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Luna HGC, Imasa MS, Juat N, Hernandez KV, Sayo TM, Cristal-Luna G, Asur-Galang SM, Bellengan M, Duga KJ, Buenaobra BB, De Los Santos MI, Medina D, Samo J, Literal VM, Sy-Naval S. NKX2‑1 copy number alterations are associated with oncogenic, immunological and prognostic remodeling in non‑small cell lung cancer. Oncol Lett 2024; 28:303. [PMID: 38774453 PMCID: PMC11106692 DOI: 10.3892/ol.2024.14436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/05/2023] [Indexed: 05/24/2024] Open
Abstract
NK2 homeobox 1 (NKX2-1) copy number alterations (CNAs) are frequently observed in lung cancer. However, little is known about the complete landscape of focal alterations in NKX2-1 copy number (CN), their clinical significance and their therapeutic implications in non-small cell lung cancer (NSCLC). The correlations between NKX2-1 expression and EGFR driver mutations and programmed death ligand 1 (PD-L1) co-expression were studied using immunohistochemistry and PCR from the tumors of recruited Filipino patients (n=45). Clinical features of NSCLC with NKX2-1 CNAs were resolved at the tumor and clonal levels using the molecular profiles of patients with lung adenocarcinoma and lung squamous cell carcinoma from The Cancer Genome Atlas (n=1,130), and deconvoluted single-cell RNA-seq data from the Bivona project (n=1,654), respectively. Despite a significant and positive correlation between expression and CN (r=0.264; P<0.001), NKX2-1 CNAs exerted a stronger influence on the combined EGFR and PD-L1 status of NSCLC tumors than expression. NKX2-1 CN gain was prognostic of favorable survival (P=0.018) and a better response to targeted therapy. NKX2-1 CN loss predicted a worse survival (P=0.041). Mutational architecture in the Y-chromosome differentiated the two prognostic groups. There were 19,941 synonymous mutations and 1,408 genome-wide CN perturbations associated with NKX2-1 CNAs. Tumors with NKX2-1 CN gain expressed lymphocyte markers more heterogeneously than those with CN loss. Higher expression of tumor-infiltrating lymphocyte gene signatures in CN gain was prognostic of longer disease-free survival (P=0.005). Tumors with NKX2-1 CN gain had higher B-cell (P<0.001) and total T-cell estimates (P=0.003). NKX2-1 CN loss was associated with immunologically colder tumors due to higher M2 macrophage infiltrates (P=0.011) and higher expression of immune checkpoint proteins, CD274 (P=0.025), VTCN1 (P<0.001) and LGALS9 (P=0.002). In conclusion, NKX2-1 CNAs are associated with tumors that exhibit clinically diverse characteristics, and with unique oncogenic, immunological and prognostic signatures.
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Affiliation(s)
- Herdee Gloriane C. Luna
- Department of Medical Oncology, Lung Center of The Philippines, Quezon City, Metro Manila 1100, Philippines
- Department of Internal Medicine, Section of Medical Oncology, National Kidney and Transplant Institute, Quezon City, Metro Manila 1101, Philippines
| | - Marcelo Severino Imasa
- Department of Medical Oncology, Lung Center of The Philippines, Quezon City, Metro Manila 1100, Philippines
| | - Necy Juat
- Department of Internal Medicine, Section of Medical Oncology, National Kidney and Transplant Institute, Quezon City, Metro Manila 1101, Philippines
| | - Katherine V. Hernandez
- Department of Internal Medicine, Section of Oncology, East Avenue Medical Center, Quezon City, Metro Manila 1100, Philippines
| | - Treah May Sayo
- Department of Pathology and Laboratory Medicine, Lung Center of The Philippines, Quezon City, Metro Manila 1100, Philippines
| | - Gloria Cristal-Luna
- Department of Internal Medicine, Section of Medical Oncology, National Kidney and Transplant Institute, Quezon City, Metro Manila 1101, Philippines
| | - Sheena Marie Asur-Galang
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Mirasol Bellengan
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Kent John Duga
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Bien Brian Buenaobra
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Marvin I. De Los Santos
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
- Globetek Science Foundation Inc., Makati, Metro Manila 1203, Philippines
| | - Daniel Medina
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Jamirah Samo
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Venus Minerva Literal
- Clinical Proteomics for Cancer Initiative, Department of Science and Technology-Philippine Council for Health Research and Development, Taguig, Metro Manila 1631, Philippines
| | - Sullian Sy-Naval
- Department of Medical Oncology, Lung Center of The Philippines, Quezon City, Metro Manila 1100, Philippines
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Forester BR, Zhang R, Schuhler B, Brostek A, Gonzalez-Vicente A, Garvin JL. Knocking Out Sodium Glucose-Linked Transporter 5 Prevents Fructose-Induced Renal Oxidative Stress and Salt-Sensitive Hypertension. Hypertension 2024; 81:1296-1307. [PMID: 38545789 PMCID: PMC11096007 DOI: 10.1161/hypertensionaha.123.22535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/05/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND A fructose high-salt (FHS) diet increases systolic blood pressure and Ang II (angiotensin II)-stimulated proximal tubule (PT) superoxide (O2-) production. These increases are prevented by scavenging O2- or an Ang II type 1 receptor antagonist. SGLT4 (sodium glucose-linked cotransporters 4) and SGLT5 are implicated in PT fructose reabsorption, but their roles in fructose-induced hypertension are unclear. We hypothesized that PT fructose reabsorption by SGLT5 initiates a genetic program enhancing Ang II-stimulated oxidative stress in males and females, thereby causing fructose-induced salt-sensitive hypertension. METHODS We measured systolic blood pressure in male and female Sprague-Dawley (wild type [WT]), SGLT4 knockout (-/-), and SGLT5-/- rats. Then, we measured basal and Ang II-stimulated (37 nmol/L) O2- production by PTs and conducted gene coexpression network analysis. RESULTS In male WT and female WT rats, FHS increased systolic blood pressure by 15±3 (n=7; P<0.0027) and 17±4 mm Hg (n=9; P<0.0037), respectively. Male and female SGLT4-/- had similar increases. Systolic blood pressure was unchanged by FHS in male and female SGLT5-/-. In male WT and female WT fed FHS, Ang II stimulated O2- production by 14±5 (n=6; P<0.0493) and 8±3 relative light units/µg protein/s (n=7; P<0.0218), respectively. The responses of SGTL4-/- were similar. Ang II did not stimulate O2- production in tubules from SGLT5-/-. Five gene coexpression modules were correlated with FHS. These correlations were completely blunted in SGLT5-/- and partially blunted by chronically scavenging O2- with tempol. CONCLUSIONS SGLT5-mediated PT fructose reabsorption is required for FHS to augment Ang II-stimulated proximal nephron O2- production, and increases in PT oxidative stress likely contribute to FHS-induced hypertension.
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Affiliation(s)
- Beau R. Forester
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Ronghao Zhang
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology & Emory University, Atlanta. Georgia
- Department of Cell Biology, Emory University School of Medicine, Atlanta, Georgia
| | - Brett Schuhler
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Autumn Brostek
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Agustin Gonzalez-Vicente
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio
- Department of Kidney Medicine, Glickman Urological & Kidney Institute, Cleveland Clinic Cleveland, Ohio
| | - Jeffrey L. Garvin
- Department of Physiology and Biophysics, Case Western Reserve University School of Medicine, Cleveland, Ohio
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3
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Pan M, Zhang Y, Wright WC, Liu X, Passaia B, Currier D, Low J, Chapple RH, Steele JA, Connelly JP, Lu M, Lee HM, Loughran AJ, Yang L, Abraham BJ, Pruett-Miller SM, Freeman B, Campbell GE, Dyer MA, Chen T, Stewart E, Koo S, Sheppard H, Easton J, Geeleher P. Bone morphogenetic protein (BMP) signaling determines neuroblastoma cell fate and sensitivity to retinoic acid. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.09.593394. [PMID: 38798584 PMCID: PMC11118433 DOI: 10.1101/2024.05.09.593394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Retinoic acid (RA) is a standard-of-care neuroblastoma drug thought to be effective by inducing differentiation. Curiously, RA has little effect on primary human tumors during upfront treatment but can eliminate neuroblastoma cells from the bone marrow during post-chemo consolidation therapy-a discrepancy that has never been explained. To investigate this, we treated a large cohort of neuroblastoma cell lines with RA and observed that the most RA-sensitive cells predominantly undergo apoptosis or senescence, rather than differentiation. We conducted genome-wide CRISPR knockout screens under RA treatment, which identified BMP signaling as controlling the apoptosis/senescence vs differentiation cell fate decision and determining RA's overall potency. We then discovered that BMP signaling activity is markedly higher in neuroblastoma patient samples at bone marrow metastatic sites, providing a plausible explanation for RA's ability to clear neuroblastoma cells specifically from the bone marrow, seemingly mimicking interactions between BMP and RA during normal development.
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4
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Costa E, Johnson KJ, Walker CA, O’Brien JM. Transcriptomic point of departure determination: a comparison of distribution-based and gene set-based approaches. Front Genet 2024; 15:1374791. [PMID: 38784034 PMCID: PMC11112360 DOI: 10.3389/fgene.2024.1374791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/02/2024] [Indexed: 05/25/2024] Open
Abstract
A key step in assessing the potential human and environmental health risks of industrial and agricultural chemicals is to determine the toxicity point of departure (POD), which is the highest dose level that causes no adverse effect. Transcriptomic POD (tPOD) values have been suggested to accurately estimate toxicity POD values. One step in the most common approach for tPOD determination involves mapping genes to annotated gene sets, a process that might lead to substantial information loss particularly in species with poor gene annotation. Alternatively, methods that calculate tPOD values directly from the distribution of individual gene POD values omit this mapping step. Using rat transcriptome data for 79 molecules obtained from Open TG-GATEs (Toxicogenomics Project Genomics Assisted Toxicity Evaluation System), the hypothesis was tested that methods based on the distribution of all individual gene POD values will give a similar tPOD value to that obtained via the gene set-based method. Gene set-based tPOD values using four different gene set structures were compared to tPOD values from five different individual gene distribution methods. Results revealed a high tPOD concordance for all methods tested, especially for molecules with at least 300 dose-responsive probesets: for 90% of those molecules, the tPOD values from all methods were within 4-fold of each other. In addition, random gene sets based upon the structure of biological knowledge-derived gene sets produced tPOD values with a median absolute fold change of 1.3-1.4 when compared to the original biological knowledge-derived gene set counterparts, suggesting that little biological information is used in the gene set-based tPOD generation approach. These findings indicate using individual gene distributions to calculate a tPOD is a viable and parsimonious alternative to using gene sets. Importantly, individual gene distribution-based tPOD methods do not require knowledge of biological organization and can be applied to any species including those with poorly annotated gene sets.
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Affiliation(s)
| | | | | | - Jason M. O’Brien
- Ecotoxicology and Wildlife Health Division, Environment and Climate Change Canada, Ottawa, ON, Canada
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5
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Koebbe LL, Hess T, Giel AS, Bigge J, Gehlen J, Schueller V, Geppert M, Dumoulin FL, Heller J, Schepke M, Plaßmann D, Vieth M, Venerito M, Schumacher J, Maj C. The genetic regulation of the gastric transcriptome is associated with metabolic and obesity-related traits and diseases. Physiol Genomics 2024; 56:384-396. [PMID: 38406838 DOI: 10.1152/physiolgenomics.00120.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/26/2024] [Accepted: 02/21/2024] [Indexed: 02/27/2024] Open
Abstract
Tissue-specific gene expression and gene regulation lead to a better understanding of tissue-specific physiology and pathophysiology. We analyzed the transcriptome and genetic regulatory profiles of two distinct gastric sites, corpus and antrum, to identify tissue-specific gene expression and its regulation. Gastric corpus and antrum mucosa biopsies were collected during routine gastroscopies from up to 431 healthy individuals. We obtained genotype and transcriptome data and performed transcriptome profiling and expression quantitative trait locus (eQTL) studies. We further used data from genome-wide association studies (GWAS) of various diseases and traits to partition their heritability and to perform transcriptome-wide association studies (TWAS). The transcriptome data from corpus and antral mucosa highlights the heterogeneity of gene expression in the stomach. We identified enriched pathways revealing distinct and common physiological processes in gastric corpus and antrum. Furthermore, we found an enrichment of the single nucleotide polymorphism (SNP)-based heritability of metabolic, obesity-related, and cardiovascular traits and diseases by considering corpus- and antrum-specifically expressed genes. Particularly, we could prioritize gastric-specific candidate genes for multiple metabolic traits, like NQO1 which is involved in glucose metabolism, MUC1 which contributes to purine and protein metabolism or RAB27B being a regulator of weight and body composition. Our findings show that gastric corpus and antrum vary in their transcriptome and genetic regulatory profiles indicating physiological differences which are mostly related to digestion and epithelial protection. Moreover, our findings demonstrate that the genetic regulation of the gastric transcriptome is linked to biological mechanisms associated with metabolic, obesity-related, and cardiovascular traits and diseases. NEW & NOTEWORTHY We analyzed the transcriptomes and genetic regulatory profiles of gastric corpus and for the first time also of antrum mucosa in 431 healthy individuals. Through tissue-specific gene expression and eQTL analyses, we uncovered unique and common physiological processes across both primary gastric sites. Notably, our findings reveal that stomach-specific eQTLs are enriched in loci associated with metabolic traits and diseases, highlighting the pivotal role of gene expression regulation in gastric physiology and potential pathophysiology.
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Affiliation(s)
- Laura L Koebbe
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Timo Hess
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Ann-Sophie Giel
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Jessica Bigge
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | - Jan Gehlen
- Center for Human Genetics, University of Marburg, Marburg, Germany
| | | | | | | | - Joerg Heller
- Marienhaus Hospital Ahrweiler, Ahrweiler, Germany
| | - Michael Schepke
- Department of Gastroenterology, Helios Hospital Siegburg, Siegburg, Germany
| | | | - Michael Vieth
- Institute for Pathology, Klinikum Bayreuth, University of Erlangen-Nuremberg, Bayreuth, Germany
| | - Marino Venerito
- Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Hospital, Magdeburg, Germany
| | | | - Carlo Maj
- Center for Human Genetics, University of Marburg, Marburg, Germany
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6
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Alhamdan F, Koutsogiannaki S, Yuki K. The landscape of immune dysregulation in pediatric sepsis at a single-cell resolution. Clin Immunol 2024; 262:110175. [PMID: 38460893 PMCID: PMC11009045 DOI: 10.1016/j.clim.2024.110175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 02/09/2024] [Accepted: 02/15/2024] [Indexed: 03/11/2024]
Abstract
Recognizing immune dysregulation as a hallmark of sepsis pathophysiology, leukocytes have attracted major attention of investigation. While adult and pediatric sepsis are clinically distinct, their immunological delineation remains limited. Single cell technologies facilitated the characterization of immune signatures. We tackled to delineate immunological profiles of pediatric sepsis at a single-cell level by analyzing blood samples from six septic children, at both acute and recovery phases, and four healthy children. 16 single-cell transcriptomic datasets were analyzed and compared to adult sepsis dataset. We showed a unique shift in neutrophil subpopulations and functions between acute and recovery phases, along with the regulatory role of resistin. Neutrophil signatures were comparable between adult and pediatric sepsis. Innate-like CD4 T cells were predominantly and uniquely observed in acute phase of pediatric sepsis. Our study serves as a rich source of information about the phenotypic diversity and trajectory of circulating immune cells during pediatric sepsis.
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Affiliation(s)
- Fahd Alhamdan
- Department of Anesthesiology, Critical Care, and Pain Medicine, Cardiac Anesthesia Division, Boston Children's Hospital, USA; Department of Immunology and Anaesthesia, Harvard Medical School, USA; Broad Institute of MIT and Harvard, USA
| | - Sophia Koutsogiannaki
- Department of Anesthesiology, Critical Care, and Pain Medicine, Cardiac Anesthesia Division, Boston Children's Hospital, USA; Department of Immunology and Anaesthesia, Harvard Medical School, USA; Broad Institute of MIT and Harvard, USA.
| | - Koichi Yuki
- Department of Anesthesiology, Critical Care, and Pain Medicine, Cardiac Anesthesia Division, Boston Children's Hospital, USA; Department of Immunology and Anaesthesia, Harvard Medical School, USA; Broad Institute of MIT and Harvard, USA.
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7
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Lyu Y, Yang Y, Talwar V, Lu H, Chen C, Salman S, Wicks EE, Huang TYT, Drehmer D, Wang Y, Zuo Q, Datan E, Jackson W, Dordai D, Wang R, Semenza GL. Hypoxia-inducible factor 1 recruits FACT and RNF20/40 to mediate histone ubiquitination and transcriptional activation of target genes. Cell Rep 2024; 43:113972. [PMID: 38517892 DOI: 10.1016/j.celrep.2024.113972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 02/01/2024] [Accepted: 03/01/2024] [Indexed: 03/24/2024] Open
Abstract
Hypoxia-inducible factor 1 (HIF-1) is a transcriptional activator that mediates cellular adaptation to decreased oxygen availability. HIF-1 recruits chromatin-modifying enzymes leading to changes in histone acetylation, citrullination, and methylation at target genes. Here, we demonstrate that hypoxia-inducible gene expression in estrogen receptor (ER)-positive MCF7 and ER-negative SUM159 human breast cancer cells requires the histone H2A/H2B chaperone facilitates chromatin transcription (FACT) and the H2B ubiquitin ligase RING finger protein 20/40 (RNF20/40). Knockdown of FACT or RNF20/40 expression leads to decreased transcription initiation and elongation at HIF-1 target genes. Mechanistically, FACT and RNF20/40 are recruited to hypoxia response elements (HREs) by HIF-1 and stabilize binding of HIF-1 (and each other) at HREs. Hypoxia induces the monoubiquitination of histone H2B at lysine 120 at HIF-1 target genes in an HIF-1-dependent manner. Together, these findings delineate a cooperative molecular mechanism by which FACT and RNF20/40 stabilize multiprotein complex formation at HREs and mediate histone ubiquitination to facilitate HIF-1 transcriptional activity.
