1
|
Nickerson JA, Momen-Heravi F. Long non-coding RNAs: roles in cellular stress responses and epigenetic mechanisms regulating chromatin. Nucleus 2024; 15:2350180. [PMID: 38773934 PMCID: PMC11123517 DOI: 10.1080/19491034.2024.2350180] [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: 01/18/2024] [Accepted: 04/22/2024] [Indexed: 05/24/2024] Open
Abstract
Most of the genome is transcribed into RNA but only 2% of the sequence codes for proteins. Non-coding RNA transcripts include a very large number of long noncoding RNAs (lncRNAs). A growing number of identified lncRNAs operate in cellular stress responses, for example in response to hypoxia, genotoxic stress, and oxidative stress. Additionally, lncRNA plays important roles in epigenetic mechanisms operating at chromatin and in maintaining chromatin architecture. Here, we address three lncRNA topics that have had significant recent advances. The first is an emerging role for many lncRNAs in cellular stress responses. The second is the development of high throughput screening assays to develop causal relationships between lncRNAs across the genome with cellular functions. Finally, we turn to recent advances in understanding the role of lncRNAs in regulating chromatin architecture and epigenetics, advances that build on some of the earliest work linking RNA to chromatin architecture.
Collapse
Affiliation(s)
- Jeffrey A Nickerson
- Division of Genes & Development, Department of Pediatrics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Fatemeh Momen-Heravi
- College of Dental Medicine, Columbia University Medical Center, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| |
Collapse
|
2
|
Henninger JE, Young RA. An RNA-centric view of transcription and genome organization. Mol Cell 2024; 84:3627-3643. [PMID: 39366351 DOI: 10.1016/j.molcel.2024.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 08/13/2024] [Accepted: 08/16/2024] [Indexed: 10/06/2024]
Abstract
Foundational models of transcriptional regulation involve the assembly of protein complexes at DNA elements associated with specific genes. These assemblies, which can include transcription factors, cofactors, RNA polymerase, and various chromatin regulators, form dynamic spatial compartments that contribute to both gene regulation and local genome architecture. This DNA-protein-centric view has been modified with recent evidence that RNA molecules have important roles to play in gene regulation and genome structure. Here, we discuss evidence that gene regulation by RNA occurs at multiple levels that include assembly of transcriptional complexes and genome compartments, feedback regulation of active genes, silencing of genes, and control of protein kinases. We thus provide an RNA-centric view of transcriptional regulation that must reside alongside the more traditional DNA-protein-centric perspectives on gene regulation and genome architecture.
Collapse
Affiliation(s)
- Jonathan E Henninger
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
| | - Richard A Young
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| |
Collapse
|
3
|
Anver S, Sumit AF, Sun XM, Hatimy A, Thalassinos K, Marguerat S, Alic N, Bähler J. Ageing-associated long non-coding RNA extends lifespan and reduces translation in non-dividing cells. EMBO Rep 2024:10.1038/s44319-024-00265-9. [PMID: 39358553 DOI: 10.1038/s44319-024-00265-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2024] [Revised: 09/07/2024] [Accepted: 09/11/2024] [Indexed: 10/04/2024] Open
Abstract
Genomes produce widespread long non-coding RNAs (lncRNAs) of largely unknown functions. We characterize aal1 (ageing-associated lncRNA), which is induced in quiescent fission yeast cells. Deletion of aal1 shortens the chronological lifespan of non-dividing cells, while ectopic overexpression prolongs their lifespan, indicating that aal1 acts in trans. Overexpression of aal1 represses ribosomal-protein gene expression and inhibits cell growth, and aal1 genetically interacts with coding genes functioning in protein translation. The aal1 lncRNA localizes to the cytoplasm and associates with ribosomes. Notably, aal1 overexpression decreases the cellular ribosome content and inhibits protein translation. The aal1 lncRNA binds to the rpl1901 mRNA, encoding a ribosomal protein. The rpl1901 levels are reduced ~2-fold by aal1, which is sufficient to extend lifespan. Remarkably, the expression of the aal1 lncRNA in Drosophila boosts fly lifespan. We propose that aal1 reduces the ribosome content by decreasing Rpl1901 levels, thus attenuating the translational capacity and promoting longevity. Although aal1 is not conserved, its effect in flies suggests that animals feature related mechanisms that modulate ageing, based on the conserved translational machinery.
Collapse
Affiliation(s)
- Shajahan Anver
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Ahmed Faisal Sumit
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Xi-Ming Sun
- Institute of Clinical Sciences, Imperial College London, London, W12 0NN, UK
- MRC London Institute of Medical Sciences (LMS), London, W12 0NN, UK
| | - Abubakar Hatimy
- Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK
| | - Konstantinos Thalassinos
- Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London, WC1E 6BT, UK
- Institute of Structural and Molecular Biology, Birkbeck College, University of London, London, WC1E 7HX, UK
| | - Samuel Marguerat
- Institute of Clinical Sciences, Imperial College London, London, W12 0NN, UK
- MRC London Institute of Medical Sciences (LMS), London, W12 0NN, UK
- UCL Cancer Institute, University College London, London, WC1E 6BT, UK
| | - Nazif Alic
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK
| | - Jürg Bähler
- Institute of Healthy Ageing, Research Department of Genetics, Evolution and Environment, University College London, London, WC1E 6BT, UK.
| |
Collapse
|
4
|
Yazarlou F, Martinez I, Lipovich L. Radiotherapy and breast cancer: finally, an lncRNA perspective on radiosensitivity and radioresistance. Front Oncol 2024; 14:1437542. [PMID: 39346726 PMCID: PMC11427263 DOI: 10.3389/fonc.2024.1437542] [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: 05/23/2024] [Accepted: 08/01/2024] [Indexed: 10/01/2024] Open
Abstract
Radiotherapy (RT) serves as one of the key adjuvant treatments in management of breast cancer. Nevertheless, RT has two major problems: side effects and radioresistance. Given that patients respond differently to RT, it is imperative to understand the molecular mechanisms underlying these differences. Two-thirds of human genes do not encode proteins, as we have realized from genome-scale studies conducted after the advent of the genomic era; nevertheless, molecular understanding of breast cancer to date has been attained almost entirely based on protein-coding genes and their pathways. Long non-coding RNAs (lncRNAs) are a poorly understood but abundant class of human genes that yield functional non-protein-coding RNA transcripts. Here, we canvass the field to seek evidence for the hypothesis that lncRNAs contribute to radioresistance in breast cancer. RT-responsive lncRNAs ranging from "classical" lncRNAs discovered at the dawn of the post-genomic era (such as HOTAIR, NEAT1, and CCAT), to long intergenic lncRNAs such as LINC00511 and LINC02582, antisense lncRNAs such as AFAP-AS1 and FGD5-AS1, and pseudogene transcripts such as DUXAP8 were found during our screen of the literature. Radiation-related pathways modulated by these lncRNAs include DNA damage repair, cell cycle, cancer stem cells phenotype and apoptosis. Thus, providing a clear picture of these lncRNAs' underlying RT-relevant molecular mechanisms should help improve overall survival and optimize the best radiation dose for each individual patient. Moreover, in healthy humans, lncRNAs show greater natural expression variation than protein-coding genes, even across individuals, alluding to their exceptional potential for targeting in truly personalized, precision medicine.
Collapse
Affiliation(s)
- Fatemeh Yazarlou
- Center for Childhood Cancer, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, United States
| | - Ivan Martinez
- Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, WV, United States
| | - Leonard Lipovich
- Department of Biology, College of Science, Mathematics, and Technology, Wenzhou-Kean University, Wenzhou, China
- Shenzhen Huayuan Biological Science Research Institute, Shenzhen Huayuan Biotechnology Co. Ltd., Shenzhen, China
- Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI, United States
| |
Collapse
|
5
|
Bedre R, Kavuri NR, Ramasamy M, Irigoyen S, Nelson A, Rajkumar MS, Mandadi K. Long intergenic non-coding RNAs modulate proximal protein-coding gene expression and tolerance to Candidatus Liberibacter spp. in potatoes. Commun Biol 2024; 7:1095. [PMID: 39242868 PMCID: PMC11379938 DOI: 10.1038/s42003-024-06763-9] [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: 11/27/2023] [Accepted: 08/21/2024] [Indexed: 09/09/2024] Open
Abstract
Long intergenic non-coding RNAs (lincRNAs) are emerging as regulators of protein-coding genes (PCGs) in many plant and animal developmental processes and stress responses. In this study, we characterize the genome-wide lincRNAs in potatoes responsive to a vascular bacterial disease presumably caused by Candidatus Liberibacter solanacearum (CLso). Approximately 4397 lincRNAs were detected in healthy and infected potato plants at various stages of zebra chip (ZC) disease progression. Of them, ~65% (2844) were novel lincRNAs, and less than 1% (9) were orthologs of Arabidopsis and rice based on reciprocal BLAST analysis, suggesting species-specific expansion. Among the proximal lincRNAs within 50 kbp from a PCG, ~49% were transcribed from the same strand, while ~39% and ~15% followed convergent (head-to-head) and divergent (tail-to-tail) orientations, respectively. Approximately 30% (1308) were differentially expressed following CLso infection, with substantial changes occurring 21 days after infection (DAI). Weighted Gene Co-expression Network Analysis (WGCNA) of lincRNAs and PCGs identified 46 highly correlated lincRNA-PCG pairs exhibiting co-up or co-downregulation. Furthermore, overexpression of selected lincRNAs in transgenic potato hairy roots resulted in perturbation of neighboring PCG expression and conferred tolerance to CLso infection. Our results provide novel insights into potato lincRNAs' identity, expression dynamics, and functional relevance to CLso infection.
Collapse
Affiliation(s)
- Renesh Bedre
- Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Weslaco, TX, USA
| | - Naga Rajitha Kavuri
- Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Weslaco, TX, USA
- Department of Plant Pathology and Microbiology, Texas A&M University System, College Station, TX, USA
| | - Manikandan Ramasamy
- Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Weslaco, TX, USA
| | - Sonia Irigoyen
- Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Weslaco, TX, USA
| | - Andrew Nelson
- Boyce Thompson Institute, Cornell University, Ithaca, NY, USA
| | - Mohan Singh Rajkumar
- Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Weslaco, TX, USA
| | - Kranthi Mandadi
- Texas A&M AgriLife Research & Extension Center, Texas A&M University System, Weslaco, TX, USA.
- Department of Plant Pathology and Microbiology, Texas A&M University System, College Station, TX, USA.
- Institute for Advancing Health Through Agriculture, Texas A&M AgriLife, College Station, TX, USA.
| |
Collapse
|
6
|
Livraghi L, Hanly JJ, Evans E, Wright CJ, Loh LS, Mazo-Vargas A, Kamrava K, Carter A, van der Heijden ESM, Reed RD, Papa R, Jiggins CD, Martin A. A long noncoding RNA at the cortex locus controls adaptive coloration in butterflies. Proc Natl Acad Sci U S A 2024; 121:e2403326121. [PMID: 39213180 PMCID: PMC11388343 DOI: 10.1073/pnas.2403326121] [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: 02/16/2024] [Accepted: 07/22/2024] [Indexed: 09/04/2024] Open
Abstract
Evolutionary variation in the wing pigmentation of butterflies and moths offers striking examples of adaptation by crypsis and mimicry. The cortex locus has been independently mapped as the locus controlling color polymorphisms in 15 lepidopteran species, suggesting that it acts as a genomic hotspot for the diversification of wing patterns, but functional validation through protein-coding knockouts has proven difficult to obtain. Our study unveils the role of a long noncoding RNA (lncRNA) which we name ivory, transcribed from the cortex locus, in modulating color patterning in butterflies. Strikingly, ivory expression prefigures most melanic patterns during pupal development, suggesting an early developmental role in specifying scale identity. To test this, we generated CRISPR mosaic knock-outs in five nymphalid butterfly species and show that ivory mutagenesis yields transformations of dark pigmented scales into white or light-colored scales. Genotyping of Vanessa cardui germline mutants associates these phenotypes to small on-target deletions at the conserved first exon of ivory. In contrast, cortex germline mutant butterflies with confirmed null alleles lack any wing phenotype and exclude a color patterning role for this adjacent gene. Overall, these results show that a lncRNA gene acts as a master switch of color pattern specification and played key roles in the adaptive diversification of wing patterns in butterflies.
Collapse
Affiliation(s)
- Luca Livraghi
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom
| | - Joseph J Hanly
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
- Department of Biology, Duke University, Durham, NC 27708
- Smithsonian Tropical Research Institute, Gamboa, Panama
| | - Elizabeth Evans
- Department of Biology, University of Puerto Rico at Río Piedras, San Juan 00925, Puerto Rico
| | - Charlotte J Wright
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom
- Tree of Life, Wellcome Sanger Institute, Cambridge CB10 1RQ, United Kingdom
| | - Ling S Loh
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Anyi Mazo-Vargas
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
- Department of Biology, Duke University, Durham, NC 27708
| | - Kiana Kamrava
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Alexander Carter
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| | - Eva S M van der Heijden
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom
- Tree of Life, Wellcome Sanger Institute, Cambridge CB10 1RQ, United Kingdom
| | - Robert D Reed
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853
| | - Riccardo Papa
- Department of Biology, University of Puerto Rico at Río Piedras, San Juan 00925, Puerto Rico
- Comprehensive Cancer Center, University of Puerto Rico, San Juan 00925, Puerto Rico
- Molecular Sciences and Research Center, University of Puerto Rico, San Juan 00926, Puerto Rico
- Dipartimento di Scienze Chimiche della Vita e della Sostenibilità Ambientale, Università di Parma, Parma 43124, Italy
| | - Chris D Jiggins
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom
| | - Arnaud Martin
- Department of Biological Sciences, The George Washington University, Washington, DC 20052
| |
Collapse
|
7
|
Fosseprez O, Cuvier O. Uncovering the functions and mechanisms of regulatory elements-associated non-coding RNAs. BIOCHIMICA ET BIOPHYSICA ACTA. GENE REGULATORY MECHANISMS 2024; 1867:195059. [PMID: 39226990 DOI: 10.1016/j.bbagrm.2024.195059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Revised: 08/12/2024] [Accepted: 08/23/2024] [Indexed: 09/05/2024]
Abstract
Over the past decade, regulatory non-coding RNAs (ncRNAs) produced by RNA Pol II have been revealed as meaningful players in various essential cellular functions. In particular, thousands of ncRNAs are produced at transcriptional regulatory elements such as enhancers and promoters, where they may exert multiple functions to regulate proper development, cellular programming, transcription or genomic stability. Here, we review the mechanisms involving these regulatory element-associated ncRNAs, and particularly enhancer RNAs (eRNAs) and PROMoter uPstream Transcripts (PROMPTs). We contextualize the mechanisms described to the processing and degradation of these short lived RNAs. We summarize recent findings explaining how ncRNAs operate locally at promoters and enhancers, or further away, either shortly after their production by RNA Pol II, or through post-transcriptional stabilization. Such discoveries lead to a converging model accounting for how ncRNAs influence cellular fate, by acting on transcription and chromatin structure, which may further involve factors participating to 3D nuclear organization.
