1
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Regunath K, Fomin V, Liu Z, Wang P, Hoque M, Tian B, Rabadan R, Prives C. Systematic Characterization of p53-Regulated Long Noncoding RNAs across Human Cancers Reveals Remarkable Heterogeneity among Different Tumor Types. Mol Cancer Res 2024; 22:555-571. [PMID: 38393317 DOI: 10.1158/1541-7786.mcr-23-0295] [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: 05/01/2023] [Revised: 12/04/2023] [Accepted: 02/21/2024] [Indexed: 02/25/2024]
Abstract
The p53 tumor suppressor protein, a sequence-specific DNA binding transcription factor, regulates the expression of a large number of genes, in response to various forms of cellular stress. Although the protein coding target genes of p53 have been well studied, less is known about its role in regulating long noncoding genes and their functional relevance to cancer. Here we report the genome-wide identification of a large set (>1,000) of long noncoding RNAs (lncRNA), which are putative p53 targets in a colon cancer cell line and in human patient datasets from five different common types of cancer. These lncRNAs have not been annotated by other studies of normal unstressed systems. In the colon cancer cell line, a high proportion of these lncRNAs are uniquely induced by different chemotherapeutic agents that activate p53, whereas others are induced by more than one agent tested. Further, subsets of these lncRNAs independently predict overall and disease-free survival of patients across the five different common cancer types. Interestingly, both genetic alterations and patient survival associated with different lncRNAs are unique to each cancer tested, indicating extraordinary tissue-specific variability in the p53 noncoding response. The newly identified noncoding p53 target genes have allowed us to construct a classifier for tumor diagnosis and prognosis. IMPLICATIONS Our results not only identify myriad p53-regulated long noncoding (lncRNA), they also reveal marked drug-induced, as well as tissue- and tumor-specific heterogeneity in these putative p53 targets and our findings have enabled the construction of robust classifiers for diagnosis and prognosis.
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Affiliation(s)
- Kausik Regunath
- Department of Biological Sciences, Columbia University, New York, New York
| | - Vitalay Fomin
- Department of Biological Sciences, Columbia University, New York, New York
| | - Zhaoqi Liu
- Program for Mathematical Genomics, Departments of Systems Biology and Biomedical Informatics, Columbia University College of Physicians & Surgeons, New York, New York
| | - Pingzhang Wang
- Program for Mathematical Genomics, Departments of Systems Biology and Biomedical Informatics, Columbia University College of Physicians & Surgeons, New York, New York
| | - Mainul Hoque
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Bin Tian
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, New Jersey
| | - Raul Rabadan
- Program for Mathematical Genomics, Departments of Systems Biology and Biomedical Informatics, Columbia University College of Physicians & Surgeons, New York, New York
| | - Carol Prives
- Department of Biological Sciences, Columbia University, New York, New York
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2
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Sardar S, McNair CM, Ravindranath L, Chand SN, Yuan W, Bogdan D, Welti J, Sharp A, Ryan NK, Schiewer MJ, DeArment EG, Janas T, Su XA, Butler LM, de Bono JS, Frese K, Brooks N, Pegg N, Knudsen KE, Shafi AA. AR coactivators, CBP/p300, are critical mediators of DNA repair in prostate cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.07.592966. [PMID: 38766099 PMCID: PMC11100730 DOI: 10.1101/2024.05.07.592966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Castration resistant prostate cancer (CRPC) remains an incurable disease stage with ineffective treatments options. Here, the androgen receptor (AR) coactivators CBP/p300, which are histone acetyltransferases, were identified as critical mediators of DNA damage repair (DDR) to potentially enhance therapeutic targeting of CRPC. Key findings demonstrate that CBP/p300 expression increases with disease progression and selects for poor prognosis in metastatic disease. CBP/p300 bromodomain inhibition enhances response to standard of care therapeutics. Functional studies, CBP/p300 cistrome mapping, and transcriptome in CRPC revealed that CBP/p300 regulates DDR. Further mechanistic investigation showed that CBP/p300 attenuation via therapeutic targeting and genomic knockdown decreases homologous recombination (HR) factors in vitro, in vivo, and in human prostate cancer (PCa) tumors ex vivo. Similarly, CBP/p300 expression in human prostate tissue correlates with HR factors. Lastly, targeting CBP/p300 impacts HR-mediate repair and patient outcome. Collectively, these studies identify CBP/p300 as drivers of PCa tumorigenesis and lay the groundwork to optimize therapeutic strategies for advanced PCa via CBP/p300 inhibition, potentially in combination with AR-directed and DDR therapies.
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Affiliation(s)
- Sumaira Sardar
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, 20817 USA
| | - Christopher M. McNair
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, 19107, USA
| | - Lakshmi Ravindranath
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, 20817 USA
| | - Saswati N. Chand
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, 19107, USA
| | - Wei Yuan
- The Institute of Cancer Research, London, United Kingdom
| | - Denisa Bogdan
- The Institute of Cancer Research, London, United Kingdom
| | - Jon Welti
- The Institute of Cancer Research, London, United Kingdom
| | - Adam Sharp
- The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden Hospital, London, United Kingdom
| | - Natalie K. Ryan
- South Australian Immunogenomics Cancer Institute, The University of Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Matthew J. Schiewer
- Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania, 19107, USA
| | - Elise G. DeArment
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, 20817 USA
| | - Thomas Janas
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, 20817 USA
| | - Xiaofeng A. Su
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, 20817 USA
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Lisa M. Butler
- South Australian Immunogenomics Cancer Institute, The University of Adelaide, Australia
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Johann S. de Bono
- The Institute of Cancer Research, London, United Kingdom
- The Royal Marsden Hospital, London, United Kingdom
| | - Kris Frese
- CellCentric Ltd., Cambridge, United Kingdom
| | | | - Neil Pegg
- CellCentric Ltd., Cambridge, United Kingdom
| | - Karen E. Knudsen
- The American Cancer Society, Philadelphia, Pennsylvania, 19103, USA
| | - Ayesha A. Shafi
- Center for Prostate Disease Research, Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, Maryland, 20817, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, 20817 USA
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3
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Thapa R, Marmo K, Ma L, Torry DS, Bany BM. The Long Non-Coding RNA Gene AC027288.3 Plays a Role in Human Endometrial Stromal Fibroblast Decidualization. Cells 2024; 13:778. [PMID: 38727314 PMCID: PMC11083667 DOI: 10.3390/cells13090778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
During the secretory phase of the menstrual cycle, endometrial fibroblast cells begin to change into large epithelial-like cells called decidual cells in a process called decidualization. This differentiation continues more broadly in the endometrium and forms the decidual tissue during early pregnancy. The cells undergoing decidualization as well as the resulting decidual cells, support successful implantation and placentation during early pregnancy. This study was carried out to identify new potentially important long non-coding RNA (lncRNA) genes that may play a role in human endometrial stromal fibroblast cells (hESF) undergoing decidualization in vitro, and several were found. The expression of nine was further characterized. One of these, AC027288.3, showed a dramatic increase in the expression of hESF cells undergoing decidualization. When AC027288.3 expression was targeted, the ability of the cells to undergo decidualization as determined by the expression of decidualization marker protein-coding genes was significantly altered. The most affected markers of decidualization whose expression was significantly reduced were FOXO1, FZD4, and INHBA. Therefore, AC027288.3 may be a major upstream regulator of the WNT-FOXO1 pathway and activin-SMAD3 pathways previously shown as critical for hESF decidualization. Finally, we explored possible regulators of AC027288.3 expression during human ESF decidualization. Expression was regulated by cAMP and progesterone. Our results suggest that AC027288.3 plays a role in hESF decidualization and identifies several other lncRNA genes that may also play a role.
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Affiliation(s)
- Rupak Thapa
- Department of Physiology, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; (R.T.)
| | - Kevin Marmo
- Department of Physiology, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; (R.T.)
| | - Liang Ma
- Division of Dermatology, Department of Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Donald S. Torry
- Department of Medical Microbiology, Immunology and Cell Biology, Southern Illinois University School of Medicine, Springfield, IL 62702, USA
| | - Brent M. Bany
- Department of Physiology, Southern Illinois University School of Medicine, Carbondale, IL 62901, USA; (R.T.)
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4
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Kuhn CK, Stenzel U, Berndt S, Liebscher I, Schöneberg T, Horn S. The repertoire and structure of adhesion GPCR transcript variants assembled from publicly available deep-sequenced human samples. Nucleic Acids Res 2024; 52:3823-3836. [PMID: 38421639 DOI: 10.1093/nar/gkae145] [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: 09/27/2023] [Revised: 01/24/2024] [Accepted: 02/19/2024] [Indexed: 03/02/2024] Open
Abstract
Alternative splicing and multiple transcription start and termination sites can produce a diverse repertoire of mRNA transcript variants from a given gene. While the full picture of the human transcriptome is still incomplete, publicly available RNA datasets have enabled the assembly of transcripts. Using publicly available deep sequencing data from 927 human samples across 48 tissues, we quantified known and new transcript variants, provide an interactive, browser-based application Splice-O-Mat and demonstrate its relevance using adhesion G protein-coupled receptors (aGPCRs) as an example. On average, 24 different transcript variants were detected for each of the 33 human aGPCR genes, and several dominant transcript variants were not yet annotated. Variable transcription starts and complex exon-intron structures encode a flexible protein domain architecture of the N- and C termini and the seven-transmembrane helix domain (7TMD). Notably, we discovered the first GPCR (ADGRG7/GPR128) with eight transmembrane helices. Both the N- and C terminus of this aGPCR were intracellularly oriented, anchoring the N terminus in the plasma membrane. Moreover, the assessment of tissue-specific transcript variants, also for other gene classes, in our application may change the evaluation of disease-causing mutations, as their position in different transcript variants may explain tissue-specific phenotypes.
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Affiliation(s)
- Christina Katharina Kuhn
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
| | - Udo Stenzel
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
| | - Sandra Berndt
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
| | - Ines Liebscher
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
| | - Torsten Schöneberg
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
- Department of Biochemistry, School of Medicine, University of Global Health Equity (UGHE), PO Box 6955 Kigali, Rwanda
| | - Susanne Horn
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
- Institute of Translational Genomics, Helmholtz Zentrum München - German Research Center for Environmental Health, 85764 Neuherberg, Germany
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5
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Ruzanov P, Evdokimova V, Pachva MC, Minkovich A, Zhang Z, Langman S, Gassmann H, Thiel U, Orlic-Milacic M, Zaidi SH, Peltekova V, Heisler LE, Sharma M, Cox ME, McKee TD, Zaidi M, Lapouble E, McPherson JD, Delattre O, Radvanyi L, Burdach SE, Stein LD, Sorensen PH. Oncogenic ETS fusions promote DNA damage and proinflammatory responses via pericentromeric RNAs in extracellular vesicles. J Clin Invest 2024; 134:e169470. [PMID: 38530366 PMCID: PMC11060741 DOI: 10.1172/jci169470] [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: 02/09/2023] [Accepted: 03/12/2024] [Indexed: 03/28/2024] Open
Abstract
Aberrant expression of the E26 transformation-specific (ETS) transcription factors characterizes numerous human malignancies. Many of these proteins, including EWS:FLI1 and EWS:ERG fusions in Ewing sarcoma (EwS) and TMPRSS2:ERG in prostate cancer (PCa), drive oncogenic programs via binding to GGAA repeats. We report here that both EWS:FLI1 and ERG bind and transcriptionally activate GGAA-rich pericentromeric heterochromatin. The respective pathogen-like HSAT2 and HSAT3 RNAs, together with LINE, SINE, ERV, and other repeat transcripts, are expressed in EwS and PCa tumors, secreted in extracellular vesicles (EVs), and are highly elevated in plasma of patients with EwS with metastatic disease. High human satellite 2 and 3 (HSAT2,3) levels in EWS:FLI1- or ERG-expressing cells and tumors were associated with induction of G2/M checkpoint, mitotic spindle, and DNA damage programs. These programs were also activated in EwS EV-treated fibroblasts, coincident with accumulation of HSAT2,3 RNAs, proinflammatory responses, mitotic defects, and senescence. Mechanistically, HSAT2,3-enriched cancer EVs induced cGAS-TBK1 innate immune signaling and formation of cytosolic granules positive for double-strand RNAs, RNA-DNA, and cGAS. Hence, aberrantly expressed ETS proteins derepress pericentromeric heterochromatin, yielding pathogenic RNAs that transmit genotoxic stress and inflammation to local and distant sites. Monitoring HSAT2,3 plasma levels and preventing their dissemination may thus improve therapeutic strategies and blood-based diagnostics.
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Affiliation(s)
- Peter Ruzanov
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Manideep C. Pachva
- Department of Molecular Oncology, British Columbia Cancer Research Centre and
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alon Minkovich
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Zhenbo Zhang
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Sofya Langman
- Department of Molecular Oncology, British Columbia Cancer Research Centre and
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hendrik Gassmann
- Department of Pediatrics, Children’s Cancer Research Center, Kinderklinik München Schwabing, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Uwe Thiel
- Department of Pediatrics, Children’s Cancer Research Center, Kinderklinik München Schwabing, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
| | | | - Syed H. Zaidi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Vanya Peltekova
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Manju Sharma
- Vancouver Prostate Centre, Vancouver, British Columbia, Canada
| | - Michael E. Cox
- Vancouver Prostate Centre, Vancouver, British Columbia, Canada
| | - Trevor D. McKee
- STTARR Innovation Centre, Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
- Pathomics Inc., Toronto, Ontario, Canada
| | - Mark Zaidi
- Pathomics Inc., Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Eve Lapouble
- Unité Génétique Somatique (UGS), Institut Curie, Centre Hospitalier Paris, France
| | - John D. McPherson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Biochemistry and Molecular Medicine, University of California Davis Comprehensive Cancer Center, Sacramento, California, USA
| | - Olivier Delattre
- Unité Génétique Somatique (UGS), Institut Curie, Centre Hospitalier Paris, France
- Diversity and Plasticity of Childhood tumors, INSERM U830, Institut Curie Research Center, PSL Research University, Paris, France
| | - Laszlo Radvanyi
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Stefan E.G. Burdach
- Department of Molecular Oncology, British Columbia Cancer Research Centre and
- Department of Pediatrics, Children’s Cancer Research Center, Kinderklinik München Schwabing, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany
- CCC München Comprehensive Cancer Center, DKTK German Cancer Consortium, Munich, Germany
- Institute of Pathology, Translation Pediatric Cancer Research Action, School of Medicine, Technical University of Munich, Munich, Germany
| | - Lincoln D. Stein
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Poul H. Sorensen
- Department of Molecular Oncology, British Columbia Cancer Research Centre and
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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6
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Miller JR, Adjeroh DA. Machine learning on alignment features for parent-of-origin classification of simulated hybrid RNA-seq. BMC Bioinformatics 2024; 25:109. [PMID: 38475727 DOI: 10.1186/s12859-024-05728-3] [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: 07/28/2023] [Accepted: 03/01/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Parent-of-origin allele-specific gene expression (ASE) can be detected in interspecies hybrids by virtue of RNA sequence variants between the parental haplotypes. ASE is detectable by differential expression analysis (DEA) applied to the counts of RNA-seq read pairs aligned to parental references, but aligners do not always choose the correct parental reference. RESULTS We used public data for species that are known to hybridize. We measured our ability to assign RNA-seq read pairs to their proper transcriptome or genome references. We tested software packages that assign each read pair to a reference position and found that they often favored the incorrect species reference. To address this problem, we introduce a post process that extracts alignment features and trains a random forest classifier to choose the better alignment. On each simulated hybrid dataset tested, our machine-learning post-processor achieved higher accuracy than the aligner by itself at choosing the correct parent-of-origin per RNA-seq read pair. CONCLUSIONS For the parent-of-origin classification of RNA-seq, machine learning can improve the accuracy of alignment-based methods. This approach could be useful for enhancing ASE detection in interspecies hybrids, though RNA-seq from real hybrids may present challenges not captured by our simulations. We believe this is the first application of machine learning to this problem domain.