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Affiliation(s)
- Yajing Lyu
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yongkang Yang
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21205, USA
| | - Varen Talwar
- Johns Hopkins University, Baltimore, MD 21218, USA
| | - Haiquan Lu
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21205, USA
| | - Chelsey Chen
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Shaima Salman
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Elizabeth E Wicks
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tina Yi-Ting Huang
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Daiana Drehmer
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Yufeng Wang
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Qiaozhu Zuo
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Emmanuel Datan
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Walter Jackson
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Dominic Dordai
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ru Wang
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Gregg L Semenza
- Armstrong Oxygen Biology Research Center and Vascular Program, Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21205, USA.
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8
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Giudice G, Chen H, Koutsandreas T, Petsalaki E. phuEGO: A Network-Based Method to Reconstruct Active Signaling Pathways From Phosphoproteomics Datasets. Mol Cell Proteomics 2024; 23:100771. [PMID: 38642805 PMCID: PMC11134849 DOI: 10.1016/j.mcpro.2024.100771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 04/08/2024] [Accepted: 04/17/2024] [Indexed: 04/22/2024] Open
Abstract
Signaling networks are critical for virtually all cell functions. Our current knowledge of cell signaling has been summarized in signaling pathway databases, which, while useful, are highly biased toward well-studied processes, and do not capture context specific network wiring or pathway cross-talk. Mass spectrometry-based phosphoproteomics data can provide a more unbiased view of active cell signaling processes in a given context, however, it suffers from low signal-to-noise ratio and poor reproducibility across experiments. While progress in methods to extract active signaling signatures from such data has been made, there are still limitations with respect to balancing bias and interpretability. Here we present phuEGO, which combines up-to-three-layer network propagation with ego network decomposition to provide small networks comprising active functional signaling modules. PhuEGO boosts the signal-to-noise ratio from global phosphoproteomics datasets, enriches the resulting networks for functional phosphosites and allows the improved comparison and integration across datasets. We applied phuEGO to five phosphoproteomics data sets from cell lines collected upon infection with SARS CoV2. PhuEGO was better able to identify common active functions across datasets and to point to a subnetwork enriched for known COVID-19 targets. Overall, phuEGO provides a flexible tool to the community for the improved functional interpretation of global phosphoproteomics datasets.
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Affiliation(s)
- Girolamo Giudice
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Haoqi Chen
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Thodoris Koutsandreas
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom
| | - Evangelia Petsalaki
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridgeshire, United Kingdom.
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9
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Foltz L, Avabhrath N, Lanchy JM, Levy T, Possemato A, Ariss M, Peterson B, Grimes M. Craniofacial chondrogenesis in organoids from human stem cell-derived neural crest cells. iScience 2024; 27:109585. [PMID: 38623327 PMCID: PMC11016914 DOI: 10.1016/j.isci.2024.109585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 02/27/2024] [Accepted: 03/25/2024] [Indexed: 04/17/2024] Open
Abstract
Knowledge of cell signaling pathways that drive human neural crest differentiation into craniofacial chondrocytes is incomplete, yet essential for using stem cells to regenerate craniomaxillofacial structures. To accelerate translational progress, we developed a differentiation protocol that generated self-organizing craniofacial cartilage organoids from human embryonic stem cell-derived neural crest stem cells. Histological staining of cartilage organoids revealed tissue architecture and staining typical of elastic cartilage. Protein and post-translational modification (PTM) mass spectrometry and snRNA-seq data showed that chondrocyte organoids expressed robust levels of cartilage extracellular matrix (ECM) components: many collagens, aggrecan, perlecan, proteoglycans, and elastic fibers. We identified two populations of chondroprogenitor cells, mesenchyme cells and nascent chondrocytes, and the growth factors involved in paracrine signaling between them. We show that ECM components secreted by chondrocytes not only create a structurally resilient matrix that defines cartilage, but also play a pivotal autocrine cell signaling role in determining chondrocyte fate.
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Affiliation(s)
- Lauren Foltz
- Division of Biological Sciences, Center for Biomolecular Structure and Dynamics, Center for Structural and Functional Neuroscience, The University of Montana, Missoula, MT 59812, USA
| | - Nagashree Avabhrath
- Division of Biological Sciences, Center for Biomolecular Structure and Dynamics, Center for Structural and Functional Neuroscience, The University of Montana, Missoula, MT 59812, USA
| | - Jean-Marc Lanchy
- Division of Biological Sciences, Center for Biomolecular Structure and Dynamics, Center for Structural and Functional Neuroscience, The University of Montana, Missoula, MT 59812, USA
| | - Tyler Levy
- Cell Signaling Technology, Danvers, MA 01923, USA
| | | | - Majd Ariss
- Cell Signaling Technology, Danvers, MA 01923, USA
| | | | - Mark Grimes
- Division of Biological Sciences, Center for Biomolecular Structure and Dynamics, Center for Structural and Functional Neuroscience, The University of Montana, Missoula, MT 59812, USA
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10
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Andrade-Brito DE, Núñez-Ríos DL, Martínez-Magaña JJ, Nagamatsu ST, Rompala G, Zillich L, Witt SH, Clark SL, Lattig MC, Montalvo-Ortiz JL. Neuronal-specific methylome and hydroxymethylome analysis reveal significant loci associated with alcohol use disorder. Front Genet 2024; 15:1345410. [PMID: 38633406 PMCID: PMC11021708 DOI: 10.3389/fgene.2024.1345410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/14/2024] [Indexed: 04/19/2024] Open
Abstract
Background: Alcohol use disorder (AUD) is a complex condition associated with adverse health consequences that affect millions of individuals worldwide. Epigenetic modifications, including DNA methylation (5 mC), have been associated with AUD and other alcohol-related traits. Epigenome-wide association studies (EWAS) have identified differentially methylated genes associated with AUD in human peripheral and brain tissue. More recently, epigenetic studies of AUD have also evaluated DNA hydroxymethylation (5 hmC) in the human brain. However, most of the epigenetic work in postmortem brain tissue has examined bulk tissue. In this study, we investigated neuronal-specific 5 mC and 5 hmC alterations at CpG sites associated with AUD in the human orbitofrontal cortex (OFC). Methods: Neuronal nuclei from the OFC were evaluated in 34 human postmortem brain samples (10 AUD, 24 non-AUD). Reduced representation oxidative bisulfite sequencing was used to assess 5 mC and 5 hmC at the genome-wide level. Differential 5 mC and 5 hmC were evaluated using the methylKit R package and significance was set at false discovery rate < 0.05 and differential methylation > 2. Functional enrichment analyses were performed, and gene-level convergence was evaluated in an independent dataset that assessed 5 mC and 5 hmC of AUD in bulk cortical tissue. Results: We identified 417 5 mC and 363 5hmC significant differential CpG sites associated with AUD, with 59% in gene promoters. Some of the identified genes have been previously implicated in alcohol consumption, including SYK, DNMT3A for 5 mC, GAD1, DLX1, DLX2, for 5 hmC and GATA4 in both. Convergence with a previous AUD 5 mC and 5 hmC study was observed for 28 genes. We also identified 5 and 35 differential regions for 5 mC and 5 hmC, respectively. Lastly, GWAS enrichment analysis showed an association with AUD for differential 5 mC genes. Discussion: This study reveals neuronal-specific methylome and hydroxymethylome dysregulation associated with AUD, identifying both previously reported and potentially novel gene associations with AUD. Our findings provide new insights into the epigenomic dysregulation of AUD in the human brain.
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Affiliation(s)
- Diego E. Andrade-Brito
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, United States
| | - Diana L. Núñez-Ríos
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, United States
| | - José Jaime Martínez-Magaña
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, United States
| | - Sheila T. Nagamatsu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, United States
| | - Gregory Rompala
- Icahn School of Medicine at Mount Sinai, New York City, NY, United States
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Shaunna L. Clark
- Department of Psychiatry and Behavioral Sciences, Texas A&M University, College Station, TX, United States
| | - Maria C. Lattig
- Facultad de Ciencias, Universidad de los Andes, Bogotá, Colombia
| | - Janitza L. Montalvo-Ortiz
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, United States
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11
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Shen L, Ma X, Wang Y, Wang Z, Zhang Y, Pham HQH, Tao X, Cui Y, Wei J, Lin D, Abeywanada T, Hardikar S, Halabelian L, Smith N, Chen T, Barsyte-Lovejoy D, Qiu S, Xing Y, Yang Y. Loss-of-function mutation in PRMT9 causes abnormal synapse development by dysregulation of RNA alternative splicing. Nat Commun 2024; 15:2809. [PMID: 38561334 PMCID: PMC10984984 DOI: 10.1038/s41467-024-47107-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 03/16/2024] [Indexed: 04/04/2024] Open
Abstract
Protein arginine methyltransferase 9 (PRMT9) is a recently identified member of the PRMT family, yet its biological function remains largely unknown. Here, by characterizing an intellectual disability associated PRMT9 mutation (G189R) and establishing a Prmt9 conditional knockout (cKO) mouse model, we uncover an important function of PRMT9 in neuronal development. The G189R mutation abolishes PRMT9 methyltransferase activity and reduces its protein stability. Knockout of Prmt9 in hippocampal neurons causes alternative splicing of ~1900 genes, which likely accounts for the aberrant synapse development and impaired learning and memory in the Prmt9 cKO mice. Mechanistically, we discover a methylation-sensitive protein-RNA interaction between the arginine 508 (R508) of the splicing factor 3B subunit 2 (SF3B2), the site that is exclusively methylated by PRMT9, and the pre-mRNA anchoring site, a cis-regulatory element that is critical for RNA splicing. Additionally, using human and mouse cell lines, as well as an SF3B2 arginine methylation-deficient mouse model, we provide strong evidence that SF3B2 is the primary methylation substrate of PRMT9, thus highlighting the conserved function of the PRMT9/SF3B2 axis in regulating pre-mRNA splicing.
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Affiliation(s)
- Lei Shen
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
| | - Xiaokuang Ma
- Basic Medical Sciences, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, 85004, USA
| | - Yuanyuan Wang
- Bioinformatics Interdepartmental Graduate Program, University of California, Los Angeles, CA, 90095, USA
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Zhihao Wang
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
| | - Yi Zhang
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
| | - Hoang Quoc Hai Pham
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
- Irell & Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Xiaoqun Tao
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
- Irell & Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA
| | - Yuehua Cui
- Basic Medical Sciences, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, 85004, USA
| | - Jing Wei
- Basic Medical Sciences, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, 85004, USA
| | - Dimitri Lin
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
| | - Tharindumala Abeywanada
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA
| | - Swanand Hardikar
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Levon Halabelian
- Structural Genomics Consortium, University of Toronto, Toronto, ON, Canada
| | - Noah Smith
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Taiping Chen
- Department of Epigenetics and Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | | | - Shenfeng Qiu
- Basic Medical Sciences, University of Arizona College of Medicine-Phoenix, Phoenix, AZ, 85004, USA.
| | - Yi Xing
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
| | - Yanzhong Yang
- Department of Cancer Genetics and Epigenetics, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA, 91010, USA.
- Irell & Manella Graduate School of Biological Sciences, Beckman Research Institute of City of Hope, Duarte, CA, 91010, USA.
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12
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Nataf S, Guillen M, Pays L. The Immunometabolic Gene N-Acetylglucosamine Kinase Is Uniquely Involved in the Heritability of Multiple Sclerosis Severity. Int J Mol Sci 2024; 25:3803. [PMID: 38612613 PMCID: PMC11011344 DOI: 10.3390/ijms25073803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/22/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
The clinical severity of multiple sclerosis (MS), an autoimmune disorder of the central nervous system, is thought to be determined by environmental and genetic factors that have not yet been identified. In a recent genome-wide association study (GWAS), a single nucleotide polymorphism (SNP), rs10191329, has been associated with MS severity in two large independent cohorts of patients. Different approaches were followed by the authors to prioritize the genes that are transcriptionally regulated by such an SNP. It was concluded that the identified SNP regulates a group of proximal genes involved in brain resilience and cognitive abilities rather than immunity. Here, by conducting an alternative strategy for gene prioritization, we reached the opposite conclusion. According to our re-analysis, the main target of rs10191329 is N-Acetylglucosamine Kinase (NAGK), a metabolic gene recently shown to exert major immune functions via the regulation of the nucleotide-binding oligomerization domain-containing protein 2 (NOD2) pathway. To gain more insights into the immunometabolic functions of NAGK, we analyzed the currently known list of NAGK protein partners. We observed that NAGK integrates a dense network of human proteins that are involved in glucose metabolism and are highly expressed by classical monocytes. Our findings hold potentially major implications for the understanding of MS pathophysiology.
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Affiliation(s)
- Serge Nataf
- Bank of Tissues and Cells, Hospices Civils de Lyon, Hôpital Edouard Herriot, Place d’Arsonval, F-69003 Lyon, France
- Stem-Cell and Brain Research Institute, 18 Avenue du Doyen Lépine, F-69500 Bron, France
- Lyon-Est School of Medicine, University Claude Bernard Lyon 1, 43 Bd du 11 Novembre 1918, F-69100 Villeurbanne, France
| | - Marine Guillen
- Bank of Tissues and Cells, Hospices Civils de Lyon, Hôpital Edouard Herriot, Place d’Arsonval, F-69003 Lyon, France
- Stem-Cell and Brain Research Institute, 18 Avenue du Doyen Lépine, F-69500 Bron, France
| | - Laurent Pays
- Bank of Tissues and Cells, Hospices Civils de Lyon, Hôpital Edouard Herriot, Place d’Arsonval, F-69003 Lyon, France
- Stem-Cell and Brain Research Institute, 18 Avenue du Doyen Lépine, F-69500 Bron, France
- Lyon-Est School of Medicine, University Claude Bernard Lyon 1, 43 Bd du 11 Novembre 1918, F-69100 Villeurbanne, France
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13
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Chua R, Wang L, Singaraja R, Ghosh S. Functional and Multi-Omics Effects of an Optimized CRISPR-Mediated FURIN Depletion in U937 Monocytes. Cells 2024; 13:588. [PMID: 38607027 DOI: 10.3390/cells13070588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/08/2024] [Accepted: 03/12/2024] [Indexed: 04/13/2024] Open
Abstract
The pro-protein convertase FURIN (PCSK3) is implicated in a wide range of normal and pathological biological processes such as infectious diseases, cancer and cardiovascular diseases. Previously, we performed a systemic inhibition of FURIN in a mouse model of atherosclerosis and demonstrated significant plaque reduction and alterations in macrophage function. To understand the cellular mechanisms affected by FURIN inhibition in myeloid cells, we optimized a CRISPR-mediated gene deletion protocol for successfully deriving hemizygous (HZ) and nullizygous (NZ) FURIN knockout clones in U937 monocytic cells using lipotransfection-based procedures and a dual guide RNA delivery strategy. We observed differences in monocyte and macrophage functions involving phagocytosis, lipid accumulation, cell migration, inflammatory gene expression, cytokine release patterns, secreted proteomics (cytokines) and whole-genome transcriptomics between wild-type, HZ and NZ FURIN clones. These studies provide a mechanistic basis on the possible roles of myeloid cell FURIN in cardiovascular disorders.
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Affiliation(s)
- Ruiming Chua
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Lijin Wang
- Centre for Computational Biology, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Roshni Singaraja
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
| | - Sujoy Ghosh
- Program in Cardiovascular and Metabolic Disorders, Duke-NUS Medical School, Singapore 169857, Singapore
- Centre for Computational Biology, Duke-NUS Medical School, Singapore 169857, Singapore
- Laboratory of Computational Biology, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
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14
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Scott HM, Smith MH, Coleman AK, Armijo KS, Chapman MJ, Apostalo SL, Wagner AR, Watson RO, Patrick KL. Serine/arginine-rich splicing factor 7 promotes the type I interferon response by activating Irf7 transcription. Cell Rep 2024; 43:113816. [PMID: 38393946 PMCID: PMC11056844 DOI: 10.1016/j.celrep.2024.113816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 12/19/2023] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
Tight regulation of macrophage immune gene expression is required to fight infection without risking harmful inflammation. The contribution of RNA-binding proteins (RBPs) to shaping the macrophage response to pathogens remains poorly understood. Transcriptomic analysis reveals that a member of the serine/arginine-rich (SR) family of mRNA processing factors, SRSF7, is required for optimal expression of a cohort of interferon-stimulated genes in macrophages. Using genetic and biochemical assays, we discover that in addition to its canonical role in regulating alternative splicing, SRSF7 drives transcription of interferon regulatory transcription factor 7 (IRF7) to promote antiviral immunity. At the Irf7 promoter, SRSF7 maximizes STAT1 transcription factor binding and RNA polymerase II elongation via cooperation with the H4K20me1 histone methyltransferase KMT5a (SET8). These studies define a role for an SR protein in activating transcription and reveal an RBP-chromatin network that orchestrates macrophage antiviral gene expression.
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Affiliation(s)
- Haley M Scott
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Mackenzie H Smith
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Aja K Coleman
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Kaitlyn S Armijo
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Morgan J Chapman
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Summer L Apostalo
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Allison R Wagner
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Robert O Watson
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA
| | - Kristin L Patrick
- Department of Microbial Pathogenesis and Immunology, Texas A&M Health, College of Medicine, Bryan, TX 77807, USA.