Collapse
Affiliation(s)
- Olivier Fosseprez
- Chromatin Dynamics and Cell Proliferation team; Center of Integrative Biology (CBI), Molecular Cellular and Developmental Biology Unit (MCD/UMR5077) Center of Integrative Biology (CBI-CNRS), Université de Toulouse (UPS), F-31000, France.
| | - Olivier Cuvier
- Chromatin Dynamics and Cell Proliferation team; Center of Integrative Biology (CBI), Molecular Cellular and Developmental Biology Unit (MCD/UMR5077) Center of Integrative Biology (CBI-CNRS), Université de Toulouse (UPS), F-31000, France.
| |
Collapse
|
8
|
de la Cruz-Thea B, Natali L, Ho-Xuan H, Bruckmann A, Coll-Bonfill N, Strieder N, Peinado VI, Meister G, Musri MM. Differentiation and Growth-Arrest-Related lncRNA ( DAGAR): Initial Characterization in Human Smooth Muscle and Fibroblast Cells. Int J Mol Sci 2024; 25:9497. [PMID: 39273443 PMCID: PMC11394763 DOI: 10.3390/ijms25179497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 08/23/2024] [Accepted: 08/26/2024] [Indexed: 09/15/2024] Open
Abstract
Vascular smooth muscle cells (SMCs) can transition between a quiescent contractile or "differentiated" phenotype and a "proliferative-dedifferentiated" phenotype in response to environmental cues, similar to what in occurs in the wound healing process observed in fibroblasts. When dysregulated, these processes contribute to the development of various lung and cardiovascular diseases such as Chronic Obstructive Pulmonary Disease (COPD). Long non-coding RNAs (lncRNAs) have emerged as key modulators of SMC differentiation and phenotypic changes. In this study, we examined the expression of lncRNAs in primary human pulmonary artery SMCs (hPASMCs) during cell-to-cell contact-induced SMC differentiation. We discovered a novel lncRNA, which we named Differentiation And Growth Arrest-Related lncRNA (DAGAR) that was significantly upregulated in the quiescent phenotype with respect to proliferative SMCs and in cell-cycle-arrested MRC5 lung fibroblasts. We demonstrated that DAGAR expression is essential for SMC quiescence and its knockdown hinders SMC differentiation. The treatment of quiescent SMCs with the pro-inflammatory cytokine Tumor Necrosis Factor (TNF), a known inducer of SMC dedifferentiation and proliferation, elicited DAGAR downregulation. Consistent with this, we observed diminished DAGAR expression in pulmonary arteries from COPD patients compared to non-smoker controls. Through pulldown experiments followed by mass spectrometry analysis, we identified several proteins that interact with DAGAR that are related to cell differentiation, the cell cycle, cytoskeleton organization, iron metabolism, and the N-6-Methyladenosine (m6A) machinery. In conclusion, our findings highlight DAGAR as a novel lncRNA that plays a crucial role in the regulation of cell proliferation and SMC differentiation. This paper underscores the potential significance of DAGAR in SMC and fibroblast physiology in health and disease.
Collapse
MESH Headings
- Humans
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- Fibroblasts/metabolism
- Cell Differentiation/genetics
- Myocytes, Smooth Muscle/metabolism
- Cell Proliferation/genetics
- Pulmonary Artery/metabolism
- Pulmonary Artery/cytology
- Muscle, Smooth, Vascular/metabolism
- Muscle, Smooth, Vascular/cytology
- Pulmonary Disease, Chronic Obstructive/metabolism
- Pulmonary Disease, Chronic Obstructive/genetics
- Pulmonary Disease, Chronic Obstructive/pathology
- Cells, Cultured
Collapse
Affiliation(s)
- Benjamin de la Cruz-Thea
- Mercedes and Martin Ferreyra Medical Research Institute, National Council for Scientific and Technical Research, National University of Córdoba (INIMEC-CONICET-UNC), Córdoba 5016, Argentina
| | - Lautaro Natali
- Mercedes and Martin Ferreyra Medical Research Institute, National Council for Scientific and Technical Research, National University of Córdoba (INIMEC-CONICET-UNC), Córdoba 5016, Argentina
| | - Hung Ho-Xuan
- Regensburg Center for Biochemistry (RCB), Laboratory for RNA Biology, University of Regensburg, 93053 Regensburg, Germany
| | - Astrid Bruckmann
- Regensburg Center for Biochemistry (RCB), Laboratory for RNA Biology, University of Regensburg, 93053 Regensburg, Germany
| | - Núria Coll-Bonfill
- Edward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA
| | - Nicholas Strieder
- NGS-Core, LIT-Leibniz-Institute for Immunotherapy, 93053 Regensburg, Germany
| | - Víctor I Peinado
- Department of Experimental Pathology, Institute of Biomedical Research of Barcelona (IIBB), CSIC, 08036 Barcelona, Spain
- Department of Pulmonary Medicine, Hospital Clínic, Biomedical Research Institut August Pi i Sunyer (IDIBAPS), University of Barcelona, 08036 Barcelona, Spain
- Biomedical Research Networking Center in Respiratory Diseases (CIBERES), 28029 Madrid, Spain
| | - Gunter Meister
- Regensburg Center for Biochemistry (RCB), Laboratory for RNA Biology, University of Regensburg, 93053 Regensburg, Germany
| | - Melina M Musri
- Mercedes and Martin Ferreyra Medical Research Institute, National Council for Scientific and Technical Research, National University of Córdoba (INIMEC-CONICET-UNC), Córdoba 5016, Argentina
| |
Collapse
|
9
|
Gluba-Sagr A, Franczyk B, Rysz-Górzyńska A, Olszewski R, Rysz J. The Role of Selected lncRNAs in Lipid Metabolism and Cardiovascular Disease Risk. Int J Mol Sci 2024; 25:9244. [PMID: 39273193 PMCID: PMC11395304 DOI: 10.3390/ijms25179244] [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: 03/12/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 09/15/2024] Open
Abstract
Lipid disorders increase the risk for the development of cardiometabolic disorders, including type 2 diabetes, atherosclerosis, and cardiovascular disease. Lipids levels, apart from diet, smoking, obesity, alcohol consumption, and lack of exercise, are also influenced by genetic factors. Recent studies suggested the role of long noncoding RNAs (lncRNAs) in the regulation of lipid formation and metabolism. Despite their lack of protein-coding capacity, lncRNAs are crucial regulators of various physiological and pathological processes since they affect the transcription and epigenetic chromatin remodelling. LncRNAs act as molecular signal, scaffold, decoy, enhancer, and guide molecules. This review summarises available data concerning the impact of lncRNAs on lipid levels and metabolism, as well as impact on cardiovascular disease risk. This relationship is significant because altered lipid metabolism is a well-known risk factor for cardiovascular diseases, and lncRNAs may play a crucial regulatory role. Understanding these mechanisms could pave the way for new therapeutic strategies to mitigate cardiovascular disease risk through targeted modulation of lncRNAs. The identification of dysregulated lncRNAs may pose promising candidates for therapeutic interventions, since strategies enabling the restoration of their levels could offer an effective means to impede disease progression without disrupting normal biological functions. LncRNAs may also serve as valuable biomarker candidates for various pathological states, including cardiovascular disease. However, still much remains unknown about the functions of most lncRNAs, thus extensive studies are necessary elucidate their roles in physiology, development, and disease.
Collapse
Affiliation(s)
- Anna Gluba-Sagr
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 90-549 Lodz, Poland
| | - Beata Franczyk
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 90-549 Lodz, Poland
| | - Aleksandra Rysz-Górzyńska
- Department of Ophthalmology and Visual Rehabilitation, Medical University of Lodz, 90-549 Lodz, Poland
| | - Robert Olszewski
- Department of Gerontology, Public Health and Didactics, National Institute of Geriatrics, Rheumatology and Rehabilitation in Warsaw, 02-637 Warsaw, Poland
| | - Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, 90-549 Lodz, Poland
| |
Collapse
|
10
|
Coan M, Haefliger S, Ounzain S, Johnson R. Targeting and engineering long non-coding RNAs for cancer therapy. Nat Rev Genet 2024; 25:578-595. [PMID: 38424237 DOI: 10.1038/s41576-024-00693-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2024] [Indexed: 03/02/2024]
Abstract
RNA therapeutics (RNATx) aim to treat diseases, including cancer, by targeting or employing RNA molecules for therapeutic purposes. Amongst the most promising targets are long non-coding RNAs (lncRNAs), which regulate oncogenic molecular networks in a cell type-restricted manner. lncRNAs are distinct from protein-coding genes in important ways that increase their therapeutic potential yet also present hurdles to conventional clinical development. Advances in genome editing, oligonucleotide chemistry, multi-omics and RNA engineering are paving the way for efficient and cost-effective lncRNA-focused drug discovery pipelines. In this Review, we present the emerging field of lncRNA therapeutics for oncology, with emphasis on the unique strengths and challenges of lncRNAs within the broader RNATx framework. We outline the necessary steps for lncRNA therapeutics to deliver effective, durable, tolerable and personalized treatments for cancer.
Collapse
Affiliation(s)
- Michela Coan
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
- Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Simon Haefliger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department for BioMedical Research, University of Bern, Bern, Switzerland
| | | | - Rory Johnson
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
- Conway Institute of Biomedical and Biomolecular Research, University College Dublin, Dublin, Ireland.
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Department for BioMedical Research, University of Bern, Bern, Switzerland.
- FutureNeuro, SFI Research Centre for Chronic and Rare Neurological Diseases, Dublin, Ireland.
| |
Collapse
|
11
|
Lei Z, Zhu Z, Yao Z, Dai X, Dong Y, Chen B, Wang S, Wang S, Bentum-Ennin L, Jin L, Gu H, Hu W. Reciprocal interactions between lncRNAs and MYC in colorectal cancer: partners in crime. Cell Death Dis 2024; 15:539. [PMID: 39075086 PMCID: PMC11286766 DOI: 10.1038/s41419-024-06918-w] [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: 02/22/2024] [Revised: 07/11/2024] [Accepted: 07/17/2024] [Indexed: 07/31/2024]
Abstract
Proto-oncogenic MYC is frequently dysregulated in colorectal cancer (CRC). In the past decades, long noncoding RNAs (lncRNAs) have emerged as important regulators in cancers, acting as scaffolds, molecular decoys, post-transcriptional regulators, and others. Interestingly, lncRNAs are able to control MYC expression both at transcriptional and post-transcriptional levels. It is suggested that the reciprocal interaction of MYC and lncRNAs often occurs in CRC. MYC can affect the cell fate by promoting or inhibiting the transcription of some lncRNAs. At the same time, some lncRNAs can also affect MYC expression or transcriptional activity, and in turn decide the cell fate. In this review we summarized the current knowledge about the MYC and lncRNA axis, focusing on its mutual regulation, roles in CRC, and proposed potential therapeutic prospects for CRC treatment.
Collapse
Affiliation(s)
- Zhen Lei
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Zhipu Zhu
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Zhihui Yao
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Xiangyu Dai
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Yi Dong
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Bing Chen
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Songyu Wang
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Siyue Wang
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China
| | - Lutterodt Bentum-Ennin
- Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230027, China
| | - Lei Jin
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China.
| | - Hao Gu
- Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230027, China.
| | - Wanglai Hu
- Translational Research Institute, People's Hospital of Zhengzhou University, Academy of Medical Science, Henan International Joint Laboratory of Non-coding RNA and Metabolism in Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450003, China.
- Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei, 230027, China.
| |
Collapse
|
12
|
Li J, Wang B, Ma X. Non-Coding RNAs Extended Omnigenic Module of Cancers. ENTROPY (BASEL, SWITZERLAND) 2024; 26:640. [PMID: 39202109 PMCID: PMC11353529 DOI: 10.3390/e26080640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/24/2024] [Accepted: 07/25/2024] [Indexed: 09/03/2024]
Abstract
The emergence of cancers involves numerous coding and non-coding genes. Understanding the contribution of non-coding RNAs (ncRNAs) to the cancer neighborhood is crucial for interpreting the interaction between molecular markers of cancer. However, there is a lack of systematic studies on the involvement of ncRNAs in the cancer neighborhood. In this paper, we construct an interaction network which encompasses multiple genes. We focus on the fundamental topological indicator, namely connectivity, and evaluate its performance when applied to cancer-affected genes using statistical indices. Our findings reveal that ncRNAs significantly enhance the connectivity of affected genes and mediate the inclusion of more genes in the cancer module. To further explore the role of ncRNAs in the network, we propose a connectivity-based method which leverages the bridging function of ncRNAs across cancer-affected genes and reveals the non-coding RNAs extended omnigenic module (NeOModule). Topologically, this module promotes the formation of cancer patterns involving ncRNAs. Biologically, it is enriched with cancer pathways and treatment targets, providing valuable insights into disease relationships.
