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Bondzie-Quaye P, Sossah FL, Swallah MS, Fetisoa MR, Bashir MA, Huang Q. Genome-wide identification and expression analysis of epigenetic regulator gene families in the medicinal mushroom Ganoderma lucidum. Arch Microbiol 2025; 207:121. [PMID: 40232504 DOI: 10.1007/s00203-025-04326-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2025] [Revised: 03/25/2025] [Accepted: 04/02/2025] [Indexed: 04/16/2025]
Abstract
Epigenetic regulator (ER) genes, crucial for fungal growth and development, remain largely unexplored in Ganoderma lucidum, a medicinal mushroom valued for its bioactive compounds. This study identified 81 ER genes in G. lucidum, distributed across 12 chromosomes and classified into six families: 3 chromatin remodelers, 4 DNA methyltransferases, 7 histone acetyltransferases, 22 histone deacetylases, 23 histone methyltransferases, and 22 histone demethyltransferases. Comparative and phylogenetic analyses with other species revealed conserved orthologs and species-specific clusters. Gene duplication analysis suggested whole-genome duplication expanded ER gene families, primarily histone demethyltransferases under purifying selection. Additionally, gene structure, motif, and domain analyses revealed family-specific intron/exon organization and conserved domains. Transcriptome profiling across four developmental stages (mycelium, primordia, young and mature fruiting body) revealed dynamic stage-specific expression patterns, suggesting their developmental significance. The result of qRT-PCR validated the expression patterns for 18 ER genes, laying foundation for future research exploring epigenetic regulation in fungal development and bioactive compound production.
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Affiliation(s)
- Precious Bondzie-Quaye
- CAS Key Laboratory of High Magnetic Field and Iron Beam Physical Biology, Institute of Intelligent Agriculture, Institute of Intelligent Machines, Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026, China
| | - Frederick Leo Sossah
- Council for Scientific and Industrial Research (CSIR), Oil Palm Research Institute, Coconut Research Programme, P.O.Box 245, Sekondi, Ghana
- Engineering Research Center of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun, 130118, China
| | - Mohammed Sharif Swallah
- CAS Key Laboratory of High Magnetic Field and Iron Beam Physical Biology, Institute of Intelligent Agriculture, Institute of Intelligent Machines, Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026, China
| | - Monia Ravelonandrasana Fetisoa
- CAS Key Laboratory of High Magnetic Field and Iron Beam Physical Biology, Institute of Intelligent Agriculture, Institute of Intelligent Machines, Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026, China
| | - Mona Alrasheed Bashir
- CAS Key Laboratory of High Magnetic Field and Iron Beam Physical Biology, Institute of Intelligent Agriculture, Institute of Intelligent Machines, Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, China
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026, China
| | - Qing Huang
- CAS Key Laboratory of High Magnetic Field and Iron Beam Physical Biology, Institute of Intelligent Agriculture, Institute of Intelligent Machines, Hefei Institute of Physical Sciences, Chinese Academy of Sciences, Hefei, 230031, China.
- Science Island Branch of Graduate School, University of Science and Technology of China, Hefei, 230026, China.
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Gorashi RM, Baddour T, Chittle SJ, Félix Vélez NE, Wenning MA, Anseth KS, Mestroni L, Peña B, Guo P, Aguado BA. Y chromosome-linked UTY modulates sex differences in valvular fibroblast methylation in response to nanoscale extracellular matrix cues. SCIENCE ADVANCES 2025; 11:eads5717. [PMID: 40073144 PMCID: PMC11900877 DOI: 10.1126/sciadv.ads5717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Accepted: 02/05/2025] [Indexed: 03/14/2025]
Abstract
Aortic valve stenosis (AVS) is a progressive disease, wherein males more often develop valve calcification relative to females that develop valve fibrosis. Valvular interstitial cells (VICs) aberrantly activate to myofibroblasts during AVS, driving the fibrotic valve phenotype in females. Myofibroblasts further differentiate into osteoblast-like cells and produce calcium nanoparticles, driving valve calcification in males. We hypothesized that the lysine demethylase UTY (ubiquitously transcribed tetratricopeptide repeat containing Y-linked) decreases methylation uniquely in male VICs responding to nanoscale extracellular matrix cues to promote an osteoblast-like cell phenotype. Here, we describe a hydrogel biomaterial cell culture platform to interrogate how nanoscale cues modulate sex-specific methylation states in VICs activating to myofibroblasts and osteoblast-like cells. We found that UTY modulates the osteoblast-like cell phenotype in response to nanoscale cues uniquely in male VICs. Overall, we reveal a previously unidentified role of UTY in the regulation of calcification processes in males during AVS progression.