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15
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Sharma P, Kaur P, Bhatia P, Trehan A, Sreedharanunni S, Singh M. Novel lncRNAs LINC01221, RP11-472G21.2 and CRNDE are markers of differential expression in pediatric patients with T cell acute lymphoblastic leukemia. Cancer Cell Int 2024; 24:65. [PMID: 38336706 PMCID: PMC10858595 DOI: 10.1186/s12935-024-03255-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/02/2024] [Indexed: 02/12/2024] Open
Abstract
INTRODUCTION Pediatric T-cell acute lymphoblastic leukemia (T-ALL) poses significant challenges due to its aggressive nature and resistance to standard treatments. Long non-coding RNAs (lncRNAs) have emerged as potential biomarkers and therapeutic targets in leukemia. This study aims to characterize the lncRNA landscape in pediatric T-ALL, identify specific lncRNAs signatures, and assess their clinical relevance. METHODS RNA sequencing was performed on T-ALL patient and control samples. Differential expression analysis identified dysregulated lncRNAs and mRNAs. Functional enrichment analysis revealed potential roles of these lncRNAs in cancer pathogenesis. Validation of candidate lncRNAs was conducted using real-time PCR. Clinical correlations were assessed, including associations with patients' clinical characteristics and survival outcomes. RESULTS Analysis identified 674 dysregulated lncRNAs in pediatric T-ALL, with LINC01221 and CRNDE showing the most interactions in cancer progression pathways. Functional enrichment indicated involvement in apoptosis, survival, proliferation, and metastasis. Top 10 lncRNAs based on adjusted p value < 0.05 and Fold Change > 2 were selected for validation. Seven lncRNAs LINC01221, PCAT18, LINC00977, RP11-620J15.3, RP11-472G21.2, CTD-2291D10.4, and CRNDE showed correlation with RNA sequencing data. RP11-472G21.2 and CTD-2291D10.4 were highly expressed in T-ALL patients, with RP11-620J15.3 correlating significantly with better overall survival (p = 0.0007) at a median follow up of 32 months. The identified lncRNAs were further analysed in B-ALL patients. Distinct lncRNAs signatures were noted, distinguishing T-ALL from B-ALL and healthy controls, with lineage-specific overexpression of LINC01221 (p < 0.0001), RP11-472G21.2 (p < 0.001) and CRNDE (p = 0.04) in T-ALL. CONCLUSION This study provides insights into the lncRNA landscape of pediatric T-ALL, offering potential diagnostic and prognostic markers. RP11-620J15.3 emerges as a promising prognostic marker, and distinct lncRNAs signatures may aid in the differentiation of T-ALL subtypes. Further research with larger cohorts is warranted to validate these findings and advance personalized treatment strategies for pediatric T-ALL patients.
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Affiliation(s)
- Pankaj Sharma
- Hematology-Oncology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Parminder Kaur
- Hematology-Oncology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Prateek Bhatia
- Hematology-Oncology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Amita Trehan
- Hematology-Oncology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Sreejesh Sreedharanunni
- Department of Hematology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Minu Singh
- Hematology-Oncology Unit, Department of Pediatrics, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
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16
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Farahmandnejad M, Mosaddeghi P, Dorvash M, Sakhteman A, Negahdaripour M, Faridi P. Correlation of Myeloid-Derived Suppressor Cell Expansion with Upregulated Transposable Elements in Severe COVID-19 Unveiled in Single-Cell RNA Sequencing Reanalysis. Biomedicines 2024; 12:315. [PMID: 38397917 PMCID: PMC10887269 DOI: 10.3390/biomedicines12020315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/14/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Some studies have investigated the potential role of transposable elements (TEs) in COVID-19 pathogenesis and complications. However, to the best of our knowledge, there is no study to examine the possible association of TE expression in cell functions and its potential role in COVID-19 immune response at the single-cell level. In this study, we reanalyzed single-cell RNA seq data of bronchoalveolar lavage (BAL) samples obtained from six severe COVID-19 patients and three healthy donors to assess the probable correlation of TE expression with the immune responses induced by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in COVID-19 patients. Our findings indicate that the expansion of myeloid-derived suppressor cells (MDSCs) may be a characteristic feature of COVID-19. Additionally, a significant increase in TE expression in MDSCs was observed. This upregulation of TEs in COVID-19 may be linked to the adaptability of these cells in response to their microenvironments. Furthermore, it appears that the identification of overexpressed TEs by pattern recognition receptors (PRRs) in MDSCs may enhance the suppressive capacity of these cells. Thus, this study emphasizes the crucial role of TEs in the functionality of MDSCs during COVID-19.
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Affiliation(s)
- Mitra Farahmandnejad
- Quality Control of Drug Products Department, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran;
- Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Pouria Mosaddeghi
- Medicinal Plants Processing Research Center, School of Pharmacy, Shiraz University of Medical Science, Shiraz 71348-14336, Iran;
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Mohammadreza Dorvash
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3800, Australia;
| | - Amirhossein Sakhteman
- Proteomics and Bioanalytics, Department of Molecular Life Sciences, School of Life Sciences, Technical University of Munich, 80333 Munich, Germany;
| | - Manica Negahdaripour
- Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
- Department of Pharmaceutical Biotechnology, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz 71348-14336, Iran
| | - Pouya Faridi
- Monash Proteomics and Metabolomics Platform, Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC 3800, Australia
- Centre for Cancer Research, Hudson Institute of Medical Research, Clayton, VIC 3168, Australia
- Department of Molecular and Translational Science, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC 3168, Australia
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17
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Alhamdan F, Koutsogiannaki S, Yuki K. The landscape of immune dysregulation in pediatric sepsis at a single-cell resolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.17.576030. [PMID: 38293080 PMCID: PMC10827142 DOI: 10.1101/2024.01.17.576030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Recognizing immune dysregulation as a hallmark of sepsis pathophysiology, leukocytes have attracted major attention of investigation. While adult and pediatric sepsis are clinically distinct, their immunological delineation remains limited. Breakthrough of single cell technologies facilitated the characterization of immune signatures. We tackled to delineate immunological profiles of pediatric sepsis at a single-cell level by analyzing blood samples from six septic children, at both acute and recovery phases, and four healthy children. 16 single-cell transcriptomic datasets (96,156 cells) were analyzed and compared to adult sepsis dataset. We showed a unique shift in neutrophil subpopulations and functions between acute and recovery phases, along with examining the regulatory role of resistin. Neutrophil signatures were comparable between adult and pediatric sepsis. Innate-like CD4 T cells were predominantly and uniquely observed in acute phase of pediatric sepsis. Our study provides a thorough and comprehensive understanding of immune dysregulation in pediatric sepsis.
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18
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Villar SR, Herreros-Cabello A, Callejas-Hernández F, Maza MC, Del Moral-Salmoral J, Gómez-Montes M, Rodríguez-Angulo HO, Carrillo I, Górgolas M, Bosch-Nicolau P, Molina I, Pérez-Molina JA, Monge-Maillo B, Bottasso OA, Beloscar J, Pérez AR, Fresno M, Gironès N. Discovery of circulating miRNAs as biomarkers of chronic Chagas heart disease via a small RNA-Seq approach. Sci Rep 2024; 14:1187. [PMID: 38216639 PMCID: PMC10786931 DOI: 10.1038/s41598-024-51487-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/05/2024] [Indexed: 01/14/2024] Open
Abstract
Chagas disease affects approximately 7 million people worldwide in Latin America and is a neglected tropical disease. Twenty to thirty percent of chronically infected patients develop chronic Chagas cardiomyopathy decades after acute infection. Identifying biomarkers of Chagas disease progression is necessary to develop better therapeutic and preventive strategies. Circulating microRNAs are increasingly reliable biomarkers of disease and therapeutic targets. To identify new circulating microRNAs for Chagas disease, we performed exploratory small RNA sequencing from the plasma of patients and performed de novo miRNA prediction, identifying potential new microRNAs. The levels of the new microRNAs temporarily named miR-Contig-1519 and miR-Contig-3244 and microRNAs that are biomarkers for nonchagasic cardiomyopathies, such as miR-148a-3p and miR-224-5p, were validated by quantitative reverse transcription. We found a specific circulating microRNA signature defined by low miR-Contig-3244, miR-Contig-1519, and miR-148a-3 levels but high miR-224-5p levels for patients with chronic Chagas disease. Finally, we predicted in silico that these altered circulating microRNAs could affect the expression of target genes involved in different cellular pathways and biological processes, which we will explore in the future.
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Affiliation(s)
- Silvina R Villar
- Instituto de Inmunología Clínica y Experimental de Rosario (IDICER-CONICET-UNR), Rosario, Argentina
| | - Alfonso Herreros-Cabello
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
| | - Francisco Callejas-Hernández
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY, USA
| | - María C Maza
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
| | - Javier Del Moral-Salmoral
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
| | - Mario Gómez-Montes
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
| | | | - Irene Carrillo
- Division of Infectious Diseases, IIS-Fundación Jiménez Díaz, Madrid, Spain
- Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Miguel Górgolas
- Division of Infectious Diseases, IIS-Fundación Jiménez Díaz, Madrid, Spain
- Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Pau Bosch-Nicolau
- International Health Unit Vall d'Hebron-Drassanes, Infectious Diseases Department, Vall d'Hebron University Hospital, PROSICS Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Israel Molina
- International Health Unit Vall d'Hebron-Drassanes, Infectious Diseases Department, Vall d'Hebron University Hospital, PROSICS Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - José A Pérez-Molina
- National Referral Unit for Tropical Diseases, Infectious Diseases Department, Ramón y Cajal University Hospital, IRICYS, Madrid, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Begoña Monge-Maillo
- National Referral Unit for Tropical Diseases, Infectious Diseases Department, Ramón y Cajal University Hospital, IRICYS, Madrid, Spain
- CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain
| | - Oscar A Bottasso
- Instituto de Inmunología Clínica y Experimental de Rosario (IDICER-CONICET-UNR), Rosario, Argentina
| | - Juan Beloscar
- Cátedra y Servicio de Cardiología, Sección Chagas, Hospital Provincial del Centenario, Rosario, Argentina
| | - Ana R Pérez
- Instituto de Inmunología Clínica y Experimental de Rosario (IDICER-CONICET-UNR), Rosario, Argentina
| | - Manuel Fresno
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain
- Instituto Universitario de Biología Molecular, Universidad Autónoma de Madrid (IUBM-UAM), Madrid, Spain
- Instituto de Investigación Sanitaria, Hospital Universitario de La Princesa, Madrid, Spain
| | - Núria Gironès
- Departamento de Biología Molecular, Universidad Autónoma de Madrid (UAM), 28049, Madrid, Spain.
- Centro de Biología Molecular Severo Ochoa (CSIC-UAM), Madrid, Spain.
- Instituto Universitario de Biología Molecular, Universidad Autónoma de Madrid (IUBM-UAM), Madrid, Spain.
- Instituto de Investigación Sanitaria, Hospital Universitario de La Princesa, Madrid, Spain.
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19
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Gordon WE, Baek S, Nguyen HP, Kuo YM, Bradley R, Fong SL, Kim N, Galazyuk A, Lee I, Ingala MR, Simmons NB, Schountz T, Cooper LN, Georgakopoulos-Soares I, Hemberg M, Ahituv N. Integrative single-cell characterization of a frugivorous and an insectivorous bat kidney and pancreas. Nat Commun 2024; 15:12. [PMID: 38195585 PMCID: PMC10776631 DOI: 10.1038/s41467-023-44186-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 12/03/2023] [Indexed: 01/11/2024] Open
Abstract
Frugivory evolved multiple times in mammals, including bats. However, the cellular and molecular components driving it remain largely unknown. Here, we use integrative single-cell sequencing (scRNA-seq and scATAC-seq) on insectivorous (Eptesicus fuscus; big brown bat) and frugivorous (Artibeus jamaicensis; Jamaican fruit bat) bat kidneys and pancreases and identify key cell population, gene expression and regulatory differences associated with the Jamaican fruit bat that also relate to human disease, particularly diabetes. We find a decrease in loop of Henle and an increase in collecting duct cells, and differentially active genes and regulatory elements involved in fluid and electrolyte balance in the Jamaican fruit bat kidney. The Jamaican fruit bat pancreas shows an increase in endocrine and a decrease in exocrine cells, and differences in genes and regulatory elements involved in insulin regulation. We also find that these frugivorous bats share several molecular characteristics with human diabetes. Combined, our work provides insights from a frugivorous mammal that could be leveraged for therapeutic purposes.
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Affiliation(s)
- Wei E Gordon
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94158, USA
- Department of Biology, Menlo College, 1000 El Camino Real, Atherton, CA, 94027, USA
| | - Seungbyn Baek
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Hai P Nguyen
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Yien-Ming Kuo
- Department of Ophthalmology, University of California, San Francisco, San Francisco, CA, 94143, USA
| | - Rachael Bradley
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Sarah L Fong
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Nayeon Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
| | - Alex Galazyuk
- Hearing Research Focus Area, Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, OH, USA
| | - Insuk Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea
- POSTECH Biotech Center, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea
| | - Melissa R Ingala
- Department of Biological Sciences, Fairleigh Dickinson University, Madison, NJ, 07940, USA
| | - Nancy B Simmons
- Division of Vertebrate Zoology, Department of Mammalogy, American Museum of Natural History, New York, NY, 10024, USA
| | - Tony Schountz
- Department of Microbiology, Immunology, and Pathology, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, 80523, USA
| | - Lisa Noelle Cooper
- Musculoskeletal Research Focus Area, Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, OH, 44272, USA
| | - Ilias Georgakopoulos-Soares
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, 17033, USA
| | - Martin Hemberg
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, 94158, USA.
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, 94158, USA.
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20
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Pastrello C, Kotlyar M, Abovsky M, Lu R, Jurisica I. PathDIP 5: improving coverage and making enrichment analysis more biologically meaningful. Nucleic Acids Res 2024; 52:D663-D671. [PMID: 37994706 PMCID: PMC10767947 DOI: 10.1093/nar/gkad1027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 11/24/2023] Open
Abstract
Pathway Data Integration Portal (PathDIP) is an integrated pathway database that was developed to increase functional gene annotation coverage and reduce bias in pathway enrichment analysis. PathDIP 5 provides multiple improvements to enable more interpretable analysis: users can perform enrichment analysis using all sources, separate sources or by combining specific pathway subsets; they can select the types of sources to use or the types of pathways for the analysis, reducing the number of resulting generic pathways or pathways not related to users' research question; users can use API. All pathways have been mapped to seven representative types. The results of pathway enrichment can be summarized through knowledge-based pathway consolidation. All curated pathways were mapped to 53 pathway ontology-based categories. In addition to genes, pathDIP 5 now includes metabolites. We updated existing databases, included two new sources, PathBank and MetabolicAtlas, and removed outdated databases. We enable users to analyse their results using Drugst.One, where a drug-gene network is created using only the user's genes in a specific pathway. Interpreting the results of any analysis is now improved by multiple charts on all the results pages. PathDIP 5 is freely available at https://ophid.utoronto.ca/pathDIP.
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Affiliation(s)
- Chiara Pastrello
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, Toronto, Ontario M5T 0S8, Canada
- Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Krembil Discovery Tower, Toronto, ON M5T 0S8, Canada
| | - Max Kotlyar
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, Toronto, Ontario M5T 0S8, Canada
- Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Krembil Discovery Tower, Toronto, ON M5T 0S8, Canada
| | - Mark Abovsky
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, Toronto, Ontario M5T 0S8, Canada
- Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Krembil Discovery Tower, Toronto, ON M5T 0S8, Canada
| | - Richard Lu
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, Toronto, Ontario M5T 0S8, Canada
- Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Krembil Discovery Tower, Toronto, ON M5T 0S8, Canada
| | - Igor Jurisica
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, Toronto, Ontario M5T 0S8, Canada
- Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Krembil Discovery Tower, Toronto, ON M5T 0S8, Canada
- Departments of Medical Biophysics and Computer Science, and Faculty of Dentistry, University of Toronto, Toronto, ON M5G 1L7, Canada
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovakia
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21
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Tüylü Küçükkılınç T, Ercan A. Phenelzine protects against acetaminophen induced apoptosis in HepG2 cells. Drug Chem Toxicol 2024; 47:81-89. [PMID: 37246945 DOI: 10.1080/01480545.2023.2217696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/04/2023] [Accepted: 04/08/2023] [Indexed: 05/30/2023]
Abstract
Acetaminophen (APAP) overdosing is the most common cause of drug-induced liver failure. Despite extensive study, N-acetylcysteine is currently the only antidote utilized for treatment. The purpose of this study was to evaluate the effect and mechanisms of phenelzine, an FDA-approved antidepressant, on APAP-induced toxicity in HepG2 cells. The human liver hepatocellular cell line HepG2 was used to investigate APAP-induced cytotoxicity. The protective effects of phenelzine were determined by examining the cell viability, combination index calculation, Caspase 3/7 activation, Cytochrome c release, H2O2 levels, NO levels, GSH activity, PERK protein levels, and pathway enrichment analysis. Elevated H2O2 production and decreased glutathione (GSH) levels were indicators of APAP-induced oxidative stress. The combination index of 2.04 indicated that phenelzine had an antagonistic effect on APAP-induced toxicity. When compared to APAP alone, phenelzine treatment considerably reduced caspase 3/7 activation, cytochrome c release, and H2O2 generation. However, phenelzine had minimal effect on NO and GSH levels and did not alleviate ER stress. Pathway enrichment analysis revealed a potential connection between APAP toxicity and phenelzine metabolism. These findings suggested that phenelzine's protective effect against APAP-induced cytotoxicity could be attributed to the drug's capacity to reduce APAP-mediated apoptotic signaling.