Collapse
Affiliation(s)
| | - Bingbo Wang
- School of Computer Science and Technology, Xidian University, Xi’an 710119, China; (J.L.); (X.M.)
| | | |
Collapse
|
13
|
Abedini SS, Akhavantabasi S, Liang Y, Heng JIT, Alizadehsani R, Dehzangi I, Bauer DC, Alinejad-Rokny H. A critical review of the impact of candidate copy number variants on autism spectrum disorder. MUTATION RESEARCH. REVIEWS IN MUTATION RESEARCH 2024; 794:108509. [PMID: 38977176 DOI: 10.1016/j.mrrev.2024.108509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 04/14/2024] [Accepted: 07/02/2024] [Indexed: 07/10/2024]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder (NDD) influenced by genetic, epigenetic, and environmental factors. Recent advancements in genomic analysis have shed light on numerous genes associated with ASD, highlighting the significant role of both common and rare genetic mutations, as well as copy number variations (CNVs), single nucleotide polymorphisms (SNPs) and unique de novo variants. These genetic variations disrupt neurodevelopmental pathways, contributing to the disorder's complexity. Notably, CNVs are present in 10 %-20 % of individuals with autism, with 3 %-7 % detectable through cytogenetic methods. While the role of submicroscopic CNVs in ASD has been recently studied, their association with genomic loci and genes has not been thoroughly explored. In this review, we focus on 47 CNV regions linked to ASD, encompassing 1632 genes, including protein-coding genes and long non-coding RNAs (lncRNAs), of which 659 show significant brain expression. Using a list of ASD-associated genes from SFARI, we detect 17 regions harboring at least one known ASD-related protein-coding gene. Of the remaining 30 regions, we identify 24 regions containing at least one protein-coding gene with brain-enriched expression and a nervous system phenotype in mouse mutants, and one lncRNA with both brain-enriched expression and upregulation in iPSC to neuron differentiation. This review not only expands our understanding of the genetic diversity associated with ASD but also underscores the potential of lncRNAs in contributing to its etiology. Additionally, the discovered CNVs will be a valuable resource for future diagnostic, therapeutic, and research endeavors aimed at prioritizing genetic variations in ASD.
Collapse
Affiliation(s)
- Seyedeh Sedigheh Abedini
- UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia; School of Biotechnology & Biomolecular Sciences, UNSW Sydney, Sydney, NSW 2052, Australia
| | - Shiva Akhavantabasi
- Department of Molecular Biology and Genetics, Yeni Yuzyil University, Istanbul, Turkey; Ghiaseddin Jamshid Kashani University, Andisheh University Town, Danesh Blvd, 3441356611, Abyek, Qazvin, Iran
| | - Yuheng Liang
- UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia
| | - Julian Ik-Tsen Heng
- Curtin Health Innovation Research Institute, Curtin University, Bentley 6845, Australia
| | - Roohallah Alizadehsani
- Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Victoria, Australia
| | - Iman Dehzangi
- Center for Computational and Integrative Biology, Rutgers University, Camden, NJ 08102, USA; Department of Computer Science, Rutgers University, Camden, NJ 08102, USA
| | - Denis C Bauer
- Transformational Bioinformatics, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Sydney, Australia; Applied BioSciences, Faculty of Science and Engineering, Macquarie University, Macquarie Park, Australia
| | - Hamid Alinejad-Rokny
- UNSW BioMedical Machine Learning Lab (BML), The Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW 2052, Australia; Tyree Institute of Health Engineering (IHealthE), UNSW Sydney, Sydney, NSW 2052, Australia.
| |
Collapse
|
14
|
Chong ZX, Ho WY, Yeap SK. Tumour-regulatory role of long non-coding RNA HOXA-AS3. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2024; 189:13-25. [PMID: 38593905 DOI: 10.1016/j.pbiomolbio.2024.04.003] [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: 01/11/2024] [Revised: 03/25/2024] [Accepted: 04/03/2024] [Indexed: 04/11/2024]
Abstract
Dysregulation of long non-coding RNA (lncRNA) HOXA-AS3 has been shown to contribute to the development of multiple cancer types. Several studies have presented the tumour-modulatory role or prognostic significance of this lncRNA in various kinds of cancer. Overall, HOXA-AS3 can act as a competing endogenous RNA (ceRNA) that inhibits the activity of seven microRNAs (miRNAs), including miR-29a-3p, miR-29 b-3p, miR-29c, miR-218-5p, miR-455-5p, miR-1286, and miR-4319. This relieves the downstream messenger RNA (mRNA) targets of these miRNAs from miRNA-mediated translational repression, allowing them to exert their effect in regulating cellular activities. Examples of the pathways regulated by lncRNA HOXA-AS3 and its associated downstream targets include the WNT/β-catenin and epithelial-to-mesenchymal transition (EMT) activities. Besides, HOXA-AS3 can interact with other cellular proteins like homeobox HOXA3 and HOXA6, influencing the oncogenic signaling pathways associated with these proteins. Generally, HOXA-AS3 is overexpressed in most of the discussed human cancers, making this lncRNA a potential candidate to diagnose cancer or predict the clinical outcomes of cancer patients. Hence, targeting HOXA-AS3 could be a new therapeutic approach to slowing cancer progression or as a potential biomarker and therapeutic target. A drawback of using lncRNA HOXA-AS3 as a biomarker or therapeutic target is that most of the studies that have reported the tumour-regulatory roles of lncRNA HOXA-AS3 are single observational, in vitro, or in vivo studies. More in-depth mechanistic and large-scale clinical trials must be conducted to confirm the tumour-modulatory roles of lncRNA HOXA-AS3 further. Besides, no lncRNA HOXA-AS3 inhibitor has been tested preclinically and clinically, and designing such an inhibitor is crucial as it may potentially slow cancer progression.
Collapse
Affiliation(s)
- Zhi Xiong Chong
- Faculty of Science and Engineering, University of Nottingham Malaysia, 43500 Semenyih, Selangor, Malaysia.
| | - Wan Yong Ho
- Faculty of Science and Engineering, University of Nottingham Malaysia, 43500 Semenyih, Selangor, Malaysia.
| | - Swee Keong Yeap
- China-ASEAN College of Marine Sciences, Xiamen University Malaysia, 43900 Sepang, Selangor, Malaysia.
| |
Collapse
|
15
|
Hwang H, Jeon H, Yeo N, Baek D. Big data and deep learning for RNA biology. Exp Mol Med 2024; 56:1293-1321. [PMID: 38871816 PMCID: PMC11263376 DOI: 10.1038/s12276-024-01243-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 02/27/2024] [Accepted: 03/05/2024] [Indexed: 06/15/2024] Open
Abstract
The exponential growth of big data in RNA biology (RB) has led to the development of deep learning (DL) models that have driven crucial discoveries. As constantly evidenced by DL studies in other fields, the successful implementation of DL in RB depends heavily on the effective utilization of large-scale datasets from public databases. In achieving this goal, data encoding methods, learning algorithms, and techniques that align well with biological domain knowledge have played pivotal roles. In this review, we provide guiding principles for applying these DL concepts to various problems in RB by demonstrating successful examples and associated methodologies. We also discuss the remaining challenges in developing DL models for RB and suggest strategies to overcome these challenges. Overall, this review aims to illuminate the compelling potential of DL for RB and ways to apply this powerful technology to investigate the intriguing biology of RNA more effectively.
Collapse
Affiliation(s)
- Hyeonseo Hwang
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
| | - Hyeonseong Jeon
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
- Genome4me Inc., Seoul, Republic of Korea
| | - Nagyeong Yeo
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea
| | - Daehyun Baek
- School of Biological Sciences, Seoul National University, Seoul, Republic of Korea.
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
- Genome4me Inc., Seoul, Republic of Korea.
| |
Collapse
|
16
|
Androsavich JR. Frameworks for transformational breakthroughs in RNA-based medicines. Nat Rev Drug Discov 2024; 23:421-444. [PMID: 38740953 DOI: 10.1038/s41573-024-00943-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 05/16/2024]
Abstract
RNA has sparked a revolution in modern medicine, with the potential to transform the way we treat diseases. Recent regulatory approvals, hundreds of new clinical trials, the emergence of CRISPR gene editing, and the effectiveness of mRNA vaccines in dramatic response to the COVID-19 pandemic have converged to create tremendous momentum and expectation. However, challenges with this relatively new class of drugs persist and require specialized knowledge and expertise to overcome. This Review explores shared strategies for developing RNA drug platforms, including layering technologies, addressing common biases and identifying gaps in understanding. It discusses the potential of RNA-based therapeutics to transform medicine, as well as the challenges associated with improving applicability, efficacy and safety profiles. Insights gained from RNA modalities such as antisense oligonucleotides (ASOs) and small interfering RNAs are used to identify important next steps for mRNA and gene editing technologies.
Collapse
Affiliation(s)
- John R Androsavich
- RNA Accelerator, Pfizer Inc, Cambridge, MA, USA.
- Ginkgo Bioworks, Boston, MA, USA.
| |
Collapse
|
17
|
Zhu S, Yuan S, Niu R, Zhou Y, Wang Z, Xu G. RNAirport: a deep neural network-based database characterizing representative gene models in plants. J Genet Genomics 2024; 51:652-664. [PMID: 38518981 DOI: 10.1016/j.jgg.2024.03.004] [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: 03/03/2024] [Revised: 03/15/2024] [Accepted: 03/16/2024] [Indexed: 03/24/2024]
Abstract
A 5'-leader, known initially as the 5'-untranslated region, contains multiple isoforms due to alternative splicing (aS) and alternative transcription start site (aTSS). Therefore, a representative 5'-leader is demanded to examine the embedded RNA regulatory elements in controlling translation efficiency. Here, we develop a ranking algorithm and a deep-learning model to annotate representative 5'-leaders for five plant species. We rank the intra-sample and inter-sample frequency of aS-mediated transcript isoforms using the Kruskal-Wallis test-based algorithm and identify the representative aS-5'-leader. To further assign a representative 5'-end, we train the deep-learning model 5'leaderP to learn aTSS-mediated 5'-end distribution patterns from cap-analysis gene expression data. The model accurately predicts the 5'-end, confirmed experimentally in Arabidopsis and rice. The representative 5'-leader-contained gene models and 5'leaderP can be accessed at RNAirport (http://www.rnairport.com/leader5P/). The Stage 1 annotation of 5'-leader records 5'-leader diversity and will pave the way to Ribo-Seq open-reading frame annotation, identical to the project recently initiated by human GENCODE.
Collapse
Affiliation(s)
- Sitao Zhu
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei 430072, China
| | - Shu Yuan
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei 430072, China
| | - Ruixia Niu
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei 430072, China
| | - Yulu Zhou
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei 430072, China
| | - Zhao Wang
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei 430072, China
| | - Guoyong Xu
- State Key Laboratory of Hybrid Rice, Institute for Advanced Studies (IAS), Wuhan University, Wuhan, Hubei 430072, China; Hubei Hongshan Laboratory, Wuhan, Hubei 430070, China.
| |
Collapse
|
18
|
Liu G, Kim J, Nguyen N, Zhou L, Dean A. Long noncoding RNA GATA2AS influences human erythropoiesis by transcription factor and chromatin landscape modulation. Blood 2024; 143:2300-2313. [PMID: 38447046 PMCID: PMC11181357 DOI: 10.1182/blood.2023021287] [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: 05/24/2023] [Revised: 02/29/2024] [Accepted: 03/03/2024] [Indexed: 03/08/2024] Open
Abstract
ABSTRACT Long noncoding RNAs (lncRNAs) are extensively expressed in eukaryotic cells and have been revealed to be important for regulating cell differentiation. Many lncRNAs have been found to regulate erythroid differentiation in the mouse. However, given the low sequence conservation of lncRNAs between mouse and human, our understanding of lncRNAs in human erythroid differentiation remains incomplete. lncRNAs are often transcribed opposite to protein coding genes and regulate their expression. Here, we characterized a human erythrocyte-expressed lncRNA, GATA2AS, which is transcribed opposite to erythroid transcription regulator GATA2. GATA2AS is a 2080-bp long, primarily nucleus-localized noncoding RNA that is expressed in erythroid progenitor cells and decreases during differentiation. Knockout of GATA2AS in human HUDEP2 erythroid progenitor cells using CRISPR-Cas9 genome editing to remove the transcription start site accelerated erythroid differentiation and dysregulated erythroblast gene expression. We identified GATA2AS as a novel GATA2 and HBG activator. Chromatin isolation by RNA purification showed that GATA2AS binds to thousands of genomic sites and colocalizes at a subset of sites with erythroid transcription factors including LRF and KLF1. RNA pulldown and RNA immunoprecipitation confirmed interaction between GATA2AS and LRF and KLF1. Chromatin immunoprecipitation sequencing (ChIP-seq) showed that knockout of GATA2AS reduces binding of these transcription factors genome wide. Assay for transposase-accessible chromatin sequencing (ATAC-seq) and H3K27ac ChIP-seq showed that GATA2AS is essential to maintain the chromatin regulatory landscape during erythroid differentiation. Knockdown of GATA2AS in human primary CD34+ cells mimicked results in HUDEP2 cells. Overall, our results implicate human-specific lncRNA GATA2AS as a regulator of erythroid differentiation by influencing erythroid transcription factor binding and the chromatin regulatory landscape.