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Affiliation(s)
- Jason R Miller
- Department of Computer Science, Mathematics, Engineering, Shepherd University, Shepherdstown, WV, USA.
- EVOGENE, Department of Biosciences, University of Oslo, Oslo, Norway.
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA.
| | - Donald A Adjeroh
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA
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7
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Fitzsimmons CM, Mandler MD, Lunger JC, Chan D, Maligireddy S, Schmiechen A, Gamage S, Link C, Jenkins L, Chan K, Andresson T, Crooks D, Meier J, Linehan W, Batista P. Rewiring of RNA methylation by the oncometabolite fumarate in renal cell carcinoma. NAR Cancer 2024; 6:zcae004. [PMID: 38328795 PMCID: PMC10849186 DOI: 10.1093/narcan/zcae004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 01/09/2024] [Accepted: 01/16/2024] [Indexed: 02/09/2024] Open
Abstract
Metabolic reprogramming is a hallmark of cancer that facilitates changes in many adaptive biological processes. Mutations in the tricarboxylic acid cycle enzyme fumarate hydratase (FH) lead to fumarate accumulation and cause hereditary leiomyomatosis and renal cell cancer (HLRCC). HLRCC is a rare, inherited disease characterized by the development of non-cancerous smooth muscle tumors of the uterus and skin, and an increased risk of an aggressive form of kidney cancer. Fumarate has been shown to inhibit 2-oxoglutarate-dependent dioxygenases (2OGDDs) involved in the hydroxylation of HIF1α, as well as in DNA and histone demethylation. However, the link between fumarate accumulation and changes in RNA post-transcriptional modifications has not been defined. Here, we determine the consequences of fumarate accumulation on the activity of different members of the 2OGDD family targeting RNA modifications. By evaluating multiple RNA modifications in patient-derived HLRCC cell lines, we show that mutation of FH selectively affects the levels of N6-methyladenosine (m6A), while the levels of 5-formylcytosine (f5C) in mitochondrial tRNA are unaffected. This supports the hypothesis of a differential impact of fumarate accumulation on distinct RNA demethylases. The observation that metabolites modulate specific subsets of RNA-modifying enzymes offers new insights into the intersection between metabolism and the epitranscriptome.
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Affiliation(s)
- Christina M Fitzsimmons
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Mariana D Mandler
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Judith C Lunger
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Dalen Chan
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Siddhardha S Maligireddy
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alexandra C Schmiechen
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Supuni Thalalla Gamage
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Courtney Link
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Lisa M Jenkins
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - King Chan
- Protein Characterization Laboratory, Research Technology Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21701, USA
| | - Thorkell Andresson
- Protein Characterization Laboratory, Research Technology Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD 21701, USA
| | - Daniel R Crooks
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jordan L Meier
- Chemical Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Pedro J Batista
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
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8
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Keber FC, Nguyen T, Mariossi A, Brangwynne CP, Wühr M. Evidence for widespread cytoplasmic structuring into mesoscale condensates. Nat Cell Biol 2024; 26:346-352. [PMID: 38424273 PMCID: PMC10981939 DOI: 10.1038/s41556-024-01363-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 01/23/2024] [Indexed: 03/02/2024]
Abstract
Compartmentalization is an essential feature of eukaryotic life and is achieved both via membrane-bound organelles, such as mitochondria, and membrane-less biomolecular condensates, such as the nucleolus. Known biomolecular condensates typically exhibit liquid-like properties and are visualized by microscopy on the scale of ~1 µm (refs. 1,2). They have been studied mostly by microscopy, examining select individual proteins. So far, several dozen biomolecular condensates are known, serving a multitude of functions, for example, in the regulation of transcription3, RNA processing4 or signalling5,6, and their malfunction can cause diseases7,8. However, it remains unclear to what extent biomolecular condensates are utilized in cellular organization and at what length scale they typically form. Here we examine native cytoplasm from Xenopus egg extract on a global scale with quantitative proteomics, filtration, size exclusion and dilution experiments. These assays reveal that at least 18% of the proteome is organized into mesoscale biomolecular condensates at the scale of ~100 nm and appear to be stabilized by RNA or gelation. We confirmed mesoscale sizes via imaging below the diffraction limit by investigating protein permeation into porous substrates with defined pore sizes. Our results show that eukaryotic cytoplasm organizes extensively via biomolecular condensates, but at surprisingly short length scales.
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Affiliation(s)
- Felix C Keber
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Thao Nguyen
- Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Andrea Mariossi
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Clifford P Brangwynne
- Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
- Howard Hughes Medical Institute, Princeton University, Princeton, NJ, USA.
- Omenn-Darling Bioengineering Institute, Princeton University, Princeton, NJ, USA.
| | - Martin Wühr
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
- Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
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9
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Hoyer LL, Freeman BA, Hogan EK, Hernandez AG. Use of a Candida albicans SC5314 PacBio HiFi reads dataset to close gaps in the reference genome assembly, reveal a subtelomeric gene family, and produce accurate phased allelic sequences. Front Cell Infect Microbiol 2024; 14:1329438. [PMID: 38362496 PMCID: PMC10867151 DOI: 10.3389/fcimb.2024.1329438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 01/05/2024] [Indexed: 02/17/2024] Open
Abstract
Candida albicans SC5314 is the most-often used strain for molecular manipulation of the species. The SC5314 reference genome sequence is the result of considerable effort from many scientists and has advanced research into fungal biology and pathogenesis. Although the resource is highly developed and presented in a phased diploid format, the sequence includes gaps and does not extend to the telomeres on its eight chromosome pairs. Accurate SC5314 genome assembly is complicated by the presence of extensive repeated sequences and considerable allelic length variation at some loci. Advances in genome sequencing technology provide the tools to obtain highly accurate long-read data that span even the most-difficult-to-assemble genome regions. Here, we describe derivation of a PacBio HiFi data set and creation of a collapsed haploid telomere-to-telomere assembly of the SC5314 genome (ASM3268872v1) that revealed previously unknown features of the strain. ASM3268872v1 subtelomeric distances were up to 19 kb larger than in the reference genome and revealed a family of highly conserved DNA helicase-encoding genes at 10 of the 16 chromosome ends. We also describe alignments of individual HiFi reads to deduce accurate diploid sequences for the most notoriously difficult-to-assemble C. albicans genes: the agglutinin-like sequence (ALS) gene family. We provide a tutorial that demonstrates how the HiFi reads can be visualized to explore any region of interest. Availability of the HiFi reads data set and the ASM3268872v1 comparative guide assembly will streamline research efforts because accurate diploid sequences can be derived using simple in silico methods rather than time-consuming laboratory-bench approaches.
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Affiliation(s)
- Lois L. Hoyer
- Department of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Brian A. Freeman
- Department of Mathematics and Computational Sciences, Millikin University, Decatur, IL, United States
| | - Elizabeth K. Hogan
- Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Urbana, IL, United States
| | - Alvaro G. Hernandez
- Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Urbana, IL, United States
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10
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Tendolkar A, Mazo-Vargas A, Livraghi L, Hanly JJ, Van Horne KC, Gilbert LE, Martin A. Cis-regulatory modes of Ultrabithorax inactivation in butterfly forewings. eLife 2024; 12:RP90846. [PMID: 38261357 PMCID: PMC10945631 DOI: 10.7554/elife.90846] [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] [Indexed: 01/24/2024] Open
Abstract
Hox gene clusters encode transcription factors that drive regional specialization during animal development: for example the Hox factor Ubx is expressed in the insect metathoracic (T3) wing appendages and differentiates them from T2 mesothoracic identities. Hox transcriptional regulation requires silencing activities that prevent spurious activation and regulatory crosstalks in the wrong tissues, but this has seldom been studied in insects other than Drosophila, which shows a derived Hox dislocation into two genomic clusters that disjoined Antennapedia (Antp) and Ultrabithorax (Ubx). Here, we investigated how Ubx is restricted to the hindwing in butterflies, amidst a contiguous Hox cluster. By analysing Hi-C and ATAC-seq data in the butterfly Junonia coenia, we show that a Topologically Associated Domain (TAD) maintains a hindwing-enriched profile of chromatin opening around Ubx. This TAD is bordered by a Boundary Element (BE) that separates it from a region of joined wing activity around the Antp locus. CRISPR mutational perturbation of this BE releases ectopic Ubx expression in forewings, inducing homeotic clones with hindwing identities. Further mutational interrogation of two non-coding RNA encoding regions and one putative cis-regulatory module within the Ubx TAD cause rare homeotic transformations in both directions, indicating the presence of both activating and repressing chromatin features. We also describe a series of spontaneous forewing homeotic phenotypes obtained in Heliconius butterflies, and discuss their possible mutational basis. By leveraging the extensive wing specialization found in butterflies, our initial exploration of Ubx regulation demonstrates the existence of silencing and insulating sequences that prevent its spurious expression in forewings.
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Affiliation(s)
- Amruta Tendolkar
- Department of Biological Sciences, The George Washington UniversityWashington, DCUnited States
| | - Anyi Mazo-Vargas
- Department of Biological Sciences, The George Washington UniversityWashington, DCUnited States
| | - Luca Livraghi
- Department of Biological Sciences, The George Washington UniversityWashington, DCUnited States
| | - Joseph J Hanly
- Department of Biological Sciences, The George Washington UniversityWashington, DCUnited States
- Smithsonian Tropical Research InstitutePanama CityPanama
| | - Kelsey C Van Horne
- Department of Biological Sciences, The George Washington UniversityWashington, DCUnited States
| | - Lawrence E Gilbert
- Department of Integrative Biology, University of Texas – AustinAustinUnited States
| | - Arnaud Martin
- Department of Biological Sciences, The George Washington UniversityWashington, DCUnited States
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11
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Tseng YJ, Kageyama Y, Murdaugh RL, Kitano A, Kim JH, Hoegenauer KA, Tiessen J, Smith MH, Uryu H, Takahashi K, Martin JF, Samee MAH, Nakada D. Increased iron uptake by splenic hematopoietic stem cells promotes TET2-dependent erythroid regeneration. Nat Commun 2024; 15:538. [PMID: 38225226 PMCID: PMC10789814 DOI: 10.1038/s41467-024-44718-0] [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: 10/01/2021] [Accepted: 01/02/2024] [Indexed: 01/17/2024] Open
Abstract
Hematopoietic stem cells (HSCs) are capable of regenerating the blood system, but the instructive cues that direct HSCs to regenerate particular lineages lost to the injury remain elusive. Here, we show that iron is increasingly taken up by HSCs during anemia and induces erythroid gene expression and regeneration in a Tet2-dependent manner. Lineage tracing of HSCs reveals that HSCs respond to hemolytic anemia by increasing erythroid output. The number of HSCs in the spleen, but not bone marrow, increases upon anemia and these HSCs exhibit enhanced proliferation, erythroid differentiation, iron uptake, and TET2 protein expression. Increased iron in HSCs promotes DNA demethylation and expression of erythroid genes. Suppressing iron uptake or TET2 expression impairs erythroid genes expression and erythroid differentiation of HSCs; iron supplementation, however, augments these processes. These results establish that the physiological level of iron taken up by HSCs has an instructive role in promoting erythroid-biased differentiation of HSCs.
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Affiliation(s)
- Yu-Jung Tseng
- Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Yuki Kageyama
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Rebecca L Murdaugh
- Graduate Program in Developmental Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Ayumi Kitano
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jong Hwan Kim
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Kevin A Hoegenauer
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jonathan Tiessen
- Graduate Program in Developmental Biology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Mackenzie H Smith
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Hidetaka Uryu
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - James F Martin
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, 77030, USA
- Cardiomyocyte Renewal Laboratory, Texas Heart Institute, Houston, TX, 77030, USA
| | - Md Abul Hassan Samee
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Daisuke Nakada
- Graduate Program in Translational Biology and Molecular Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
- Graduate Program in Developmental Biology, Baylor College of Medicine, Houston, TX, 77030, USA.
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12
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Ghasemi DR, Okonechnikov K, Rademacher A, Tirier S, Maass KK, Schumacher H, Joshi P, Gold MP, Sundheimer J, Statz B, Rifaioglu AS, Bauer K, Schumacher S, Bortolomeazzi M, Giangaspero F, Ernst KJ, Clifford SC, Saez-Rodriguez J, Jones DTW, Kawauchi D, Fraenkel E, Mallm JP, Rippe K, Korshunov A, Pfister SM, Pajtler KW. Compartments in medulloblastoma with extensive nodularity are connected through differentiation along the granular precursor lineage. Nat Commun 2024; 15:269. [PMID: 38191550 PMCID: PMC10774372 DOI: 10.1038/s41467-023-44117-x] [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: 01/04/2023] [Accepted: 11/30/2023] [Indexed: 01/10/2024] Open
Abstract
Medulloblastomas with extensive nodularity are cerebellar tumors characterized by two distinct compartments and variable disease progression. The mechanisms governing the balance between proliferation and differentiation in MBEN remain poorly understood. Here, we employ a multi-modal single cell transcriptome analysis to dissect this process. In the internodular compartment, we identify proliferating cerebellar granular neuronal precursor-like malignant cells, along with stromal, vascular, and immune cells. In contrast, the nodular compartment comprises postmitotic, neuronally differentiated malignant cells. Both compartments are connected through an intermediate cell stage resembling actively migrating CGNPs. Notably, we also discover astrocytic-like malignant cells, found in proximity to migrating and differentiated cells at the transition zone between the two compartments. Our study sheds light on the spatial tissue organization and its link to the developmental trajectory, resulting in a more benign tumor phenotype. This integrative approach holds promise to explore intercompartmental interactions in other cancers with varying histology.
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Affiliation(s)
- David R Ghasemi
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, and Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Konstantin Okonechnikov
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Anne Rademacher
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Stephan Tirier
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
- Resolve BioSciences GmbH, Monheim am Rhein, Germany
| | - Kendra K Maass
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, and Immunology, Heidelberg University Hospital, Heidelberg, Germany
| | - Hanna Schumacher
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
| | - Piyush Joshi
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maxwell P Gold
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Julia Sundheimer
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Britta Statz
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ahmet S Rifaioglu
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
- Department of Electrical and Electronics Engineering, İskenderun Technical University, Hatay, Turkey
| | - Katharina Bauer
- Single-cell Open Lab, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sabrina Schumacher
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | | | - Felice Giangaspero
- Department of Radiological, Oncological and Anatomo-Pathological Sciences, Sapienza University of Rome, Rome, Italy
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Neuromed, Pozzilli, Italy
| | - Kati J Ernst
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Steven C Clifford
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, UK
| | - Julio Saez-Rodriguez
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
| | - David T W Jones
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daisuke Kawauchi
- Department of Biochemistry and Cellular Biology, National Center of Neurology and Psychiatry (NCNP), Tokyo, Japan
| | - Ernest Fraenkel
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
- Edythe Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jan-Philipp Mallm
- Single-cell Open Lab, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Karsten Rippe
- Division of Chromatin Networks, German Cancer Research Center (DKFZ) and Bioquant, Heidelberg, Germany
| | - Andrey Korshunov
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
- Department of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
- Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany.
| | - Stefan M Pfister
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Department of Pediatric Oncology, Hematology, and Immunology, Heidelberg University Hospital, Heidelberg, Germany.
| | - Kristian W Pajtler
- Hopp-Children's Cancer Center Heidelberg (KiTZ), Heidelberg, Germany.
- Division of Pediatric Neuro-oncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Department of Pediatric Oncology, Hematology, and Immunology, Heidelberg University Hospital, Heidelberg, Germany.