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Affiliation(s)
| | - Ayşe Ercan
- Department of Biochemistry, Hacettepe University Faculty of Pharmacy, Ankara, Turkey
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22
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Grantham EK, Tiwari GR, Ponomareva O, Harris RA, Lopez MF, Becker HC, Mayfield RD. Transcriptome changes in the nucleus of the solitary tract induced by repeated stress, alcohol dependence, or stress-induced drinking in dependent mice. Neuropharmacology 2024; 242:109768. [PMID: 37865137 PMCID: PMC10688594 DOI: 10.1016/j.neuropharm.2023.109768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 10/09/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023]
Abstract
Stress increases alcohol consumption in dependent animals and contributes to the development of alcohol use disorder. The nucleus of the solitary tract (NTS) is a critical brainstem region for integrating and relaying central and peripheral signals to regulate stress responses, but it is not known if it plays a role in alcohol dependence- or in stress-induced escalations in alcohol drinking in dependent mice. Here, we used RNA-sequencing and bioinformatics analyses to study molecular adaptations in the NTS of C57BL/6J male mice that underwent an ethanol drinking procedure that uses exposure to chronic intermittent ethanol (CIE) vapor, forced swim stress (FSS), or both conditions (CIE + FSS). Transcriptome profiling was performed at three different times after the last vapor cycle (0-hr, 72-hr, and 168-hr) to identify changes in gene expression associated with different stages of ethanol intoxication and withdrawal. In the CIE and CIE + FSS groups at 0-hr, there was upregulation of genes enriched for cellular response to type I interferon (IFN) and type I IFN- and cytokine-mediated signaling pathways, while the FSS group showed upregulation of neuronal genes. IFN signaling was the top gene network positively correlated with ethanol consumption levels in the CIE and CIE + FSS groups. Results from different analyses (differential gene expression, weighted gene coexpression network analysis, and rank-rank hypergeometric overlap) indicated that activation of type I IFN signaling would be expected to increase ethanol consumption. The CIE and CIE + FSS groups also shared an immune signature in the NTS as has been demonstrated in other brain regions after chronic ethanol exposure. A temporal-based clustering analysis revealed a unique expression pattern in the CIE + FSS group that suggests the interaction of these two stressors produces adaptations in synaptic and glial functions that may drive stress-induced drinking.
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Affiliation(s)
- Emily K Grantham
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Gayatri R Tiwari
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Olga Ponomareva
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA
| | - R Adron Harris
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Marcello F Lopez
- Department of Psychiatry & Behavioral Sciences and Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Howard C Becker
- Charleston Alcohol Research Center, Medical University of South Carolina, Charleston, SC, 28425, USA; Department of Psychiatry & Behavioral Sciences and Neuroscience, Medical University of South Carolina, Charleston, SC, 29425, USA; Department of Veterans Affairs Medical Center, Charleston, SC, 20401, USA
| | - R Dayne Mayfield
- Waggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712, USA; Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA.
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23
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Harrill JA, Everett LJ, Haggard DE, Bundy JL, Willis CM, Shah I, Friedman KP, Basili D, Middleton A, Judson RS. Exploring the effects of experimental parameters and data modeling approaches on in vitro transcriptomic point-of-departure estimates. Toxicology 2024; 501:153694. [PMID: 38043774 DOI: 10.1016/j.tox.2023.153694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/24/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Multiple new approach methods (NAMs) are being developed to rapidly screen large numbers of chemicals to aid in hazard evaluation and risk assessments. High-throughput transcriptomics (HTTr) in human cell lines has been proposed as a first-tier screening approach for determining the types of bioactivity a chemical can cause (activation of specific targets vs. generalized cell stress) and for calculating transcriptional points of departure (tPODs) based on changes in gene expression. In the present study, we examine a range of computational methods to calculate tPODs from HTTr data, using six data sets in which MCF7 cells cultured in two different media formulations were treated with a panel of 44 chemicals for 3 different exposure durations (6, 12, 24 hr). The tPOD calculation methods use data at the level of individual genes and gene set signatures, and compare data processed using the ToxCast Pipeline 2 (tcplfit2), BMDExpress and PLIER (Pathway Level Information ExtractoR). Methods were evaluated by comparing to in vitro PODs from a validated set of high-throughput screening (HTS) assays for a set of estrogenic compounds. Key findings include: (1) for a given chemical and set of experimental conditions, tPODs calculated by different methods can vary by several orders of magnitude; (2) tPODs are at least as sensitive to computational methods as to experimental conditions; (3) in comparison to an external reference set of PODs, some methods give generally higher values, principally PLIER and BMDExpress; and (4) the tPODs from HTTr in this one cell type are mostly higher than the overall PODs from a broad battery of targeted in vitro ToxCast assays, reflecting the need to test chemicals in multiple cell types and readout technologies for in vitro hazard screening.
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Affiliation(s)
- Joshua A Harrill
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Logan J Everett
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Derik E Haggard
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA; Oak Ridge Institute for Science and Education (ORISE), USA
| | - Joseph L Bundy
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Clinton M Willis
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA; Oak Ridge Associated Universities (ORAU), USA
| | - Imran Shah
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Katie Paul Friedman
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Danilo Basili
- Unilever Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, UK
| | - Alistair Middleton
- Unilever Safety and Environmental Assurance Centre (SEAC), Colworth Science Park, Sharnbrook, Bedfordshire MK44 1LQ, UK
| | - Richard S Judson
- Center for Computational Toxicology and Exposure, Office of Research and Development, US Environmental Protection Agency, Research Triangle Park, NC, USA.
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24
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Benítez-Burraco A, Uriagereka J, Nataf S. The genomic landscape of mammal domestication might be orchestrated by selected transcription factors regulating brain and craniofacial development. Dev Genes Evol 2023; 233:123-135. [PMID: 37552321 PMCID: PMC10746608 DOI: 10.1007/s00427-023-00709-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 07/27/2023] [Indexed: 08/09/2023]
Abstract
Domestication transforms once wild animals into tamed animals that can be then exploited by humans. The process entails modifications in the body, cognition, and behavior that are essentially driven by differences in gene expression patterns. Although genetic and epigenetic mechanisms were shown to underlie such differences, less is known about the role exerted by trans-regulatory molecules, notably transcription factors (TFs) in domestication. In this paper, we conducted extensive in silico analyses aimed to clarify the TF landscape of mammal domestication. We first searched the literature, so as to establish a large list of genes selected with domestication in mammals. From this list, we selected genes experimentally demonstrated to exhibit TF functions. We also considered TFs displaying a statistically significant number of targets among the entire list of (domestication) selected genes. This workflow allowed us to identify 5 candidate TFs (SOX2, KLF4, MITF, NR3C1, NR3C2) that were further assessed in terms of biochemical and functional properties. We found that such TFs-of-interest related to mammal domestication are all significantly involved in the development of the brain and the craniofacial region, as well as the immune response and lipid metabolism. A ranking strategy, essentially based on a survey of protein-protein interactions datasets, allowed us to identify SOX2 as the main candidate TF involved in domestication-associated evolutionary changes. These findings should help to clarify the molecular mechanics of domestication and are of interest for future studies aimed to understand the behavioral and cognitive changes associated to domestication.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain.
- Área de Lingüística General, Departamento de Lengua Española, Lingüística y Teoría de la Literatura, Facultad de Filología, Universidad de Sevilla, C/ Palos de la Frontera s/n., 41007-, Sevilla, España.
| | - Juan Uriagereka
- Department of Linguistics and School of Languages, Literatures & Cultures, University of Maryland, College Park, MD, USA
| | - Serge Nataf
- Stem-cell and Brain Research Institute, 18 avenue de Doyen Lépine, F-69500, Bron, France
- University of Lyon 1, 43 Bd du 11 Novembre 1918, F-69100, Villeurbanne, France
- Bank of Tissues and Cells, Hospices Civils de Lyon, Hôpital Edouard Herriot, Place d'Arsonval, F-69003, Lyon, France
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25
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Sun G, Leclerc GJ, Chahar S, Barredo JC. AMPK Associates with Chromatin and Phosphorylates the TAF-1 Subunit of the Transcription Initiation Complex to Regulate Histone Gene Expression in ALL Cells. Mol Cancer Res 2023; 21:1261-1273. [PMID: 37682252 PMCID: PMC10690046 DOI: 10.1158/1541-7786.mcr-23-0502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 08/24/2023] [Accepted: 09/05/2023] [Indexed: 09/09/2023]
Abstract
The survival rates for relapsed/refractory acute lymphoblastic leukemia (ALL) remain poor. We and others have reported that ALL cells are vulnerable to conditions inducing energy/ER-stress mediated by AMP-activated protein kinase (AMPK). To identify the target genes directly regulated by AMPKα2, we performed genome-wide RNA-seq and ChIP-seq in CCRF-CEM (T-ALL) cells expressing HA-AMPKα2 (CN2) under normal and energy/metabolic stress conditions. CN2 cells show significantly altered AMPKα2 genomic binding and transcriptomic profile under metabolic stress conditions, including reduced histone gene expression. Proteomic analysis and in vitro kinase assays identified the TATA-Box-Binding Protein-Associated Factor 1 (TAF1) as a novel AMPKα2 substrate that downregulates histone gene transcription in response to energy/metabolic stress. Knockdown and knockout studies demonstrated that both AMPKα2 and TAF1 are required for histone gene expression. Mechanistically, upon activation, AMPKα2 phosphorylates TAF1 at Ser-1353 which impairs TAF1 interaction with RNA polymerase II (Pol II), leading to a compromised state of p-AMPKα2/p-TAF1/Pol II chromatin association and suppression of transcription. This mechanism was also observed in primary ALL cells and in vivo in NSG mice. Consequently, we uncovered a non-canonical function of AMPK that phosphorylates TAF1, both members of a putative chromatin-associated transcription complex that regulate histone gene expression, among others, in response to energy/metabolic stress. IMPLICATIONS Fully delineating the protein interactome by which AMPK regulates adaptive survival responses to energy/metabolic stress, either via epigenetic gene regulation or other mechanisms, will allow the rational development of strategies to overcome de novo or acquired resistance in ALL and other cancers.
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Affiliation(s)
- Guangyan Sun
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida
| | - Guy J. Leclerc
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida
| | - Sanjay Chahar
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, Florida
| | - Julio C. Barredo
- Department of Pediatrics, Biochemistry, and Molecular Biology and Medicine, University of Miami Miller School of Medicine, Miami, Florida
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Othman B, Zeef L, Szestak T, Rchiad Z, Storm J, Askonas C, Satyam R, Madkhali A, Haley M, Wagstaff S, Couper K, Pain A, Craig A. Different PfEMP1-expressing Plasmodium falciparum variants induce divergent endothelial transcriptional responses during co-culture. PLoS One 2023; 18:e0295053. [PMID: 38033133 PMCID: PMC10688957 DOI: 10.1371/journal.pone.0295053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/14/2023] [Indexed: 12/02/2023] Open
Abstract
The human malaria parasite Plasmodium falciparum is responsible for the majority of mortality and morbidity caused by malaria infection and differs from other human malaria species in the degree of accumulation of parasite-infected red blood cells in the microvasculature, known as cytoadherence or sequestration. In P. falciparum, cytoadherence is mediated by a protein called PfEMP1 which, due to its exposure to the host immune system, undergoes antigenic variation resulting in the expression of different PfEMP1 variants on the infected erythrocyte membrane. These PfEMP1s contain various combinations of adhesive domains, which allow for the differential engagement of a repertoire of endothelial receptors on the host microvasculature, with specific receptor usage associated with severe disease. We used a co-culture model of cytoadherence incubating human brain microvascular endothelial cells with erythrocytes infected with two parasite lines expressing different PfEMP1s that demonstrate different binding profiles to vascular endothelium. We determined the transcriptional profile of human brain microvascular endothelial cells (HBMEC) following different incubation periods with infected erythrocytes, identifying different transcriptional profiles of pathways previously found to be involved in the pathology of severe malaria, such as inflammation, apoptosis and barrier integrity, induced by the two PfEMP1 variants.
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Affiliation(s)
- Basim Othman
- Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Leo Zeef
- Faculty of Biology, Medicine and Health, The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, United Kingdom
| | - Tadge Szestak
- Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Zineb Rchiad
- Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology, Thuwal, KSA
| | - Janet Storm
- Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Caroline Askonas
- Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology, Thuwal, KSA
| | - Rohit Satyam
- Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology, Thuwal, KSA
| | - Aymen Madkhali
- Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Michael Haley
- Faculty of Biology, Medicine and Health, The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, United Kingdom
| | - Simon Wagstaff
- Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
| | - Kevin Couper
- Faculty of Biology, Medicine and Health, The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, United Kingdom
| | - Arnab Pain
- Pathogen Genomics Laboratory, Bioscience Program, Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology, Thuwal, KSA
| | - Alister Craig
- Tropical Disease Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, United Kingdom
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Andrade-Brito DE, Núñez-Ríos DL, Martínez-Magaña JJ, Nagamatsu ST, Rompala G, Zillich L, Witt SH, Clark SL, Latig MC, Montalvo-Ortiz JL. Neuronal-specific methylome and hydroxymethylome analysis reveal replicated and novel loci associated with alcohol use disorder. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.28.23299094. [PMID: 38105948 PMCID: PMC10725575 DOI: 10.1101/2023.11.28.23299094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Alcohol use disorder (AUD) is a complex condition associated with adverse health consequences that affect millions of individuals worldwide. Epigenetic modifications, including DNA methylation (5mC), have been associated with AUD and other alcohol-related traits. Epigenome-wide association studies (EWAS) have identified differentially methylated genes associated with AUD in human peripheral and brain tissue. More recently, epigenetic studies of AUD have also evaluated DNA hydroxymethylation (5hmC) in the human brain. However, most of the epigenetic work in postmortem brain tissue has examined bulk tissue. In this study, we investigated neuronal-specific 5mC and 5hmC alterations at CpG sites associated with AUD in the human orbitofrontal cortex (OFC). Neuronal nuclei from the OFC were evaluated in 34 human postmortem brain samples (10 AUD, 24 non-AUD). Reduced representation oxidative bisulfite sequencing was used to assess 5mC and 5hmC at the genome-wide level. Differential 5mC and 5hmC were evaluated using the methylKit R package and significance was set at false discovery rate <0.05 and differential methylation >2. Functional enrichment analyses were performed and replication was evaluated replication in an independent dataset that assessed 5mC and 5hmC of AUD in bulk cortical tissue. We identified 417 5mC and 363 5hmC genome-wide significant differential CpG sites associated with AUD, with 59% in gene promoters. We also identified genes previously implicated in alcohol consumption, such as SYK, CHRM2, DNMT3A, and GATA4, for 5mC and GATA4, and GAD1, GATA4, DLX1 for 5hmC. Replication was observed for 28 CpG sites from a previous AUD 5mC and 5hmC study, including FOXP1. Lastly, GWAS enrichment analysis showed an association with AUD for differential 5mC genes. This study reveals neuronal-specific methylome and hydroxymethylome dysregulation associated with AUD. We replicated previous findings and identified novel associations with AUD for both 5mC and 5hmC marks within the OFC. Our findings provide new insights into the epigenomic dysregulation of AUD in the human brain.
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Affiliation(s)
- Diego E. Andrade-Brito
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, USA
| | - Diana L. Núñez-Ríos
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, USA
| | - José Jaime Martínez-Magaña
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, USA
| | - Sheila T. Nagamatsu
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, USA
| | - Gregory Rompala
- Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Lea Zillich
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie H. Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Shaunna L. Clark
- Department of Psychiatry & Behavioral Sciences, Texas A&M University, College Station, Texas, USA
| | - Maria C. Latig
- Facultad de Ciencias, Universidad de los Andes, Bogotá, Colombia
| | | | - Janitza L. Montalvo-Ortiz
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- National Center of Post-Traumatic Stress Disorder, VA CT Healthcare, West Haven, CT, USA
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Toivanen K, Kilpinen S, Ojala K, Merikoski N, Salmikangas S, Sampo M, Böhling T, Sihto H. PDE3A Is a Highly Expressed Therapy Target in Myxoid Liposarcoma. Cancers (Basel) 2023; 15:5308. [PMID: 38001568 PMCID: PMC10669966 DOI: 10.3390/cancers15225308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
Liposarcomas (LPSs) are a heterogeneous group of malignancies that arise from adipose tissue. Although LPSs are among the most common soft-tissue sarcoma subtypes, precision medicine treatments are not currently available. To discover LPS-subtype-specific therapy targets, we investigated RNA sequenced transcriptomes of 131 clinical LPS tissue samples and compared the data with a transcriptome database that contained 20,218 samples from 95 healthy tissues and 106 cancerous tissue types. The identified genes were referred to the NCATS BioPlanet library with Enrichr to analyze upregulated signaling pathways. PDE3A protein expression was investigated with immunohistochemistry in 181 LPS samples, and PDE3A and SLFN12 mRNA expression with RT-qPCR were investigated in 63 LPS samples. Immunoblotting and cell viability assays were used to study LPS cell lines and their sensitivity to PDE3A modulators. We identified 97, 247, and 37 subtype-specific, highly expressed genes in dedifferentiated, myxoid, and pleomorphic LPS subtypes, respectively. Signaling pathway analysis revealed a highly activated hedgehog signaling pathway in dedifferentiated LPS, phospholipase c mediated cascade and insulin signaling in myxoid LPS, and pathways associated with cell proliferation in pleomorphic LPS. We discovered a strong association between high PDE3A expression and myxoid LPS, particularly in high-grade tumors. Moreover, myxoid LPS samples showed elevated expression levels of SLFN12 mRNA. In addition, PDE3A- and SLFN12-coexpressing LPS cell lines SA4 and GOT3 were sensitive to PDE3A modulators. Our results indicate that PDE3A modulators are promising drugs to treat myxoid LPS. Further studies are required to develop these drugs for clinical use.