Collapse
Affiliation(s)
- Guoyou Liu
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Juhyun Kim
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Nicole Nguyen
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Lecong Zhou
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Ann Dean
- Laboratory of Cellular and Developmental Biology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
| |
Collapse
|
19
|
Farazi MM, Rostamzadeh F, Jafarinejad-Farsangi S, Moazam Jazi M, Jafari E, Gharbi S. CircPAN3/miR-221/PTEN axis and apoptosis in myocardial Infarction: Quercetin's regulatory effects. Gene 2024; 909:148316. [PMID: 38401834 DOI: 10.1016/j.gene.2024.148316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 01/29/2024] [Accepted: 02/21/2024] [Indexed: 02/26/2024]
Abstract
The circular RNA/microRNA/mRNA axis is a new layer of non-coding RNA(ncRNA)-based regulatory gene expression networks upstream of numerous cell signaling pathways. Circular RNAPAN3 (circPAN3) is involved in autophagy, fibrosis and apoptosis which are responsible for the reduction incardiac functional capacityfollowingmyocardial infarction(MI). However, the molecular mechanism of circPAN3 association with apoptosis is unknown. In addition, the relationship between quercetin as a cardioprotective factor in MI and circular RNA-dependent regulatory pathways has not yet been elucidated. MI was induced in Wistar rats using the left anterior descending artery (LAD) ligation method. One day after surgery, quercetin (30 mg/kg) was injected intraperitoneal (IP) every other day for two weeks. The expression of circPAN3 was increased in the MI group (P < 0.05). The increase in circPAN3 was accompanied by a decrease in miR-221 (P < 0.0001), an increase in PTEN (P < 0.0001), and cleaved caspase 3 (P < 0.001). Quercetin effectively reduced the expression of circPAN3 (P < 0.05), PTEN (P < 0.0001), and cleaved caspase 3 (P < 0.001), and increased the expression of miR-221 (P < 0.0001) and the ratio of p-AKT to p-PI3K (P < 0.001). The circPAN3/miR-221/PTEN pathway is an ncRNA-dependent apoptotic pathway in MI cardiac tissue. Quercetin effectively modulated this pathway, resulting in a reduction of cardiac tissue death and improvement in cardiac function after MI. This suggests that the circPAN3/miR-221 axis plays a role in apoptosis in MI, and quercetin can act as a protective candidate by modulating this pathway.
Collapse
Affiliation(s)
- Mohammad Mojtaba Farazi
- Department of Biology, Faculty of Science, Shahid Bahonar University of Kerman, Kerman, Iran.
| | - Farzaneh Rostamzadeh
- Cardiovascular Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Saeideh Jafarinejad-Farsangi
- Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran.
| | - Maryam Moazam Jazi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Jafari
- Pathology and Stem Cell Research Center, Department of Pathology, School of Medicine, Kerman University of Medical Sciences, Kerman, Iran
| | - Sedigheh Gharbi
- Department of Biology, Faculty of Science, Shahid Bahonar University of Kerman, Kerman, Iran.
| |
Collapse
|
20
|
Hazell Pickering S, Abdelhalim M, Collas P, Briand N. Alternative isoform expression of key thermogenic genes in human beige adipocytes. Front Endocrinol (Lausanne) 2024; 15:1395750. [PMID: 38859907 PMCID: PMC11163967 DOI: 10.3389/fendo.2024.1395750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/07/2024] [Indexed: 06/12/2024] Open
Abstract
Background The beneficial effect of thermogenic adipocytes in maintaining body weight and protecting against metabolic disorders has raised interest in understanding the regulatory mechanisms defining white and beige adipocyte identity. Although alternative splicing has been shown to propagate adipose browning signals in mice, this has yet to be thoroughly investigated in human adipocytes. Methods We performed parallel white and beige adipogenic differentiation using primary adipose stem cells from 6 unrelated healthy subjects and assessed differential gene and isoform expression in mature adipocytes by RNA sequencing. Results We find 777 exon junctions with robust differential usage between white and beige adipocytes in all 6 subjects, mapping to 562 genes. Importantly, only 10% of these differentially spliced genes are also differentially expressed, indicating that alternative splicing constitutes an additional layer of gene expression regulation during beige adipocyte differentiation. Functional classification of alternative isoforms points to a gain of function for key thermogenic transcription factors such as PPARG and CITED1, and enzymes such as PEMT, or LPIN1. We find that a large majority of the splice variants arise from differential TSS usage, with beige-specific TSSs being enriched for PPARγ and MED1 binding compared to white-specific TSSs. Finally, we validate beige specific isoform expression at the protein level for two thermogenic regulators, PPARγ and PEMT. Discussion These results suggest that differential isoform expression through alternative TSS usage is an important regulatory mechanism for human adipocyte thermogenic specification.
Collapse
Affiliation(s)
- Sarah Hazell Pickering
- Department of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Mohamed Abdelhalim
- Department of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Philippe Collas
- Department of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway
| | - Nolwenn Briand
- Department of Molecular Medicine, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
21
|
Brown SD, Klimi E, Bakker WAM, Beqqali A, Baker AH. Non-coding RNAs to treat vascular smooth muscle cell dysfunction. Br J Pharmacol 2024. [PMID: 38773733 DOI: 10.1111/bph.16409] [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: 11/17/2023] [Revised: 02/19/2024] [Accepted: 03/14/2024] [Indexed: 05/24/2024] Open
Abstract
Vascular smooth muscle cell (vSMC) dysfunction is a critical contributor to cardiovascular diseases, including atherosclerosis, restenosis and vein graft failure. Recent advances have unveiled a fascinating range of non-coding RNAs (ncRNAs) that play a pivotal role in regulating vSMC function. This review aims to provide an in-depth analysis of the mechanisms underlying vSMC dysfunction and the therapeutic potential of various ncRNAs in mitigating this dysfunction, either preventing or reversing it. We explore the intricate interplay of microRNAs, long-non-coding RNAs and circular RNAs, shedding light on their roles in regulating key signalling pathways associated with vSMC dysfunction. We also discuss the prospects and challenges associated with developing ncRNA-based therapies for this prevalent type of cardiovascular pathology.
Collapse
Affiliation(s)
- Simon D Brown
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Eftychia Klimi
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | | | - Abdelaziz Beqqali
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Andrew H Baker
- BHF Centre for Cardiovascular Science, Queens Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| |
Collapse
|
22
|
Tomikawa J. Potential roles of inter-chromosomal interactions in cell fate determination. Front Cell Dev Biol 2024; 12:1397807. [PMID: 38774644 PMCID: PMC11106443 DOI: 10.3389/fcell.2024.1397807] [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: 03/08/2024] [Accepted: 04/23/2024] [Indexed: 05/24/2024] Open
Abstract
Mammalian genomic DNA is packed in a small nucleus, and its folding and organization in the nucleus are critical for gene regulation and cell fate determination. In interphase, chromosomes are compartmentalized into certain nuclear spaces and territories that are considered incompatible with each other. The regulation of gene expression is influenced by the epigenetic characteristics of topologically associated domains and A/B compartments within chromosomes (intrachromosomal). Previously, interactions among chromosomes detected via chromosome conformation capture-based methods were considered noise or artificial errors. However, recent studies based on newly developed ligation-independent methods have shown that inter-chromosomal interactions play important roles in gene regulation. This review summarizes the recent understanding of spatial genomic organization in mammalian interphase nuclei and discusses the potential mechanisms that determine cell identity. In addition, this review highlights the potential role of inter-chromosomal interactions in early mouse development.
Collapse
Affiliation(s)
- Junko Tomikawa
- Department of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan
| |
Collapse
|
23
|
Agrawal S, Buyan A, Severin J, Koido M, Alam T, Abugessaisa I, Chang HY, Dostie J, Itoh M, Kere J, Kondo N, Li Y, Makeev VJ, Mendez M, Okazaki Y, Ramilowski JA, Sigorskikh AI, Strug LJ, Yagi K, Yasuzawa K, Yip CW, Hon CC, Hoffman MM, Terao C, Kulakovskiy IV, Kasukawa T, Shin JW, Carninci P, de Hoon MJL. Annotation of nuclear lncRNAs based on chromatin interactions. PLoS One 2024; 19:e0295971. [PMID: 38709794 PMCID: PMC11073715 DOI: 10.1371/journal.pone.0295971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/02/2023] [Indexed: 05/08/2024] Open
Abstract
The human genome is pervasively transcribed and produces a wide variety of long non-coding RNAs (lncRNAs), constituting the majority of transcripts across human cell types. Some specific nuclear lncRNAs have been shown to be important regulatory components acting locally. As RNA-chromatin interaction and Hi-C chromatin conformation data showed that chromatin interactions of nuclear lncRNAs are determined by the local chromatin 3D conformation, we used Hi-C data to identify potential target genes of lncRNAs. RNA-protein interaction data suggested that nuclear lncRNAs act as scaffolds to recruit regulatory proteins to target promoters and enhancers. Nuclear lncRNAs may therefore play a role in directing regulatory factors to locations spatially close to the lncRNA gene. We provide the analysis results through an interactive visualization web portal at https://fantom.gsc.riken.jp/zenbu/reports/#F6_3D_lncRNA.
Collapse
Affiliation(s)
- Saumya Agrawal
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Andrey Buyan
- Autosome.org, Russia
- FANTOM Consortium, Dolgoprudny, Russia
| | - Jessica Severin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masaru Koido
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Tanvir Alam
- College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
| | | | - Howard Y. Chang
- Center for Personal Dynamic Regulome, Stanford University, Stanford, California, United States of America
| | - Josée Dostie
- Department of Biochemistry, Rosalind and Morris Goodman Cancer Research Center, McGill University, Montréal, Québec, Canada
| | - Masayoshi Itoh
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Japan
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
- Stem Cells and Metabolism Research Program, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Naoto Kondo
- RIKEN Center for Life Science Technologies, Yokohama, Japan
| | - Yunjing Li
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | | | - Mickaël Mendez
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Yasushi Okazaki
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Jordan A. Ramilowski
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Advanced Medical Research Center, Yokohama City University, Yokohama, Japan
| | | | - Lisa J. Strug
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Department of Statistical Sciences, University of Toronto, Ontario, Canada
- The Centre for Applied Genomics and Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ken Yagi
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kayoko Yasuzawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Chi Wai Yip
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Chung Chau Hon
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Michael M. Hoffman
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Vector Institute, Toronto, Ontario, Canada
| | - Chikashi Terao
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | - Takeya Kasukawa
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Jay W. Shin
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore
| | - Piero Carninci
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Human Technopole, Milan, Italy
| | | |
Collapse
|
24
|
Mishra A, Kim HS, Kumar R, Srivastava V. Advances in Vibrio-related infection management: an integrated technology approach for aquaculture and human health. Crit Rev Biotechnol 2024:1-28. [PMID: 38705837 DOI: 10.1080/07388551.2024.2336526] [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: 08/03/2023] [Accepted: 11/25/2023] [Indexed: 05/07/2024]
Abstract
Vibrio species pose significant threats worldwide, causing mortalities in aquaculture and infections in humans. Global warming and the emergence of worldwide strains of Vibrio diseases are increasing day by day. Control of Vibrio species requires effective monitoring, diagnosis, and treatment strategies at the global scale. Despite current efforts based on chemical, biological, and mechanical means, Vibrio control management faces limitations due to complicated implementation processes. This review explores the intricacies and challenges of Vibrio-related diseases, including accurate and cost-effective diagnosis and effective control. The global burden due to emerging Vibrio species further complicates management strategies. We propose an innovative integrated technology model that harnesses cutting-edge technologies to address these obstacles. The proposed model incorporates advanced tools, such as biosensing technologies, the Internet of Things (IoT), remote sensing devices, cloud computing, and machine learning. This model offers invaluable insights and supports better decision-making by integrating real-time ecological data and biological phenotype signatures. A major advantage of our approach lies in leveraging cloud-based analytics programs, efficiently extracting meaningful information from vast and complex datasets. Collaborating with data and clinical professionals ensures logical and customized solutions tailored to each unique situation. Aquaculture biotechnology that prioritizes sustainability may have a large impact on human health and the seafood industry. Our review underscores the importance of adopting this model, revolutionizing the prognosis and management of Vibrio-related infections, even under complex circumstances. Furthermore, this model has promising implications for aquaculture and public health, addressing the United Nations Sustainable Development Goals and their development agenda.
Collapse
Affiliation(s)
- Anshuman Mishra
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan, South Korea
| | - Heui-Soo Kim
- Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan, South Korea
| | - Rajender Kumar
- Division of Glycoscience, Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, Stockholm, Sweden
| | - Vaibhav Srivastava
- Division of Glycoscience, Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, Stockholm, Sweden
| |
Collapse
|
25
|
Han X, Xing L, Hong Y, Zhang X, Hao B, Lu JY, Huang M, Wang Z, Ma S, Zhan G, Li T, Hao X, Tao Y, Li G, Zhou S, Zheng Z, Shao W, Zeng Y, Ma D, Zhang W, Xie Z, Deng H, Yan J, Deng W, Shen X. Nuclear RNA homeostasis promotes systems-level coordination of cell fate and senescence. Cell Stem Cell 2024; 31:694-716.e11. [PMID: 38631356 DOI: 10.1016/j.stem.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 02/01/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Understanding cellular coordination remains a challenge despite knowledge of individual pathways. The RNA exosome, targeting a wide range of RNA substrates, is often downregulated in cellular senescence. Utilizing an auxin-inducible system, we observed that RNA exosome depletion in embryonic stem cells significantly affects the transcriptome and proteome, causing pluripotency loss and pre-senescence onset. Mechanistically, exosome depletion triggers acute nuclear RNA aggregation, disrupting nuclear RNA-protein equilibrium. This disturbance limits nuclear protein availability and hinders polymerase initiation and engagement, reducing gene transcription. Concurrently, it promptly disrupts nucleolar transcription, ribosomal processes, and nuclear exporting, resulting in a translational shutdown. Prolonged exosome depletion induces nuclear structural changes resembling senescent cells, including aberrant chromatin compaction, chromocenter disassembly, and intensified heterochromatic foci. These effects suggest that the dynamic turnover of nuclear RNA orchestrates crosstalk between essential processes to optimize cellular function. Disruptions in nuclear RNA homeostasis result in systemic functional decline, altering the cell state and promoting senescence.