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Affiliation(s)
- Rayyan M. Gorashi
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, USA
| | - Talia Baddour
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, USA
| | - Sarah J. Chittle
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, USA
| | - Nicole E. Félix Vélez
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, USA
| | - Michaela A. Wenning
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80303, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Kristi S. Anseth
- Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80303, USA
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80309, USA
| | - Luisa Mestroni
- Division of Cardiology, School of Medicine, Cardiovascular Institute, University of Colorado Denver Anschutz Medical Campus, 12700 E.19th Avenue, Bldg. P15, Aurora, CO 80045, USA
- Division of Cardiology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E.19th Avenue, Bldg. P15, Aurora, CO 80045, USA
| | - Brisa Peña
- Division of Cardiology, School of Medicine, Cardiovascular Institute, University of Colorado Denver Anschutz Medical Campus, 12700 E.19th Avenue, Bldg. P15, Aurora, CO 80045, USA
- Division of Cardiology, Department of Medicine, University of Colorado Anschutz Medical Campus, 12700 E.19th Avenue, Bldg. P15, Aurora, CO 80045, USA
- Department of Bioengineering, University of Colorado Denver Anschutz Medical Campus, Bioscience 2 1270 E. Montview Avenue, Suite 100, Aurora, CO 80045, USA
| | - Peng Guo
- Nikon Imaging Center, Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Brian A. Aguado
- Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
- Sanford Consortium for Regenerative Medicine, La Jolla, CA 92037, USA
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Ibrahim M, Bednarczyk M, Stadnicka K, Grochowska E. Inter- and Transgenerational Effects of In Ovo Stimulation with Bioactive Compounds on Cecal Tonsils and Cecal Mucosa Transcriptomes in a Chicken Model. Int J Mol Sci 2025; 26:1174. [PMID: 39940944 PMCID: PMC11817890 DOI: 10.3390/ijms26031174] [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: 12/18/2024] [Revised: 01/14/2025] [Accepted: 01/17/2025] [Indexed: 02/16/2025] Open
Abstract
Exploring how early-life nutritional interventions may impact future generations, this study examines the inter- and transgenerational effects of in ovo injection of bioactive compounds on gene expression in the cecal tonsils and cecal mucosa using a chicken model. Synbiotic PoultryStar® (Biomin) and choline were injected in ovo on the 12th day of egg incubation. Three experimental groups were established in the generation F1: (1) a control group (C) receiving 0.9% physiological saline (NaCl), (2) a synbiotic group (SYN) receiving 2 mg/embryo, and (3) a combined synbiotic and choline group (SYNCH) receiving 2 mg synbiotic and 0.25 mg choline per embryo. For the generations F2 and F3, the SYN and SYNCH groups were each divided into two subgroups: (A) those injected solely in F1 (SYNs and SYNCHs) and (B) those injected in each generation (SYNr and SYNCHr). At 21 weeks posthatching, cecal tonsil and cecal mucosa samples were collected from F1, F2, and F3 birds for transcriptomic analysis. Gene expression profiling revealed distinct intergenerational and transgenerational patterns in both tissues. In cecal tonsils, a significant transgenerational impact on gene expression was noted in the generation F3, following a drop in F2. In contrast, cecal mucosa showed more gene expression changes in F2, indicating intergenerational effects. While some effects carried into F3, they were less pronounced, except in the SYNs group, which experienced an increase compared to F2. The study highlights that transgenerational effects of epigenetic modifications are dynamic and unpredictable, with effects potentially re-emerging in later generations under certain conditions or fading or intensifying over time. This study provides valuable insights into how epigenetic nutritional stimulation during embryonic development may regulate processes in the cecal tonsils and cecal mucosa across multiple generations. Our findings provide evidence supporting the phenomenon of epigenetic dynamics in a chicken model.