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13
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Chen SK, Hawley ZC, Zavodszky MI, Hana S, Ferretti D, Grubor B, Hawes M, Xu S, Hamann S, Marsh G, Cullen P, Challa R, Carlile TM, Zhang H, Lee WH, Peralta A, Clarner P, Wei C, Koszka K, Gao F, Lo SC. Efficacy and safety of a SOD1-targeting artificial miRNA delivered by AAV9 in mice are impacted by miRNA scaffold selection. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 34:102057. [PMID: 37928442 PMCID: PMC10622307 DOI: 10.1016/j.omtn.2023.102057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 10/12/2023] [Indexed: 11/07/2023]
Abstract
Toxic gain-of-function mutations in superoxide dismutase 1 (SOD1) contribute to approximately 2%-3% of all amyotrophic lateral sclerosis (ALS) cases. Artificial microRNAs (amiRs) delivered by adeno-associated virus (AAV) have been proposed as a potential treatment option to silence SOD1 expression and mitigate disease progression. Primary microRNA (pri-miRNA) scaffolds are used in amiRs to shuttle a hairpin RNA into the endogenous miRNA pathway, but it is unclear whether different primary miRNA (pri-miRNA) scaffolds impact the potency and safety profile of the expressed amiR in vivo. In our process to develop an AAV amiR targeting SOD1, we performed a preclinical characterization of two pri-miRNA scaffolds, miR155 and miR30a, sharing the same guide strand sequence. We report that, while the miR155-based vector, compared with the miR30a-based vector, leads to a higher level of the amiR and more robust suppression of SOD1 in vitro and in vivo, it also presents significantly greater risks for CNS-related toxicities in vivo. Despite miR30a-based vector showing relatively lower potency, it can significantly delay the development of ALS-like phenotypes in SOD1-G93A mice and increase survival in a dose-dependent manner. These data highlight the importance of scaffold selection in the pursuit of highly efficacious and safe amiRs for RNA interference gene therapy.
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14
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Yu Q, Walters HE, Pasquini G, Pal Singh S, Lachnit M, Oliveira CR, León-Periñán D, Petzold A, Kesavan P, Subiran Adrados C, Garteizgogeascoa I, Knapp D, Wagner A, Bernardos A, Alfonso M, Nadar G, Graf AM, Troyanovskiy KE, Dahl A, Busskamp V, Martínez-Máñez R, Yun MH. Cellular senescence promotes progenitor cell expansion during axolotl limb regeneration. Dev Cell 2023; 58:2416-2427.e7. [PMID: 37879337 DOI: 10.1016/j.devcel.2023.09.009] [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: 08/04/2022] [Revised: 04/25/2023] [Accepted: 09/29/2023] [Indexed: 10/27/2023]
Abstract
Axolotl limb regeneration is accompanied by the transient induction of cellular senescence within the blastema, the structure that nucleates regeneration. The precise role of this blastemal senescent cell (bSC) population, however, remains unknown. Here, through a combination of gain- and loss-of-function assays, we elucidate the functions and molecular features of cellular senescence in vivo. We demonstrate that cellular senescence plays a positive role during axolotl regeneration by creating a pro-proliferative niche that supports progenitor cell expansion and blastema outgrowth. Senescent cells impact their microenvironment via Wnt pathway modulation. Further, we identify a link between Wnt signaling and senescence induction and propose that bSC-derived Wnt signals facilitate the proliferation of neighboring cells in part by preventing their induction into senescence. This work defines the roles of cellular senescence in the regeneration of complex structures.
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Affiliation(s)
- Qinghao Yu
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Hannah E Walters
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Giovanni Pasquini
- Department of Ophthalmology, Medical Faculty, University of Bonn, Bonn, Germany
| | | | - Martina Lachnit
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Catarina R Oliveira
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Daniel León-Periñán
- Technische Universität Dresden, Center for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, Dresden, Germany
| | - Andreas Petzold
- DRESDEN-Concept Genome Center (DcGC), Center for Molecular and Cellular Bioengineering, TU Dresden, Dresden, Germany
| | - Preethi Kesavan
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Cristina Subiran Adrados
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | | | - Dunja Knapp
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Anne Wagner
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Andrea Bernardos
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain; Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
| | - María Alfonso
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Valencia, Spain
| | - Gayathri Nadar
- Max Planck Institute of Molecular Cellular Biology and Genetics, Dresden, Germany
| | - Alwin M Graf
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany
| | | | - Andreas Dahl
- DRESDEN-Concept Genome Center (DcGC), Center for Molecular and Cellular Bioengineering, TU Dresden, Dresden, Germany
| | - Volker Busskamp
- Department of Ophthalmology, Medical Faculty, University of Bonn, Bonn, Germany
| | - Ramón Martínez-Máñez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València, Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores, Universitat Politècnica de València, IIS La Fe, Valencia, Spain; Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
| | - Maximina H Yun
- Technische Universität Dresden, CRTD/Center for Regenerative Therapies Dresden, Dresden, Germany; Max Planck Institute of Molecular Cellular Biology and Genetics, Dresden, Germany; Physics of Life Excellence Cluster, Dresden, Germany.
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15
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Meng Z, Rodriguez Ehrenfried A, Tan CL, Steffens LK, Kehm H, Zens S, Lauenstein C, Paul A, Schwab M, Förster JD, Salek M, Riemer AB, Wu H, Eckert C, Leonhardt CS, Strobel O, Volkmar M, Poschke I, Offringa R. Transcriptome-based identification of tumor-reactive and bystander CD8 + T cell receptor clonotypes in human pancreatic cancer. Sci Transl Med 2023; 15:eadh9562. [PMID: 37967201 DOI: 10.1126/scitranslmed.adh9562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 10/16/2023] [Indexed: 11/17/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is generally refractory to immune checkpoint blockade, although patients with genetically unstable tumors can show modest therapeutic benefit. We previously demonstrated the presence of tumor-reactive CD8+ T cells in PDAC samples. Here, we charted the tumor-infiltrating T cell repertoire in PDAC by combining single-cell transcriptomics with functional testing of T cell receptors (TCRs) for reactivity against autologous tumor cells. On the basis of a comprehensive dataset including 93 tumor-reactive and 65 bystander TCR clonotypes, we delineated a gene signature that effectively distinguishes between these T cell subsets in PDAC, as well as in other tumor indications. This revealed a high frequency of tumor-reactive TCR clonotypes in three genetically unstable samples. In contrast, the T cell repertoire in six genetically stable PDAC tumors was largely dominated by bystander T cells. Nevertheless, multiple tumor-reactive TCRs were successfully identified in each of these samples, thereby providing a perspective for personalized immunotherapy in this treatment-resistant indication.
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Affiliation(s)
- Zibo Meng
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Sino-German Laboratory of Personalized Medicine for Pancreatic Cancer, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
| | - Aaron Rodriguez Ehrenfried
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Helmholtz-Institute for Translational Oncology by DKFZ (HI-TRON), 55131 Mainz, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Chin Leng Tan
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Laura K Steffens
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Hannes Kehm
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Stefan Zens
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Claudia Lauenstein
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Alina Paul
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Marius Schwab
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Jonas D Förster
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
- Division of Immunotherapy & Immunoprevention, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, 69120 Heidelberg, Germany
| | - Mogjiborahman Salek
- Division of Immunotherapy & Immunoprevention, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, 69120 Heidelberg, Germany
| | - Angelika B Riemer
- Division of Immunotherapy & Immunoprevention, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Vaccine Design, German Center for Infection Research (DZIF), partner site Heidelberg, 69120 Heidelberg, Germany
| | - Heshui Wu
- Sino-German Laboratory of Personalized Medicine for Pancreatic Cancer, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
- Department of Pancreatic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
| | - Christoph Eckert
- Pathology Institute, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Carl-Stephan Leonhardt
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Oliver Strobel
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Michael Volkmar
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Helmholtz-Institute for Translational Oncology by DKFZ (HI-TRON), 55131 Mainz, Germany
| | - Isabel Poschke
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, 69120 Heidelberg, Germany
- Immune Monitoring Unit, National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Rienk Offringa
- Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, 69120 Heidelberg, Germany
- Sino-German Laboratory of Personalized Medicine for Pancreatic Cancer, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022 Wuhan, China
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16
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Mee L, Barribeau SM. Influence of social lifestyles on host-microbe symbioses in the bees. Ecol Evol 2023; 13:e10679. [PMID: 37928198 PMCID: PMC10620586 DOI: 10.1002/ece3.10679] [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: 09/06/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/07/2023] Open
Abstract
Microbiomes are increasingly recognised as critical for the health of an organism. In eusocial insect societies, frequent social interactions allow for high-fidelity transmission of microbes across generations, leading to closer host-microbe coevolution. The microbial communities of bees with other social lifestyles are less studied, and few comparisons have been made between taxa that vary in social structure. To address this gap, we leveraged a cloud-computing resource and publicly available transcriptomic data to conduct a survey of microbial diversity in bee samples from a variety of social lifestyles and taxa. We consistently recover the core microbes of well-studied corbiculate bees, supporting this method's ability to accurately characterise microbial communities. We find that the bacterial communities of bees are influenced by host location, phylogeny and social lifestyle, although no clear effect was found for fungal or viral microbial communities. Bee genera with more complex societies tend to harbour more diverse microbes, with Wolbachia detected more commonly in solitary tribes. We present a description of the microbiota of Euglossine bees and find that they do not share the "corbiculate core" microbiome. Notably, we find that bacteria with known anti-pathogenic properties are present across social bee genera, suggesting that symbioses that enhance host immunity are important with higher sociality. Our approach provides an inexpensive means of exploring microbiomes of a given taxa and identifying avenues for further research. These findings contribute to our understanding of the relationships between bees and their associated microbial communities, highlighting the importance of considering microbiome dynamics in investigations of bee health.
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Affiliation(s)
- Lauren Mee
- Institute of Infection, Veterinary and Ecological Sciences, Department of Evolution, Ecology and BehaviourUniversity of LiverpoolLiverpoolUK
| | - Seth M. Barribeau
- Institute of Infection, Veterinary and Ecological Sciences, Department of Evolution, Ecology and BehaviourUniversity of LiverpoolLiverpoolUK
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17
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Diaz-Ortiz ME, Jain N, Gallagher MD, Posavi M, Unger TL, Chen-Plotkin AS. Testing for Allele-specific Expression from Human Brain Samples. Bio Protoc 2023; 13:e4832. [PMID: 37817908 PMCID: PMC10560631 DOI: 10.21769/bioprotoc.4832] [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: 01/28/2023] [Revised: 07/16/2023] [Accepted: 07/17/2023] [Indexed: 10/12/2023] Open
Abstract
Many single nucleotide polymorphisms (SNPs) identified by genome-wide association studies exert their effects on disease risk as expression quantitative trait loci (eQTL) via allele-specific expression (ASE). While databases for probing eQTLs in tissues from normal individuals exist, one may wish to ascertain eQTLs or ASE in specific tissues or disease-states not characterized in these databases. Here, we present a protocol to assess ASE of two possible target genes (GPNMB and KLHL7) of a known genome-wide association study (GWAS) Parkinson's disease (PD) risk locus in postmortem human brain tissue from PD and neurologically normal individuals. This was done using a sequence of RNA isolation, cDNA library generation, enrichment for transcripts of interest using customizable cDNA capture probes, paired-end RNA sequencing, and subsequent analysis. This method provides increased sensitivity relative to traditional bulk RNAseq-based and a blueprint that can be extended to the study of other genes, tissues, and disease states. Key features • Analysis of GPNMB allele-specific expression (ASE) in brain lysates from cognitively normal controls (NC) and Parkinson's disease (PD) individuals. • Builds on the ASE protocol of Mayba et al. (2014) and extends application from cells to human tissue. • Increased sensitivity by enrichment for desired transcript via RNA CaptureSeq (Mercer et al., 2014). • Optimized for human brain lysates from cingulate gyrus, caudate nucleus, and cerebellum.
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Affiliation(s)
- Maria E Diaz-Ortiz
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nimansha Jain
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer Disease, Research Center, Washington University, St. Louis, MO, USA
| | | | - Marijan Posavi
- Department of Biology, University of New Mexico, Albuquerque, NM, USA
| | - Travis L Unger
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Alice S Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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18
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Payá-Milans M, Peña-Chilet M, Loucera C, Esteban-Medina M, Dopazo J. Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models. Int J Mol Sci 2023; 24:14732. [PMID: 37834179 PMCID: PMC10572617 DOI: 10.3390/ijms241914732] [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: 08/10/2023] [Revised: 09/08/2023] [Accepted: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
Soft tissue sarcoma is an umbrella term for a group of rare cancers that are difficult to treat. In addition to surgery, neoadjuvant chemotherapy has shown the potential to downstage tumors and prevent micrometastases. However, finding effective therapeutic targets remains a research challenge. Here, a previously developed computational approach called mechanistic models of signaling pathways has been employed to unravel the impact of observed changes at the gene expression level on the ultimate functional behavior of cells. In the context of such a mechanistic model, RNA-Seq counts sourced from the Recount3 resource, from The Cancer Genome Atlas (TCGA) Sarcoma project, and non-diseased sarcomagenic tissues from the Genotype-Tissue Expression (GTEx) project were utilized to investigate signal transduction activity through signaling pathways. This approach provides a precise view of the relationship between sarcoma patient survival and the signaling landscape in tumors and their environment. Despite the distinct regulatory alterations observed in each sarcoma subtype, this study identified 13 signaling circuits, or elementary sub-pathways triggering specific cell functions, present across all subtypes, belonging to eight signaling pathways, which served as predictors for patient survival. Additionally, nine signaling circuits from five signaling pathways that highlighted the modifications tumor samples underwent in comparison to normal tissues were found. These results describe the protective role of the immune system, suggesting an anti-tumorigenic effect in the tumor microenvironment, in the process of tumor cell detachment and migration, or the dysregulation of ion homeostasis. Also, the analysis of signaling circuit intermediary proteins suggests multiple strategies for therapy.
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Affiliation(s)
- Miriam Payá-Milans
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain; (M.P.-M.); (M.P.-C.); (C.L.); (M.E.-M.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocío, 41013 Seville, Spain
- Institute of Biomedicine of Seville, IBiS/University Hospital Virgen del Rocío/CSIC/University of Sevilla, 41013 Sevilla, Spain
| | - María Peña-Chilet
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain; (M.P.-M.); (M.P.-C.); (C.L.); (M.E.-M.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocío, 41013 Seville, Spain
- Institute of Biomedicine of Seville, IBiS/University Hospital Virgen del Rocío/CSIC/University of Sevilla, 41013 Sevilla, Spain
| | - Carlos Loucera
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain; (M.P.-M.); (M.P.-C.); (C.L.); (M.E.-M.)
- Institute of Biomedicine of Seville, IBiS/University Hospital Virgen del Rocío/CSIC/University of Sevilla, 41013 Sevilla, Spain
| | - Marina Esteban-Medina
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain; (M.P.-M.); (M.P.-C.); (C.L.); (M.E.-M.)
- Institute of Biomedicine of Seville, IBiS/University Hospital Virgen del Rocío/CSIC/University of Sevilla, 41013 Sevilla, Spain
| | - Joaquín Dopazo
- Computational Medicine Platform, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain; (M.P.-M.); (M.P.-C.); (C.L.); (M.E.-M.)