Collapse
Affiliation(s)
- Xue Han
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Linqing Xing
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yantao Hong
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xuechun Zhang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Bo Hao
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - J Yuyang Lu
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Mengyuan Huang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zuhui Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shaoqian Ma
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Ge Zhan
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Tong Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xiaowen Hao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yibing Tao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Guanwen Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Shuqin Zhou
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zheng Zheng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Wen Shao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yitian Zeng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Dacheng Ma
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Wenhao Zhang
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhen Xie
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Haiteng Deng
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jiangwei Yan
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Wulan Deng
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Xiaohua Shen
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China; SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
| |
Collapse
|
26
|
Ferrer J, Dimitrova N. Transcription regulation by long non-coding RNAs: mechanisms and disease relevance. Nat Rev Mol Cell Biol 2024; 25:396-415. [PMID: 38242953 PMCID: PMC11045326 DOI: 10.1038/s41580-023-00694-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/11/2023] [Indexed: 01/21/2024]
Abstract
Long non-coding RNAs (lncRNAs) outnumber protein-coding transcripts, but their functions remain largely unknown. In this Review, we discuss the emerging roles of lncRNAs in the control of gene transcription. Some of the best characterized lncRNAs have essential transcription cis-regulatory functions that cannot be easily accomplished by DNA-interacting transcription factors, such as XIST, which controls X-chromosome inactivation, or imprinted lncRNAs that direct allele-specific repression. A growing number of lncRNA transcription units, including CHASERR, PVT1 and HASTER (also known as HNF1A-AS1) act as transcription-stabilizing elements that fine-tune the activity of dosage-sensitive genes that encode transcription factors. Genetic experiments have shown that defects in such transcription stabilizers often cause severe phenotypes. Other lncRNAs, such as lincRNA-p21 (also known as Trp53cor1) and Maenli (Gm29348) contribute to local activation of gene transcription, whereas distinct lncRNAs influence gene transcription in trans. We discuss findings of lncRNAs that elicit a function through either activation of their transcription, transcript elongation and processing or the lncRNA molecule itself. We also discuss emerging evidence of lncRNA involvement in human diseases, and their potential as therapeutic targets.
Collapse
Affiliation(s)
- Jorge Ferrer
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain.
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
| | - Nadya Dimitrova
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.
| |
Collapse
|
27
|
Dudnyk K, Cai D, Shi C, Xu J, Zhou J. Sequence basis of transcription initiation in the human genome. Science 2024; 384:eadj0116. [PMID: 38662817 PMCID: PMC11223672 DOI: 10.1126/science.adj0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 02/28/2024] [Indexed: 05/03/2024]
Abstract
Transcription initiation is a process that is essential to ensuring the proper function of any gene, yet we still lack a unified understanding of sequence patterns and rules that explain most transcription start sites in the human genome. By predicting transcription initiation at base-pair resolution from sequences with a deep learning-inspired explainable model called Puffin, we show that a small set of simple rules can explain transcription initiation at most human promoters. We identify key sequence patterns that contribute to human promoter activity, each activating transcription with distinct position-specific effects. Furthermore, we explain the sequence basis of bidirectional transcription at promoters, identify the links between promoter sequence and gene expression variation across cell types, and explore the conservation of sequence determinants of transcription initiation across mammalian species.
Collapse
Affiliation(s)
- Kseniia Dudnyk
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center; Dallas, Texas, United States of America
| | - Donghong Cai
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center; Dallas, Texas, United States of America
- Center of Excellence for Leukemia Studies (CELS), Department of Pathology, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Chenlai Shi
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center; Dallas, Texas, United States of America
| | - Jian Xu
- Center of Excellence for Leukemia Studies (CELS), Department of Pathology, St. Jude Children’s Research Hospital, Memphis, Tennessee, United States of America
| | - Jian Zhou
- Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center; Dallas, Texas, United States of America
| |
Collapse
|
28
|
Peralta-Alvarez CA, Núñez-Martínez HN, Cerecedo-Castillo ÁJ, Poot-Hernández AC, Tapia-Urzúa G, Garza-Manero S, Guerrero G, Recillas-Targa F. A Bidirectional Non-Coding RNA Promoter Mediates Long-Range Gene Expression Regulation. Genes (Basel) 2024; 15:549. [PMID: 38790178 PMCID: PMC11120797 DOI: 10.3390/genes15050549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 04/18/2024] [Accepted: 04/23/2024] [Indexed: 05/26/2024] Open
Abstract
Recent evidence suggests that human gene promoters display gene expression regulatory mechanisms beyond the typical single gene local transcription modulation. In mammalian genomes, genes with an associated bidirectional promoter are abundant; bidirectional promoter architecture serves as a regulatory hub for a gene pair expression. However, it has been suggested that its contribution to transcriptional regulation might exceed local transcription initiation modulation. Despite their abundance, the functional consequences of bidirectional promoter architecture remain largely unexplored. This work studies the long-range gene expression regulatory role of a long non-coding RNA gene promoter using chromosome conformation capture methods. We found that this particular bidirectional promoter contributes to distal gene expression regulation in a target-specific manner by establishing promoter-promoter interactions. In particular, we validated that the promoter-promoter interactions of this regulatory element with the promoter of distal gene BBX contribute to modulating the transcription rate of this gene; removing the bidirectional promoter from its genomic context leads to a rearrangement of BBX promoter-enhancer interactions and to increased gene expression. Moreover, long-range regulatory functionality is not directly dependent on its associated non-coding gene pair expression levels.
Collapse
Affiliation(s)
- Carlos Alberto Peralta-Alvarez
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
- Instituto de Fisiología Celular, Unidad de Bioinformática y Manejo de la Información, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Hober Nelson Núñez-Martínez
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
| | - Ángel Josué Cerecedo-Castillo
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
| | - Augusto César Poot-Hernández
- Instituto de Fisiología Celular, Unidad de Bioinformática y Manejo de la Información, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico
| | - Gustavo Tapia-Urzúa
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
| | - Sylvia Garza-Manero
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
| | - Georgina Guerrero
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
| | - Félix Recillas-Targa
- Instituto de Fisiología Celular, Departaménto de Genética Molecular, Universidad Nacional Autónoma de México, Mexico City 04510, Mexico; (C.A.P.-A.); (H.N.N.-M.)
| |
Collapse
|
29
|
Chen J, Wang R, Xiong F, Sun H, Kemper B, Li W, Kemper J. Hammerhead-type FXR agonists induce an enhancer RNA Fincor that ameliorates nonalcoholic steatohepatitis in mice. eLife 2024; 13:RP91438. [PMID: 38619504 PMCID: PMC11018349 DOI: 10.7554/elife.91438] [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: 04/16/2024] Open
Abstract
The nuclear receptor, farnesoid X receptor (FXR/NR1H4), is increasingly recognized as a promising drug target for metabolic diseases, including nonalcoholic steatohepatitis (NASH). Protein-coding genes regulated by FXR are well known, but whether FXR also acts through regulation of long non-coding RNAs (lncRNAs), which vastly outnumber protein-coding genes, remains unknown. Utilizing RNA-seq and global run-on sequencing (GRO-seq) analyses in mouse liver, we found that FXR activation affects the expression of many RNA transcripts from chromatin regions bearing enhancer features. Among these we discovered a previously unannotated liver-enriched enhancer-derived lncRNA (eRNA), termed FXR-induced non-coding RNA (Fincor). We show that Fincor is specifically induced by the hammerhead-type FXR agonists, including GW4064 and tropifexor. CRISPR/Cas9-mediated liver-specific knockdown of Fincor in dietary NASH mice reduced the beneficial effects of tropifexor, an FXR agonist currently in clinical trials for NASH and primary biliary cholangitis (PBC), indicating that amelioration of liver fibrosis and inflammation in NASH treatment by tropifexor is mediated in part by Fincor. Overall, our findings highlight that pharmacological activation of FXR by hammerhead-type agonists induces a novel eRNA, Fincor, contributing to the amelioration of NASH in mice. Fincor may represent a new drug target for addressing metabolic disorders, including NASH.
Collapse
Affiliation(s)
- Jinjing Chen
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-ChampaignUrbanaUnited States
| | - Ruoyu Wang
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science CenterHoustonUnited States
| | - Feng Xiong
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science CenterHoustonUnited States
| | - Hao Sun
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-ChampaignUrbanaUnited States
| | - Byron Kemper
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-ChampaignUrbanaUnited States
| | - Wenbo Li
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science CenterHoustonUnited States
| | - Jongsook Kemper
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-ChampaignUrbanaUnited States
| |
Collapse
|
30
|
Piórkowska K, Zygmunt K, Hunter W, Wróblewska K. MALAT1: A Long Non-Coding RNA with Multiple Functions and Its Role in Processes Associated with Fat Deposition. Genes (Basel) 2024; 15:479. [PMID: 38674413 PMCID: PMC11049917 DOI: 10.3390/genes15040479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) belongs to the lncRNA molecules, which are involved in transcriptional and epigenetic regulation and the control of gene expression, including the mechanism of chromatin remodeling. MALAT1 was first discovered during carcinogenesis in lung adenocarcinoma, hence its name. In humans, 66 of its isoforms have been identified, and in pigs, only 2 are predicted, for which information is available in Ensembl databases (Ensembl Release 111). MALAT1 is expressed in numerous tissues, including adipose, adrenal gland, heart, kidney, liver, ovary, pancreas, sigmoid colon, small intestine, spleen, and testis. MALAT1, as an lncRNA, shows a wide range of functions. It is involved in the regulation of the cell cycle, where it has pro-proliferative effects and high cellular levels during the G1/S and mitotic (M) phases. Moreover, it is involved in invasion, metastasis, and angiogenesis, and it has a crucial function in alternative splicing during carcinogenesis. In addition, MALAT1 plays a significant role in the processes of fat deposition and adipogenesis. The human adipose tissue stem cells, during differentiation into adipocytes, secrete MALAT1 as one the most abundant lncRNAs in the exosomes. MALAT1 expression in fat tissue is positively correlated with adipogenic FABP4 and LPL. This lncRNA is involved in the regulation of PPARγ at the transcription stage, fatty acid metabolism, and insulin signaling. The wide range of MALAT1 functions makes it an interesting target in studies searching for drugs to prevent obesity development in humans. In turn, in farm animals, it can be a source of selection markers to control the fat tissue content.
Collapse
Affiliation(s)
- Katarzyna Piórkowska
- National Research Institute of Animal Production, Animal Molecular Biology, 31-047 Cracow, Poland; (K.Z.); (K.W.)
| | - Karolina Zygmunt
- National Research Institute of Animal Production, Animal Molecular Biology, 31-047 Cracow, Poland; (K.Z.); (K.W.)
| | - Walter Hunter
- Faculty of Biotechnology and Horticulture, University of Agriculture in Cracow, 31-120 Cracow, Poland;
| | - Ksenia Wróblewska
- National Research Institute of Animal Production, Animal Molecular Biology, 31-047 Cracow, Poland; (K.Z.); (K.W.)
| |
Collapse
|
31
|
Camellato BR, Brosh R, Ashe HJ, Maurano MT, Boeke JD. Synthetic reversed sequences reveal default genomic states. Nature 2024; 628:373-380. [PMID: 38448583 PMCID: PMC11006607 DOI: 10.1038/s41586-024-07128-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 01/29/2024] [Indexed: 03/08/2024]
Abstract
Pervasive transcriptional activity is observed across diverse species. The genomes of extant organisms have undergone billions of years of evolution, making it unclear whether these genomic activities represent effects of selection or 'noise'1-4. Characterizing default genome states could help understand whether pervasive transcriptional activity has biological meaning. Here we addressed this question by introducing a synthetic 101-kb locus into the genomes of Saccharomyces cerevisiae and Mus musculus and characterizing genomic activity. The locus was designed by reversing but not complementing human HPRT1, including its flanking regions, thus retaining basic features of the natural sequence but ablating evolved coding or regulatory information. We observed widespread activity of both reversed and native HPRT1 loci in yeast, despite the lack of evolved yeast promoters. By contrast, the reversed locus displayed no activity at all in mouse embryonic stem cells, and instead exhibited repressive chromatin signatures. The repressive signature was alleviated in a locus variant lacking CpG dinucleotides; nevertheless, this variant was also transcriptionally inactive. These results show that synthetic genomic sequences that lack coding information are active in yeast, but inactive in mouse embryonic stem cells, consistent with a major difference in 'default genomic states' between these two divergent eukaryotic cell types, with implications for understanding pervasive transcription, horizontal transfer of genetic information and the birth of new genes.
Collapse
Affiliation(s)
| | - Ran Brosh
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA
| | - Hannah J Ashe
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA
| | - Matthew T Maurano
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA
- Department of Pathology, NYU Langone Health, New York, NY, USA
| | - Jef D Boeke
- Institute for Systems Genetics, NYU Langone Health, New York, NY, USA.
- Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY, USA.
- Department of Biomedical Engineering, NYU Tandon School of Engineering, New York, NY, USA.
| |
Collapse
|
32
|
Kuzmina A, Sadhu L, Hasanuzzaman M, Fujinaga K, Schwartz JC, Fackler OT, Taube R. Direct and indirect effects of CYTOR lncRNA regulate HIV gene expression. PLoS Pathog 2024; 20:e1012172. [PMID: 38662769 PMCID: PMC11075828 DOI: 10.1371/journal.ppat.1012172] [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: 09/17/2023] [Revised: 05/07/2024] [Accepted: 04/05/2024] [Indexed: 05/08/2024] Open
Abstract
The implementation of antiretroviral therapy (ART) has effectively restricted the transmission of Human Immunodeficiency Virus (HIV) and improved overall clinical outcomes. However, a complete cure for HIV remains out of reach, as the virus persists in a stable pool of infected cell reservoir that is resistant to therapy and thus a main barrier towards complete elimination of viral infection. While the mechanisms by which host proteins govern viral gene expression and latency are well-studied, the emerging regulatory functions of non-coding RNAs (ncRNA) in the context of T cell activation, HIV gene expression and viral latency have not yet been thoroughly explored. Here, we report the identification of the Cytoskeleton Regulator (CYTOR) long non-coding RNA (lncRNA) as an activator of HIV gene expression that is upregulated following T cell stimulation. Functional studies show that CYTOR suppresses viral latency by directly binding to the HIV promoter and associating with the cellular positive transcription elongation factor (P-TEFb) to activate viral gene expression. CYTOR also plays a global role in regulating cellular gene expression, including those involved in controlling actin dynamics. Depletion of CYTOR expression reduces cytoplasmic actin polymerization in response to T cell activation. In addition, treating HIV-infected cells with pharmacological inhibitors of actin polymerization reduces HIV gene expression. We conclude that both direct and indirect effects of CYTOR regulate HIV gene expression.