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Affiliation(s)
- Mariam Ibrahim
- Faculty of Health Sciences, Collegium Medicum, Nicolaus Copernicus University, Łukasiewicza 1, 85-821 Bydgoszcz, Poland; (M.I.); (K.S.)
- PBS Doctoral School, Bydgoszcz University of Science and Technology, Aleje prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland
| | - Marek Bednarczyk
- Department of Animal Biotechnology and Genetics, Bydgoszcz University of Science and Technology, Mazowiecka 28, 85-084 Bydgoszcz, Poland
| | - Katarzyna Stadnicka
- Faculty of Health Sciences, Collegium Medicum, Nicolaus Copernicus University, Łukasiewicza 1, 85-821 Bydgoszcz, Poland; (M.I.); (K.S.)
| | - Ewa Grochowska
- Faculty of Health Sciences, Collegium Medicum, Nicolaus Copernicus University, Łukasiewicza 1, 85-821 Bydgoszcz, Poland; (M.I.); (K.S.)
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Vo K, Sharma Y, Chakravarthi VP, Mohamadi R, Bahadursingh ES, Mohamadi A, Dahiya V, Rosales CY, Pei GJ, Fields PE, Rumi MAK. Altered Expression of Epigenetic and Transcriptional Regulators in ERβ Knockout Rat Ovaries During Postnatal Development. Int J Mol Sci 2025; 26:760. [PMID: 39859473 PMCID: PMC11765817 DOI: 10.3390/ijms26020760] [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: 11/15/2024] [Revised: 01/04/2025] [Accepted: 01/11/2025] [Indexed: 01/27/2025] Open
Abstract
We analyzed the transcriptome data of wildtype and estrogen receptor β knockout (ErβKO) rat ovaries during the early postnatal period and detected remarkable changes in epigenetic regulators and transcription factors. Compared with postnatal day (PD) 4.5 ovaries, PD 6.5 wildtype ovaries possessed 581 differentially expressed downstream transcripts (DEDTs), including 17 differentially expressed epigenetic regulators (DEERs) and 23 differentially expressed transcription factors (DETFs). Subsequently, compared with PD 6.5 ovaries, PD 8.5 wildtype ovaries showed 920 DEDTs, including 24 DEERs and 68 DETFs. The DEDTs, DEERs, and DETFs in wildtype ovaries represented the gene expression during primordial follicle activation and the gradual development of primary follicles of first-wave origin because the second-wave follicles remained dormant during this developmental period. When we compared the transcriptome data of age-matched ErβKO ovaries, we observed that PD 6.5 ErβKO ovaries had 744 DEDTs compared with PD 4.5 ovaries, including 46 DEERs and 55 DETFs. The loss of ERβ rapidly activated the primordial follicles of both first- and second-wave origin on PD 6.5 and showed a remarkable increase in DEDTs (744 vs. 581). However, compared with PD 6.5 ovaries, PD 8.5 ErβKO ovaries showed only 191 DEDTs, including 8 DEERs and 10 DETFs. This finding suggests that the PD 8.5 ErβKO ovaries did not undergo remarkable ovarian follicle activation greater than that had already occurred in PD 6.5 ErβKO ovaries. The results also showed that the numbers of DEERs and DETFs were associated with increased changes in DEDTs; the greater the number of DEERs or DETFs, the larger the number of DEDTs. In addition to the quantitative differences in DEERs and DETFs between the wildtype and ErβKO ovaries, the differentially expressed regulators showed distinct patterns. We identified that 17 transcripts were tied to follicle assembly, 6 to follicle activation, and 12 to steroidogenesis. Our observations indicate that a loss of ERβ dysregulates the epigenetic regulators and transcription factors in ErβKO ovaries, which disrupts the downstream genes in ovarian follicles and increases follicle activation. Further studies are required to clarify if ERβ directly or indirectly regulates DEDTs, including DEERs and DETFs, during the neonatal development of rat ovarian follicles.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - M. A. Karim Rumi
- Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA; (K.V.); (Y.S.); (V.P.C.); (R.M.); (E.S.B.); (A.M.); (V.D.); (C.Y.R.); (P.E.F.)