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocío, 41013 Seville, Spain
- Institute of Biomedicine of Seville, IBiS/University Hospital Virgen del Rocío/CSIC/University of Sevilla, 41013 Sevilla, Spain
- FPS/ELIXIR-ES, Fundación Progreso y Salud (FPS), CDCA, Hospital Virgen del Rocío, 41013 Sevilla, Spain
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19
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Puppo M, Valluru MK, Croset M, Ceresa D, Iuliani M, Khan A, Wicinski J, Charafe-Jauffret E, Ginestier C, Pantano F, Ottewell PD, Clézardin P. MiR-662 is associated with metastatic relapse in early-stage breast cancer and promotes metastasis by stimulating cancer cell stemness. Br J Cancer 2023; 129:754-771. [PMID: 37443350 PMCID: PMC10449914 DOI: 10.1038/s41416-023-02340-9] [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: 09/28/2022] [Revised: 06/01/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Breast cancer (BC) metastasis, which often occurs in bone, contributes substantially to mortality. MicroRNAs play a fundamental role in BC metastasis, although microRNA-regulated mechanisms driving metastasis progression remain poorly understood. METHODS MiRome analysis in serum from BC patients was performed by TaqMan™ low-density array. MiR-662 was overexpressed following MIMIC-transfection or lentivirus transduction. Animal models were used to investigate the role of miR-662 in BC (bone) metastasis. The effect of miR-662-overexpressing BC cell conditioned medium on osteoclastogenesis was investigated. ALDEFLUOR assays were performed to study BC stemness. RNA-sequencing transcriptomic analysis of miR-662-overexpressing BC cells was performed to evaluate gene expression changes. RESULTS High levels of hsa-miR-662 (miR-662) in serum from BC patients, at baseline (time of surgery), were associated with future recurrence in bone. At an early-stage of the metastatic disease, miR-662 could mask the presence of BC metastases in bone by inhibiting the differentiation of bone-resorbing osteoclasts. Nonetheless, metastatic miR-662-overexpressing BC cells then progressed as overt osteolytic metastases thanks to increased stem cell-like traits. CONCLUSIONS MiR-662 is involved in BC metastasis progression, suggesting it may be used as a prognostic marker to identify BC patients at high risk of metastasis.
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Affiliation(s)
- Margherita Puppo
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK.
- INSERM, Research Unit UMR_S1033, LyOS, Faculty of Medicine Lyon-Est, Lyon, France.
- Univ Lyon, Université Claude Bernard Lyon 1, F-69008, Lyon, France.
| | - Manoj Kumar Valluru
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK
- Department of Infection, Immunity and Cardiovascular, Medical School, University of Sheffield, Sheffield, UK
| | - Martine Croset
- INSERM, Research Unit UMR_S1033, LyOS, Faculty of Medicine Lyon-Est, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, F-69008, Lyon, France
- INSERM U1052, CNRS UMR_5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, Lyon, France
| | - Davide Ceresa
- IRCCS AOU San Martino, Università degli studi di Genova, Genova, Italy
| | - Michele Iuliani
- Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo 200, 00128, Roma, Italy
- Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, 00128, Roma, Italy
| | - Ashrin Khan
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK
| | - Julien Wicinski
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Epithelial Stem Cells and Cancer Lab, "Equipe labellisée Ligue Contre le Cancer", Marseille, France
| | - Emmanuelle Charafe-Jauffret
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Epithelial Stem Cells and Cancer Lab, "Equipe labellisée Ligue Contre le Cancer", Marseille, France
| | - Christophe Ginestier
- Aix-Marseille Univ, Inserm, CNRS, Institut Paoli-Calmettes, CRCM, Epithelial Stem Cells and Cancer Lab, "Equipe labellisée Ligue Contre le Cancer", Marseille, France
| | - Francesco Pantano
- Medical Oncology, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo 200, 00128, Roma, Italy
- Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo 21, 00128, Roma, Italy
| | - Penelope Dawn Ottewell
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK
| | - Philippe Clézardin
- Department of Oncology and Metabolism, Medical School, University of Sheffield, Sheffield, UK.
- INSERM, Research Unit UMR_S1033, LyOS, Faculty of Medicine Lyon-Est, Lyon, France.
- Univ Lyon, Université Claude Bernard Lyon 1, F-69008, Lyon, France.
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20
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Krupp S, Hubbard I, Tam O, Hammell GM, Dubnau J. TDP-43 pathology in Drosophila induces glial-cell type specific toxicity that can be ameliorated by knock-down of SF2/SRSF1. PLoS Genet 2023; 19:e1010973. [PMID: 37747929 PMCID: PMC10553832 DOI: 10.1371/journal.pgen.1010973] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/05/2023] [Accepted: 09/13/2023] [Indexed: 09/27/2023] Open
Abstract
Accumulation of cytoplasmic inclusions of TAR-DNA binding protein 43 (TDP-43) is seen in both neurons and glia in a range of neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Alzheimer's disease (AD). Disease progression involves non-cell autonomous interactions among multiple cell types, including neurons, microglia and astrocytes. We investigated the effects in Drosophila of inducible, glial cell type-specific TDP-43 overexpression, a model that causes TDP-43 protein pathology including loss of nuclear TDP-43 and accumulation of cytoplasmic inclusions. We report that TDP-43 pathology in Drosophila is sufficient to cause progressive loss of each of the 5 glial sub-types. But the effects on organismal survival were most pronounced when TDP-43 pathology was induced in the perineural glia (PNG) or astrocytes. In the case of PNG, this effect is not attributable to loss of the glial population, because ablation of these glia by expression of pro-apoptotic reaper expression has relatively little impact on survival. To uncover underlying mechanisms, we used cell-type-specific nuclear RNA sequencing to characterize the transcriptional changes induced by pathological TDP-43 expression. We identified numerous glial cell-type specific transcriptional changes. Notably, SF2/SRSF1 levels were found to be decreased in both PNG and in astrocytes. We found that further knockdown of SF2/SRSF1 in either PNG or astrocytes lessens the detrimental effects of TDP-43 pathology on lifespan, but extends survival of the glial cells. Thus TDP-43 pathology in astrocytes or PNG causes systemic effects that shorten lifespan and SF2/SRSF1 knockdown rescues the loss of these glia, and also reduces their systemic toxicity to the organism.
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Affiliation(s)
- Sarah Krupp
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, New York, United States of America
| | - Isabel Hubbard
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, New York, United States of America
| | - Oliver Tam
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Gale M. Hammell
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Josh Dubnau
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, New York, United States of America
- Department of Anesthesiology, Stony Brook School of Medicine, New York, United States of America
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21
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Blondeau-Bidet E, Banousse G, L'Honoré T, Farcy E, Cosseau C, Lorin-Nebel C. The role of salinity on genome-wide DNA methylation dynamics in European sea bass gills. Mol Ecol 2023; 32:5089-5109. [PMID: 37526137 DOI: 10.1111/mec.17089] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 07/18/2023] [Accepted: 07/20/2023] [Indexed: 08/02/2023]
Abstract
Epigenetic modifications, like DNA methylation, generate phenotypic diversity in fish and ultimately lead to adaptive evolutionary processes. Euryhaline marine species that migrate between salinity-contrasted habitats have received little attention regarding the role of salinity on whole-genome DNA methylation. Investigation of salinity-induced DNA methylation in fish will help to better understand the potential role of this process in salinity acclimation. Using whole-genome bisulfite sequencing, we compared DNA methylation patterns in European sea bass (Dicentrarchus labrax) juveniles in seawater and after freshwater transfer. We targeted the gill as a crucial organ involved in plastic responses to environmental changes. To investigate the function of DNA methylation in gills, we performed RNAseq and assessed DNA methylome-transcriptome correlations. We showed a negative correlation between gene expression levels and DNA methylation levels in promoters, first introns and first exons. A significant effect of salinity on DNA methylation dynamics with an overall DNA hypomethylation in freshwater-transferred fish compared to seawater controls was demonstrated. This suggests a role of DNA methylation changes in salinity acclimation. Genes involved in key functions as metabolism, ion transport and transepithelial permeability (junctional complexes) were differentially methylated and expressed between salinity conditions. Expression of genes involved in mitochondrial metabolism (tricarboxylic acid cycle) was increased, whereas the expression of DNA methyltransferases 3a was repressed. This study reveals novel links between DNA methylation, mainly in promoters and first exons/introns, and gene expression patterns following salinity change.
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Affiliation(s)
| | | | - Thibaut L'Honoré
- MARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | - Emilie Farcy
- MARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, Montpellier, France
| | - Céline Cosseau
- IHPE, Université Montpellier, CNRS, Ifremer, University of Perpignan Via Domitia, Perpignan, France
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22
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Ceresa D, Alessandrini F, Lucchini S, Marubbi D, Piaggio F, Mena Vera JM, Ceccherini I, Reverberi D, Appolloni I, Malatesta P. Early clonal extinction in glioblastoma progression revealed by genetic barcoding. Cancer Cell 2023; 41:1466-1479.e9. [PMID: 37541243 DOI: 10.1016/j.ccell.2023.07.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/23/2023] [Accepted: 07/07/2023] [Indexed: 08/06/2023]
Abstract
Glioblastoma progression in its early stages remains poorly understood. Here, we transfer PDGFB and genetic barcodes in mouse brain to initiate gliomagenesis and enable direct tracing of glioblastoma evolution from its earliest possible stage. Unexpectedly, we observe a high incidence of clonal extinction events and progressive divergence in clonal sizes, even after the acquisition of malignant phenotype. Computational modeling suggests these dynamics result from clonal-based cell-cell competition. Through bulk and single-cell transcriptome analyses, coupled with lineage tracing, we reveal that Myc transcriptional targets have the strongest correlation with clonal size imbalances. Moreover, we show that the downregulation of Myc expression is sufficient to drive competitive dynamics in intracranially transplanted gliomas. Our findings provide insights into glioblastoma evolution that are inaccessible using conventional retrospective approaches, highlighting the potential of combining clonal tracing and transcriptomic analyses in this field.
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Affiliation(s)
- Davide Ceresa
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Francesco Alessandrini
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy
| | - Sara Lucchini
- Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy
| | - Daniela Marubbi
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy
| | | | - Jorge Miguel Mena Vera
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy
| | - Isabella Ceccherini
- Laboratory of Genetics and Genomics of Rare Diseases, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy
| | | | - Irene Appolloni
- Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy
| | - Paolo Malatesta
- IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy.
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23
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Smith BR, Patch KB, Gupta A, Knoles EM, Unckless RL. The genetic basis of variation in immune defense against Lysinibacillus fusiformis infection in Drosophila melanogaster. PLoS Pathog 2023; 19:e1010934. [PMID: 37549163 PMCID: PMC10434897 DOI: 10.1371/journal.ppat.1010934] [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: 10/18/2022] [Revised: 08/17/2023] [Accepted: 06/29/2023] [Indexed: 08/09/2023] Open
Abstract
The genetic causes of phenotypic variation often differ depending on the population examined, particularly if the populations were founded by relatively small numbers of genotypes. Similarly, the genetic causes of phenotypic variation among similar traits (resistance to different xenobiotic compounds or pathogens) may also be completely different or only partially overlapping. Differences in genetic causes for variation in the same trait among populations suggests context dependence for how selection acts on those traits. Similarities in the genetic causes of variation for different traits, on the other hand, suggests pleiotropy which would also influence how natural selection shapes variation in a trait. We characterized immune defense against a natural Drosophila pathogen, the Gram-positive bacterium Lysinibacillus fusiformis, in three different populations and found almost no overlap in the genetic architecture of variation in survival post infection. However, when comparing our results to a similar experiment with the fungal pathogen, B. bassiana, we found a convincing shared QTL peak for both pathogens. This peak contains the Bomanin cluster of Drosophila immune effectors. Loss of function mutants and RNAi knockdown experiments confirms a role of some of these genes in immune defense against both pathogens. This suggests that natural selection may act on the entire cluster of Bomanin genes (and the linked region under the QTL) or specific peptides for specific pathogens.
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Affiliation(s)
- Brittny R. Smith
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
| | - Kistie B. Patch
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
| | - Anjali Gupta
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
| | - Emma M. Knoles
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
| | - Robert L. Unckless
- Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas, United States of America
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24
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Krupp S, Tam O, Hammell MG, Dubnau J. TDP-43 pathology in Drosophila induces glial-cell type specific toxicity that can be ameliorated by knock-down of SF2/SRSF1. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.04.539439. [PMID: 37205372 PMCID: PMC10187300 DOI: 10.1101/2023.05.04.539439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Accumulation of cytoplasmic inclusions of TAR-DNA binding protein 43 (TDP-43) is seen in both neurons and glia in a range of neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD) and Alzheimer's disease (AD). Disease progression involves non-cell autonomous interactions among multiple cell types, including neurons, microglia and astrocytes. We investigated the effects in Drosophila of inducible, glial cell type-specific TDP-43 overexpression, a model that causes TDP-43 protein pathology including loss of nuclear TDP-43 and accumulation of cytoplasmic inclusions. We report that TDP-43 pathology in Drosophila is sufficient to cause progressive loss of each of the 5 glial sub-types. But the effects on organismal survival were most pronounced when TDP-43 pathology was induced in the perineural glia (PNG) or astrocytes. In the case of PNG, this effect is not attributable to loss of the glial population, because ablation of these glia by expression of pro-apoptotic reaper expression has relatively little impact on survival. To uncover underlying mechanisms, we used cell-type-specific nuclear RNA sequencing to characterize the transcriptional changes induced by pathological TDP-43 expression. We identified numerous glial cell-type specific transcriptional changes. Notably, SF2/SRSF1 levels were found to be decreased in both PNG and in astrocytes. We found that further knockdown of SF2/SRSF1 in either PNG or astrocytes lessens the detrimental effects of TDP-43 pathology on lifespan, but extends survival of the glial cells. Thus TDP-43 pathology in astrocytes or PNG causes systemic effects that shorten lifespan and SF2/SRSF1 knockdown rescues the loss of these glia, and also reduces their systemic toxicity to the organism.
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Affiliation(s)
- S. Krupp
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, NY 11794, USA
| | - O Tam
- Cold Spring Harbor Laboratory, 1 Bungtown road, Cold Spring Harbor, NY.,11794
| | - M Gale Hammell
- Cold Spring Harbor Laboratory, 1 Bungtown road, Cold Spring Harbor, NY.,11794
| | - J Dubnau
- Program in Neuroscience, Department of Neurobiology and Behavior, Stony Brook University, NY 11794, USA
- Department of Anesthesiology, Stony Brook School of Medicine, NY 11794, USA
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25
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Fisher WW, Hammonds AS, Weiszmann R, Booth BW, Gevirtzman L, Patton JEJ, Kubo CA, Waterston RH, Celniker SE. A modERN resource: identification of Drosophila transcription factor candidate target genes using RNAi. Genetics 2023; 223:iyad004. [PMID: 36652461 PMCID: PMC10078917 DOI: 10.1093/genetics/iyad004] [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: 11/18/2022] [Revised: 11/18/2022] [Accepted: 12/22/2022] [Indexed: 01/19/2023] Open
Abstract
Transcription factors (TFs) play a key role in development and in cellular responses to the environment by activating or repressing the transcription of target genes in precise spatial and temporal patterns. In order to develop a catalog of target genes of Drosophila melanogaster TFs, the modERN consortium systematically knocked down the expression of TFs using RNAi in whole embryos followed by RNA-seq. We generated data for 45 TFs which have 18 different DNA-binding domains and are expressed in 15 of the 16 organ systems. The range of inactivation of the targeted TFs by RNAi ranged from log2fold change -3.52 to +0.49. The TFs also showed remarkable heterogeneity in the numbers of candidate target genes identified, with some generating thousands of candidates and others only tens. We present detailed analysis from five experiments, including those for three TFs that have been the focus of previous functional studies (ERR, sens, and zfh2) and two previously uncharacterized TFs (sens-2 and CG32006), as well as short vignettes for selected additional experiments to illustrate the utility of this resource. The RNA-seq datasets are available through the ENCODE DCC (http://encodeproject.org) and the Sequence Read Archive (SRA). TF and target gene expression patterns can be found here: https://insitu.fruitfly.org. These studies provide data that facilitate scientific inquiries into the functions of individual TFs in key developmental, metabolic, defensive, and homeostatic regulatory pathways, as well as provide a broader perspective on how individual TFs work together in local networks during embryogenesis.