Collapse
Affiliation(s)
- Alona Kuzmina
- The Shraga Segal Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| | - Lopamudra Sadhu
- Department of Infectious Diseases, Heidelberg University, Medical Faculty Heidelberg, Integrative Virology, Center for Integrative Infectious Disease Research (CIID), Heidelberg, Germany
| | - Md Hasanuzzaman
- Department of Infectious Diseases, Heidelberg University, Medical Faculty Heidelberg, Integrative Virology, Center for Integrative Infectious Disease Research (CIID), Heidelberg, Germany
| | - Koh Fujinaga
- Department of Medicine, University of California, San Francisco, San Francisco, California, United States of America
| | - Jacob C. Schwartz
- Department of Pharmacology, University of Arizona College of Medicine, Tucson, Arizona, United States of America
| | - Oliver T. Fackler
- Department of Infectious Diseases, Heidelberg University, Medical Faculty Heidelberg, Integrative Virology, Center for Integrative Infectious Disease Research (CIID), Heidelberg, Germany
- German Center for Infection Research, DZIF, Partner Site Heidelberg, Heidelberg. Germany
| | - Ran Taube
- The Shraga Segal Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Israel
| |
Collapse
|
33
|
Malagoli G, Valle F, Barillot E, Caselle M, Martignetti L. Identification of Interpretable Clusters and Associated Signatures in Breast Cancer Single-Cell Data: A Topic Modeling Approach. Cancers (Basel) 2024; 16:1350. [PMID: 38611028 PMCID: PMC11011054 DOI: 10.3390/cancers16071350] [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: 02/22/2024] [Revised: 03/25/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Topic modeling is a popular technique in machine learning and natural language processing, where a corpus of text documents is classified into themes or topics using word frequency analysis. This approach has proven successful in various biological data analysis applications, such as predicting cancer subtypes with high accuracy and identifying genes, enhancers, and stable cell types simultaneously from sparse single-cell epigenomics data. The advantage of using a topic model is that it not only serves as a clustering algorithm, but it can also explain clustering results by providing word probability distributions over topics. Our study proposes a novel topic modeling approach for clustering single cells and detecting topics (gene signatures) in single-cell datasets that measure multiple omics simultaneously. We applied this approach to examine the transcriptional heterogeneity of luminal and triple-negative breast cancer cells using patient-derived xenograft models with acquired resistance to chemotherapy and targeted therapy. Through this approach, we identified protein-coding genes and long non-coding RNAs (lncRNAs) that group thousands of cells into biologically similar clusters, accurately distinguishing drug-sensitive and -resistant breast cancer types. In comparison to standard state-of-the-art clustering analyses, our approach offers an optimal partitioning of genes into topics and cells into clusters simultaneously, producing easily interpretable clustering outcomes. Additionally, we demonstrate that an integrative clustering approach, which combines the information from mRNAs and lncRNAs treated as disjoint omics layers, enhances the accuracy of cell classification.
Collapse
Affiliation(s)
- Gabriele Malagoli
- Institut Curie, Inserm U900, Mines ParisTech, PSL Research University, 75248 Paris, France; (G.M.); (E.B.)
- Physics Department, University of Turin and INFN, 10125 Turin, Italy;
| | - Filippo Valle
- Physics Department, University of Turin and INFN, 10125 Turin, Italy;
| | - Emmanuel Barillot
- Institut Curie, Inserm U900, Mines ParisTech, PSL Research University, 75248 Paris, France; (G.M.); (E.B.)
| | - Michele Caselle
- Physics Department, University of Turin and INFN, 10125 Turin, Italy;
| | - Loredana Martignetti
- Institut Curie, Inserm U900, Mines ParisTech, PSL Research University, 75248 Paris, France; (G.M.); (E.B.)
| |
Collapse
|
34
|
Uemura K, Ohyama T. Distinctive physical properties of DNA shared by RNA polymerase II gene promoters and 5'-flanking regions of tRNA genes. J Biochem 2024; 175:395-404. [PMID: 38102732 PMCID: PMC11005993 DOI: 10.1093/jb/mvad111] [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: 10/30/2023] [Revised: 10/30/2023] [Accepted: 11/26/2023] [Indexed: 12/17/2023] Open
Abstract
Numerous noncoding (nc)RNAs have been identified. Similar to the transcription of protein-coding (mRNA) genes, long noncoding (lnc)RNA genes and most of micro (mi)RNA genes are transcribed by RNA polymerase II (Pol II). In the transcription of mRNA genes, core promoters play an indispensable role; they support the assembly of the preinitiation complex (PIC). However, the structural and/or physical properties of the core promoters of lncRNA and miRNA genes remain largely unexplored, in contrast with those of mRNA genes. Using the core promoters of human genes, we analyzed the repertoire and population ratios of residing core promoter elements (CPEs) and calculated the following five DNA physical properties (DPPs): duplex DNA free energy, base stacking energy, protein-induced deformability, rigidity and stabilizing energy of Z-DNA. Here, we show that their CPE and DPP profiles are similar to those of mRNA gene promoters. Importantly, the core promoters of these three classes of genes have two highly distinctive sites in their DPP profiles around the TSS and position -27. Similar characteristics in DPPs are also found in the 5'-flanking regions of tRNA genes, indicating their common essential roles in transcription initiation over the kingdom of RNA polymerases.
Collapse
Affiliation(s)
- Kohei Uemura
- Major in Integrative Bioscience and Biomedical Engineering, Graduate School of Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
| | - Takashi Ohyama
- Major in Integrative Bioscience and Biomedical Engineering, Graduate School of Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
- Department of Biology, Faculty of Education and Integrated Arts and Sciences, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
| |
Collapse
|
35
|
Bhatt U, Cucchiarini A, Luo Y, Evans CW, Mergny JL, Iyer KS, Smith NM. Preferential formation of Z-RNA over intercalated motifs in long noncoding RNA. Genome Res 2024; 34:217-230. [PMID: 38355305 PMCID: PMC10984386 DOI: 10.1101/gr.278236.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 01/31/2024] [Indexed: 02/16/2024]
Abstract
Secondary structure is a principal determinant of lncRNA function, predominantly regarding scaffold formation and interfaces with target molecules. Noncanonical secondary structures that form in nucleic acids have known roles in regulating gene expression and include G-quadruplexes (G4s), intercalated motifs (iMs), and R-loops (RLs). In this paper, we used the computational tools G4-iM Grinder and QmRLFS-finder to predict the formation of each of these structures throughout the lncRNA transcriptome in comparison to protein-coding transcripts. The importance of the predicted structures in lncRNAs in biological contexts was assessed by combining our results with publicly available lncRNA tissue expression data followed by pathway analysis. The formation of predicted G4 (pG4) and iM (piM) structures in select lncRNA sequences was confirmed in vitro using biophysical experiments under near-physiological conditions. We find that the majority of the tested pG4s form highly stable G4 structures, and identify many previously unreported G4s in biologically important lncRNAs. In contrast, none of the piM sequences are able to form iM structures, consistent with the idea that RNA is unable to form stable iMs. Unexpectedly, these C-rich sequences instead form Z-RNA structures, which have not been previously observed in regions containing cytosine repeats and represent an interesting and underexplored target for protein-RNA interactions. Our results highlight the prevalence and potential structure-associated functions of noncanonical secondary structures in lncRNAs, and show G4 and Z-RNA structure formation in many lncRNA sequences for the first time, furthering the understanding of the structure-function relationship in lncRNAs.
Collapse
Affiliation(s)
- Uditi Bhatt
- School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Anne Cucchiarini
- Laboratoire d'Optique et Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91120 Palaiseau, France
| | - Yu Luo
- Laboratoire d'Optique et Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91120 Palaiseau, France
| | - Cameron W Evans
- School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Jean-Louis Mergny
- Laboratoire d'Optique et Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91120 Palaiseau, France
| | - K Swaminathan Iyer
- School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Nicole M Smith
- School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia;
| |
Collapse
|
36
|
Yazarlou F, Alizadeh F, Lipovich L, Giordo R, Ghafouri-Fard S. Tracing vitamins on the long non-coding lane of the transcriptome: vitamin regulation of LncRNAs. GENES & NUTRITION 2024; 19:5. [PMID: 38475720 PMCID: PMC10935982 DOI: 10.1186/s12263-024-00739-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 01/30/2024] [Indexed: 03/14/2024]
Abstract
A major revelation of genome-scale biological studies in the post-genomic era has been that two-thirds of human genes do not encode proteins. The majority of non-coding RNA transcripts in humans are long non-coding RNA (lncRNA) molecules, non-protein-coding regulatory transcripts with sizes greater than 500 nucleotides. LncRNAs are involved in nearly every aspect of cellular physiology, playing fundamental regulatory roles both in normal cells and in disease. As result, they are functionally linked to multiple human diseases, from cancer to autoimmune, inflammatory, and neurological disorders. Numerous human conditions and diseases stem from gene-environment interactions; in this regard, a wealth of reports demonstrate that the intake of specific and essential nutrients, including vitamins, shapes our transcriptome, with corresponding impacts on health. Vitamins command a vast array of biological activities, acting as coenzymes, antioxidants, hormones, and regulating cellular proliferation and coagulation. Emerging evidence suggests that vitamins and lncRNAs are interconnected through several regulatory axes. This type of interaction is expected, since lncRNA has been implicated in sensing the environment in eukaryotes, conceptually similar to riboswitches and other RNAs that act as molecular sensors in prokaryotes. In this review, we summarize the peer-reviewed literature to date that has reported specific functional linkages between vitamins and lncRNAs, with an emphasis on mammalian models and humans, while providing a brief overview of the source, metabolism, and function of the vitamins most frequently investigated within the context of lncRNA molecular mechanisms, and discussing the published research findings that document specific connections between vitamins and lncRNAs.
Collapse
Affiliation(s)
- Fatemeh Yazarlou
- Center for Childhood Cancer, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Box 505055, Dubai, United Arab Emirates
| | - Fatemeh Alizadeh
- Department of Genomic Psychiatry and Behavioral Genomics (DGPBG), Roozbeh Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Leonard Lipovich
- Department of Biology, College of Science, Mathematics, and Technology, Wenzhou-Kean University, Wenzhou, Zhejiang Province, China
- Shenzhen Huayuan Biological Science Research Institute, Shenzhen Huayuan Biotechnology Co. Ltd., 601 Building C1, Guangming Science Park, Fenghuang Street, 518000, Shenzhen, Guangdong, People's Republic of China
- Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, 3222 Scott Hall, 540 E. Canfield St., Detroit, MI, 48201, USA
| | - Roberta Giordo
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Box 505055, Dubai, United Arab Emirates.
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro, Sassari, 07100, Italy.
| | - Soudeh Ghafouri-Fard
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
37
|
López-Royo T, Moreno-Martínez L, Moreno-García L, Calvo AC, Manzano R, Osta R. Sex differences on constitutive long non-coding RNA expression: Modulatory effect of estradiol and testosterone in muscle cells. Andrology 2024. [PMID: 38469955 DOI: 10.1111/andr.13624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 02/09/2024] [Accepted: 02/18/2024] [Indexed: 03/13/2024]
Abstract
INTRODUCTION Despite the growing awareness of sexual dimorphism between males and females under pathological and physiological conditions, sex bias in biomedical research in animal models and patients is still present nowadays. The main objective of this work was to investigate sex differences in constitutive long non-coding RNA expression in spinal cord and skeletal muscle from wild-type mice. MATERIALS AND METHODS To assess the influence of gender on long non-coding RNAs, we extracted RNA from tissues of male and female mice and analyzed the expression on nine long non-coding RNAs, selected for being among the most commonly studied or exerting an important role in muscle, at 50, 60, and 120 days of age. RESULTS AND DISCUSSION We observed age- and tissue-dependent significant sex differences, being more prominent in skeletal muscle. We also studied the effect of sex steroid hormones on long non-coding RNA expression in vitro, noticing a modulation of long non-coding RNA levels upon estradiol and dihydrotestosterone treatment in muscle. CONCLUSIONS Taken together, results obtained evidenced sex differences on constitutive long non-coding RNA expression and suggested an influence of steroid hormones complementary to other possible factors. These findings emphasize the importance of including both sexes in experimental design to minimize any potential sex bias.