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Affiliation(s)
- Kirsi Toivanen
- Department of Pathology, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland; (N.M.); (S.S.); (T.B.); (H.S.)
| | - Sami Kilpinen
- Molecular and Integrative Biosciences Research Programme, University of Helsinki, 00014 Helsinki, Finland;
| | - Kalle Ojala
- HUS Vatsakeskus, Helsinki University Hospital, PL 340, 00290 Helsinki, Finland;
| | - Nanna Merikoski
- Department of Pathology, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland; (N.M.); (S.S.); (T.B.); (H.S.)
| | - Sami Salmikangas
- Department of Pathology, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland; (N.M.); (S.S.); (T.B.); (H.S.)
| | - Mika Sampo
- Department of Pathology, HUSLAB, HUS Diagnostic Center, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland;
| | - Tom Böhling
- Department of Pathology, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland; (N.M.); (S.S.); (T.B.); (H.S.)
| | - Harri Sihto
- Department of Pathology, Helsinki University Hospital, University of Helsinki, 00014 Helsinki, Finland; (N.M.); (S.S.); (T.B.); (H.S.)
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Felten R, Ye T, Schleiss C, Schwikowski B, Sibilia J, Monneaux F, Dumortier H, Jonsson R, Lessard C, Ng F, Takeuchi T, Mariette X, Gottenberg JE. Identification of new candidate drugs for primary Sjögren's syndrome using a drug repurposing transcriptomic approach. Rheumatology (Oxford) 2023; 62:3715-3723. [PMID: 36869684 PMCID: PMC10629788 DOI: 10.1093/rheumatology/kead096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 03/05/2023] Open
Abstract
OBJECTIVES To date, no immunomodulatory drug has demonstrated its efficacy in primary SS (pSS). We sought to analyse potential commonalities between pSS transcriptomic signatures and signatures of various drugs or specific knock-in or knock-down genes. METHODS Gene expression from peripheral blood samples of patients with pSS was compared with that of healthy controls in two cohorts and three public databases. In each of the five datasets, we analysed the 150 most up- and downregulated genes between pSS patients and controls with regard to the differentially expressed genes resulting from the biological action on nine cell lines of 2837 drugs, 2160 knock-in and 3799 knock-down genes in the Connectivity Map database. RESULTS We analysed 1008 peripheral blood transcriptomes from five independent studies (868 patients with pSS and 140 healthy controls). Eleven drugs could represent potential candidate drugs, with histone deacetylases and PI3K inhibitors among the most significantly associated. Twelve knock-in genes were associated with a pSS-like profile and 23 knock-down genes were associated with a pSS-revert profile. Most of those genes (28/35, 80%) were interferon-regulated. CONCLUSION This first drug repositioning transcriptomic approach in SS confirms the interest of targeting interferons and identifies histone deacetylases and PI3K inhibitors as potential therapeutic targets.
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Affiliation(s)
- Renaud Felten
- Service de Rhumatologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Laboratoire d’Immunologie, Immunopathologie et Chimie Thérapeutique, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572, Strasbourg, France
- RESO, Centre de Référence des Maladies Autoimmunes Systémiques Rares Est Sud-Ouest, Strasbourg, France
| | - Tao Ye
- IGBMC, CNRS UMR7104, Inserm U1258, Université de Strasbourg, Illkirch, France
| | - Cedric Schleiss
- Laboratoire d’Immunologie, Immunopathologie et Chimie Thérapeutique, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572, Strasbourg, France
| | - Benno Schwikowski
- Computational Systems Biomedicine Lab, Institut Pasteur, Paris, France
| | - Jean Sibilia
- Service de Rhumatologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- RESO, Centre de Référence des Maladies Autoimmunes Systémiques Rares Est Sud-Ouest, Strasbourg, France
- Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Université de Strasbourg, Strasbourg, France
| | - Fanny Monneaux
- Laboratoire d’Immunologie, Immunopathologie et Chimie Thérapeutique, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572, Strasbourg, France
| | - Hélène Dumortier
- Laboratoire d’Immunologie, Immunopathologie et Chimie Thérapeutique, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572, Strasbourg, France
| | - Roland Jonsson
- Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Christopher Lessard
- Department of Pathology, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Fai Ng
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Tsutomu Takeuchi
- Division of Rheumatology and Clinical Immunology, Keio University, Tokyo, Japan
| | - Xavier Mariette
- Service de Rhumatologie, Hôpital Bicètre, APHP, Université Paris-Saclay, Paris, France
| | - Jacques-Eric Gottenberg
- Service de Rhumatologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Laboratoire d’Immunologie, Immunopathologie et Chimie Thérapeutique, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572, Strasbourg, France
- RESO, Centre de Référence des Maladies Autoimmunes Systémiques Rares Est Sud-Ouest, Strasbourg, France
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Bernard JK, Bucar EB, Liu CY, Katada K, Washington MK, Schumacher MA, Frey MR. Deletion of Endogenous Neuregulin-4 Limits Adaptive Immunity During Interleukin-10 Receptor-Neutralizing Colitis. Inflamm Bowel Dis 2023; 29:1778-1792. [PMID: 37265326 PMCID: PMC10628918 DOI: 10.1093/ibd/izad092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Indexed: 06/03/2023]
Abstract
BACKGROUND Growth factors are essential for maintenance of intestinal health. We previously showed that exogenous neuregulin-4 (NRG4) promotes colonocyte survival during cytokine challenge and is protective against acute models of intestinal inflammation. However, the function(s) of endogenous NRG4 are not well understood. Using NRG4-/- mice, we tested the role of endogenous NRG4 in models of colitis skewed toward either adaptive (interleukin-10 receptor [IL-10R] neutralization) or innate (dextran sulfate sodium [DSS]) immune responses. METHODS NRG4-/- and wild-type cage mate mice were subjected to chronic IL-10R neutralization colitis and acute DSS colitis. Disease was assessed by histological examination, inflammatory cytokine levels, fecal lipocalin-2 levels, and single cell mass cytometry immune cell profiling. Homeostatic gene alterations were evaluated by RNA sequencing analysis from colonic homogenates, with real-time quantitative polymerase chain reaction confirmation in both tissue and isolated epithelium. RESULTS During IL-10R neutralization colitis, NRG4-/- mice had reduced colonic inflammatory cytokine expression, histological damage, and colonic CD8+ T cell numbers vs wild-type cage mates. Conversely, in DSS colitis, NRG4-/- mice had elevated cytokine expression, fecal lipocalin-2 levels, and impaired weight recovery. RNA sequencing showed a loss of St3gal4, a sialyltransferase involved in immune cell trafficking, in NRG4-null colons, which was verified in both tissue and isolated epithelium. The regulation of St3gal4 by NRG4 was confirmed with ex vivo epithelial colon organoid cultures from NRG4-/- mice and by induction of St3gal4 in vivo following NRG4 treatment. CONCLUSIONS NRG4 regulates colonic epithelial ST3GAL4 and thus may allow for robust recruitment of CD8+ T cells during adaptive immune responses in colitis. On the other hand, NRG4 loss exacerbates injury driven by innate immune responses.
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Affiliation(s)
- Jessica K Bernard
- Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
- Craniofacial Biology Program, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Edie B Bucar
- Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
| | - Cambrian Y Liu
- Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Kay Katada
- Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
| | - Mary K Washington
- Department of Pathology, Microbiology, and Immunology, Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael A Schumacher
- Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mark R Frey
- Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, USA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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31
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Hasib RA, Ali MC, Rahman MH, Ahmed S, Sultana S, Summa SZ, Shimu MSS, Afrin Z, Jamal MAHM. Integrated gene expression profiling and functional enrichment analyses to discover biomarkers and pathways associated with Guillain-Barré syndrome and autism spectrum disorder to identify new therapeutic targets. J Biomol Struct Dyn 2023:1-23. [PMID: 37776011 DOI: 10.1080/07391102.2023.2262586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 09/17/2023] [Indexed: 10/01/2023]
Abstract
Guillain-Barré syndrome (GBS) is one of the most prominent and acute immune-mediated peripheral neuropathy, while autism spectrum disorders (ASD) are a group of heterogeneous neurodevelopmental disorders. The complete mechanism regarding the neuropathophysiology of these disorders is still ambiguous. Even after recent breakthroughs in molecular biology, the link between GBS and ASD remains a mystery. Therefore, we have implemented well-established bioinformatic techniques to identify potential biomarkers and drug candidates for GBS and ASD. 17 common differentially expressed genes (DEGs) were identified for these two disorders, which later guided the rest of the research. Common genes identified the protein-protein interaction (PPI) network and pathways associated with both disorders. Based on the PPI network, the constructed hub gene and module analysis network determined two common DEGs, namely CXCL9 and CXCL10, which are vital in predicting the top drug candidates. Furthermore, coregulatory networks of TF-gene and TF-miRNA were built to detect the regulatory biomolecules. Among drug candidates, imatinib had the highest docking and MM-GBSA score with the well-known chemokine receptor CXCR3 and remained stable during the 100 ns molecular dynamics simulation validated by the principal component analysis and the dynamic cross-correlation map. This study predicted the gene-based disease network for GBS and ASD and suggested prospective drug candidates. However, more in-depth research is required for clinical validation.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rizone Al Hasib
- Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh
- Laboratory of Medical and Environmental Biotechnology Islamic University, Kushtia, Bangladesh
| | - Md Chayan Ali
- Department of Biochemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Md Habibur Rahman
- Department of Computer Science and Engineering, Islamic University, Kushtia, Bangladesh
- Center for Advanced Bioinformatics and Artificial Intelligent Research, Islamic University, Kushtia, Bangladesh
| | - Sabbir Ahmed
- Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh
| | - Shaharin Sultana
- Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh
- Laboratory of Medical and Environmental Biotechnology Islamic University, Kushtia, Bangladesh
| | - Sadia Zannat Summa
- Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh
- Laboratory of Medical and Environmental Biotechnology Islamic University, Kushtia, Bangladesh
| | | | - Zinia Afrin
- Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh
| | - Mohammad Abu Hena Mostofa Jamal
- Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia, Bangladesh
- Laboratory of Medical and Environmental Biotechnology Islamic University, Kushtia, Bangladesh
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32
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Dou Y, Katsnelson L, Gritsenko MA, Hu Y, Reva B, Hong R, Wang YT, Kolodziejczak I, Lu RJH, Tsai CF, Bu W, Liu W, Guo X, An E, Arend RC, Bavarva J, Chen L, Chu RK, Czekański A, Davoli T, Demicco EG, DeLair D, Devereaux K, Dhanasekaran SM, Dottino P, Dover B, Fillmore TL, Foxall M, Hermann CE, Hiltke T, Hostetter G, Jędryka M, Jewell SD, Johnson I, Kahn AG, Ku AT, Kumar-Sinha C, Kurzawa P, Lazar AJ, Lazcano R, Lei JT, Li Y, Liao Y, Lih TSM, Lin TT, Martignetti JA, Masand RP, Matkowski R, McKerrow W, Mesri M, Monroe ME, Moon J, Moore RJ, Nestor MD, Newton C, Omelchenko T, Omenn GS, Payne SH, Petyuk VA, Robles AI, Rodriguez H, Ruggles KV, Rykunov D, Savage SR, Schepmoes AA, Shi T, Shi Z, Tan J, Taylor M, Thiagarajan M, Wang JM, Weitz KK, Wen B, Williams CM, Wu Y, Wyczalkowski MA, Yi X, Zhang X, Zhao R, Mutch D, Chinnaiyan AM, Smith RD, Nesvizhskii AI, Wang P, Wiznerowicz M, Ding L, Mani DR, Zhang H, Anderson ML, Rodland KD, Zhang B, Liu T, Fenyö D. Proteogenomic insights suggest druggable pathways in endometrial carcinoma. Cancer Cell 2023; 41:1586-1605.e15. [PMID: 37567170 PMCID: PMC10631452 DOI: 10.1016/j.ccell.2023.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 03/25/2023] [Accepted: 07/18/2023] [Indexed: 08/13/2023]
Abstract
We characterized a prospective endometrial carcinoma (EC) cohort containing 138 tumors and 20 enriched normal tissues using 10 different omics platforms. Targeted quantitation of two peptides can predict antigen processing and presentation machinery activity, and may inform patient selection for immunotherapy. Association analysis between MYC activity and metformin treatment in both patients and cell lines suggests a potential role for metformin treatment in non-diabetic patients with elevated MYC activity. PIK3R1 in-frame indels are associated with elevated AKT phosphorylation and increased sensitivity to AKT inhibitors. CTNNB1 hotspot mutations are concentrated near phosphorylation sites mediating pS45-induced degradation of β-catenin, which may render Wnt-FZD antagonists ineffective. Deep learning accurately predicts EC subtypes and mutations from histopathology images, which may be useful for rapid diagnosis. Overall, this study identified molecular and imaging markers that can be further investigated to guide patient stratification for more precise treatment of EC.
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Affiliation(s)
- Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Lizabeth Katsnelson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Marina A Gritsenko
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Yingwei Hu
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Boris Reva
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Runyu Hong
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Yi-Ting Wang
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Iga Kolodziejczak
- International Institute for Molecular Oncology, 20-203 Poznań, Poland; Postgraduate School of Molecular Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Rita Jui-Hsien Lu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Chia-Feng Tsai
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Wen Bu
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Wenke Liu
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Xiaofang Guo
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, FL 33606, USA
| | - Eunkyung An
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Rebecca C Arend
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Jasmin Bavarva
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Lijun Chen
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Rosalie K Chu
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Andrzej Czekański
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Teresa Davoli
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Elizabeth G Demicco
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 1X5, Canada
| | - Deborah DeLair
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Kelly Devereaux
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Saravana M Dhanasekaran
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter Dottino
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Bailee Dover
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Thomas L Fillmore
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - McKenzie Foxall
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Catherine E Hermann
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Tara Hiltke
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | | | - Marcin Jędryka
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Scott D Jewell
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - Isabelle Johnson
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Andrea G Kahn
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35249, USA
| | - Amy T Ku
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Chandan Kumar-Sinha
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Paweł Kurzawa
- Heliodor Swiecicki Clinical Hospital in Poznan ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Alexander J Lazar
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Rossana Lazcano
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jonathan T Lei
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yi Li
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yuxing Liao
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Tung-Shing M Lih
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Tai-Tu Lin
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - John A Martignetti
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ramya P Masand
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Rafał Matkowski
- Wroclaw Medical University and Lower Silesian Oncology, Pulmonology and Hematology Center (DCOPIH), Wrocław, Poland
| | - Wilson McKerrow
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mehdi Mesri
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Jamie Moon
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Michael D Nestor
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Chelsea Newton
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | | | - Gilbert S Omenn
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI 48109, USA; School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Vladislav A Petyuk
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Kelly V Ruggles
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Division of Precision Medicine, Department of Medicine, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Dmitry Rykunov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Sara R Savage
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Athena A Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Tujin Shi
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Zhiao Shi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Jimin Tan
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Mason Taylor
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - Mathangi Thiagarajan
- Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA
| | - Joshua M Wang
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Karl K Weitz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Bo Wen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - C M Williams
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Yige Wu
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Matthew A Wyczalkowski
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Xu Zhang
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Rui Zhao
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - David Mutch
- Washington University School of Medicine, Saint Louis, MO 63110, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
| | - Alexey I Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Heliodor Swiecicki Clinical Hospital in Poznan ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Li Ding
- Department of Medicine and Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Hui Zhang
- Department of Pathology and Oncology, Johns Hopkins University, Baltimore, MD 21231, USA
| | - Matthew L Anderson
- Division of Gynecologic Oncology, University of South Florida Morsani College of Medicine and Tampa General Hospital Cancer Institute, Tampa, FL 33606, USA.
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA.
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX 77030, USA; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Tao Liu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA.
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA.
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Barrozo ER, Seferovic MD, Castro ECC, Major AM, Moorshead DN, Jochum MD, Rojas RF, Shope CD, Aagaard KM. SARS-CoV-2 niches in human placenta revealed by spatial transcriptomics. MED 2023; 4:612-634.e4. [PMID: 37423216 PMCID: PMC10527005 DOI: 10.1016/j.medj.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 04/21/2023] [Accepted: 06/07/2023] [Indexed: 07/11/2023]
Abstract
BACKGROUND Functional placental niches are presumed to spatially separate maternal-fetal antigens and restrict the vertical transmission of pathogens. We hypothesized a high-resolution map of placental transcription could provide direct evidence for niche microenvironments with unique functions and transcription profiles. METHODS We utilized Visium Spatial Transcriptomics paired with H&E staining to generate 17,927 spatial transcriptomes. By integrating these spatial transcriptomes with 273,944 placental single-cell and single-nuclei transcriptomes, we generated an atlas composed of at least 22 subpopulations in the maternal decidua, fetal chorionic villi, and chorioamniotic membranes. FINDINGS Comparisons of placentae from uninfected healthy controls (n = 4) with COVID-19 asymptomatic (n = 4) and symptomatic (n = 5) infected participants demonstrated that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detection in syncytiotrophoblasts occurred in both the presence and the absence of maternal clinical disease. With spatial transcriptomics, we found that the limit of detection for SARS-CoV-2 was 1/7,000 cells, and placental niches without detectable viral transcripts were unperturbed. In contrast, niches with high SARS-CoV-2 transcript levels were associated with significant upregulation in pro-inflammatory cytokines and interferon-stimulated genes, altered metallopeptidase signaling (TIMP1), with coordinated shifts in macrophage polarization, histiocytic intervillositis, and perivillous fibrin deposition. Fetal sex differences in gene expression responses to SARS-CoV-2 were limited, with confirmed mapping limited to the maternal decidua in males. CONCLUSIONS High-resolution placental transcriptomics with spatial resolution revealed dynamic responses to SARS-CoV-2 in coordinate microenvironments in the absence and presence of clinically evident disease. FUNDING This work was supported by the NIH (R01HD091731 and T32-HD098069), NSF (2208903), the Burroughs Welcome Fund and the March of Dimes Preterm Birth Research Initiatives, and a Career Development Award from the American Society of Gene and Cell Therapy.