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Affiliation(s)
- William W Fisher
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Ann S Hammonds
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Richard Weiszmann
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Benjamin W Booth
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Louis Gevirtzman
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Jaeda E J Patton
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Connor A Kubo
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Robert H Waterston
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Susan E Celniker
- Division of Biological Systems and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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26
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García-Ruiz S, Zhang D, Gustavsson EK, Rocamora-Perez G, Grant-Peters M, Fairbrother-Browne A, Reynolds RH, Brenton JW, Gil-Martínez AL, Chen Z, Rio DC, Botia JA, Guelfi S, Collado-Torres L, Ryten M. Splicing accuracy varies across human introns, tissues and age. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.29.534370. [PMID: 37034741 PMCID: PMC10081249 DOI: 10.1101/2023.03.29.534370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Alternative splicing impacts most multi-exonic human genes. Inaccuracies during this process may have an important role in ageing and disease. Here, we investigated mis-splicing using RNA-sequencing data from ~14K control samples and 42 human body sites, focusing on split reads partially mapping to known transcripts in annotation. We show that mis-splicing occurs at different rates across introns and tissues and that these splicing inaccuracies are primarily affected by the abundance of core components of the spliceosome assembly and its regulators. Using publicly available data on short-hairpin RNA-knockdowns of numerous spliceosomal components and related regulators, we found support for the importance of RNA-binding proteins in mis-splicing. We also demonstrated that age is positively correlated with mis-splicing, and it affects genes implicated in neurodegenerative diseases. This in-depth characterisation of mis-splicing can have important implications for our understanding of the role of splicing inaccuracies in human disease and the interpretation of long-read RNA-sequencing data.
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Affiliation(s)
- S García-Ruiz
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - D Zhang
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
| | - E K Gustavsson
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - G Rocamora-Perez
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
| | - M Grant-Peters
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - A Fairbrother-Browne
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
- Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London, UK
| | - R H Reynolds
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - J W Brenton
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
| | - A L Gil-Martínez
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London, UK
| | - Z Chen
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London, UK
| | - D C Rio
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA
- California Institute for Quantitative Biosciences, University of California, Berkeley, CA 94720, USA
| | - J A Botia
- Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain
| | - S Guelfi
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- Verge Genomics, South San Francisco, CA, 94080, USA
| | - L Collado-Torres
- Lieber Institute for Brain Development, Baltimore, MD, USA , 21205
| | - M Ryten
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK
- Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815
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27
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Song WM, Chia PL, Zhou X, Walsh M, Silva J, Zhang B. Pseudo-temporal dynamics of chemoresistant triple negative breast cancer cells reveal EGFR/HER2 inhibition as synthetic lethal during mid-neoadjuvant chemotherapy. iScience 2023; 26:106064. [PMID: 36824282 PMCID: PMC9942122 DOI: 10.1016/j.isci.2023.106064] [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: 09/01/2022] [Revised: 10/17/2022] [Accepted: 01/23/2023] [Indexed: 01/29/2023] Open
Abstract
In the absence of targetable hormonal axes, chemoresistance for triple-negative breast cancer (TNBC) often compromises patient outcomes. To investigate the underlying tumor dynamics, we performed trajectory analysis on the single-nuclei RNA-seq (snRNA-seq) of chemoresistant tumor clones during neoadjuvant chemotherapy (NAC). It revealed a common tumor trajectory across multiple patients with HER2-like expansions during NAC. Genome-wide CRISPR-Cas9 knock-out on mammary epithelial cells revealed chemosensitivity-promoting knock-outs were up-regulated along the tumor trajectory. Furthermore, we derived a consensus gene signature of TNBC chemoresistance by comparing the trajectory transcriptome with chemoresistant transcriptomes from TNBC cell lines and poor prognosis patient samples to predict FDA-approved drugs, including afatinib (pan-HER inhibitor), targeting the consensus signature. We validated the synergistic efficacy of afatinib and paclitaxel in chemoresistant TNBC cells and confirmed pharmacological suppression of the consensus signature. The study provides a dynamic model of chemoresistant tumor transcriptome, and computational framework for pharmacological intervention.
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Affiliation(s)
- Won-Min Song
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Pei-Ling Chia
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Institute of Molecular and Cell Biology, Agency for Science, Technology, and Research (A∗STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Singapore
| | - Xianxiao Zhou
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Martin Walsh
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Jose Silva
- Department of Pathology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Bin Zhang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
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28
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Massimino L, Barchi A, Mandarino FV, Spanò S, Lamparelli LA, Vespa E, Passaretti S, Peyrin-Biroulet L, Savarino EV, Jairath V, Ungaro F, Danese S. A multi-omic analysis reveals the esophageal dysbiosis as the predominant trait of eosinophilic esophagitis. J Transl Med 2023; 21:46. [PMID: 36698146 PMCID: PMC9875471 DOI: 10.1186/s12967-023-03898-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/17/2023] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Eosinophilic esophagitis (EoE) is a chronic immune-mediated rare disease, characterized by esophageal dysfunctions. It is likely to be primarily activated by food antigens and is classified as a chronic disease for most patients. Therefore, a deeper understanding of the pathogenetic mechanisms underlying EoE is needed to implement and improve therapeutic lines of intervention and ameliorate overall patient wellness. METHODS RNA-seq data of 18 different studies on EoE, downloaded from NCBI GEO with faster-qdump ( https://github.com/ncbi/sra-tools ), were batch-corrected and analyzed for transcriptomics and metatranscriptomics profiling as well as biological process functional enrichment. The EoE TaMMA web app was designed with plotly and dash. Tabula Sapiens raw data were downloaded from the UCSC Cell Browser. Esophageal single-cell raw data analysis was performed within the Automated Single-cell Analysis Pipeline. Single-cell data-driven bulk RNA-seq data deconvolution was performed with MuSiC and CIBERSORTx. Multi-omics integration was performed with MOFA. RESULTS The EoE TaMMA framework pointed out disease-specific molecular signatures, confirming its reliability in reanalyzing transcriptomic data, and providing new EoE-specific molecular markers including CXCL14, distinguishing EoE from gastroesophageal reflux disorder. EoE TaMMA also revealed microbiota dysbiosis as a predominant characteristic of EoE pathogenesis. Finally, the multi-omics analysis highlighted the presence of defined classes of microbial entities in subsets of patients that may participate in inducing the antigen-mediated response typical of EoE pathogenesis. CONCLUSIONS Our study showed that the complex EoE molecular network may be unraveled through advanced bioinformatics, integrating different components of the disease process into an omics-based network approach. This may implement EoE management and treatment in the coming years.
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Affiliation(s)
- Luca Massimino
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy ,grid.18887.3e0000000417581884Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Alberto Barchi
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Francesco Vito Mandarino
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Salvatore Spanò
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy ,grid.18887.3e0000000417581884Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Edoardo Vespa
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Sandro Passaretti
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Laurent Peyrin-Biroulet
- grid.29172.3f0000 0001 2194 6418Inserm NGERE, University of Lorraine, Vandoeuvre-les-Nancy, France ,grid.410527.50000 0004 1765 1301Nancy University Hospital, Vandoeuvre-les-Nancy, France
| | - Edoardo Vincenzo Savarino
- grid.5608.b0000 0004 1757 3470Department of Surgery, Oncology, and Gastroenterology, University of Padua, Padua, Italy ,grid.5608.b0000 0004 1757 3470Gastroenterology Unit, Azienda Ospedale Università di Padova, Padua, Italy
| | - Vipul Jairath
- grid.39381.300000 0004 1936 8884Department of Medicine, Division of Gastroenterology, Western University, London, ON Canada
| | - Federica Ungaro
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy ,grid.18887.3e0000000417581884Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy ,grid.15496.3f0000 0001 0439 0892Faculty of Medicine, Università Vita-Salute San Raffaele, Milan, Italy
| | - Silvio Danese
- grid.18887.3e0000000417581884Department of Gastroenterology and Digestive Endoscopy, IRCCS Ospedale San Raffaele, Milan, Italy ,grid.18887.3e0000000417581884Division of Immunology, Transplantation and Infectious Disease, IRCCS Ospedale San Raffaele, Milan, Italy ,grid.15496.3f0000 0001 0439 0892Faculty of Medicine, Università Vita-Salute San Raffaele, Milan, Italy
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29
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Guo X, Yan N, Liu L, Yin X, Chen Y, Zhang Y, Wang J, Cao G, Fan C, Hu Z. Transcriptomic comparison of seeds and silique walls from two rapeseed genotypes with contrasting seed oil content. FRONTIERS IN PLANT SCIENCE 2023; 13:1082466. [PMID: 36714692 PMCID: PMC9880416 DOI: 10.3389/fpls.2022.1082466] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 12/22/2022] [Indexed: 06/18/2023]
Abstract
Silique walls play pivotal roles in contributing photoassimilates and nutrients to fuel seed growth. However, the interaction between seeds and silique walls impacting oil biosynthesis is not clear during silique development. Changes in sugar, fatty acid and gene expression during Brassica napus silique development of L192 with high oil content and A260 with low oil content were investigated to identify key factors affecting difference of their seed oil content. During the silique development, silique walls contained more hexose and less sucrose than seeds, and glucose and fructose contents in seeds and silique walls of L192 were higher than that of A260 at 15 DAF, and sucrose content in the silique walls of L192 were lower than that of A260 at three time points. Genes related to fatty acid biosynthesis were activated over time, and differences on fatty acid content between the two genotypes occurred after 25 DAF. Genes related to photosynthesis expressed more highly in silique walls than in contemporaneous seeds, and were inhibited over time. Gene set enrichment analysis suggested photosynthesis were activated in L192 at 25 and 35 DAF in silique walls and at both 15 and 35 DAF in the seed. Expressions of sugar transporter genes in L192 was higher than that in A260, especially at 35 DAF. Expressions of genes related to fatty acid biosynthesis, such as BCCP2s, bZIP67 and LEC1s were higher in L192 than in A260, especially at 35 DAF. Meanwhile, genes related to oil body proteins were expressed at much lower levels in L192 than in A260. According to the WGCNA results, hub modules, such as ME.turquoise relative to photosynthesis, ME.green relative to embryo development and ME.yellow relative to lipid biosynthesis, were identified and synergistically regulated seed development and oil accumulation. Our results are helpful for understanding the mechanism of oil accumulation of seeds in oilseed rape for seed oil content improvement.
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Affiliation(s)
- Xupeng Guo
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
- Hybrid Rapeseed Research Center of Shaanxi Province, Yangling, Shaanxi, China
| | - Na Yan
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Linpo Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Xiangzhen Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Yuhong Chen
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Yanfeng Zhang
- Hybrid Rapeseed Research Center of Shaanxi Province, Yangling, Shaanxi, China
| | - Jingqiao Wang
- Institute of Economical Crops, Yunnan Agricultural Academy, Kunming, Yunnan, China
| | - Guozhi Cao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Chengming Fan
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Zanmin Hu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
- College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China
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30
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Okonechnikov K, Federico A, Schrimpf D, Sievers P, Sahm F, Koster J, Jones DTW, von Deimling A, Pfister SM, Kool M, Korshunov A. Comparison of transcriptome profiles between medulloblastoma primary and recurrent tumors uncovers novel variance effects in relapses. Acta Neuropathol Commun 2023; 11:7. [PMID: 36635768 PMCID: PMC9837941 DOI: 10.1186/s40478-023-01504-1] [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: 11/25/2022] [Accepted: 12/27/2022] [Indexed: 01/13/2023] Open
Abstract
Nowadays medulloblastoma (MB) tumors can be treated with risk-stratified approaches with up to 80% success rate. However, disease relapses occur in approximately 30% of patients and successful salvage treatment strategies at relapse remain scarce. Acquired copy number changes or TP53 mutations are known to occur frequently in relapses, while methylation profiles usually remain highly similar to those of the matching primary tumors, indicating that in general molecular subgrouping does not change during the course of the disease. In the current study, we have used RNA sequencing data to analyze the transcriptome profiles of 43 primary-relapse MB pairs in order to identify specific molecular features of relapses within various tumor groups. Gene variance analysis between primary and relapse samples demonstrated the impact of age in SHH-MB: the changes in gene expression relapse profiles were more pronounced in the younger patients (< 10 years old), which were also associated with increased DNA aberrations and somatic mutations at relapse probably driving this effect. For Group 3/4 MB transcriptome data analysis uncovered clear sets of genes either active or decreased at relapse that are significantly associated with survival, thus could be potential predictive markers. In addition, deconvolution analysis of bulk transcriptome data identified progression-associated differences in cell type enrichment. The proportion of undifferentiated progenitors increased in SHH-MB relapses with a concomitant decrease of differentiated neuron-like cells, while in Group 3/4 MB relapses cell cycle activity increases and differentiated neuron-like cells proportion decreases as well. Thus, our findings uncovered significant transcriptome changes in the molecular signatures of relapsed MB and could be potentially useful for further clinical purposes.
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Affiliation(s)
- Konstantin Okonechnikov
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Aniello Federico
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Daniel Schrimpf
- grid.7497.d0000 0004 0492 0584Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Philipp Sievers
- grid.7497.d0000 0004 0492 0584Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Felix Sahm
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jan Koster
- grid.7177.60000000084992262Center for Experimental and Molecular Medicine, Amsterdam University Medical Centers, University of Amsterdam and Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - David T. W. Jones
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andreas von Deimling
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan M. Pfister
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Pediatric Hematology and Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Marcel Kool
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Division of Pediatric Neuro-Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.487647.ePrincess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands
| | - Andrey Korshunov
- grid.510964.fHopp Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Clinical Cooperation Unit Neuropathology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
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31
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Korejwo D, Chortarea S, Louka C, Buljan M, Rothen-Rutishauser B, Wick P, Buerki-Thurnherr T. Gene expression profiling of human macrophages after graphene oxide and graphene nanoplatelets treatment reveals particle-specific regulation of pathways. NANOIMPACT 2023; 29:100452. [PMID: 36717017 DOI: 10.1016/j.impact.2023.100452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/09/2022] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
Graphene and its derivatives are attractive materials envisaged to enable a wealth of novel applications in many fields including energy, electronics, composite materials or health. A comprehensive understanding of the potential adverse effects of graphene-related materials (GRM) in humans is a prerequisite to the safe use of these promising materials. Here, we exploited gene expression profiling to identify transcriptional responses and toxicity pathways induced by graphene oxide (GO) and graphene nanoplatelets (GNP) in human macrophages. Primary human monocyte-derived macrophages (MDM) and a human macrophage cell line, i.e. differentiated THP-1 cells, were exposed to 5 or 20 μg/mL GO and GNP for 6 and 24 h to capture early and more persistent acute responses at realistic or slightly overdose concentrations. GO and GNP induced time-, dose- and macrophage type-specific differential expression of a substantial number of genes with some overlap between the two GRM types (up to 384 genes (9.6%) or 447 genes (20.4%) in THP-1 or MDM, respectively) but also a high number of genes exclusively deregulated from each material type. Furthermore, GRM responses on gene expression were highly different from those induced by inflammogenic material crystalline quartz (maximum of 64 (2.3%) or 318 (11.3%) common genes for MDM treated with 20 μg/mL GO and GNP, respectively). Further bioinformatics analysis revealed that GNP predominantly activated genes controlling inflammatory and apoptotic pathways whereas GO showed only limited inflammatory responses. Interestingly, both GRM affected the expression of genes related to antigen processing and presentation and in addition, GO activated pathways of neutrophil activation, degranulation and immunity in MDM. Overall, this study provides an extensive resource of potential toxicity mechanisms for future safety assessment of GRM in more advanced model systems to verify if the observed changes in gene expression in human macrophages could lead to long-term consequences on human health.
