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Liu X, Jin W, Bao D, He T, Wang W, Li Z, Yang X, Tong Y, Shu M, Wang Y, Yuan J, Yang Y. DIPAN: Detecting personalized intronic polyadenylation derived neoantigens from RNA sequencing data. Comput Struct Biotechnol J 2024; 23:2057-2066. [PMID: 38783901 PMCID: PMC11112131 DOI: 10.1016/j.csbj.2024.05.008] [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: 12/06/2023] [Revised: 05/05/2024] [Accepted: 05/06/2024] [Indexed: 05/25/2024] Open
Abstract
Intronic polyadenylation (IPA) refers to a particular type of alternative polyadenylation where a gene makes use of a polyadenylation site located within its introns. Aberrant IPA events have been observed in various types of cancer. IPA can produce noncoding transcripts or truncated protein-coding transcripts with altered coding sequences in the resulting protein product. Therefore, IPA events hold the potential to act as a reservoir of tumor neoantigens. Here, we developed a computational method termed DIPAN, which incorporates IPA detection, protein fragmentation, and MHC binding prediction to predict IPA-derived neoantigens. Utilizing RNA-seq from breast cancer cell lines and ovarian cancer clinical samples, we demonstrated the significant contribution of IPA events to the neoantigen repertoire. Through mass spectrometry immunopeptidome analysis, we further illustrated the processing and presentation of IPA-derived neoantigens on the surface of cancer cells. While most IPA-derived neoantigens are sample-specific, shared neoantigens were identified in both cancer cell lines and clinical samples. Furthermore, we demonstrated an association between IPA-derived neoantigen burden and overall survival in cancer patients.
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Affiliation(s)
- Xiaochuan Liu
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Wen Jin
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Dengyi Bao
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Tongxin He
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Wenhui Wang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Zekun Li
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xiaoxiao Yang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yang Tong
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Meng Shu
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yuting Wang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Jiapei Yuan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Yang Yang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
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2
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Shine M, Gordon J, Schärfen L, Zigackova D, Herzel L, Neugebauer KM. Co-transcriptional gene regulation in eukaryotes and prokaryotes. Nat Rev Mol Cell Biol 2024; 25:534-554. [PMID: 38509203 DOI: 10.1038/s41580-024-00706-2] [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: 01/19/2024] [Indexed: 03/22/2024]
Abstract
Many steps of RNA processing occur during transcription by RNA polymerases. Co-transcriptional activities are deemed commonplace in prokaryotes, in which the lack of membrane barriers allows mixing of all gene expression steps, from transcription to translation. In the past decade, an extraordinary level of coordination between transcription and RNA processing has emerged in eukaryotes. In this Review, we discuss recent developments in our understanding of co-transcriptional gene regulation in both eukaryotes and prokaryotes, comparing methodologies and mechanisms, and highlight striking parallels in how RNA polymerases interact with the machineries that act on nascent RNA. The development of RNA sequencing and imaging techniques that detect transient transcription and RNA processing intermediates has facilitated discoveries of transcription coordination with splicing, 3'-end cleavage and dynamic RNA folding and revealed physical contacts between processing machineries and RNA polymerases. Such studies indicate that intron retention in a given nascent transcript can prevent 3'-end cleavage and cause transcriptional readthrough, which is a hallmark of eukaryotic cellular stress responses. We also discuss how coordination between nascent RNA biogenesis and transcription drives fundamental aspects of gene expression in both prokaryotes and eukaryotes.
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Affiliation(s)
- Morgan Shine
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Jackson Gordon
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Leonard Schärfen
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Dagmar Zigackova
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA
| | - Lydia Herzel
- Department of Biology, Chemistry, and Pharmacy, Freie Universität Berlin, Berlin, Germany.
| | - Karla M Neugebauer
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
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3
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Jia J, Fan H, Wan X, Fang Y, Li Z, Tang Y, Zhang Y, Huang J, Fang D. FUS reads histone H3K36me3 to regulate alternative polyadenylation. Nucleic Acids Res 2024; 52:5549-5571. [PMID: 38499486 PMCID: PMC11162772 DOI: 10.1093/nar/gkae184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 02/18/2024] [Accepted: 03/04/2024] [Indexed: 03/20/2024] Open
Abstract
Complex organisms generate differential gene expression through the same set of DNA sequences in distinct cells. The communication between chromatin and RNA regulates cellular behavior in tissues. However, little is known about how chromatin, especially histone modifications, regulates RNA polyadenylation. In this study, we found that FUS was recruited to chromatin by H3K36me3 at gene bodies. The H3K36me3 recognition of FUS was mediated by the proline residues in the ZNF domain. After these proline residues were mutated or H3K36me3 was abolished, FUS dissociated from chromatin and bound more to RNA, resulting in an increase in polyadenylation sites far from stop codons genome-wide. A proline mutation corresponding to a mutation in amyotrophic lateral sclerosis contributed to the hyperactivation of mitochondria and hyperdifferentiation in mouse embryonic stem cells. These findings reveal that FUS is an H3K36me3 reader protein that links chromatin-mediated alternative polyadenylation to human disease.