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Affiliation(s)
- Enrico R Barrozo
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Maxim D Seferovic
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Eumenia C C Castro
- Department of Pathology and Immunology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Angela M Major
- Department of Pathology and Immunology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - David N Moorshead
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA; Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA; Immunology and Microbiology Graduate Program, Baylor College of Medicine, Houston, TX, USA
| | - Michael D Jochum
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Ricardo Ferral Rojas
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Cynthia D Shope
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Kjersti M Aagaard
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
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Yang J, Jiang T, Xu G, Wang S, Liu W. Exploring molecular mechanisms underlying the pathophysiological association between knee osteoarthritis and sarcopenia. Osteoporos Sarcopenia 2023; 9:99-111. [PMID: 37941536 PMCID: PMC10627980 DOI: 10.1016/j.afos.2023.08.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 08/25/2023] [Accepted: 08/31/2023] [Indexed: 11/10/2023] Open
Abstract
Objectives Accumulating evidence indicates a strong link between knee osteoarthritis (KOA) and sarcopenia. However, the mechanisms involved have not yet been elucidated. This study primarily aims to explore the molecular mechanisms that explain the connection between these 2 disorders. Methods The gene expression profiles for KOA and sarcopenia were obtained from the Gene Expression Omnibus database, specifically from GSE55235, GSE169077, and GSE1408. Various bioinformatics techniques were employed to identify and analyze common differentially expressed genes (DEGs) across the 3 datasets. The techniques involved the analysis of Gene Ontology and pathways to enhance understanding, examining protein-protein interaction (PPI) networks, and identifying hub genes. In addition, we constructed the network of interactions between transcription factors (TFs) and genes, the co-regulatory network of TFs and miRNAs for hub genes, and predicted potential drugs. Results In total, 14 common DEGs were found between KOA and sarcopenia. Detailed information on biological processes and signaling pathways of common DEGs was obtained through enrichment analysis. After performing PPI network analysis, we discovered 4 hub genes (FOXO3, BCL6, CDKN1A, and CEBPB). Subsequently, we developed coregulatory networks for these hub genes involving TF-gene and TF-miRNA interactions. Finally, we identified 10 potential chemical compounds. Conclusions By conducting bioinformatics analysis, our study has successfully identified common gene interaction networks between KOA and sarcopenia. The potential of these findings to offer revolutionary understanding into the common development of these 2 conditions could lead to the identification of valuable targets for therapy.
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Affiliation(s)
- Jiyong Yang
- The Fifth Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tao Jiang
- Department of Orthopedics, Guangdong Second Traditional Chinese Medicine Hospital, Guangzhou, China
| | - Guangming Xu
- Department of Orthopedics, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China
| | - Shuai Wang
- The Fifth Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wengang Liu
- Department of Orthopedics, Guangdong Second Traditional Chinese Medicine Hospital, Guangzhou, China
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Miranda J, Vázquez-Blomquist D, Bringas R, Fernandez-de-Cossio J, Palenzuela D, Novoa LI, Bello-Rivero I. A co-formulation of interferons alpha2b and gamma distinctively targets cell cycle in the glioblastoma-derived cell line U-87MG. BMC Cancer 2023; 23:806. [PMID: 37644431 PMCID: PMC10463508 DOI: 10.1186/s12885-023-11330-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 08/23/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND HeberFERON is a co-formulation of α2b and γ interferons, based on their synergism, which has shown its clinical superiority over individual interferons in basal cell carcinomas. In glioblastoma (GBM), HeberFERON has displayed promising preclinical and clinical results. This led us to design a microarray experiment aimed at identifying the molecular mechanisms involved in the distinctive effect of HeberFERON compared to the individual interferons in U-87MG model. METHODS Transcriptional expression profiling including a control (untreated) and three groups receiving α2b-interferon, γ-interferon and HeberFERON was performed using an Illumina HT-12 microarray platform. Unsupervised methods for gene and sample grouping, identification of differentially expressed genes, functional enrichment and network analysis computational biology methods were applied to identify distinctive transcription patterns of HeberFERON. Validation of most representative genes was performed by qPCR. For the cell cycle analysis of cells treated with HeberFERON for 24 h, 48 and 72 h we used flow cytometry. RESULTS The three treatments show different behavior based on the gene expression profiles. The enrichment analysis identified several mitotic cell cycle related events, in particular from prometaphase to anaphase, which are exclusively targeted by HeberFERON. The FOXM1 transcription factor network that is involved in several cell cycle phases and is highly expressed in GBMs, is significantly down regulated. Flow cytometry experiments corroborated the action of HeberFERON on the cell cycle in a dose and time dependent manner with a clear cellular arrest as of 24 h post-treatment. Despite the fact that p53 was not down-regulated, several genes involved in its regulatory activity were functionally enriched. Network analysis also revealed a strong relationship of p53 with genes targeted by HeberFERON. We propose a mechanistic model to explain this distinctive action, based on the simultaneous activation of PKR and ATF3, p53 phosphorylation changes, as well as its reduced MDM2 mediated ubiquitination and export from the nucleus to the cytoplasm. PLK1, AURKB, BIRC5 and CCNB1 genes, all regulated by FOXM1, also play central roles in this model. These and other interactions could explain a G2/M arrest and the effect of HeberFERON on the proliferation of U-87MG. CONCLUSIONS We proposed molecular mechanisms underlying the distinctive behavior of HeberFERON compared to the treatments with the individual interferons in U-87MG model, where cell cycle related events were highly relevant.
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Affiliation(s)
- Jamilet Miranda
- Bioinformatics Group, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba.
| | - Dania Vázquez-Blomquist
- Pharmacogenomics Group, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba.
| | - Ricardo Bringas
- Bioinformatics Group, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | | | - Daniel Palenzuela
- Pharmacogenomics Group, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Lidia I Novoa
- Pharmacogenomics Group, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
| | - Iraldo Bello-Rivero
- Clinical Assays Division, Center for Genetic Engineering and Biotechnology (CIGB), Havana, Cuba
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Fader KA, Gosink MM, Xia S, Lanz TA, Halsey C, Vaidya VS, Radi ZA. Thymic lymphoma detection in RORγ knockout mice using 5-hydroxymethylcytosine profiling of circulating cell-free DNA. Toxicol Appl Pharmacol 2023; 473:116582. [PMID: 37295732 DOI: 10.1016/j.taap.2023.116582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 06/04/2023] [Indexed: 06/12/2023]
Abstract
A high incidence of thymic lymphoma has been noted in mice deficient of retinoid-related orphan receptor γ2 (RORγ2), which is required for differentiation of naïve CD4+ T cells into TH17 cells. Using a RORγ homozygous knockout (KO) mouse model of thymic lymphoma, we characterized this tumor progression and investigated the utility of 5-hydroxymethylcytosine (5hmC) signatures as a non-invasive circulating biomarker for early prediction of malignancy. No evidence for malignancy was noted in the wild-type mice, while primary thymic lymphoma with multi-organ metastasis was observed microscopically in 97% of the homozygous RORγ KO mice. The severity of thymic lymphoma was not age-dependent in the KO mice of 2 to 4 months old. Differential enrichment of 5hmC in thymic DNA and plasma cell-free DNA (cfDNA) was compared across different stages of tumor progression. Random forest modeling of plasma cfDNA achieved good predictivity (AUC = 0.74) in distinguishing early non-metastatic thymic lymphoma compared to cancer-free controls, while perfect predictivity was achieved with advanced multi-organ metastatic disease (AUC = 1.00). Lymphoid-specific genes involved in thymocyte selection during T cell development (Themis, Tox) were differentially enriched in both plasma and thymic tissue. This could help in differentiating thymic lymphoma from other tumors commonly detected in rodent carcinogenicity studies used in pharmaceutical drug development to inform human malignancy risk. Overall, these results provide a proof-of-concept for using circulating cfDNA profiles in rodent carcinogenicity studies for early risk assessment of novel pharmaceutical targets.
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Affiliation(s)
- Kelly A Fader
- Pfizer Worldwide Research, Development and Medical; Early Clinical Development; Groton, CT, USA.
| | - Mark M Gosink
- Boehringer Ingelheim Pharmaceuticals, Inc.; Ridgefield, CT, USA
| | - Shuhua Xia
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Groton, CT, USA
| | - Thomas A Lanz
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Groton, CT, USA
| | - Charles Halsey
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Groton, CT, USA
| | - Vishal S Vaidya
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Cambridge, MA, USA
| | - Zaher A Radi
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Cambridge, MA, USA
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Piechota M, Hoinkis D, Korostynski M, Golda S, Pera J, Dziedzic T. Gene expression profiling in whole blood stimulated ex vivo with lipopolysaccharide as a tool to predict post-stroke depressive symptoms: Proof-of-concept study. J Neurochem 2023; 166:623-632. [PMID: 37358014 DOI: 10.1111/jnc.15902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 06/06/2023] [Accepted: 06/07/2023] [Indexed: 06/27/2023]
Abstract
Prediction of post-stroke depressive symptoms (DSs) is challenging in patients without a history of depression. Gene expression profiling in blood cells may facilitate the search for biomarkers. The use of an ex vivo stimulus to the blood helps to reveal differences in gene profiles by reducing variation in gene expression. We conducted a proof-of-concept study to determine the usefulness of gene expression profiling in lipopolysaccharide (LPS)-stimulated blood for predicting post-stroke DS. Out of 262 enrolled patients with ischemic stroke, we included 96 patients without a pre-stroke history of depression and not taking any anti-depressive medication before or during the first 3 months after stroke. We assessed DS at 3 months after stroke using the Patient Health Questionnaire-9. We used RNA sequencing to determine the gene expression profile in LPS-stimulated blood samples taken on day 3 after stroke. We constructed a risk prediction model using a principal component analysis combined with logistic regression. We diagnosed post-stroke DS in 17.7% of patients. Expression of 510 genes differed between patients with and without DS. A model containing 6 genes (PKM, PRRC2C, NUP188, CHMP3, H2AC8, NOP10) displayed very good discriminatory properties (area under the curve: 0.95) with the sensitivity of 0.94 and specificity of 0.85. Our results suggest the potential utility of gene expression profiling in whole blood stimulated with LPS for predicting post-stroke DS. This method could be useful for searching biomarkers of post-stroke depression.
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Affiliation(s)
- Marcin Piechota
- Laboratory of Pharmacogenomics, Department of Molecular Neuropharmacology, Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | | | - Michal Korostynski
- Laboratory of Pharmacogenomics, Department of Molecular Neuropharmacology, Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Slawomir Golda
- Laboratory of Pharmacogenomics, Department of Molecular Neuropharmacology, Maj Institute of Pharmacology, Polish Academy of Sciences, Krakow, Poland
| | - Joanna Pera
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
| | - Tomasz Dziedzic
- Department of Neurology, Jagiellonian University Medical College, Krakow, Poland
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Pipitone RM, Malvestiti F, Pennisi G, Jamialahmadi O, Dongiovanni P, Bertolazzi G, Pihlajamäki J, Yki-Järvinen H, Vespasiani-Gentilucci U, Tavaglione F, Maurotti S, Bianco C, Di Maria G, Enea M, Fracanzani AL, Kärjä V, Lupo G, Männistö V, Meroni M, Piciotti R, Qadri S, Zito R, Craxì A, Di Marco V, Cammà C, Tripodo C, Valenti L, Romeo S, Petta S, Grimaudo S. Programmed cell death 1 genetic variant and liver damage in nonalcoholic fatty liver disease. Liver Int 2023; 43:1761-1771. [PMID: 37088979 DOI: 10.1111/liv.15586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/08/2023] [Accepted: 04/04/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND AND AIMS Programmed cell death 1/programmed cell death-ligand 1 (PD-1/PDL-1) axis has been reported to modulate liver inflammation and progression to hepatocellular carcinoma (HCC) in patients with nonalcoholic fatty liver disease (NAFLD). Here, we examined whether the PDCD1 variation is associated with NAFLD severity in individuals with liver biopsy. METHODS We examined the impact of PDCD1 gene variants on HCC, as robust severe liver disease phenotype in UK Biobank participants. The strongest genetic association with the rs13023138 G>C variation was subsequently tested for association with liver damage in 2889 individuals who underwent liver biopsy for suspected nonalcoholic steatohepatitis (NASH). Hepatic transcriptome was examined by RNA-Seq in a subset of NAFLD individuals (n = 121). Transcriptomic and deconvolution analyses were performed to identify biological pathways modulated by the risk allele. RESULTS The rs13023138 C>G showed the most robust association with HCC in UK Biobank (p = 5.28E-4, OR = 1.32, 95% CI [1.1, 1.5]). In the liver biopsy cohort, rs13023138 G allele was independently associated with severe steatosis (OR 1.17, 95% CI 1.02-1.34; p = .01), NASH (OR 1.22, 95% CI 1.09-1.37; p < .001) and advanced fibrosis (OR 1.26, 95% CI 1.06-1.50; p = .007). At deconvolution analysis, rs13023138 G>C allele was linked to higher hepatic representation of M1 macrophages, paralleled by upregulation of pathways related to inflammation and higher expression of CXCR6. CONCLUSIONS The PDCD1 rs13023138 G allele was associated with HCC development in the general population and with liver disease severity in patients at high risk of NASH.
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Affiliation(s)
- Rosaria M Pipitone
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Francesco Malvestiti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Grazia Pennisi
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Paola Dongiovanni
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giorgio Bertolazzi
- Tumor Immunology Unit, University of Palermo School of Medicine, Palermo, Italy
| | - Jussi Pihlajamäki
- Department of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Hannele Yki-Järvinen
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Umberto Vespasiani-Gentilucci
- Clinical Medicine and Hepatology Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
| | - Federica Tavaglione
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Clinical Medicine and Hepatology Unit, Department of Internal Medicine and Geriatrics, Campus Bio-Medico University, Rome, Italy
| | - Samantha Maurotti
- Nutrition Unit, Department of Medical and Surgical Sciences, Magna Graecia University Catanzaro, Catanzaro, Italy
| | - Cristiana Bianco
- Precision Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Cà Granda Pad Marangoni, Milan, Italy
| | - Gabriele Di Maria
- Precision Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Cà Granda Pad Marangoni, Milan, Italy
| | - Marco Enea
- Department of Health Promotion Sciences Maternal and Infant Care, Internal Medicine and Medical Specialties, PROMISE, University of Palermo, Palermo, Italy
| | - Anna L Fracanzani
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Vesa Kärjä
- Department of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Giulia Lupo
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Ville Männistö
- Department of Clinical Nutrition, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Marica Meroni
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Roberto Piciotti
- General Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Sami Qadri
- Department of Medicine, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland
| | - Rossella Zito
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Antonio Craxì
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Vito Di Marco
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Calogero Cammà
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Claudio Tripodo
- Tumor Immunology Unit, University of Palermo School of Medicine, Palermo, Italy
| | - Luca Valenti
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- Precision Medicine, Department of Transfusion Medicine and Hematology, Fondazione IRCCS Cà Granda Pad Marangoni, Milan, Italy
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Nutrition Unit, Department of Medical and Surgical Sciences, Magna Graecia University Catanzaro, Catanzaro, Italy
- Cardiology Department, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Salvatore Petta
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Stefania Grimaudo
- Sezione di Gastroenterologia e Epatologia, Dipartimento di Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza "G. D'Alessandro", University of Palermo, Palermo, Italy
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Park M, Kim D, Kim I, Im SH, Kim S. Drug approval prediction based on the discrepancy in gene perturbation effects between cells and humans. EBioMedicine 2023; 94:104705. [PMID: 37453362 PMCID: PMC10366401 DOI: 10.1016/j.ebiom.2023.104705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 06/15/2023] [Accepted: 06/27/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Poor translation between in vitro and clinical studies due to the cells/humans discrepancy in drug target perturbation effects leads to safety failures in clinical trials, thus increasing drug development costs and reducing patients' life quality. Therefore, developing a predictive model for drug approval considering the cells/humans discrepancy is needed to reduce drug attrition rates in clinical trials. METHODS Our machine learning framework predicts drug approval in clinical trials based on the cells/humans discrepancy in drug target perturbation effects. To evaluate the discrepancy to predict drug approval (1404 approved and 1070 unapproved drugs), we analysed CRISPR-Cas9 knockout and loss-of-function mutation rate-based gene perturbation effects on cells and humans, respectively. To validate the risk of drug targets with the cells/humans discrepancy, we examined the targets of failed and withdrawn drugs due to safety problems. FINDINGS Drug approvals in clinical trials were correlated with the cells/humans discrepancy in gene perturbation effects. Genes tolerant to perturbation effects on cells but intolerant to those on humans were associated with failed drug targets. Furthermore, genes with the cells/humans discrepancy were related to drugs withdrawn due to severe side effects. Motivated by previous studies assessing drug safety through chemical properties, we improved drug approval prediction by integrating chemical information with the cells/humans discrepancy. INTERPRETATION The cells/humans discrepancy in gene perturbation effects facilitates drug approval prediction and explains drug safety failures in clinical trials. FUNDING S.K. received grants from the Korean National Research Foundation (2021R1A2B5B01001903 and 2020R1A6A1A03047902) and IITP (2019-0-01906, Artificial Intelligence Graduate School Program, POSTECH).