Collapse
Affiliation(s)
- Tresa López-Royo
- Department of Anatomy, Embryology and Animal Genetics, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Agroalimentary Institute of Aragon (IA2), Institute of Health Research of Aragon (IIS), University of Zaragoza, Zaragoza, Spain
| | - Laura Moreno-Martínez
- Department of Anatomy, Embryology and Animal Genetics, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Agroalimentary Institute of Aragon (IA2), Institute of Health Research of Aragon (IIS), University of Zaragoza, Zaragoza, Spain
| | - Leticia Moreno-García
- Department of Anatomy, Embryology and Animal Genetics, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Agroalimentary Institute of Aragon (IA2), Institute of Health Research of Aragon (IIS), University of Zaragoza, Zaragoza, Spain
| | - Ana Cristina Calvo
- Department of Anatomy, Embryology and Animal Genetics, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Agroalimentary Institute of Aragon (IA2), Institute of Health Research of Aragon (IIS), University of Zaragoza, Zaragoza, Spain
| | - Raquel Manzano
- Department of Anatomy, Embryology and Animal Genetics, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Agroalimentary Institute of Aragon (IA2), Institute of Health Research of Aragon (IIS), University of Zaragoza, Zaragoza, Spain
| | - Rosario Osta
- Department of Anatomy, Embryology and Animal Genetics, Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Agroalimentary Institute of Aragon (IA2), Institute of Health Research of Aragon (IIS), University of Zaragoza, Zaragoza, Spain
| |
Collapse
|
38
|
Wang Y, Bu N, Luan XF, Song QQ, Ma BF, Hao W, Yan JJ, Wang L, Zheng XL, Maimaitiyiming Y. Harnessing the potential of long non-coding RNAs in breast cancer: from etiology to treatment resistance and clinical applications. Front Oncol 2024; 14:1337579. [PMID: 38505593 PMCID: PMC10949897 DOI: 10.3389/fonc.2024.1337579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 02/19/2024] [Indexed: 03/21/2024] Open
Abstract
Breast cancer (BC) is the most common malignancy among women and a leading cause of cancer-related deaths of females worldwide. It is a complex and molecularly heterogeneous disease, with various subtypes that require different treatment strategies. Despite advances in high-resolution single-cell and multinomial technologies, distant metastasis and therapeutic resistance remain major challenges for BC treatment. Long non-coding RNAs (lncRNAs) are non-coding RNAs with more than 200 nucleotides in length. They act as competing endogenous RNAs (ceRNAs) to regulate post-transcriptional gene stability and modulate protein-protein, protein-DNA, and protein-RNA interactions to regulate various biological processes. Emerging evidence suggests that lncRNAs play essential roles in human cancers, including BC. In this review, we focus on the roles and mechanisms of lncRNAs in BC progression, metastasis, and treatment resistance, and discuss their potential value as therapeutic targets. Specifically, we summarize how lncRNAs are involved in the initiation and progression of BC, as well as their roles in metastasis and the development of therapeutic resistance. We also recapitulate the potential of lncRNAs as diagnostic biomarkers and discuss their potential use in personalized medicine. Finally, we provide lncRNA-based strategies to promote the prognosis of breast cancer patients in clinical settings, including the development of novel lncRNA-targeted therapies.
Collapse
Affiliation(s)
- Yun Wang
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Na Bu
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao-fei Luan
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qian-qian Song
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ba-Fang Ma
- Department of Immunology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
| | - Wenhui Hao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Jing-jing Yan
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Li Wang
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao-ling Zheng
- Department of Pharmacy, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yasen Maimaitiyiming
- Department of Immunology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi, China
- Cancer Center, Zhejiang University School of Medicine, Hangzhou, China
- Women’s Hospital, Institute of Genetics, and Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
- State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, Xinjiang Medical University, Urumqi, China
| |
Collapse
|
39
|
Luthra I, Jensen C, Chen XE, Salaudeen AL, Rafi AM, de Boer CG. Regulatory activity is the default DNA state in eukaryotes. Nat Struct Mol Biol 2024; 31:559-567. [PMID: 38448573 DOI: 10.1038/s41594-024-01235-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 01/29/2024] [Indexed: 03/08/2024]
Abstract
Genomes encode for genes and non-coding DNA, both capable of transcriptional activity. However, unlike canonical genes, many transcripts from non-coding DNA have limited evidence of conservation or function. Here, to determine how much biological noise is expected from non-genic sequences, we quantify the regulatory activity of evolutionarily naive DNA using RNA-seq in yeast and computational predictions in humans. In yeast, more than 99% of naive DNA bases were transcribed. Unlike the evolved transcriptome, naive transcripts frequently overlapped with opposite sense transcripts, suggesting selection favored coherent gene structures in the yeast genome. In humans, regulation-associated chromatin activity is predicted to be common in naive dinucleotide-content-matched randomized DNA. Here, naive and evolved DNA have similar co-occurrence and cell-type specificity of chromatin marks, challenging these as indicators of selection. However, in both yeast and humans, extreme high activities were rare in naive DNA, suggesting they result from selection. Overall, basal regulatory activity seems to be the default, which selection can hone to evolve a function or, if detrimental, repress.
Collapse
Affiliation(s)
- Ishika Luthra
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Cassandra Jensen
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Xinyi E Chen
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Asfar Lathif Salaudeen
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Abdul Muntakim Rafi
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Carl G de Boer
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
| |
Collapse
|
40
|
Li C, Zhou M, Song X, Huang S, Guo Z. Regulatory mechanisms of long non-coding RNAs on mitochondrial function in congestive heart failure. Noncoding RNA Res 2024; 9:178-184. [PMID: 38496707 PMCID: PMC10943537 DOI: 10.1016/j.ncrna.2023.11.007] [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: 08/24/2023] [Revised: 10/27/2023] [Accepted: 11/13/2023] [Indexed: 03/19/2024] Open
Abstract
Congestive heart failure (CHF) is a multifaceted cardiovascular condition that imposes significant economic and social burdens on society, while also presenting a dearth of efficacious treatment modalities. Long non-coding RNAs (lncRNAs) possess the ability to influence the pathophysiological mechanisms underlying cardiac disease through their regulation of gene transcription, translation, and post-translational modifications. Additionally, certain lncRNAs can be encoded by the mitochondrial genome, hence impacting mitochondrial function. The heart relies heavily on mitochondrial oxidative phosphorylation for approximately 95 % of its ATP production. Consequently, the primary determinant linking mitochondrial dysfunction to heart failure is the impairment of cardiac energy supply resulting from mitochondrial injury. Cardiac dysfunction can arise as a result of various factors, including metabolic disease, disturbances in calcium homeostasis, oxidative stress, apoptosis, and mitochondrial phagocytosis, all of which are facilitated by mitochondrial damage. Currently, an increasing body of research indicates that lncRNA plays a significant role in the regulation of mitochondrial activity, hence impacting heart failure. As a result, the goal of this paper is to propose new ideas and targets for clinical research and therapy of heart failure by reviewing recent research on the regulatory mechanism of mitochondrial function by novel lncRNAs.
Collapse
Affiliation(s)
| | | | - Xiaowei Song
- Department of Cardiology, Changhai Hospital, Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China
| | - Songqun Huang
- Department of Cardiology, Changhai Hospital, Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China
| | - Zhifu Guo
- Department of Cardiology, Changhai Hospital, Naval Medical University, No. 168, Changhai Road, Yangpu District, Shanghai, 200433, China
| |
Collapse
|
41
|
Wang A. Conceptual breakthroughs of the long noncoding RNA functional system and its endogenous regulatory role in the cancerous regime. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2024; 5:170-186. [PMID: 38464381 PMCID: PMC10918237 DOI: 10.37349/etat.2024.00211] [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: 08/29/2023] [Accepted: 12/18/2023] [Indexed: 03/12/2024] Open
Abstract
Long noncoding RNAs (lncRNAs) derived from noncoding regions in the human genome were once regarded as junks with no biological significance, but recent studies have shown that these molecules are highly functional, prompting an explosion of studies on their biology. However, these recent efforts have only begun to recognize the biological significance of a small fraction (< 1%) of the lncRNAs. The basic concept of these lncRNA functions remains controversial. This controversy arises primarily from conventional biased observations based on limited datasets. Fortunately, emerging big data provides a promising path to circumvent conventional bias to understand an unbiased big picture of lncRNA biology and advance the fundamental principles of lncRNA biology. This review focuses on big data studies that break through the critical concepts of the lncRNA functional system and its endogenous regulatory roles in all cancers. lncRNAs have unique functional systems distinct from proteins, such as transcriptional initiation and regulation, and they abundantly interact with mitochondria and consume less energy. lncRNAs, rather than proteins as traditionally thought, function as the most critical endogenous regulators of all cancers. lncRNAs regulate the cancer regulatory regime by governing the endogenous regulatory network of all cancers. This is accomplished by dominating the regulatory network module and serving as a key hub and top inducer. These critical conceptual breakthroughs lay a blueprint for a comprehensive functional picture of the human genome. They also lay a blueprint for combating human diseases that are regulated by lncRNAs.
Collapse
Affiliation(s)
- Anyou Wang
- Feinstone Center for Genomic Research, University of Memphis, Memphis, TN 38152, USA
| |
Collapse
|
42
|
Amir N, Taube R. Role of long noncoding RNA in regulating HIV infection-a comprehensive review. mBio 2024; 15:e0192523. [PMID: 38179937 PMCID: PMC10865847 DOI: 10.1128/mbio.01925-23] [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: 01/06/2024] Open
Abstract
A complete cure against human immunodeficiency virus (HIV) infection remains out of reach, as the virus persists in stable cell reservoirs that are resistant to antiretroviral therapy. The key to eliminating these reservoirs lies in deciphering the processes that govern viral gene expression and latency. However, while we comprehensively understand how host proteins influence HIV gene expression and viral latency, the emerging role of long noncoding RNAs (lncRNAs) in the context of T cell activation, HIV gene expression, and viral latency remain unexplored. This review dives into the evolving significance of lncRNAs and their impact on HIV gene expression and viral latency. We provide an overview of the current knowledge regarding how lncRNAs regulate HIV gene expression, categorizing them as either activators or inhibitors of viral gene expression and infectivity. Furthermore, we offer insights into the potential therapeutic applications of lncRNAs in combatting HIV. A deeper understanding of how lncRNAs modulate HIV gene transcription holds promise for developing novel RNA-based therapies to complement existing treatment strategies to eradicate HIV reservoirs.
Collapse
Affiliation(s)
- Noa Amir
- The Shraga Segal Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Negev, Israel
| | - Ran Taube
- The Shraga Segal Department of Microbiology Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Negev, Israel
| |
Collapse
|
43
|
Zhang Y, Gao Y, Li F, Qi Q, Li Q, Gu Y, Zheng Z, Hu B, Wang T, Zhang E, Xu H, Liu L, Tian T, Jin G, Yan C. Long non-coding RNA NRAV in the 12q24.31 risk locus drives gastric cancer development through glucose metabolism reprogramming. Carcinogenesis 2024; 45:23-34. [PMID: 37950445 DOI: 10.1093/carcin/bgad080] [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: 03/21/2023] [Revised: 10/24/2023] [Accepted: 11/08/2023] [Indexed: 11/12/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) serve as vital candidates to mediate cancer risk. Here, we aimed to identify the risk single-nucleotide polymorphisms (SNPs)-induced lncRNAs and to investigate their roles in gastric cancer (GC) development. Through integrating the differential expression analysis of lncRNAs in GC tissues and expression quantitative trait loci analysis in normal stomach tissues and GC tissues, as well as genetic association analysis based on GC genome-wide association studies and an independent validation study, we identified four lncRNA-related SNPs consistently associated with GC risk, including SNHG7 [odds ratio (OR) = 1.16, 95% confidence interval (CI): 1.09-1.23], NRAV (OR = 1.11, 95% CI: 1.05-1.17), LINC01082 (OR = 1.16, 95% CI: 1.08-1.22) and FENDRR (OR = 1.16, 95% CI: 1.07-1.25). We further found that a functional SNP rs6489786 at 12q24.31 increases binding of MEOX1 or MEOX2 at a distal enhancer and results in up-regulation of NRAV. The functional assays revealed that NRAV accelerates GC cell proliferation while inhibits GC cell apoptosis. Mechanistically, NRAV decreases the expression of key subunit genes through the electron transport chain, thereby driving the glucose metabolism reprogramming from aerobic respiration to glycolysis. These findings suggest that regulating lncRNA expression is a crucial mechanism for risk-associated variants in promoting GC development.
Collapse
Affiliation(s)
- Yan Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Yun Gao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Fengyuan Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qi Qi
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qian Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yuanliang Gu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhonghua Zheng
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Beiping Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tianpei Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Public Health Institute of Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Erbao Zhang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Hao Xu
- Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Liu
- Institute of Digestive Endoscopy, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tian Tian
- Department of Epidemiology, School of Public Health, Nantong University, Nantong, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
- Public Health Institute of Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Caiwang Yan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Immunology, Key Laboratory of Immunological Environment and Disease, Nanjing Medical University, Nanjing, China
- The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Wuxi, China
| |
Collapse
|
44
|
Chen J, Wang R, Xiong F, Sun H, Kemper B, Li W, Kemper JK. Hammerhead-type FXR agonists induce an eRNA FincoR that ameliorates nonalcoholic steatohepatitis in mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.20.567833. [PMID: 38045226 PMCID: PMC10690184 DOI: 10.1101/2023.11.20.567833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
The nuclear receptor, Farnesoid X Receptor (FXR/NR1H4), is increasingly recognized as a promising drug target for metabolic diseases, including nonalcoholic steatohepatitis (NASH). Protein coding genes regulated by FXR are well known, but whether FXR also acts through regulation of long non-coding RNAs (lncRNAs), which vastly outnumber protein-coding genes, remains unknown. Utilizing RNA-seq and GRO-seq analyses in mouse liver, we found that FXR activation affects the expression of many RNA transcripts from chromatin regions bearing enhancer features. Among these we discovered a previously unannotated liver-enriched enhancer-derived lncRNA (eRNA), termed FincoR. We show that FincoR is specifically induced by the hammerhead-type FXR agonists, including GW4064 and tropifexor. CRISPR/Cas9-mediated liver-specific knockdown of FincoR in dietary NASH mice reduced the beneficial effects of tropifexor, an FXR agonist currently in clinical trials for NASH and primary biliary cholangitis (PBC), indicating that that amelioration of liver fibrosis and inflammation in NASH treatment by tropifexor is mediated in part by FincoR. Overall, our findings highlight that pharmacological activation of FXR by hammerhead-type agonists induces a novel eRNA, FincoR, contributing to the amelioration of NASH in mice. FincoR may represent a new drug target for addressing metabolic disorders, including NASH.