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Affiliation(s)
- Daria Korejwo
- Particles-Biology Interactions Lab, Empa, Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland; Adolphe Merkle Institute, University of Fribourg, 1700 Fribourg, Switzerland
| | - Savvina Chortarea
- Particles-Biology Interactions Lab, Empa, Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland
| | - Chrysovalanto Louka
- Particles-Biology Interactions Lab, Empa, Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland
| | - Marija Buljan
- Particles-Biology Interactions Lab, Empa, Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland
| | | | - Peter Wick
- Particles-Biology Interactions Lab, Empa, Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland
| | - Tina Buerki-Thurnherr
- Particles-Biology Interactions Lab, Empa, Swiss Federal Laboratories for Materials Science and Technology, 9014 St. Gallen, Switzerland.
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Carbonic anhydrase 14 protects the liver against the cytotoxicity of bile acids in a biliary bicarbonate umbrella-related manner. Life Sci 2022; 310:121117. [DOI: 10.1016/j.lfs.2022.121117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 11/09/2022]
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In vivo genome editing using novel AAV-PHP variants rescues motor function deficits and extends survival in a SOD1-ALS mouse model. Gene Ther 2022; 30:443-454. [PMID: 36450833 PMCID: PMC9713118 DOI: 10.1038/s41434-022-00375-w] [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: 01/15/2022] [Revised: 10/10/2022] [Accepted: 11/08/2022] [Indexed: 12/03/2022]
Abstract
CRISPR-based gene editing technology represents a promising approach to deliver therapies for inherited disorders, including amyotrophic lateral sclerosis (ALS). Toxic gain-of-function superoxide dismutase 1 (SOD1) mutations are responsible for ~20% of familial ALS cases. Thus, current clinical strategies to treat SOD1-ALS are designed to lower SOD1 levels. Here, we utilized AAV-PHP.B variants to deliver CRISPR-Cas9 guide RNAs designed to disrupt the human SOD1 (huSOD1) transgene in SOD1G93A mice. A one-time intracerebroventricular injection of AAV.PHP.B-huSOD1-sgRNA into neonatal H11Cas9 SOD1G93A mice caused robust and sustained mutant huSOD1 protein reduction in the cortex and spinal cord, and restored motor function. Neonatal treatment also reduced spinal motor neuron loss, denervation at neuromuscular junction (NMJ) and muscle atrophy, diminished axonal damage and preserved compound muscle action potential throughout the lifespan of treated mice. SOD1G93A treated mice achieved significant disease-free survival, extending lifespan by more than 110 days. Importantly, a one-time intrathecal or intravenous injection of AAV.PHP.eB-huSOD1-sgRNA in adult H11Cas9 SOD1G93A mice, immediately before symptom onset, also extended lifespan by at least 170 days. We observed substantial protection against disease progression, demonstrating the utility of our CRISPR editing preclinical approach for target evaluation. Our approach uncovered key parameters (e.g., AAV capsid, Cas9 expression) that resulted in improved efficacy compared to similar approaches and can also serve to accelerate drug target validation.
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Altered tRNA processing is linked to a distinct and unusual La protein in Tetrahymena thermophila. Nat Commun 2022; 13:7332. [PMID: 36443289 PMCID: PMC9705548 DOI: 10.1038/s41467-022-34796-3] [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: 05/16/2022] [Accepted: 11/07/2022] [Indexed: 11/29/2022] Open
Abstract
Nascent pre-tRNAs are transcribed by RNA polymerase III and immediately bound by La proteins on the UUU-3'OH sequence, using a tandem arrangement of the La motif and an adjacent RNA recognition motif-1 (RRM1), resulting in protection from 3'-exonucleases and promotion of pre-tRNA folding. The Tetrahymena thermophila protein Mlp1 has been previously classified as a genuine La protein, despite the predicted absence of the RRM1. We find that Mlp1 functions as a La protein through binding of pre-tRNAs, and affects pre-tRNA processing in Tetrahymena thermophila and when expressed in fission yeast. However, unlike in other examined eukaryotes, depletion of Mlp1 results in 3'-trailer stabilization. The 3'-trailers in Tetrahymena thermophila are uniquely short relative to other examined eukaryotes, and 5'-leaders have evolved to disfavour pre-tRNA leader/trailer pairing. Our data indicate that this variant Mlp1 architecture is linked to an altered, novel mechanism of tRNA processing in Tetrahymena thermophila.
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García-Ruiz S, Gustavsson EK, Zhang D, Reynolds RH, Chen Z, Fairbrother-Browne A, Gil-Martínez AL, Botia JA, Collado-Torres L, Ryten M. IntroVerse: a comprehensive database of introns across human tissues. Nucleic Acids Res 2022; 51:D167-D178. [PMID: 36399497 PMCID: PMC9825543 DOI: 10.1093/nar/gkac1056] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/21/2022] [Accepted: 10/30/2022] [Indexed: 11/19/2022] Open
Abstract
Dysregulation of RNA splicing contributes to both rare and complex diseases. RNA-sequencing data from human tissues has shown that this process can be inaccurate, resulting in the presence of novel introns detected at low frequency across samples and within an individual. To enable the full spectrum of intron use to be explored, we have developed IntroVerse, which offers an extensive catalogue on the splicing of 332,571 annotated introns and a linked set of 4,679,474 novel junctions covering 32,669 different genes. This dataset has been generated through the analysis of 17,510 human control RNA samples from 54 tissues provided by the Genotype-Tissue Expression Consortium. IntroVerse has two unique features: (i) it provides a complete catalogue of novel junctions and (ii) each novel junction has been assigned to a specific annotated intron. This unique, hierarchical structure offers multiple uses, including the identification of novel transcripts from known genes and their tissue-specific usage, and the assessment of background splicing noise for introns thought to be mis-spliced in disease states. IntroVerse provides a user-friendly web interface and is freely available at https://rytenlab.com/browser/app/introverse.
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Affiliation(s)
- Sonia García-Ruiz
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, WC1N 1EH, UK,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Emil K Gustavsson
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, WC1N 1EH, UK,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - David Zhang
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, WC1N 1EH, UK,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Regina H Reynolds
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, WC1N 1EH, UK,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Zhongbo Chen
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, WC1N 1EH, UK,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK
| | - Aine Fairbrother-Browne
- Department of Genetics and Genomic Medicine Research & Teaching, UCL GOS Institute of Child Health, London, WC1N 1EH, UK,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK,Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, WC2R 2LS, UK
| | - Ana Luisa Gil-Martínez
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, UCL, London WC1N 3BG, UK,Department of Information and Communications Engineering Faculty of Informatics, Espinardo Campus, University of Murcia, Murcia, 30100, Spain
| | - Juan A Botia
- Department of Information and Communications Engineering Faculty of Informatics, Espinardo Campus, University of Murcia, Murcia, 30100, Spain
| | | | - Mina Ryten
- To whom correspondence should be addressed. Tel: +44 2081387617;
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Identification of candidate genes associated with resistance against race 0 of Colletotrichum lentis in Lens ervoides. Sci Rep 2022; 12:18447. [PMID: 36323877 PMCID: PMC9630317 DOI: 10.1038/s41598-022-23175-z] [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: 05/11/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022] Open
Abstract
Resistance to anthracnose caused by the fungal pathogen Colletotrichum lentis was explored through transcriptome sequencing over a period of 24 to 96 h post-inoculation (hpi) of the partially resistant recombinant inbred lines (RIL) LR-66-528 and susceptible LR-66-524 of the crop wild relative Lens ervoides population LR-66. The development of infection vesicles and primary hyphae by C. lentis were significantly higher on susceptible RIL LR-66-524 compared to partially resistant LR-66-528 at 24 and 48 hpi, but exponential trends in fungal growth were observed between 24 to 96 hpi in both RILs. Comparison of inoculated with mock-inoculated samples revealed 3091 disease responsive genes, among which 477 were differentially expressed between the two RILs. These were clustered into six expression clusters with genes that had either high or low expression in one of the RILs. Differentially expressed genes (DEGs) were functionally annotated and included genes coding LRR and NB-ARC domain disease resistance proteins, protein detoxification, LRR receptor-like kinase family proteins, and wall-associated Ser/Thr Kinases. DEGs were compared to genes in previously published anthracnose resistance QTLs mapped in LR-66 and revealed 22 DEGs located in 3 QTLs. Expression of 21 DEGs was validated using RT-qPCR confirming expression trends in RNA-seq.
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Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. PLoS Comput Biol 2022; 18:e1010636. [PMID: 36301997 PMCID: PMC9642901 DOI: 10.1371/journal.pcbi.1010636] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 11/08/2022] [Accepted: 10/04/2022] [Indexed: 11/09/2022] Open
Abstract
Early and accurate detection of viruses in clinical and environmental samples is essential for effective public healthcare, treatment, and therapeutics. While PCR detects potential pathogens with high sensitivity, it is difficult to scale and requires knowledge of the exact sequence of the pathogen. With the advent of next-gen single-cell sequencing, it is now possible to scrutinize viral transcriptomics at the finest possible resolution–cells. This newfound ability to investigate individual cells opens new avenues to understand viral pathophysiology with unprecedented resolution. To leverage this ability, we propose an efficient and accurate computational pipeline, named Venus, for virus detection and integration site discovery in both single-cell and bulk-tissue RNA-seq data. Specifically, Venus addresses two main questions: whether a tissue/cell type is infected by viruses or a virus of interest? And if infected, whether and where has the virus inserted itself into the human genome? Our analysis can be broken into two parts–validation and discovery. Firstly, for validation, we applied Venus on well-studied viral datasets, such as HBV- hepatocellular carcinoma and HIV-infection treated with antiretroviral therapy. Secondly, for discovery, we analyzed datasets such as HIV-infected neurological patients and deeply sequenced T-cells. We detected viral transcripts in the novel target of the brain and high-confidence integration sites in immune cells. In conclusion, here we describe Venus, a publicly available software which we believe will be a valuable virus investigation tool for the scientific community at large.
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Diaz-Ortiz ME, Seo Y, Posavi M, Carceles Cordon M, Clark E, Jain N, Charan R, Gallagher MD, Unger TL, Amari N, Skrinak RT, Davila-Rivera R, Brody EM, Han N, Zack R, Van Deerlin VM, Tropea TF, Luk KC, Lee EB, Weintraub D, Chen-Plotkin AS. GPNMB confers risk for Parkinson's disease through interaction with α-synuclein. Science 2022; 377:eabk0637. [PMID: 35981040 PMCID: PMC9870036 DOI: 10.1126/science.abk0637] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Many risk loci for Parkinson's disease (PD) have been identified by genome-wide association studies (GWASs), but target genes and mechanisms remain largely unknown. We linked the GWAS-derived chromosome 7 locus (sentinel single-nucleotide polymorphism rs199347) to GPNMB through colocalization analyses of expression quantitative trait locus and PD risk signals, confirmed by allele-specific expression studies in the human brain. In cells, glycoprotein nonmetastatic melanoma protein B (GPNMB) coimmunoprecipitated and colocalized with α-synuclein (aSyn). In induced pluripotent stem cell-derived neurons, loss of GPNMB resulted in loss of ability to internalize aSyn fibrils and develop aSyn pathology. In 731 PD and 59 control biosamples, GPNMB was elevated in PD plasma, associating with disease severity. Thus, GPNMB represents a PD risk gene with potential for biomarker development and therapeutic targeting.
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Affiliation(s)
- Maria E. Diaz-Ortiz
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, USA
| | - Yunji Seo
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marijan Posavi
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marc Carceles Cordon
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Elisia Clark
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nimansha Jain
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Hope Center for Neurological Disorders, Knight Alzheimer Disease, Research Center, Washington University, St. Louis, MO, USA
| | - Rakshita Charan
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Flagship Pioneering, Cambridge, MA, USA
| | - Michael D. Gallagher
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
| | - Travis L. Unger
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Noor Amari
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - R. Tyler Skrinak
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Roseanne Davila-Rivera
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Eliza M. Brody
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Noah Han
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rebecca Zack
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Vivianna M. Van Deerlin
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas F. Tropea
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kelvin C. Luk
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward B. Lee
- Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Daniel Weintraub
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Parkinson’s Disease Research, Education and Clinical Center (PADRECC), Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Alice S. Chen-Plotkin
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Wang T, Zhu J, Gao L, Wei M, Zhang D, Chen L, Wu H, Ma J, Li L, Zhang N, Wang Y, Xing Q, He L, Hong F, Qin S. Identification of circular RNA biomarkers for Pien Tze Huang treatment of CCl4‑induced liver fibrosis using RNA‑sequencing. Mol Med Rep 2022; 26:309. [PMID: 36004475 PMCID: PMC9437966 DOI: 10.3892/mmr.2022.12825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 10/26/2021] [Indexed: 11/26/2022] Open
Abstract
Pien Tze Huang (PZH), a common hepatoprotective Traditional Chinese Medicine that has been found to be an effective treatment for carbon tetrachloride-induced hepatic damage, including liver fibrosis. Circular RNAs (circRNAs) serve a crucial role in regulating gene expression levels via circRNA/micro (mi)RNA/mRNA networks in several human diseases and biological processes. However, whether circRNAs are involved in the underlying mechanism of the therapeutic effects of PZH on liver fibrosis remains unclear. Therefore, the aim of the present study was to investigate these effects using circRNA expression profiles from PZH-treated fibrotic livers in model mice. A case-control study on >59,476 circRNAs from CCl4-induced (control group, n=6) and PZH-treated (case group, n=6) mice was performed using circRNA sequencing in liver tissues. PZH treatment resulted in the differential expression of 91 circRNAs, including 58 upregulated and 33 downregulated circRNAs. Furthermore, the construction of competing endogenous networks also indicated that differentially expressed circRNAs acted as miRNA sponges. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of miRNA targets demonstrated that PZH-affected circRNAs were mainly involved in biological processes such as ‘positive regulation of fibroblast proliferation’, ‘cellular response to interleukin-1’ and ‘regulation of DNA-templated transcription in response to stress’ and in a number of important pathways, such as ‘TNF signaling pathway’, ‘PI3K-Akt signaling pathway’, ‘IL-17 signaling pathway’ and ‘MAPK signaling pathway’. To further validate the bioinformatics data, reverse transcription–quantitative PCR was performed on seven miRNA targets in a human hepatic stellate LX-2 cell model. The results suggested that seven of the miRNAs exhibited regulatory patterns that were consistent with those of the transcriptome sequencing results. Kaplan-Meier survival analysis demonstrated that the expression levels of dihydrodiol dehydrogenase and solute carrier family 7, member 11 gene were significantly associated with patient survival, 269 patients with liver hepatocellular carcinoma from The Cancer Genome Atlas database. To the best of our knowledge, this was the first study to provide evidence that PZH affects circRNA expression levels, which may serve important roles in PZH-treated fibrotic liver through the regulation of functional gene expression. In conclusion, the present study provided new insights into the mechanism underlying the pathogenesis of liver fibrosis and identified potential novel, efficient, therapeutic targets against liver injury.