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Affiliation(s)
- Minhyuk Park
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, South Korea
| | - Donghyo Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, South Korea
| | - Inhae Kim
- ImmunoBiome Inc., Pohang, South Korea
| | - Sin-Hyeog Im
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, South Korea; ImmunoBiome Inc., Pohang, South Korea
| | - Sanguk Kim
- Department of Life Sciences, Pohang University of Science and Technology, Pohang, South Korea.
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Scott HM, Smith MH, Coleman AK, Apostalo SL, Wagner AR, Watson RO, Patrick KL. Serine arginine-rich splicing factor (SRSF7) cooperates with the histone methyltransferase KMT5a to promote the type I interferon response via transcriptional activation of IRF7. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.09.540055. [PMID: 37503164 PMCID: PMC10369877 DOI: 10.1101/2023.05.09.540055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Tight regulation of macrophage immune gene expression is required to fight infection without risking harmful inflammation. The contribution of RNA binding proteins (RBPs) to shaping the macrophage response to pathogens remains poorly understood. Transcriptomic analysis revealed that a member of the serine/arginine-rich (SR) family of mRNA processing factors, SRSF7, is required for optimal expression of a cohort of interferon stimulated genes (ISGs) in macrophages. Using genetic and biochemical assays, we discovered that in addition to its canonical role in regulating alternative splicing, SRSF7 drives transcription of interferon regulatory transcription factor 7 (IRF7) to promote antiviral immunity. At the Irf7 promoter, SRSF7 maximizes STAT1 transcription factor binding and RNA polymerase II elongation via cooperation with the H4K20me1 histone methyltransferase KMT5a (SET8). These studies define an unorthodox role for an SR protein in activating transcription and reveal an unappreciated RNA binding protein-chromatin network that orchestrates macrophage antiviral gene expression.
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Wu SC, Lai SW, Lu XJ, Lai HF, Chen YG, Chen PH, Ho CL, Wu YY, Chiu YL. Profiling of miRNAs and their interfering targets in peripheral blood mononuclear cells from patients with chronic myeloid leukaemia. Front Oncol 2023; 13:1173970. [PMID: 37476380 PMCID: PMC10356106 DOI: 10.3389/fonc.2023.1173970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 06/16/2023] [Indexed: 07/22/2023] Open
Abstract
Introduction MicroRNAs may be implicated in the acquisition of drug resistance in chronic myeloid leukemia as they regulate the expression of not only BCR-ABL1 but also genes associated with the activation of drug transfer proteins or essential signaling pathways. Methods To understand the impact of specifically expressed miRNAs in chronic myeloid leukemia and their target genes, we collected peripheral blood mononuclear cells (PBMC) from patients diagnosed with chronic myeloid leukemia (CML) and healthy donors to determine whole miRNA expression by small RNA sequencing and screened out 31 differentially expressed microRNAs (DE-miRNAs) with high expression. With the utilization of miRNA set enrichment analysis tools, we present here a comprehensive analysis of the relevance of DE-miRNAs to disease and biological function. Furthermore, the literature-based miRNA-target gene database was used to analyze the overall target genes of the DE-miRNAs and to define their associated biological responses. We further integrated DE-miRNA target genes to identify CML miRNA targeted gene signature singscore (CMTGSS) and used gene-set enrichment analysis (GSEA) to analyze the correlation between CMTGSS and Hallmark gene-sets in PBMC samples from clinical CML patients. Finally, the association of CMTGSS stratification with multiple CML cell lineage gene sets was validated in PBMC samples from CML patients using GSEA. Results Although individual miRNAs have been reported to have varying degrees of impact on CML, overall, our results show that abnormally upregulated miRNAs are associated with apoptosis and aberrantly downregulated miRNAs are associated with cell cycle. The clinical database shows that our defined DE-miRNAs are associated with the prognosis of CML patients. CMTGSS-based stratification analysis presented a tendency for miRNAs to affect cell differentiation in the blood microenvironment. Conclusion Collectively, this study defined differentially expressed miRNAs by miRNA sequencing from clinical samples and comprehensively analyzed the biological functions of the differential miRNAs in association with the target genes. The analysis of the enrichment of specific myeloid differentiated cells and immune cells also suggests the magnitude and potential targets of differentially expressed miRNAs in the clinical setting. It helps us to make links between the different results obtained from the multi-faceted studies to provide more potential research directions.
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Affiliation(s)
- Sheng-Cheng Wu
- Division of Hematology and Oncology, Department of Internal Medicine, Tri-Service General Hospital Penghu Branch, Magong City, Taiwan
| | - Shiue-Wei Lai
- Division of Hematology and Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Xin-Jie Lu
- Department of Biochemistry, National Defense Medical Center, Taipei City, Taiwan
| | - Hsing-Fan Lai
- Department of Biochemistry, National Defense Medical Center, Taipei City, Taiwan
| | - Yu-Guang Chen
- Division of Hematology and Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Po-Huang Chen
- Division of Hematology and Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Ching-Liang Ho
- Division of Hematology and Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Yi-Ying Wu
- Division of Hematology and Oncology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taiwan
| | - Yi-Lin Chiu
- Department of Biochemistry, National Defense Medical Center, Taipei City, Taiwan
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Vázquez-Blomquist D, Ramón AC, Rosales M, Pérez GV, Rosales A, Palenzuela D, Perera Y, Perea SE. Gene expression profiling unveils the temporal dynamics of CIGB-300-regulated transcriptome in AML cell lines. BMC Genomics 2023; 24:373. [PMID: 37400761 DOI: 10.1186/s12864-023-09472-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/20/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Protein kinase CK2 activity is implicated in the pathogenesis of various hematological malignancies like Acute Myeloid Leukemia (AML) that remains challenging concerning treatment. This kinase has emerged as an attractive molecular target in therapeutic. Antitumoral peptide CIGB-300 blocks CK2 phospho-acceptor sites on their substrates but it also binds to CK2α catalytic subunit. Previous proteomic and phosphoproteomic experiments showed molecular and cellular processes with relevance for the peptide action in diverse AML backgrounds but earlier transcriptional level events might also support the CIGB-300 anti-leukemic effect. Here we used a Clariom S HT assay for gene expression profiling to study the molecular events supporting the anti-leukemic effect of CIGB-300 peptide on HL-60 and OCI-AML3 cell lines. RESULTS We found 183 and 802 genes appeared significantly modulated in HL-60 cells at 30 min and 3 h of incubation with CIGB-300 for p < 0.01 and FC > = │1.5│, respectively; while 221 and 332 genes appeared modulated in OCI-AML3 cells. Importantly, functional enrichment analysis evidenced that genes and transcription factors related to apoptosis, cell cycle, leukocyte differentiation, signaling by cytokines/interleukins, and NF-kB, TNF signaling pathways were significantly represented in AML cells transcriptomic profiles. The influence of CIGB-300 on these biological processes and pathways is dependent on the cellular background, in the first place, and treatment duration. Of note, the impact of the peptide on NF-kB signaling was corroborated by the quantification of selected NF-kB target genes, as well as the measurement of p50 binding activity and soluble TNF-α induction. Quantification of CSF1/M-CSF and CDKN1A/P21 by qPCR supports peptide effects on differentiation and cell cycle. CONCLUSIONS We explored for the first time the temporal dynamics of the gene expression profile regulated by CIGB-300 which, along with the antiproliferative mechanism, can stimulate immune responses by increasing immunomodulatory cytokines. We provided fresh molecular clues concerning the antiproliferative effect of CIGB-300 in two relevant AML backgrounds.
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Affiliation(s)
- Dania Vázquez-Blomquist
- Pharmacogenomic Group, Department of System Biology, Biomedical Research Division, Center for Genetic Engineering & Biotechnology (CIGB), 10600, Havana, Cuba.
| | - Ailyn C Ramón
- Molecular Oncology Group, Department of Pharmaceuticals, Biomedical Research Division, CIGB, 10600, Havana, Cuba
| | - Mauro Rosales
- Molecular Oncology Group, Department of Pharmaceuticals, Biomedical Research Division, CIGB, 10600, Havana, Cuba
- Department of Animal and Human Biology, Faculty of Biology, University of Havana (UH), 10400, Havana, Cuba
| | - George V Pérez
- Molecular Oncology Group, Department of Pharmaceuticals, Biomedical Research Division, CIGB, 10600, Havana, Cuba
| | - Ailenis Rosales
- Department of Animal and Human Biology, Faculty of Biology, University of Havana (UH), 10400, Havana, Cuba
| | - Daniel Palenzuela
- Pharmacogenomic Group, Department of System Biology, Biomedical Research Division, Center for Genetic Engineering & Biotechnology (CIGB), 10600, Havana, Cuba
| | - Yasser Perera
- Molecular Oncology Group, Department of Pharmaceuticals, Biomedical Research Division, CIGB, 10600, Havana, Cuba.
- China-Cuba Biotechnology Joint Innovation Center (CCBJIC), Hunan Province, Yongzhou Zhong Gu Biotechnology Co., Ltd, Lengshuitan District, Yongzhou City, 425000, China.
| | - Silvio E Perea
- Molecular Oncology Group, Department of Pharmaceuticals, Biomedical Research Division, CIGB, 10600, Havana, Cuba.
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Alaoui L, Villar J, Leclere R, Le Gallou S, Relouzat F, Michaud HA, Tarte K, Teissier N, Favier B, Roussel M, Segura E. Functional specialization of short-lived and long-lived macrophage subsets in human tonsils. J Exp Med 2023; 220:e20230002. [PMID: 37036425 PMCID: PMC10098144 DOI: 10.1084/jem.20230002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/22/2023] [Accepted: 03/17/2023] [Indexed: 04/11/2023] Open
Abstract
Macrophages play a central role in tissue homeostasis and host defense. However, the properties of human macrophages in non-diseased tissues remain poorly understood. Here, we characterized human tonsil macrophages and identified three subsets with distinct phenotype, transcriptome, life cycle, and function. CD36hi macrophages were related to monocytes, while CD36lo macrophages showed features of embryonic origin and CD36int macrophages had a mixed profile. scRNA-seq on non-human primate tonsils showed that monocyte recruitment did not pre-exist an immune challenge. Functionally, CD36hi macrophages were specialized for stimulating T follicular helper cells, by producing Activin A. Combining reconstruction of ligand-receptor interactions and functional assays, we identified stromal cell-derived TNF-α as an inducer of Activin A secretion. However, only CD36hi macrophages were primed for Activin A expression, via the activity of IRF1. Our results provide insight into the heterogeneity of human lymphoid organ macrophages and show that tonsil CD36hi macrophage specialization is the result of both intrinsic features and interaction with stromal cells.
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Affiliation(s)
- Lamine Alaoui
- Institut Curie, PSL Research University, INSERM, U932, Paris, France
| | - Javiera Villar
- Institut Curie, PSL Research University, INSERM, U932, Paris, France
| | - Renaud Leclere
- Institut Curie, Plateforme de Pathologie Expérimentale, Paris, France
| | - Simon Le Gallou
- UMR 1236, Equipe Labellisée Ligue, INSERM, Etablissement Français du Sang Bretagne, Université Rennes, Rennes, France
- Pôle Biologie, Centre Hospitalier Universitaire Rennes, Rennes, France
| | - Francis Relouzat
- Center for Immunology of Viral, Auto-Immune, Hematological and Bacterial Diseases, Université Paris-Saclay, INSERM, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Fontenay-aux-Roses, Fontenay-aux-Roses, France
| | - Henri-Alexandre Michaud
- Institut de Recherche en Cancérologie de Montpellier, Université de Montpellier, INSERM, ICM, Plateforme de Cytométrie et d’Imagerie de Masse, Montpellier, France
| | - Karin Tarte
- UMR 1236, Equipe Labellisée Ligue, INSERM, Etablissement Français du Sang Bretagne, Université Rennes, Rennes, France
- Pôle Biologie, Centre Hospitalier Universitaire Rennes, Rennes, France
| | - Natacha Teissier
- Department of Pediatric Otorhinolaryngology, Head & Neck Surgery, Hôpital Robert-Debré, Robert Debré University Hospital APHP, University of Paris Nord, Paris, France
| | - Benoît Favier
- Center for Immunology of Viral, Auto-Immune, Hematological and Bacterial Diseases, Université Paris-Saclay, INSERM, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Fontenay-aux-Roses, Fontenay-aux-Roses, France
| | - Mikaël Roussel
- UMR 1236, Equipe Labellisée Ligue, INSERM, Etablissement Français du Sang Bretagne, Université Rennes, Rennes, France
- Pôle Biologie, Centre Hospitalier Universitaire Rennes, Rennes, France
| | - Elodie Segura
- Institut Curie, PSL Research University, INSERM, U932, Paris, France
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Yeo XH, Sundararajan V, Wu Z, Phua ZJC, Ho YY, Peh KLE, Chiu YC, Tan TZ, Kappei D, Ho YS, Tan DSP, Tam WL, Huang RYJ. The effect of inhibition of receptor tyrosine kinase AXL on DNA damage response in ovarian cancer. Commun Biol 2023; 6:660. [PMID: 37349576 PMCID: PMC10287694 DOI: 10.1038/s42003-023-05045-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 06/14/2023] [Indexed: 06/24/2023] Open
Abstract
AXL is a receptor tyrosine kinase that is often overexpressed in cancers. It contributes to pathophysiology in cancer progression and therapeutic resistance, making it an emerging therapeutic target. The first-in-class AXL inhibitor bemcentinib (R428/BGB324) has been granted fast track designation by the U.S. Food and Drug Administration (FDA) in STK11-mutated advanced metastatic non-small cell lung cancer and was also reported to show selective sensitivity towards ovarian cancers (OC) with a Mesenchymal molecular subtype. In this study, we further explored AXL's role in mediating DNA damage responses by using OC as a disease model. AXL inhibition using R428 resulted in the increase of DNA damage with the concurrent upregulation of DNA damage response signalling molecules. Furthermore, AXL inhibition rendered cells more sensitive to the inhibition of ATR, a crucial mediator for replication stress. Combinatory use of AXL and ATR inhibitors showed additive effects in OC. Through SILAC co-immunoprecipitation mass spectrometry, we identified a novel binding partner of AXL, SAM68, whose loss in OC cells harboured phenotypes in DNA damage responses similar to AXL inhibition. In addition, AXL- and SAM68-deficiency or R428 treatment induced elevated levels of cholesterol and upregulated genes in the cholesterol biosynthesis pathway. There might be a protective role of cholesterol in shielding cancer cells against DNA damage induced by AXL inhibition or SMA68 deficiency.
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Affiliation(s)
- Xun Hui Yeo
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Vignesh Sundararajan
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Zhengwei Wu
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Zi Jin Cheryl Phua
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Yin Ying Ho
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, Centros, Singapore, 138668, Republic of Singapore
| | - Kai Lay Esther Peh
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, Centros, Singapore, 138668, Republic of Singapore
| | - Yi-Chia Chiu
- Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Tuan Zea Tan
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Dennis Kappei
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore, 117597, Republic of Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
| | - Ying Swan Ho
- Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, Centros, Singapore, 138668, Republic of Singapore
| | - David Shao Peng Tan
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Haematology-Oncology, National University Cancer Institute, Singapore, Republic of Singapore
| | - Wai Leong Tam
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore, 117597, Republic of Singapore
- NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore, 637551, Republic of Singapore
| | - Ruby Yun-Ju Huang
- Graduate Institute of Oncology, College of Medicine, National Taiwan University, Taipei, Taiwan.
- School of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Republic of Singapore.
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Jha D, Al-Taie Z, Krek A, Eshghi ST, Fantou A, Laurent T, Tankelevich M, Cao X, Meringer H, Livanos AE, Tokuyama M, Cossarini F, Bourreille A, Josien R, Hou R, Canales-Herrerias P, Ungaro RC, Kayal M, Marion J, Polydorides AD, Ko HM, D’souza D, Merand R, Kim-Schulze S, Hackney JA, Nguyen A, McBride JM, Yuan GC, Colombel JF, Martin JC, Argmann C, Suárez-Fariñas M, Petralia F, Mehandru S. Myeloid cell influx into the colonic epithelium is associated with disease severity and non-response to anti-Tumor Necrosis Factor Therapy in patients with Ulcerative Colitis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.02.542863. [PMID: 37333091 PMCID: PMC10274630 DOI: 10.1101/2023.06.02.542863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Ulcerative colitis (UC) is an idiopathic chronic inflammatory disease of the colon with sharply rising global prevalence. Dysfunctional epithelial compartment (EC) dynamics are implicated in UC pathogenesis although EC-specific studies are sparse. Applying orthogonal high-dimensional EC profiling to a Primary Cohort (PC; n=222), we detail major epithelial and immune cell perturbations in active UC. Prominently, reduced frequencies of mature BEST4+OTOP2+ absorptive and BEST2+WFDC2+ secretory epithelial enterocytes were associated with the replacement of homeostatic, resident TRDC+KLRD1+HOPX+ γδ+ T cells with RORA+CCL20+S100A4+ TH17 cells and the influx of inflammatory myeloid cells. The EC transcriptome (exemplified by S100A8, HIF1A, TREM1, CXCR1) correlated with clinical, endoscopic, and histological severity of UC in an independent validation cohort (n=649). Furthermore, therapeutic relevance of the observed cellular and transcriptomic changes was investigated in 3 additional published UC cohorts (n=23, 48 and 204 respectively) to reveal that non-response to anti-Tumor Necrosis Factor (anti-TNF) therapy was associated with EC related myeloid cell perturbations. Altogether, these data provide high resolution mapping of the EC to facilitate therapeutic decision-making and personalization of therapy in patients with UC.