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Pahelkar A, Sharma D, Vohra P, Sawant S. Leveraging Multi-Omics Approaches and Advanced Technologies to Unravel the Molecular Complexities, Modifiers, and Precision Medicine Strategies for Hemoglobin H Disease. Eur J Haematol 2024; 113:738-744. [PMID: 39385444 DOI: 10.1111/ejh.14319] [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: 07/26/2024] [Revised: 09/24/2024] [Accepted: 09/25/2024] [Indexed: 10/12/2024]
Abstract
Hemoglobin H (HbH) disease, a form of alpha-thalassemia, poses significant clinical challenges due to its complex molecular underpinnings. It is characterized by reduced synthesis of the alpha-globin chain. The integration of multi-omics and precision medicine holds immense potential to comprehensively understand and capture interactions at the molecular and genetic levels. This review integrates current multi-omics approaches and advanced technologies in HbH research. Furthermore, it delves into detailed pathophysiology and possible therapeutics in the upcoming future. We explore the role of genomics, transcriptomics, proteomics, and metabolomics studies, alongside bioinformatics tools and gene-editing technologies like CRISPR/Cas9, to identify genetic modifiers, decipher molecular pathways, and discover therapeutic targets. Recent advancements are unveiling novel genetic and epigenetic modifiers impacting HbH disease severity, paving the way for personalized precision medicine interventions. The significance of multi-omics research in unraveling the complexities of rare diseases like HbH is underscored, highlighting its potential to revolutionize clinical practice through precision medicine approaches. This paradigm shift can pave the way for a deeper understanding of HbH complexities and improved disease management.
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Affiliation(s)
- Akshata Pahelkar
- SVKM's Dr. Bhanuben Nanavati College of Pharmacy, Mumbai, Maharashtra, India
| | - Deep Sharma
- MES's H. K. College of Pharmacy, Mumbai, Maharashtra, India
| | - Payaam Vohra
- MES's H. K. College of Pharmacy, Mumbai, Maharashtra, India
| | - Sayli Sawant
- MES's H. K. College of Pharmacy, Mumbai, Maharashtra, India
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Shi A, Lin C, Lyu J. Decoding functional impact of epigenetic regulator mutations on ligand-receptor interaction perturbations for evaluation of cancer immunotherapy. J Cell Mol Med 2024; 28:e70009. [PMID: 39323009 PMCID: PMC11424496 DOI: 10.1111/jcmm.70009] [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: 05/20/2024] [Revised: 06/20/2024] [Accepted: 07/24/2024] [Indexed: 09/27/2024] Open
Abstract
Cellular crosstalk mediated by ligand-receptor interactions largely complicates the tumour ecosystem, resulting in heterogeneous tumour microenvironments that affect immune response and clinical benefits from immunotherapy. Epigenetic mechanisms are pivotal to expression changes of immune-related genes and can modulate the anti-tumour immune response. However, the functional consequences of disrupted epigenetic regulators (ERs) on ligand-receptor interactions in the tumour microenvironment remain largely unexplored. Here, we proposed mutations of ERs in perturbed interactions (MERIN), a molecular network-based approach that incorporates multi-omics data, to infer the potential consequences of ER mutations on ligand-receptor interaction perturbations. Leveraging cancer genomic profiles and molecular interaction data, we comprehensively decoded the functional consequences of ER mutations on dysregulated ligand-receptor interactions across 33 cancers. The dysregulated ligand-receptor genes were indeed enriched in cancer and immune-related function. We demonstrated the potential significance of PD1-PDL1 interaction-related ER mutations in stratifying cancer patients from multiple independent data cohorts. The ER mutation group showed distinct immunological characterizations and prognoses. Furthermore, we highlighted that the ER mutations could potentially predict clinical outcomes of immunotherapy. Our computational and clinical assessment underscore the utility of MERIN for elucidating the functional relevance of ER mutations in cancer immune response, potentially aiding patients' stratification for immunotherapy.