Collapse
Affiliation(s)
- Jinjing Chen
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Ruoyu Wang
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Feng Xiong
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Hao Sun
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Byron Kemper
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Wenbo Li
- Department of Biochemistry and Molecular Biology, McGovern Medical School, University of Texas Health Science Center, Houston, TX, USA
| | - Jongsook Kim Kemper
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| |
Collapse
|
45
|
Luna-Arias JP, Castro-Muñozledo F. Participation of the TBP-associated factors (TAFs) in cell differentiation. J Cell Physiol 2024; 239:e31167. [PMID: 38126142 DOI: 10.1002/jcp.31167] [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: 09/18/2023] [Revised: 11/04/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
The understanding of the mechanisms that regulate gene expression to establish differentiation programs and determine cell lineages, is one of the major challenges in Developmental Biology. Besides the participation of tissue-specific transcription factors and epigenetic processes, the role of general transcription factors has been ignored. Only in recent years, there have been scarce studies that address this issue. Here, we review the studies on the biological activity of some TATA-box binding protein (TBP)-associated factors (TAFs) during the proliferation of stem/progenitor cells and their involvement in cell differentiation. Particularly, the accumulated evidence suggests that TAF4, TAF4b, TAF7L, TAF8, TAF9, and TAF10, among others, participate in nervous system development, adipogenesis, myogenesis, and epidermal differentiation; while TAF1, TAF7, TAF15 may be involved in the regulation of stem cell proliferative abilities and cell cycle progression. On the other hand, evidence suggests that TBP variants such as TBPL1 and TBPL2 might be regulating some developmental processes such as germ cell maturation and differentiation, myogenesis, or ventral specification during development. Our analysis shows that it is necessary to study in greater depth the biological function of these factors and its participation in the assembly of specific transcription complexes that contribute to the differential gene expression that gives rise to the great diversity of cell types existing in an organism. The understanding of TAFs' regulation might lead to the development of new therapies for patients which suffer from mutations, alterations, and dysregulation of these essential elements of the transcriptional machinery.
Collapse
Affiliation(s)
- Juan Pedro Luna-Arias
- Departamento de Biología Celular, Centro de Investigación y de Estudios Avanzados del IPN, México City, Mexico
| | - Federico Castro-Muñozledo
- Departamento de Biología Celular, Centro de Investigación y de Estudios Avanzados del IPN, México City, Mexico
| |
Collapse
|
46
|
Brunner TM, Serve S, Marx AF, Fadejeva J, Saikali P, Dzamukova M, Durán-Hernández N, Kommer C, Heinrich F, Durek P, Heinz GA, Höfer T, Mashreghi MF, Kühn R, Pinschewer DD, Löhning M. A type 1 immunity-restricted promoter of the IL-33 receptor gene directs antiviral T-cell responses. Nat Immunol 2024; 25:256-267. [PMID: 38172258 PMCID: PMC10834369 DOI: 10.1038/s41590-023-01697-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 11/02/2023] [Indexed: 01/05/2024]
Abstract
The pleiotropic alarmin interleukin-33 (IL-33) drives type 1, type 2 and regulatory T-cell responses via its receptor ST2. Subset-specific differences in ST2 expression intensity and dynamics suggest that transcriptional regulation is key in orchestrating the context-dependent activity of IL-33-ST2 signaling in T-cell immunity. Here, we identify a previously unrecognized alternative promoter in mice and humans that is located far upstream of the curated ST2-coding gene and drives ST2 expression in type 1 immunity. Mice lacking this promoter exhibit a selective loss of ST2 expression in type 1- but not type 2-biased T cells, resulting in impaired expansion of cytotoxic T cells (CTLs) and T-helper 1 cells upon viral infection. T-cell-intrinsic IL-33 signaling via type 1 promoter-driven ST2 is critical to generate a clonally diverse population of antiviral short-lived effector CTLs. Thus, lineage-specific alternative promoter usage directs alarmin responsiveness in T-cell subsets and offers opportunities for immune cell-specific targeting of the IL-33-ST2 axis in infections and inflammatory diseases.
Collapse
Affiliation(s)
- Tobias M Brunner
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany.
| | - Sebastian Serve
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, Berlin, Germany
| | - Anna-Friederike Marx
- Division of Experimental Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Jelizaveta Fadejeva
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Philippe Saikali
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Maria Dzamukova
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Nayar Durán-Hernández
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Christoph Kommer
- Division of Theoretical Systems Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- BioQuant Center, University of Heidelberg, Heidelberg, Germany
| | - Frederik Heinrich
- Therapeutic Gene Regulation, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Pawel Durek
- Therapeutic Gene Regulation, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Gitta A Heinz
- Therapeutic Gene Regulation, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Thomas Höfer
- Division of Theoretical Systems Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- BioQuant Center, University of Heidelberg, Heidelberg, Germany
| | - Mir-Farzin Mashreghi
- Therapeutic Gene Regulation, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany
| | - Ralf Kühn
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Daniel D Pinschewer
- Division of Experimental Virology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Max Löhning
- Experimental Immunology and Osteoarthritis Research, Department of Rheumatology and Clinical Immunology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- Pitzer Laboratory of Osteoarthritis Research, German Rheumatism Research Center (DRFZ), a Leibniz Institute, Berlin, Germany.
| |
Collapse
|
47
|
Uemura K, Ohyama T. Physical Peculiarity of Two Sites in Human Promoters: Universality and Diverse Usage in Gene Function. Int J Mol Sci 2024; 25:1487. [PMID: 38338773 PMCID: PMC10855393 DOI: 10.3390/ijms25031487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 02/12/2024] Open
Abstract
Since the discovery of physical peculiarities around transcription start sites (TSSs) and a site corresponding to the TATA box, research has revealed only the average features of these sites. Unsettled enigmas include the individual genes with these features and whether they relate to gene function. Herein, using 10 physical properties of DNA, including duplex DNA free energy, base stacking energy, protein-induced deformability, and stabilizing energy of Z-DNA, we clarified for the first time that approximately 97% of the promoters of 21,056 human protein-coding genes have distinctive physical properties around the TSS and/or position -27; of these, nearly 65% exhibited such properties at both sites. Furthermore, about 55% of the 21,056 genes had a minimum value of regional duplex DNA free energy within TSS-centered ±300 bp regions. Notably, distinctive physical properties within the promoters and free energies of the surrounding regions separated human protein-coding genes into five groups; each contained specific gene ontology (GO) terms. The group represented by immune response genes differed distinctly from the other four regarding the parameter of the free energies of the surrounding regions. A vital suggestion from this study is that physical-feature-based analyses of genomes may reveal new aspects of the organization and regulation of genes.
Collapse
Affiliation(s)
- Kohei Uemura
- Major in Integrative Bioscience and Biomedical Engineering, Graduate School of Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan;
| | - Takashi Ohyama
- Major in Integrative Bioscience and Biomedical Engineering, Graduate School of Science and Engineering, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan;
- Department of Biology, Faculty of Education and Integrated Arts and Sciences, Waseda University, 2-2 Wakamatsu-cho, Shinjuku-ku, Tokyo 162-8480, Japan
| |
Collapse
|
48
|
Zheng H, Wang S, Li X, Hu H. A computational modeling of pri-miRNA expression. PLoS One 2024; 19:e0290768. [PMID: 38165860 PMCID: PMC10760784 DOI: 10.1371/journal.pone.0290768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 08/15/2023] [Indexed: 01/04/2024] Open
Abstract
MicroRNAs (miRNAs) play crucial roles in gene regulation. Most studies focus on mature miRNAs, which leaves many unknowns about primary miRNAs (pri-miRNAs). To fill the gap, we attempted to model the expression of pri-miRNAs in 1829 primary cell types, cell lines, and tissues in this study. We demonstrated that the expression of pri-miRNAs can be modeled well by the expression of specific sets of mRNAs, which we termed their associated mRNAs. These associated mRNAs differ from their corresponding target mRNAs and are enriched with specific functions. Most associated mRNAs of a miRNA are shared across conditions, while on average, about one-fifth of the associated mRNAs are condition-specific. Our study shed new light on understanding miRNA biogenesis and general gene transcriptional regulation.
Collapse
Affiliation(s)
- Hansi Zheng
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| | - Saidi Wang
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| | - Xiaoman Li
- Burnett School of Biomedical Science, College of Medicine, University of Central Florida, Orlando, Florida, United States of America
| | - Haiyan Hu
- Department of Computer Science, University of Central Florida, Orlando, Florida, United States of America
| |
Collapse
|
49
|
Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, Alföldi J, Watts NA, Vittal C, Gauthier LD, Poterba T, Wilson MW, Tarasova Y, Phu W, Grant R, Yohannes MT, Koenig Z, Farjoun Y, Banks E, Donnelly S, Gabriel S, Gupta N, Ferriera S, Tolonen C, Novod S, Bergelson L, Roazen D, Ruano-Rubio V, Covarrubias M, Llanwarne C, Petrillo N, Wade G, Jeandet T, Munshi R, Tibbetts K, O'Donnell-Luria A, Solomonson M, Seed C, Martin AR, Talkowski ME, Rehm HL, Daly MJ, Tiao G, Neale BM, MacArthur DG, Karczewski KJ. A genomic mutational constraint map using variation in 76,156 human genomes. Nature 2024; 625:92-100. [PMID: 38057664 DOI: 10.1038/s41586-023-06045-0] [Citation(s) in RCA: 158] [Impact Index Per Article: 158.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/03/2023] [Indexed: 12/08/2023]
Abstract
The depletion of disruptive variation caused by purifying natural selection (constraint) has been widely used to investigate protein-coding genes underlying human disorders1-4, but attempts to assess constraint for non-protein-coding regions have proved more difficult. Here we aggregate, process and release a dataset of 76,156 human genomes from the Genome Aggregation Database (gnomAD)-the largest public open-access human genome allele frequency reference dataset-and use it to build a genomic constraint map for the whole genome (genomic non-coding constraint of haploinsufficient variation (Gnocchi)). We present a refined mutational model that incorporates local sequence context and regional genomic features to detect depletions of variation. As expected, the average constraint for protein-coding sequences is stronger than that for non-coding regions. Within the non-coding genome, constrained regions are enriched for known regulatory elements and variants that are implicated in complex human diseases and traits, facilitating the triangulation of biological annotation, disease association and natural selection to non-coding DNA analysis. More constrained regulatory elements tend to regulate more constrained protein-coding genes, which in turn suggests that non-coding constraint can aid the identification of constrained genes that are as yet unrecognized by current gene constraint metrics. We demonstrate that this genome-wide constraint map improves the identification and interpretation of functional human genetic variation.
Collapse
Affiliation(s)
- Siwei Chen
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
| | - Laurent C Francioli
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Julia K Goodrich
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ryan L Collins
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Medical Sciences, Harvard Medical School, Boston, MA, USA
| | - Masahiro Kanai
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Qingbo Wang
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Jessica Alföldi
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Nicholas A Watts
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher Vittal
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Laura D Gauthier
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Timothy Poterba
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael W Wilson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Yekaterina Tarasova
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - William Phu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Riley Grant
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mary T Yohannes
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zan Koenig
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yossi Farjoun
- Richards Lab, Lady Davis Institute, Montreal, Quebec, Canada
| | - Eric Banks
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Stacey Gabriel
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Namrata Gupta
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Steven Ferriera
- Broad Genomics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Charlotte Tolonen
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sam Novod
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Louis Bergelson
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - David Roazen
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Miguel Covarrubias
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Nikelle Petrillo
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Gordon Wade
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Thibault Jeandet
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Ruchi Munshi
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kathleen Tibbetts
- Data Science Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Matthew Solomonson
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Cotton Seed
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alicia R Martin
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michael E Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Heidi L Rehm
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mark J Daly
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Institute for Molecular Medicine Finland (FIMM), Helsinki, Finland
| | - Grace Tiao
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Benjamin M Neale
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Daniel G MacArthur
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Konrad J Karczewski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA.
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| |
Collapse
|
50
|
Tracy KM, Prior S, Trowbridge WT, Boyd JR, Ghule PN, Frietze S, Stein JL, Stein GS, Lian JB. Bromodomain Proteins Epigenetically Regulate the Mitotically Associated lncRNA MANCR in Triple Negative Breast Cancer Cells. Crit Rev Eukaryot Gene Expr 2024; 34:61-71. [PMID: 38073442 PMCID: PMC11023627 DOI: 10.1615/critreveukaryotgeneexpr.2023050109] [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: 12/18/2023]
Abstract
Long non-coding RNA (lncRNA)-mediated control of gene expression contributes to regulation of biological processes that include proliferation and phenotype, as well as compromised expression of genes that are functionally linked to cancer initiation and tumor progression. lncRNAs have emerged as novel targets and biomarkers in breast cancer. We have shown that mitotically associated lncRNA MANCR is expressed in triple-negative breast cancer (TNBC) cells and that it serves a critical role in promoting genome stability and survival in aggressive breast cancer cells. Using an siRNA strategy, we selectively depleted BRD2, BRD3, and BRD4, singly and in combination, to establish which bromodomain proteins regulate MANCR expression in TNBC cells. Our findings were confirmed by using in situ hybridization combined with immunofluorescence analysis that revealed BRD4, either alone or with BRD2 and BRD3, can support MANCR regulation of TNBC cells. Here we provide evidence for MANCR-responsive epigenetic control of super enhancers by histone modifications that are required for gene transcription to support cell survival and expression of the epithelial tumor phenotype in triple negative breast cancer cells.
Collapse
Affiliation(s)
- Kirsten M. Tracy
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
| | - Shannon Prior
- Department of Biomedical and Health Sciences, University of Vermont College of Nursing and Health Sciences, Burlington, VT 05405
| | - Willem T. Trowbridge
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
| | - Joseph R. Boyd
- Department of Biomedical and Health Sciences, University of Vermont College of Nursing and Health Sciences, Burlington, VT 05405
| | - Prachi N. Ghule
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
- Department of Biomedical and Health Sciences, University of Vermont College of Nursing and Health Sciences, Burlington, VT 05405
| | - Seth Frietze
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
- Department of Biomedical and Health Sciences, University of Vermont College of Nursing and Health Sciences, Burlington, VT 05405
- University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, VT 05405
| | - Janet L. Stein
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
- University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, VT 05405
| | - Gary S. Stein
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
- University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, VT 05405
| | - Jane B. Lian
- Department of Biochemistry, University of Vermont Larner College of Medicine, Burlington, VT 05405
- University of Vermont Cancer Center, University of Vermont Larner College of Medicine, Burlington, VT 05405
| |
Collapse
|