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Affiliation(s)
- Ting Wang
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Jinhang Zhu
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Longhui Gao
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Muyun Wei
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Di Zhang
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Luan Chen
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Hao Wu
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Jingsong Ma
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Lixing Li
- Department of General Surgery, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
| | - Na Zhang
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Yanjing Wang
- State Key Laboratory of Microbial Metabolism, Joint Laboratory of International Cooperation in Metabolic and Developmental Sciences, School of Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, P.R. China
| | - Qinghe Xing
- Institutes of Biomedical Sciences and Children's Hospital, Fudan University, Shanghai 201102, P.R. China
| | - Lin He
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
| | - Fei Hong
- Fujian Provincial Key Laboratory of Pien Tze Huang Natural Medicine Research and Development, Zhangzhou Pien Tze Huang Pharmaceutical Co., Ltd., Zhangzhou, Fujian 363000, P.R. China
| | - Shengying Qin
- Bio‑X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200030, P.R. China
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D’Alise AM, Brasu N, De Intinis C, Leoni G, Russo V, Langone F, Baev D, Micarelli E, Petiti L, Picelli S, Fakih M, Le DT, Overman MJ, Shields AF, Pedersen KS, Shah MA, Mukherjee S, Faivre T, Delaite P, Scarselli E, Pace L. Adenoviral-based vaccine promotes neoantigen-specific CD8 + T cell stemness and tumor rejection. Sci Transl Med 2022; 14:eabo7604. [PMID: 35947675 PMCID: PMC9844517 DOI: 10.1126/scitranslmed.abo7604] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Upon chronic antigen exposure, CD8+ T cells become exhausted, acquiring a dysfunctional state correlated with the inability to control infection or tumor progression. In contrast, stem-like CD8+ T progenitors maintain the ability to promote and sustain effective immunity. Adenovirus (Ad)-vectored vaccines encoding tumor neoantigens have been shown to eradicate large tumors when combined with anti-programmed cell death protein 1 (αPD-1) in murine models; however, the mechanisms and translational potential have not yet been elucidated. Here, we show that gorilla Ad vaccine targeting tumor neoepitopes enhances responses to αPD-1 therapy by improving immunogenicity and antitumor efficacy. Single-cell RNA sequencing demonstrated that the combination of Ad vaccine and αPD-1 increased the number of murine polyfunctional neoantigen-specific CD8+ T cells over αPD-1 monotherapy, with an accumulation of Tcf1+ stem-like progenitors in draining lymph nodes and effector CD8+ T cells in tumors. Combined T cell receptor (TCR) sequencing analysis highlighted a broader spectrum of neoantigen-specific CD8+ T cells upon vaccination compared to αPD-1 monotherapy. The translational relevance of these data is supported by results obtained in the first 12 patients with metastatic deficient mismatch repair (dMMR) tumors vaccinated with an Ad vaccine encoding shared neoantigens. Expansion and diversification of TCRs were observed in post-treatment biopsies of patients with clinical response, as well as an increase in tumor-infiltrating T cells with an effector memory signature. These findings indicate a promising mechanism to overcome resistance to PD-1 blockade by promoting immunogenicity and broadening the spectrum and magnitude of neoantigen-specific T cells infiltrating tumors.
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Affiliation(s)
| | - Nadia Brasu
- Armenise-Harvard Immune Regulation Unit, Italian Institute for Genomic Medicine, 10060 Candiolo (Turin), Italy,Candiolo Cancer Institute, FPO- IRCCS, 10060 Candiolo (Turin), Italy,University of Turin, 10060 Turin, Italy
| | - Carlo De Intinis
- Armenise-Harvard Immune Regulation Unit, Italian Institute for Genomic Medicine, 10060 Candiolo (Turin), Italy,Candiolo Cancer Institute, FPO- IRCCS, 10060 Candiolo (Turin), Italy
| | | | - Valentina Russo
- Armenise-Harvard Immune Regulation Unit, Italian Institute for Genomic Medicine, 10060 Candiolo (Turin), Italy,Candiolo Cancer Institute, FPO- IRCCS, 10060 Candiolo (Turin), Italy,University of Turin, 10060 Turin, Italy
| | | | - Denis Baev
- Armenise-Harvard Immune Regulation Unit, Italian Institute for Genomic Medicine, 10060 Candiolo (Turin), Italy,Candiolo Cancer Institute, FPO- IRCCS, 10060 Candiolo (Turin), Italy
| | | | - Luca Petiti
- Armenise-Harvard Immune Regulation Unit, Italian Institute for Genomic Medicine, 10060 Candiolo (Turin), Italy,Candiolo Cancer Institute, FPO- IRCCS, 10060 Candiolo (Turin), Italy
| | - Simone Picelli
- Institute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland
| | - Marwan Fakih
- City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
| | - Dung T. Le
- Johns Hopkins University, Baltimore, MD 21287, USA
| | | | - Anthony F. Shields
- Karmanos Cancer Institute, Wayne State University, Detroit, MI 48201, USA
| | - Katrina S. Pedersen
- Division of Oncology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | | | | | | | | | - Elisa Scarselli
- Nouscom SRL, 00128 Rome, Italy,Corresponding author. (L. Pace); (E.S.)
| | - Luigia Pace
- Armenise-Harvard Immune Regulation Unit, Italian Institute for Genomic Medicine, 10060 Candiolo (Turin), Italy,Candiolo Cancer Institute, FPO- IRCCS, 10060 Candiolo (Turin), Italy,Corresponding author. (L. Pace); (E.S.)
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Hum NR, Sebastian A, Martin KA, Rios-Arce ND, Gilmore SF, Gravano DM, Wheeler EK, Coleman MA, Loots GG. IL-17A Increases Doxorubicin Efficacy in Triple Negative Breast Cancer. Front Oncol 2022; 12:928474. [PMID: 35924165 PMCID: PMC9340269 DOI: 10.3389/fonc.2022.928474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 05/25/2022] [Indexed: 11/24/2022] Open
Abstract
Due to lack of targetable receptors and intertumoral heterogeneity, triple negative breast cancer (TNBC) remains particularly difficult to treat. Doxorubicin (DOX) is typically used as nonselective neoadjuvant chemotherapy, but the diversity of treatment efficacy remains unclear. Comparable to variability in clinical response, an experimental model of TNBC using a 4T1 syngeneic mouse model was found to elicit a differential response to a seven-day treatment regimen of DOX. Single-cell RNA sequencing identified an increase in T cells in tumors that responded to DOX treatment compared to tumors that continued to grow uninhibited. Additionally, compared to resistant tumors, DOX sensitive tumors contained significantly more CD4 T helper cells (339%), γδ T cells (727%), Naïve T cells (278%), and activated CD8 T cells (130%). Furthermore, transcriptional profiles of tumor infiltrated T cells in DOX responsive tumors revealed decreased exhaustion, increased chemokine/cytokine expression, and increased activation and cytotoxic activity. γδ T cell derived IL-17A was identified to be highly abundant in the sensitive tumor microenvironment. IL-17A was also found to directly increase sensitivity of TNBC cells in combination with DOX treatment. In TNBC tumors sensitive to DOX, increased IL-17A levels lead to a direct effect on cancer cell responsiveness and chronic stimulation of tumor infiltrated T cells leading to improved chemotherapeutic efficacy. IL-17A’s role as a chemosensitive cytokine in TNBC may offer new opportunities for treating chemoresistant breast tumors and other cancer types.
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Affiliation(s)
- Nicholas R. Hum
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
- Stem Cell Instrumentation Foundry, University of California Merced, Merced, CA, United States
| | - Aimy Sebastian
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Kelly A. Martin
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Naiomy D. Rios-Arce
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Sean F. Gilmore
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - David M. Gravano
- Stem Cell Instrumentation Foundry, University of California Merced, Merced, CA, United States
| | - Elizabeth K. Wheeler
- Engineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Matthew A. Coleman
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
- Department of Radiation Oncology, University of California Davis, Sacramento, CA, United States
| | - Gabriela G. Loots
- Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA, United States
- Stem Cell Instrumentation Foundry, University of California Merced, Merced, CA, United States
- *Correspondence: Gabriela G. Loots,
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Chen X, Wang C, He B, Wan Z, Zhao Y, Hu F, Lv Y. Transcriptome Profiling of Transposon-Derived Long Non-coding RNAs Response to Hormone in Strawberry Fruit Development. FRONTIERS IN PLANT SCIENCE 2022; 13:915569. [PMID: 35783970 PMCID: PMC9244616 DOI: 10.3389/fpls.2022.915569] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/02/2022] [Indexed: 06/01/2023]
Abstract
Strawberry is an economically grown horticulture crop required for fruit consumption. The ripening of its fruit is a complex biological process regulated by various hormones. Abscisic acid (ABA) is a critical phytohormone involved in fruit ripening. However, little is known about the long non-coding RNAs (LncRNAs), especially transposon-derived LncRNA (TE-lncRNA), response to hormones during fruit ripening in octoploid strawberry. In the study, the transcriptome data of developing strawberry fruits treated with ABA and its inhibitor Nordihydroguaiaretic acid (NGDA) were analyzed to identify responsive LncRNAs and coding genes. A total of 14,552 LncRNAs were identified, including 8,617 transposon-derived LncRNAs (TE-LncRNAs), 412 LncRNAs (282 TE-LncRNAs), and 382 ABA-sensitive LncRNAs (231 TE-LncRNAs). Additionally, a weighted co-expression network analysis constructed 27 modules containing coding RNAs and LncRNAs. Seven modules, including "MEdarkorange" and "MElightyellow" were significantly correlated with ABA/NDGA treatments, resulting in 247 hub genes, including 21 transcription factors and 22 LncRNAs (15 TE-LncRNAs). Gene ontology enrichment analysis further revealed that ABA/NDGA-responsive modules, including LncRNAs, were associated with various metabolic pathways involved in strawberry fruit development and ripening, including lipid metabolism, organic acid metabolism, and phenylpropanoid metabolism. The current study identifies many high-confidence LncRNAs in strawberry, with a percentage of them being ABA pathway-specific and 22 hub-responsive LncRNAs, providing new insight into strawberry or other Rosaceae crop fruit ripening.
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Affiliation(s)
- Xi Chen
- School of Agronomy and Horticulture, Jiangsu Vocational College of Agriculture and Forest, Zhenjiang, China
- Engineering and Technical Center for Modern Horticulture, Jurong, China
| | - Chengdong Wang
- Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture, Tobacco Research Institute of Chinese Academy of Agricultural Sciences, Qingdao, China
| | - Bing He
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Zifan Wan
- School of Agronomy and Horticulture, Jiangsu Vocational College of Agriculture and Forest, Zhenjiang, China
- Engineering and Technical Center for Modern Horticulture, Jurong, China
| | - Yukun Zhao
- School of Agronomy and Horticulture, Jiangsu Vocational College of Agriculture and Forest, Zhenjiang, China
- Engineering and Technical Center for Modern Horticulture, Jurong, China
| | - Fengqin Hu
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yuanda Lv
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
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Chen L, Li J, Yuan R, Wang Y, Zhang J, Lin Y, Wang L, Zhu X, Zhu W, Bai J, Kong F, Zeng B, Lu L, Ma J, Long K, Jin L, Huang Z, Huo J, Gu Y, Wang D, Mo D, Li D, Tang Q, Li X, Wu J, Chen Y, Li M. Dynamic 3D genome reorganization during development and metabolic stress of the porcine liver. Cell Discov 2022; 8:56. [PMID: 35701393 PMCID: PMC9197842 DOI: 10.1038/s41421-022-00416-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 04/28/2022] [Indexed: 11/28/2022] Open
Abstract
Liver development is a complex process that is regulated by a series of signaling pathways. Three-dimensional (3D) chromatin architecture plays an important role in transcriptional regulation; nonetheless, its dynamics and role in the rapid transition of core liver functions during development and obesity-induced metabolic stress remain largely unexplored. To investigate the dynamic chromatin architecture during liver development and under metabolic stress, we generated high-resolution maps of chromatin architecture for porcine livers across six major developmental stages (from embryonic day 38 to the adult stage) and under a high-fat diet-induced obesity. The characteristically loose chromatin architecture supports a highly plastic genome organization during early liver development, which fundamentally contributes to the rapid functional transitions in the liver after birth. We reveal the multi-scale reorganization of chromatin architecture and its influence on transcriptional regulation of critical signaling processes during liver development, and show its close association with transition in hepatic functions (i.e., from hematopoiesis in the fetus to metabolism and immunity after birth). The limited changes in chromatin structure help explain the observed metabolic adaptation to excessive energy intake in pigs. These results provide a global overview of chromatin architecture dynamics associated with the transition of physiological liver functions between prenatal development and postnatal maturation, and a foundational resource that allows for future in-depth functional characterization.
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Affiliation(s)
- Luxi Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Jing Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Renqiang Yuan
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yujie Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jiaman Zhang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Yu Lin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Lina Wang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.,Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xingxing Zhu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Wei Zhu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jingyi Bai
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Fanli Kong
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Bo Zeng
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Lu Lu
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jideng Ma
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Keren Long
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Long Jin
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhiqing Huang
- Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jinlong Huo
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yiren Gu
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Danyang Wang
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China
| | - Delin Mo
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Diyan Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Qianzi Tang
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Xuewei Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Jiangwei Wu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Mingzhou Li
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China.
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Yin L, Han Z, Feng M, Wang J, Xie Z, Yu W, Fu X, Shen N, Wang X, Duan A, Zhang Y, Ma J. Chimeric transcripts observed in non-canonical FGFR2 fusions with partner genes' breakpoint located in intergenic region in intrahepatic cholangiocarcinoma. Cancer Genet 2022; 266-267:39-43. [PMID: 35749865 DOI: 10.1016/j.cancergen.2022.06.004] [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: 05/05/2021] [Revised: 05/29/2022] [Accepted: 06/11/2022] [Indexed: 11/28/2022]
Abstract
Intrahepatic cholangiocarcinoma (ICC) is a fatal bile duct cancer with dismal prognosis and limited therapeutic options. FGFR family fusion have been identified in many diseases, and FGFR2 fusion is a validated oncogenic driver in ICC. At present, a variety of fusion forms have been reported, including gene-gene, gene-intergenic, and intergenic-intergenic fusion. Here, by performing RNA- and DNA-sequencing analysis, FGFR2 fusions were found in 10.1% of ICC, including 4 gene-intergenic fusions. We confirmed that the non-canonical rearrangements can generate chimeric transcripts, and used conventional splicing mechanism to explain the event. Our study provides possible target therapy for these 4 patients and possibility analysis scheme for similar situation.
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Affiliation(s)
- Lei Yin
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China
| | - Zhijun Han
- Department of Bioinformatics, 3D Medicines Inc., Shanghai, China
| | - Meilin Feng
- Department of Data System, 3D Medicines Inc, Shanghai, China
| | - Jie Wang
- Department of Bioinformatics, 3D Medicines Inc., Shanghai, China
| | - Zhenghua Xie
- Department of Research and Development, 3D Medicines Inc, Shanghai, China
| | - Wenlong Yu
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China
| | - Xiaohui Fu
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China
| | - Ningjia Shen
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China
| | - Xiang Wang
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China
| | - Anqi Duan
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China
| | - Yongjie Zhang
- 2nd Department of Biliary Truct Surgery, Eastern Hepatobiliary surgery hospital, 225#Changhai Road, Shanghai, China.
| | - Jing Ma
- Department of Data System, 3D Medicines Inc, Shanghai, China.
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Rifkin JL, Hnatovska S, Yuan M, Sacchi BM, Choudhury BI, Gong Y, Rastas P, Barrett SCH, Wright SI. Recombination landscape dimorphism and sex chromosome evolution in the dioecious plant Rumex hastatulus. Philos Trans R Soc Lond B Biol Sci 2022; 377:20210226. [PMID: 35306892 PMCID: PMC8935318 DOI: 10.1098/rstb.2021.0226] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
There is growing evidence from diverse taxa for sex differences in the genomic landscape of recombination, but the causes and consequences of these differences remain poorly understood. Strong recombination landscape dimorphism between the sexes could have important implications for the dynamics of sex chromosome evolution because low recombination in the heterogametic sex can favour the spread of sexually antagonistic alleles. Here, we present a sex-specific linkage map and revised genome assembly of Rumex hastatulus and provide the first evidence and characterization of sex differences in recombination landscape in a dioecious plant. We present data on significant sex differences in recombination, with regions of very low recombination in males covering over half of the genome. This pattern is evident on both sex chromosomes and autosomes, suggesting that pre-existing differences in recombination may have contributed to sex chromosome formation and divergence. Our analysis of segregation distortion suggests that haploid selection due to pollen competition occurs disproportionately in regions with low male recombination. We hypothesize that sex differences in the recombination landscape have contributed to the formation of a large heteromorphic pair of sex chromosomes in R. hastatulus, but more comparative analyses of recombination will be important to investigate this hypothesis further. This article is part of the theme issue 'Sex determination and sex chromosome evolution in land plants'.