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Affiliation(s)
- Divya Jha
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zainab Al-Taie
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, New York City, NY, USA
| | - Azra Krek
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
| | - Shadi Toghi Eshghi
- Biomarker Discovery, OMNI, Genentech Inc. South SanFrancisco, CA, USA
- OMNI Biomarker Development, Genentech Inc. South SanFrancisco, CA, USA
| | - Aurelie Fantou
- Université de Nantes, Inserm, CHU Nantes, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000 Nantes, France
| | - Thomas Laurent
- Université de Nantes, Inserm, CHU Nantes, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000 Nantes, France
| | - Michael Tankelevich
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xuan Cao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
| | - Hadar Meringer
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexandra E Livanos
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Minami Tokuyama
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Francesca Cossarini
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Arnaud Bourreille
- Université de Nantes, Inserm, CHU Nantes, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000 Nantes, France
| | - Regis Josien
- Université de Nantes, Inserm, CHU Nantes, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000 Nantes, France
| | - Ruixue Hou
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, New York City, NY, USA
| | - Pablo Canales-Herrerias
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ryan C. Ungaro
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maia Kayal
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James Marion
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Huaibin M. Ko
- Department of Pathology and Cell Biology, Columbia University Medical Center-New York Presbyterian Hospital, New York, New York
| | - Darwin D’souza
- Human Immune Monitoring Core, Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Raphael Merand
- Human Immune Monitoring Core, Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Core, Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jason A. Hackney
- Biomarker Discovery, OMNI, Genentech Inc. South SanFrancisco, CA, USA
- OMNI Biomarker Development, Genentech Inc. South SanFrancisco, CA, USA
| | - Allen Nguyen
- Biomarker Discovery, OMNI, Genentech Inc. South SanFrancisco, CA, USA
- OMNI Biomarker Development, Genentech Inc. South SanFrancisco, CA, USA
| | - Jacqueline M. McBride
- Biomarker Discovery, OMNI, Genentech Inc. South SanFrancisco, CA, USA
- OMNI Biomarker Development, Genentech Inc. South SanFrancisco, CA, USA
| | - Guo-Cheng Yuan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
| | - Jean Frederic Colombel
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jerome C. Martin
- Université de Nantes, Inserm, CHU Nantes, Centre de Recherche en Transplantation et Immunologie, UMR 1064, ITUN, F-44000 Nantes, France
| | - Carmen Argmann
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, New York City, NY, USA
| | - Mayte Suárez-Fariñas
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Data Science and Genomic Technology, New York City, NY, USA
| | - Francesca Petralia
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA
| | - Saurabh Mehandru
- Henry D. Janowitz Division of Gastroenterology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Precision Institute of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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46
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Zujur D, Al-Akashi Z, Nakamura A, Zhao C, Takahashi K, Aritomi S, Theoputra W, Kamiya D, Nakayama K, Ikeya M. Enhanced chondrogenic differentiation of iPS cell-derived mesenchymal stem/stromal cells via neural crest cell induction for hyaline cartilage repair. Front Cell Dev Biol 2023; 11:1140717. [PMID: 37234772 PMCID: PMC10206169 DOI: 10.3389/fcell.2023.1140717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 04/24/2023] [Indexed: 05/28/2023] Open
Abstract
Background: To date, there is no effective long-lasting treatment for cartilage tissue repair. Primary chondrocytes and mesenchymal stem/stromal cells are the most commonly used cell sources in regenerative medicine. However, both cell types have limitations, such as dedifferentiation, donor morbidity, and limited expansion. Here, we report a stepwise differentiation method to generate matrix-rich cartilage spheroids from induced pluripotent stem cell-derived mesenchymal stem/stromal cells (iMSCs) via the induction of neural crest cells under xeno-free conditions. Methods: The genes and signaling pathways regulating the chondrogenic susceptibility of iMSCs generated under different conditions were studied. Enhanced chondrogenic differentiation was achieved using a combination of growth factors and small-molecule inducers. Results: We demonstrated that the use of a thienoindazole derivative, TD-198946, synergistically improves chondrogenesis in iMSCs. The proposed strategy produced controlled-size spheroids and increased cartilage extracellular matrix production with no signs of dedifferentiation, fibrotic cartilage formation, or hypertrophy in vivo. Conclusion: These findings provide a novel cell source for stem cell-based cartilage repair. Furthermore, since chondrogenic spheroids have the potential to fuse within a few days, they can be used as building blocks for biofabrication of larger cartilage tissues using technologies such as the Kenzan Bioprinting method.
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Affiliation(s)
- Denise Zujur
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Ziadoon Al-Akashi
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Anna Nakamura
- Center for Regenerative Medicine Research, Faculty of Medicine, Saga University, Saga, Japan
| | - Chengzhu Zhao
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Laboratory of Skeletal Development and Regeneration, Institute of Life Sciences, Chongqing Medical University, Chongqing, China
| | - Kazuma Takahashi
- Research Institute for Bioscience Product and Fine Chemicals, Ajinomoto Co., Inc, Kawasaki, Japan
| | - Shizuka Aritomi
- Research Institute for Bioscience Product and Fine Chemicals, Ajinomoto Co., Inc, Kawasaki, Japan
| | - William Theoputra
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
| | - Daisuke Kamiya
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Takeda-CiRA Joint Program (T-CiRA), Kanagawa, Japan
| | - Koichi Nakayama
- Center for Regenerative Medicine Research, Faculty of Medicine, Saga University, Saga, Japan
| | - Makoto Ikeya
- Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto, Japan
- Takeda-CiRA Joint Program (T-CiRA), Kanagawa, Japan
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47
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Ferdousi F, Sasaki K, Fukumitsu S, Kuwata H, Nakajima M, Isoda H. A Descriptive Whole-Genome Transcriptomics Study in a Stem Cell-Based Tool Predicts Multiple Tissue-Specific Beneficial Potential and Molecular Targets of Carnosic Acid. Int J Mol Sci 2023; 24:ijms24098077. [PMID: 37175790 PMCID: PMC10179098 DOI: 10.3390/ijms24098077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/15/2023] Open
Abstract
Carnosic acid (CA) is a phenolic diterpene widely distributed in herbal plants, rosemary and sage. Although its medicinal properties, such as antioxidant, antimicrobial, and neuroprotective effects, have been well-documented, its relevant biochemical processes and molecular targets have not been fully explored yet. In the present study, we conducted an untargeted whole-genome transcriptomics analysis to investigate CA-induced early biological and molecular events in human amniotic epithelial stem cells (hAESCs) with the aim of exploring its multiple tissue-specific functionalities and potential molecular targets. We found that seven days of CA treatment in hAESCs could induce mesoderm-lineage-specific differentiation. Tissue enrichment analysis revealed that CA significantly enriched lateral plate mesoderm-originated cardiovascular and adipose tissues. Further tissue-specific PPI analysis and kinase and transcription factor enrichment analyses identified potential upstream regulators and molecular targets of CA in a tissue-specific manner. Gene ontology enrichment analyses revealed the metabolic, antioxidant, and antifibrotic activities of CA. Altogether, our comprehensive whole-genome transcriptomics analyses offer a thorough understanding of the possible underlying molecular mechanism of CA.
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Affiliation(s)
- Farhana Ferdousi
- Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, Tsukuba 305-8572, Japan
| | - Kazunori Sasaki
- Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, Tsukuba 305-8572, Japan
- Open Innovation Laboratory for Food and Medicinal Resource Engineering (FoodMed-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-0821, Japan
| | - Satoshi Fukumitsu
- NIPPN Corporation, Tokyo 243-0041, Japan
- Tsukuba Life Science Innovation Program (T-LSI), University of Tsukuba, Tsukuba 305-8577, Japan
| | | | - Mitsutoshi Nakajima
- Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, Tsukuba 305-8572, Japan
- Open Innovation Laboratory for Food and Medicinal Resource Engineering (FoodMed-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-0821, Japan
- MED R&D Corporation, Tsukuba 305-8572, Japan
- Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan
| | - Hiroko Isoda
- Alliance for Research on the Mediterranean and North Africa (ARENA), University of Tsukuba, Tsukuba 305-8572, Japan
- Open Innovation Laboratory for Food and Medicinal Resource Engineering (FoodMed-OIL), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-0821, Japan
- Tsukuba Life Science Innovation Program (T-LSI), University of Tsukuba, Tsukuba 305-8577, Japan
- MED R&D Corporation, Tsukuba 305-8572, Japan
- Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba 305-8572, Japan
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48
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van Hooren L, Handgraaf SM, Kloosterman DJ, Karimi E, van Mil LWHG, Gassama AA, Solsona BG, de Groot MHP, Brandsma D, Quail DF, Walsh LA, Borst GR, Akkari L. CD103 + regulatory T cells underlie resistance to radio-immunotherapy and impair CD8 + T cell activation in glioblastoma. NATURE CANCER 2023; 4:665-681. [PMID: 37081259 DOI: 10.1038/s43018-023-00547-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 03/20/2023] [Indexed: 04/22/2023]
Abstract
Glioblastomas are aggressive primary brain tumors with an inherent resistance to T cell-centric immunotherapy due to their low mutational burden and immunosuppressive tumor microenvironment. Here we report that fractionated radiotherapy of preclinical glioblastoma models induce a tenfold increase in T cell content. Orthogonally, spatial imaging mass cytometry shows T cell enrichment in human recurrent tumors compared with matched primary glioblastoma. In glioblastoma-bearing mice, α-PD-1 treatment applied at the peak of T cell infiltration post-radiotherapy results in a modest survival benefit compared with concurrent α-PD-1 administration. Following α-PD-1 therapy, CD103+ regulatory T cells (Tregs) with upregulated lipid metabolism accumulate in the tumor microenvironment, and restrain immune checkpoint blockade response by repressing CD8+ T cell activation. Treg targeting elicits tertiary lymphoid structure formation, enhances CD4+ and CD8+ T cell frequency and function and unleashes radio-immunotherapeutic efficacy. These results support the rational design of therapeutic regimens limiting the induction of immunosuppressive feedback pathways in the context of T cell immunotherapy in glioblastoma.
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Affiliation(s)
- Luuk van Hooren
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Shanna M Handgraaf
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Daan J Kloosterman
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Elham Karimi
- Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Lotte W H G van Mil
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Awa A Gassama
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Beatriz Gomez Solsona
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Marnix H P de Groot
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Dieta Brandsma
- Department of Neuro-Oncology, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, the Netherlands
| | - Daniela F Quail
- Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, Quebec, Canada
- Department of Physiology, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Logan A Walsh
- Rosalind and Morris Goodman Cancer Research Centre, McGill University, Montreal, Quebec, Canada
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada
| | - Gerben R Borst
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health and Manchester Cancer Research Centre, University of Manchester, Manchester, UK.
- Department of Radiotherapy Related Research, The Christie NHS Foundation Trust, Manchester, UK.
| | - Leila Akkari
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
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49
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Melo US, Jatzlau J, Prada-Medina CA, Flex E, Hartmann S, Ali S, Schöpflin R, Bernardini L, Ciolfi A, Moeinzadeh MH, Klever MK, Altay A, Vallecillo-García P, Carpentieri G, Delledonne M, Ort MJ, Schwestka M, Ferrero GB, Tartaglia M, Brusco A, Gossen M, Strunk D, Geißler S, Mundlos S, Stricker S, Knaus P, Giorgio E, Spielmann M. Enhancer hijacking at the ARHGAP36 locus is associated with connective tissue to bone transformation. Nat Commun 2023; 14:2034. [PMID: 37041138 PMCID: PMC10090176 DOI: 10.1038/s41467-023-37585-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 03/21/2023] [Indexed: 04/13/2023] Open
Abstract
Heterotopic ossification is a disorder caused by abnormal mineralization of soft tissues in which signaling pathways such as BMP, TGFβ and WNT are known key players in driving ectopic bone formation. Identifying novel genes and pathways related to the mineralization process are important steps for future gene therapy in bone disorders. In this study, we detect an inter-chromosomal insertional duplication in a female proband disrupting a topologically associating domain and causing an ultra-rare progressive form of heterotopic ossification. This structural variant lead to enhancer hijacking and misexpression of ARHGAP36 in fibroblasts, validated here by orthogonal in vitro studies. In addition, ARHGAP36 overexpression inhibits TGFβ, and activates hedgehog signaling and genes/proteins related to extracellular matrix production. Our work on the genetic cause of this heterotopic ossification case has revealed that ARHGAP36 plays a role in bone formation and metabolism, outlining first details of this gene contributing to bone-formation and -disease.
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Affiliation(s)
- Uirá Souto Melo
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany.
- Institute for Medical Genetics and Human Genetics, Charité University Medicine Berlin, 13353, Berlin, Germany.
| | - Jerome Jatzlau
- Freie Universität Berlin, Institute for Chemistry and Biochemistry, 14195, Berlin, Germany
| | - Cesar A Prada-Medina
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany
| | - Elisabetta Flex
- Istituto Superiore di Sanità, Department of Oncology and Molecular Medicine, 00161, Rome, Italy
| | - Sunhild Hartmann
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany
| | - Salaheddine Ali
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany
| | - Robert Schöpflin
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany
| | - Laura Bernardini
- Cytogenetics Unit, Casa Sollievo della Sofferenza Foundation, IRCCS, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Andrea Ciolfi
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146, Rome, Italy
| | - M-Hossein Moeinzadeh
- Max Planck Institute for Molecular Genetics, Department of Computational Molecular Biology, 14195, Berlin, Germany
| | - Marius-Konstantin Klever
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany
- Institute for Medical Genetics and Human Genetics, Charité University Medicine Berlin, 13353, Berlin, Germany
| | - Aybuge Altay
- Max Planck Institute for Molecular Genetics, Department of Computational Molecular Biology, 14195, Berlin, Germany
| | | | - Giovanna Carpentieri
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146, Rome, Italy
| | | | - Melanie-Jasmin Ort
- Freie Universität Berlin, Institute for Chemistry and Biochemistry, 14195, Berlin, Germany
- Julius Wolff Institute (JWI), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 13353, Berlin, Germany
- BIH Center for Regenerative Therapies (BCRT), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Marko Schwestka
- Institute of Active Polymers, Helmholtz-Zentrum Hereon, 14513, Teltow, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), 13353, Berlin, Germany
| | | | - Marco Tartaglia
- Molecular Genetics and Functional Genomics, Ospedale Pediatrico Bambino Gesù, IRCCS, 00146, Rome, Italy
| | - Alfredo Brusco
- Department of Medical Sciences, University of Torino, 10126, Torino, Italy
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, Torino, 10126, Italy
| | - Manfred Gossen
- Institute of Active Polymers, Helmholtz-Zentrum Hereon, 14513, Teltow, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), 13353, Berlin, Germany
| | - Dirk Strunk
- Cell Therapy Institute, Spinal Cord Injury and Tissue Regeneration Center Salzburg (SCI-TReCS), Paracelsus Medical University (PMU), 5020, Salzburg, Austria
| | - Sven Geißler
- Julius Wolff Institute (JWI), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 13353, Berlin, Germany
- BIH Center for Regenerative Therapies (BCRT), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), 13353, Berlin, Germany
| | - Stefan Mundlos
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany
- Institute for Medical Genetics and Human Genetics, Charité University Medicine Berlin, 13353, Berlin, Germany
| | - Sigmar Stricker
- Freie Universität Berlin, Institute for Chemistry and Biochemistry, 14195, Berlin, Germany
| | - Petra Knaus
- Freie Universität Berlin, Institute for Chemistry and Biochemistry, 14195, Berlin, Germany
| | - Elisa Giorgio
- Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy.
- Medical Genetics Unit, IRCCS Mondino Foundation, 27100, Pavia, Italy.
| | - Malte Spielmann
- Max Planck Institute for Molecular Genetics, Development and Disease Group, 14195, Berlin, Germany.
- Institute of Human Genetics, University Hospitals Schleswig-Holstein, University of Lübeck and University of Kiel, Lübeck, 23562, Germany.
- DZHK (German Centre for Cardiovascular Research) Germany, partner site Hamburg, Lübeck, Kiel, Lübeck, 23562, Germany.
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50
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Queme B, Braisted JC, Dranchak P, Inglese J. qHTSWaterfall: 3-dimensional visualization software for quantitative high-throughput screening (qHTS) data. J Cheminform 2023; 15:39. [PMID: 37004072 PMCID: PMC10064508 DOI: 10.1186/s13321-023-00717-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 03/26/2023] [Indexed: 04/03/2023] Open
Abstract
High throughput screening (HTS) is widely used in drug discovery and chemical biology to identify and characterize agents having pharmacologic properties often by evaluation of large chemical libraries. Standard HTS data can be simply plotted as an x-y graph usually represented as % activity of a compound tested at a single concentration vs compound ID, whereas quantitative HTS (qHTS) data incorporates a third axis represented by concentration. By virtue of the additional data points arising from the compound titration and the incorporation of logistic fit parameters that define the concentration-response curve, such as EC50 and Hill slope, qHTS data has been challenging to display on a single graph. Here we provide a flexible solution to the rapid plotting of complete qHTS data sets to produce a 3-axis plot we call qHTS Waterfall Plots. The software described here can be generally applied to any 3-axis dataset and is available as both an R package and an R shiny application.
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Affiliation(s)
- Bryan Queme
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, 20850, USA
| | - John C Braisted
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, 20850, USA.
| | - Patricia Dranchak
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, 20850, USA
| | - James Inglese
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, MD, 20850, USA
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
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