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Affiliation(s)
- Aiai Shi
- Joint Centre of Translational Medicine, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, People's Republic of China
- Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing, People's Republic of China
- Joint Centre of Translational Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Chaohuan Lin
- Joint Centre of Translational Medicine, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, People's Republic of China
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
| | - Jie Lyu
- Joint Centre of Translational Medicine, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang, People's Republic of China
- Joint Centre of Translational Medicine, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People's Republic of China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang, People's Republic of China
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McGrath MK, Abolhassani A, Guy L, Elshazly AM, Barrett JT, Mivechi NF, Gewirtz DA, Schoenlein PV. Autophagy and senescence facilitate the development of antiestrogen resistance in ER positive breast cancer. Front Endocrinol (Lausanne) 2024; 15:1298423. [PMID: 38567308 PMCID: PMC10986181 DOI: 10.3389/fendo.2024.1298423] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 02/26/2024] [Indexed: 04/04/2024] Open
Abstract
Estrogen receptor positive (ER+) breast cancer is the most common breast cancer diagnosed annually in the US with endocrine-based therapy as standard-of-care for this breast cancer subtype. Endocrine therapy includes treatment with antiestrogens, such as selective estrogen receptor modulators (SERMs), selective estrogen receptor downregulators (SERDs), and aromatase inhibitors (AIs). Despite the appreciable remission achievable with these treatments, a substantial cohort of women will experience primary tumor recurrence, subsequent metastasis, and eventual death due to their disease. In these cases, the breast cancer cells have become resistant to endocrine therapy, with endocrine resistance identified as the major obstacle to the medical oncologist and patient. To combat the development of endocrine resistance, the treatment options for ER+, HER2 negative breast cancer now include CDK4/6 inhibitors used as adjuvants to antiestrogen treatment. In addition to the dysregulated activity of CDK4/6, a plethora of genetic and biochemical mechanisms have been identified that contribute to endocrine resistance. These mechanisms, which have been identified by lab-based studies utilizing appropriate cell and animal models of breast cancer, and by clinical studies in which gene expression profiles identify candidate endocrine resistance genes, are the subject of this review. In addition, we will discuss molecular targeting strategies now utilized in conjunction with endocrine therapy to combat the development of resistance or target resistant breast cancer cells. Of approaches currently being explored to improve endocrine treatment efficacy and patient outcome, two adaptive cell survival mechanisms, autophagy, and "reversible" senescence, are considered molecular targets. Autophagy and/or senescence induction have been identified in response to most antiestrogen treatments currently being used for the treatment of ER+ breast cancer and are often induced in response to CDK4/6 inhibitors. Unfortunately, effective strategies to target these cell survival pathways have not yet been successfully developed. Thus, there is an urgent need for the continued interrogation of autophagy and "reversible" senescence in clinically relevant breast cancer models with the long-term goal of identifying new molecular targets for improved treatment of ER+ breast cancer.