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Affiliation(s)
- Joanna L Rifkin
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2
| | - Solomiya Hnatovska
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2
| | - Meng Yuan
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2
| | - Bianca M Sacchi
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2
| | - Baharul I Choudhury
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2.,Department of Biology, Queen's University, Kingston, ON, Canada K7L 396
| | - Yunchen Gong
- Centre for Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON, Canada M5S 3B2
| | - Pasi Rastas
- Institute of Biotechnology, 00014 University of Helsinki, Helsinki, Finland
| | - Spencer C H Barrett
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2
| | - Stephen I Wright
- Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON, Canada M5S 3B2.,Centre for Analysis of Genome Evolution and Function, University of Toronto, Toronto, ON, Canada M5S 3B2
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Jouinot A, Lippert J, Sibony M, Violon F, Jeanpierre L, De Murat D, Armignacco R, Septier A, Perlemoine K, Letourneur F, Izac B, Ragazzon B, Leroy K, Pasmant E, North MO, Gaujoux S, Dousset B, Groussin L, Libe R, Terris B, Fassnacht M, Ronchi CL, Bertherat J, Assie G. Transcriptome in paraffin samples for the diagnosis and prognosis of adrenocortical carcinoma. Eur J Endocrinol 2022; 186:607-617. [PMID: 35266879 PMCID: PMC9066577 DOI: 10.1530/eje-21-1228] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 03/10/2022] [Indexed: 11/08/2022]
Abstract
DESIGN Molecular classification is important for the diagnosis and prognosis of adrenocortical tumors (ACT). Transcriptome profiles separate adrenocortical adenomas 'C2' from carcinomas, and identify two groups of carcinomas 'C1A' and 'C1B', of poor and better prognosis respectively. However, many ACT cannot be profiled because of improper or absent freezing procedures, a mandatory requirement so far. The main aim was to determine transcriptome profiles on formalin-fixed paraffin-embedded (FFPE) samples, using the new 3'-end RNA-sequencing technology. A secondary aim was to demonstrate the ability of this technique to explore large FFPE archives, by focusing on the rare oncocytic ACT variants. METHODS We included 131 ACT: a training cohort from Cochin hospital and an independent validation cohort from Wuerzburg hospital. The 3' transcriptome was generated from FFPE samples using QuantSeq (Lexogen, Vienna, Austria) and NextSeq500 (Illumina, San Diego, CA, USA). RESULTS In the training cohort, unsupervised clustering identified three groups: 'C1A' aggressive carcinomas (n = 28, 29%), 'C1B' more indolent carcinomas (n = 28, 29%), and 'C2' adenomas (n = 39, 41%). The prognostic value of FFPE transcriptome was confirmed in the validation cohort (5-year OS: 26% in 'C1A' (n = 26) and 100% in 'C1B' (n = 10), P = 0.003). FFPE transcriptome was an independent prognostic factor in a multivariable model including tumor stage and Ki-67 (OS HR: 7.5, P = 0.01). Oncocytic ACT (n = 19) did not form any specific cluster. Oncocytic carcinomas (n = 6) and oncocytic ACT of uncertain malignant potential (n = 4) were all in 'C1B'. CONCLUSIONS The 3' RNA-sequencing represents a convenient solution for determining ACT molecular class from FFPE samples. This technique should facilitate routine use and large retrospective studies.
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Affiliation(s)
- Anne Jouinot
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Endocrinology, AP-HP Hôpital Cochin, Paris, France
- Institut Curie, INSERM U900, MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, Paris, France
| | - Juliane Lippert
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Wuerzburg, Wuerzburg, Germany
| | - Mathilde Sibony
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Pathology, AP-HP Hôpital Cochin, Paris, France
| | - Florian Violon
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Pathology, AP-HP Hôpital Cochin, Paris, France
| | - Lindsay Jeanpierre
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Pathology, AP-HP Hôpital Cochin, Paris, France
| | - Daniel De Murat
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Roberta Armignacco
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Amandine Septier
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Karine Perlemoine
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Franck Letourneur
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Brigitte Izac
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Bruno Ragazzon
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
| | - Karen Leroy
- Genetics and Molecular Biology, AP-HP Hôpital Cochin, Paris, France
| | - Eric Pasmant
- Genetics and Molecular Biology, AP-HP Hôpital Cochin, Paris, France
| | | | - Sébastien Gaujoux
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Digestive and Endocrine Surgery, AP-HP Hôpital Cochin, Paris, France
| | - Bertrand Dousset
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Digestive and Endocrine Surgery, AP-HP Hôpital Cochin, Paris, France
| | - Lionel Groussin
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Endocrinology, AP-HP Hôpital Cochin, Paris, France
| | - Rossella Libe
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Endocrinology, AP-HP Hôpital Cochin, Paris, France
| | | | - Martin Fassnacht
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Wuerzburg, Wuerzburg, Germany
| | - Cristina L Ronchi
- Division of Endocrinology and Diabetes, Department of Internal Medicine I, University Hospital, University of Wuerzburg, Wuerzburg, Germany
- Institute of Metabolism and System Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
- Correspondence should be addressed to C L Ronchi or G Assié; or
| | - Jérôme Bertherat
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Endocrinology, AP-HP Hôpital Cochin, Paris, France
| | - Guillaume Assie
- Université de Paris, Institut Cochin, INSERM U-1016, CNRS UMR-8104, Paris, France
- Endocrinology, AP-HP Hôpital Cochin, Paris, France
- Correspondence should be addressed to C L Ronchi or G Assié; or
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Cellular Model of Malignant Transformation of Primary Human Astrocytes Induced by Deadhesion/Readhesion Cycles. Int J Mol Sci 2022; 23:ijms23094471. [PMID: 35562862 PMCID: PMC9103552 DOI: 10.3390/ijms23094471] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 04/03/2022] [Accepted: 04/12/2022] [Indexed: 01/07/2023] Open
Abstract
Astrocytoma is the most common and aggressive tumor of the central nervous system. Genetic and environmental factors, bacterial infection, and several other factors are known to be involved in gliomagenesis, although the complete underlying molecular mechanism is not fully understood. Tumorigenesis is a multistep process involving initiation, promotion, and progression. We present a human model of malignant astrocyte transformation established by subjecting primary astrocytes from healthy adults to four sequential cycles of forced anchorage impediment (deadhesion). After limiting dilution of the surviving cells obtained after the fourth deadhesion/readhesion cycle, three clones were randomly selected, and exhibited malignant characteristics, including increased proliferation rate and capacity for colony formation, migration, and anchorage-independent growth in soft agar. Functional assay results for these clonal cells, including response to temozolomide, were comparable to U87MG—a human glioblastoma-derived cell lineage—reinforcing malignant cell transformation. RNA-Seq analysis by next-generation sequencing of the transformed clones relative to the primary astrocytes revealed upregulation of genes involved in the PI3K/AKT and Wnt/β-catenin signaling pathways, in addition to upregulation of genes related to epithelial–mesenchymal transition, and downregulation of genes related to aerobic respiration. These findings, at a molecular level, corroborate the change in cell behavior towards mesenchymal-like cell dedifferentiation. This linear progressive model of malignant human astrocyte transformation is unique in that neither genetic manipulation nor treatment with carcinogens are used, representing a promising tool for testing combined therapeutic strategies for glioblastoma patients, and furthering knowledge of astrocytoma transformation and progression.
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Chen X, Meng L, He B, Qi W, Jia L, Xu N, Hu F, Lv Y, Song W. Comprehensive Transcriptome Analysis Uncovers Hub Long Non-coding RNAs Regulating Potassium Use Efficiency in Nicotiana tabacum. FRONTIERS IN PLANT SCIENCE 2022; 13:777308. [PMID: 35432399 PMCID: PMC9008783 DOI: 10.3389/fpls.2022.777308] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 03/01/2022] [Indexed: 06/01/2023]
Abstract
Potassium (K) is the essential element for plant growth. It is one of the critical factors that determine crop yield, quality, and especially leaf development in tobacco. However, the molecular mechanism of potassium use efficiency (KUE), especially non-coding RNA, is still unknown. In this study, tobacco seedlings were employed, and their hydro-cultivation with K treatments of low and sufficient concentrations was engaged. Physiological analysis showed that low potassium treatment could promote malondialdehyde (MDA) accumulation and antioxidant enzyme activities such as peroxidase (POD), ascorbate-peroxidase (APX). After transcriptomic analysis, a total of 10,585 LncRNA transcripts were identified, and 242 of them were significantly differently expressed under potassium starvation. Furthermore, co-expression networks were constructed and generated 78 potential regulation modules in which coding gene and LncRNAs are involved and functional jointly. By further module-trait analysis and module membership (MM) ranking, nine modules, including 616 coding RNAs and 146 LncRNAs, showed a high correlation with K treatments, and 20 hub K-responsive LncRNAs were finally predicted. Following gene ontology (GO) analysis, the results showed potassium starvation inducing the pathway of antioxidative stress which is consistent with the physiology result mentioned above. Simultaneously, a part of detected LncRNAs, such as MSTRG.6626.1, MSTRG.11330.1, and MSTRG.16041.1, were co-relating with a bench of MYB, C3H, and NFYC transcript factors in response to the stress. Overall, this research provided a set of LncRNAs that respond to K concentration from starvation and sufficient supply. Simultaneously, the regulation network and potential co-functioning genes were listed as well. This massive dataset would serve as an outstanding clue for further study in tobacco and other plant species for nutrient physiology and molecular regulation mechanism.
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Affiliation(s)
- Xi Chen
- Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture, Tobacco Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Qingdao, China
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Lin Meng
- Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture, Tobacco Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Qingdao, China
| | - Bing He
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Weicong Qi
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Letian Jia
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Na Xu
- Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture, Tobacco Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Qingdao, China
| | - Fengqin Hu
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Yuanda Lv
- Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing, China
| | - Wenjing Song
- Key Laboratory of Tobacco Biology and Processing, Ministry of Agriculture, Tobacco Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Qingdao, China
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Kim J, Oh SH, Rodriguez-Bobadilla R, Vuong VM, Hubka V, Zhao X, Hoyer LL. Peering Into Candida albicans Pir Protein Function and Comparative Genomics of the Pir Family. Front Cell Infect Microbiol 2022; 12:836632. [PMID: 35372132 PMCID: PMC8975586 DOI: 10.3389/fcimb.2022.836632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 02/11/2022] [Indexed: 11/24/2022] Open
Abstract
The fungal cell wall, comprised primarily of protein and polymeric carbohydrate, maintains cell structure, provides protection from the environment, and is an important antifungal drug target. Pir proteins (proteins with internal repeats) are linked to cell wall β-1,3-glucan and are best studied in Saccharomyces cerevisiae. Sequential deletion of S. cerevisiae PIR genes produces strains with increasingly notable cell wall damage. However, a true null mutant lacking all five S. cerevisiae PIR genes was never constructed. Because only two PIR genes (PIR1, PIR32) were annotated in the Candida albicans genome, the initial goal of this work was to construct a true Δpir/Δpir null strain in this species. Unexpectedly, the phenotype of the null strain was almost indistinguishable from its parent, leading to the search for other proteins with Pir function. Bioinformatic approaches revealed nine additional C. albicans proteins that share a conserved Pir functional motif (minimally DGQ). Examination of the protein sequences revealed another conserved motif (QFQFD) toward the C-terminal end of each protein. Sequence similarities and presence of the conserved motif(s) were used to identify a set of 75 proteins across 16 fungal species that are proposed here as Pir proteins. The Pir family is greatly expanded in C. albicans and C. dubliniensis compared to other species and the orthologs are known to have specialized function during chlamydospore formation. Predicted Pir structures showed a conserved core of antiparallel beta-sheets and sometimes-extensive loops that contain amino acids with the potential to form linkages to cell wall components. Pir phylogeny demonstrated emergence of specific ortholog groups among the fungal species. Variation in gene expression patterns was noted among the ortholog groups during growth in rich medium. PIR allelic variation was quite limited despite the presence of a repeated sequence in many loci. Results presented here demonstrate that the Pir family is larger than previously recognized and lead to new hypotheses to test to better understand Pir proteins and their role in the fungal cell wall.
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Affiliation(s)
- Jisoo Kim
- Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Soon-Hwan Oh
- Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | | | - Vien M. Vuong
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Vit Hubka
- Department of Botany, Faculty of Science, Charles University, Prague, Czechia
- Laboratory of Fungal Genetics and Metabolism, Institute of Microbiology, Czech Academy of Sciences, Prague, Czechia
| | - Xiaomin Zhao
- Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Lois L. Hoyer
- Department of Pathobiology, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States
- *Correspondence: Lois L. Hoyer,
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50
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Park SJ, Kang YE, Kim JH, Park JL, Kim SK, Baek SW, Chu IS, Yi S, Lee SE, Park YJ, Jung EJ, Kim JM, Ko HM, Kim JR, Jung SN, Won HR, Chang JW, Koo BS, Kim SY. Transcriptomic analysis of papillary thyroid cancer focused on immune-subtyping, oncogenic fusion, and recurrence. Clin Exp Otorhinolaryngol 2022; 15:183-193. [PMID: 35255661 PMCID: PMC9149236 DOI: 10.21053/ceo.2021.02215] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 01/08/2022] [Indexed: 11/22/2022] Open
Abstract
Objectives Thyroid cancer is the most common endocrine tumor, with rapidly increasing incidence worldwide. However, its transcriptomic characteristics associated with immunological signatures, driver fusions, and recurrence markers remain unclear. We aimed to investigate the transcriptomic characteristics of advanced papillary thyroid cancer. Methods This study included 282 papillary thyroid cancer tumor samples and 155 normal samples from Chungnam National University Hospital and Seoul National University Hospital. Transcriptomic quantification was determined by high-throughput RNA sequencing. We investigated the associations of clinical parameters and molecular signatures using RNA sequencing. We validated predictive biomarkers using the Cancer Genome Atlas database. Results Through a comparison of differentially expressed genes, gene sets, and pathways in papillary thyroid cancer compared to normal tumor-adjacent tissue, we found increased immune signaling associated with cytokines or T cells and decreased thyroid hormone synthetic pathways. In addition, patients with recurrence presented increased CD8+ T-cell and Th1-cell signatures. Interestingly, we found differentially overexpressed genes related to immune-escape signaling such as CTLA4, IDO1, LAG3, and PDCD1 in advanced papillary thyroid cancer with a low thyroid differentiation score. Fusion analysis showed that the PI3K and mitogen-activated protein kinase (MAPK) signaling pathways were regulated differently according to the RET fusion partner genes (CCDC6 or NCOA4). Finally, we identified HOXD9 as a novel molecular biomarker that predicts the recurrence of thyroid cancer in addition to known risk factors (tumor size, lymph node metastasis, and extrathyroidal extension). Conclusion We identified a high association with immune-escape signaling in the immune-hot group with aggressive clinical characteristics among Korean thyroid cancer patients. Moreover, RET fusion differentially regulated PI3K and MAPK signaling depending on the partner gene of RET, and HOXD9 was found to be a recurrence marker for advanced papillary thyroid cancer.
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