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Affiliation(s)
- Michael K. McGrath
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
- Department of Cellular Biology & Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Ali Abolhassani
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
- Department of Cellular Biology & Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Luke Guy
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
- Department of Cellular Biology & Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Ahmed M. Elshazly
- Department of Pharmacology & Toxicology, Virginia Commonwealth University, Richmond, VA, United States
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
- Department of Pharmacology and Toxicology, Faculty of Pharmacy, Kafrelsheikh University, Kafrelsheikh, Egypt
| | - John T. Barrett
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
- Department of Radiation Oncology, Georgia Cancer Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - Nahid F. Mivechi
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
- Department of Radiation Oncology, Georgia Cancer Center, Medical College of Georgia at Augusta University, Augusta, GA, United States
| | - David A. Gewirtz
- Department of Pharmacology & Toxicology, Virginia Commonwealth University, Richmond, VA, United States
- Massey Comprehensive Cancer Center, Virginia Commonwealth University, Richmond, VA, United States
| | - Patricia V. Schoenlein
- Georgia Cancer Center, Augusta University, Augusta, GA, United States
- Department of Cellular Biology & Anatomy, Medical College of Georgia at Augusta University, Augusta, GA, United States
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Shi A, Lin C, Wang J, Chen Y, Zhong J, Lyu J. EPRIM: An approach of identifying cancer immune-related epigenetic regulators. MOLECULAR THERAPY. NUCLEIC ACIDS 2024; 35:102100. [PMID: 38222302 PMCID: PMC10784696 DOI: 10.1016/j.omtn.2023.102100] [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: 08/01/2023] [Accepted: 12/08/2023] [Indexed: 01/16/2024]
Abstract
Epigenetic regulation contributes to the dysregulation of gene expression involved in cancer biology. Nevertheless, the roles of epigenetic regulators (ERs) in tumor immunity and immune response remain basically unclear. Here, we developed the epigenetic regulator in immunology (EPRIM) approach to identify immune-related ERs and comprehensively dissected the ER regulation in tumor immune response across 33 cancers. The identified immune-related ERs were related to immune infiltration and could stratify cancer patients into two risk groups in multiple independent datasets. These patient groups were characterized by distinct immune functions, immune infiltrates, driver gene mutations, and prognoses. Furthermore, we constructed an immune ER-based signature and highlighted its potential utility in predicting clinical benefit from immunotherapy and selecting therapeutic agents. Taken together, our identification and evaluation of immune-related ERs highlight the usefulness of EPRIM for the understanding of ERs in immune regulation and the clinical relevance in evaluation of cancer patient prognosis and response to immune checkpoint blockade therapy.
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Affiliation(s)
- Aiai Shi
- Joint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, People’s Republic of China
- Joint Centre of Translational Medicine, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, People’s Republic of China
- Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, People’s Republic of China
| | - Chaohuan Lin
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, People’s Republic of China
| | - Jilu Wang
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, People’s Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
| | - Ying’ao Chen
- Postgraduate Training Base Alliance of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
- Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325000, People’s Republic of China
| | - Jinjin Zhong
- Wenzhou Key Laboratory of Biophysics, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
| | - Jie Lyu
- Joint Centre of Translational Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, People’s Republic of China
- Joint Centre of Translational Medicine, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, People’s Republic of China
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, Zhejiang 325001, People’s Republic of China
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9
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Lui JC. Growth disorders caused by variants in epigenetic regulators: progress and prospects. Front Endocrinol (Lausanne) 2024; 15:1327378. [PMID: 38370361 PMCID: PMC10870149 DOI: 10.3389/fendo.2024.1327378] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/17/2024] [Indexed: 02/20/2024] Open
Abstract
Epigenetic modifications play an important role in regulation of transcription and gene expression. The molecular machinery governing epigenetic modifications, also known as epigenetic regulators, include non-coding RNA, chromatin remodelers, and enzymes or proteins responsible for binding, reading, writing and erasing DNA and histone modifications. Recent advancement in human genetics and high throughput sequencing technology have allowed the identification of causative variants, many of which are epigenetic regulators, for a wide variety of childhood growth disorders that include skeletal dysplasias, idiopathic short stature, and generalized overgrowth syndromes. In this review, we highlight the connection between epigenetic modifications, genetic variants in epigenetic regulators and childhood growth disorders being established over the past decade, discuss their insights into skeletal biology, and the potential of epidrugs as a new type of therapeutic intervention.
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Affiliation(s)
- Julian C. Lui
- Section on Growth and Development, National Institute of Child Health and Human Development, Bethesda, MD, United States
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10
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Abondio P, Cilli E, Luiselli D. Human Pangenomics: Promises and Challenges of a Distributed Genomic Reference. Life (Basel) 2023; 13:1360. [PMID: 37374141 DOI: 10.3390/life13061360] [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: 05/15/2023] [Revised: 06/02/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
A pangenome is a collection of the common and unique genomes that are present in a given species. It combines the genetic information of all the genomes sampled, resulting in a large and diverse range of genetic material. Pangenomic analysis offers several advantages compared to traditional genomic research. For example, a pangenome is not bound by the physical constraints of a single genome, so it can capture more genetic variability. Thanks to the introduction of the concept of pangenome, it is possible to use exceedingly detailed sequence data to study the evolutionary history of two different species, or how populations within a species differ genetically. In the wake of the Human Pangenome Project, this review aims at discussing the advantages of the pangenome around human genetic variation, which are then framed around how pangenomic data can inform population genetics, phylogenetics, and public health policy by providing insights into the genetic basis of diseases or determining personalized treatments, targeting the specific genetic profile of an individual. Moreover, technical limitations, ethical concerns, and legal considerations are discussed.
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Affiliation(s)
- Paolo Abondio
- Laboratory of Ancient DNA, Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy
| | - Elisabetta Cilli
- Laboratory of Ancient DNA, Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy
| | - Donata Luiselli
- Laboratory of Ancient DNA, Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy
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Fan Y, Zhang Z, Deng K, Kang Z, Guo J, Zhang G, Zhang Y, Wang F. CircUBE3A promotes myoblasts proliferation and differentiation by sponging miR-28-5p to enhance expression. Int J Biol Macromol 2023; 226:730-745. [PMID: 36526061 DOI: 10.1016/j.ijbiomac.2022.12.064] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 11/18/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022]
Abstract
circRNAs have been found to be involved in the regulatory network of skeletal muscle development in studies. However, their precise functions and regulatory mechanisms remain unknown. The expression patterns and alterations of circRNAs in the longissimus dorsi muscle of two major developmental stages of goats (D75 fetus and D1 kid) were studied using high-throughput sequencing technology and bioinformatics tools in this study. In kid skeletal muscles, 831 differently expressed circRNAs were found, comprising 486 up-regulated circRNAs and 345 down-regulated circRNAs. In skeletal muscle, we focused on the highly expressed and variably expressed circUBE3A. CircUBE3A levels were discovered to be much higher in kid skeletal muscle and differentiated myoblasts. Knocking down circUBE3A resulted in a significant increase in cell proliferation and differentiation in goat myoblasts. CircUBE3A specifically binds to and inhibits miR-28-5p, boosting the expression of Hydroxyacyl Coenzyme A Dehydrogenase Beta (HADHB) and contributing to goat myoblast proliferation and differentiation, according to the mechanistic investigation. The above results indicated that circUBE3A could regulate HADHB expression by targeting miR-28-5p, consequently increasing goat myoblast proliferation and differentiation. Our findings offer fresh perspectives on goat breeding and growth regulation, as well as substantial theoretical basis.
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Affiliation(s)
- Yixuan Fan
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhen Zhang
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Kaiping Deng
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Ziqi Kang
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Jinjing Guo
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Guomin Zhang
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Yanli Zhang
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Feng Wang
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China.
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