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Affiliation(s)
- Junqi Jia
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Haonan Fan
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Xinyi Wan
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yuan Fang
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Zhuoning Li
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yin Tang
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Yanjun Zhang
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jun Huang
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Dong Fang
- Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China
- Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Tang M, Liu Y, Zhang H, Sun L, Lü P, Chen K. Comprehensive transcriptome sequencing of silkworm Midguts: Uncovering extensive isoform diversity and alternative splicing in BmNPV-Sensitive and BmNPV-resistant strains. J Invertebr Pathol 2024; 204:108104. [PMID: 38608751 DOI: 10.1016/j.jip.2024.108104] [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: 12/05/2023] [Revised: 03/06/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024]
Abstract
The silkworm, Bombyx mori, stands out as one of the few economically valuable insects within the realm of model organisms. However, Bombyx mori nucleopolyhedrovirus (BmNPV) poses a significant threat, decreasing the quality and quantity of silkworm cocoons. Over the past few decades, a multitude of researchers has delved into the mechanisms that underlie silkworm resistance to BmNPV, employing diverse methodologies and approaching the problem from various angles. Despite this extensive research, the role of alternative splicing (AS) in the silkworm's response to BmNPV infection has been largely unexplored. This study leveraged both third-generation (Oxford Nanopore Technologies) and second-generation (Illumina) high-throughput sequencing technologies to meticulously identify and analyze AS patterns in the context of BmNPV response, utilizing two distinct silkworm strains-the susceptible strain 306 and the resistant strain NB. Consequently, we identified five crucial genes (Dsclp, LOC692903, LOC101743583, LOC101742498, LOC101743809) that are linked to the response to BmNPV infection through AS and differential expression. Additionally, a thorough comparative analysis was conducted on their diverse transcriptomic expression profiles, including alternative polyadenylation, simple sequence repeats, and transcription factors.
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Affiliation(s)
- Min Tang
- School of Life Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China
| | - Yi Liu
- School of Life Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China
| | - Hantao Zhang
- School of Life Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China
| | - Lindan Sun
- School of Life Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China
| | - Peng Lü
- School of Life Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China
| | - Keping Chen
- School of Life Sciences, Jiangsu University, Zhenjiang 212013, Jiangsu Province, China.
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5
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Zhang YE, Stuelten CH. Alternative splicing in EMT and TGF-β signaling during cancer progression. Semin Cancer Biol 2024; 101:1-11. [PMID: 38614376 PMCID: PMC11180579 DOI: 10.1016/j.semcancer.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 11/20/2023] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
Epithelial to mesenchymal transition (EMT) is a physiological process during development where epithelial cells transform to acquire mesenchymal characteristics, which allows them to migrate and colonize secondary tissues. Many cellular signaling pathways and master transcriptional factors exert a myriad of controls to fine tune this vital process to meet various developmental and physiological needs. Adding to the complexity of this network are post-transcriptional and post-translational regulations. Among them, alternative splicing has been shown to play important roles to drive EMT-associated phenotypic changes, including actin cytoskeleton remodeling, cell-cell junction changes, cell motility and invasiveness. In advanced cancers, transforming growth factor-β (TGF-β) is a major inducer of EMT and is associated with tumor cell metastasis, cancer stem cell self-renewal, and drug resistance. This review aims to provide an overview of recent discoveries regarding alternative splicing events and the involvement of splicing factors in the EMT and TGF-β signaling. It will emphasize the importance of various splicing factors involved in EMT and explore their regulatory mechanisms.
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Affiliation(s)
- Ying E Zhang
- Laboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
| | - Christina H Stuelten
- Laboratory of Cellular and Molecular Biology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
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Hu Z, Li M, Chen Y, Chen L, Han Y, Chen C, Lu X, You N, Lou Y, Huang Y, Huo Z, Liu C, Liang C, Liu S, Deng K, Chen L, Chen S, Wan G, Wu X, Fu Y, Xu A. Disruption of PABPN1 phase separation by SNRPD2 drives colorectal cancer cell proliferation and migration through promoting alternative polyadenylation of CTNNBIP1. SCIENCE CHINA. LIFE SCIENCES 2024; 67:1212-1225. [PMID: 38811444 DOI: 10.1007/s11427-023-2495-x] [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: 10/05/2023] [Accepted: 11/26/2023] [Indexed: 05/31/2024]
Abstract
Generally shortened 3' UTR due to alternative polyadenylation (APA) is widely observed in cancer, but its regulation mechanisms for cancer are not well characterized. Here, with profiling of APA in colorectal cancer tissues and poly(A) signal editing, we firstly identified that the shortened 3' UTR of CTNNIBP1 in colorectal cancer promotes cell proliferation and migration. We found that liquid-liquid phase separation (LLPS) of PABPN1 is reduced albeit with higher expression in cancer, and the reduction of LLPS leads to the shortened 3' UTR of CTNNBIP1 and promotes cell proliferation and migration. Notably, the splicing factor SNRPD2 upregulated in colorectal cancer, can interact with glutamic-proline (EP) domain of PABPN1, and then disrupt LLPS of PABPN1, which attenuates the repression effect of PABPN1 on the proximal poly(A) sites. Our results firstly reveal a new regulation mechanism of APA by disruption of LLPS of PABPN1, suggesting that regulation of APA by interfering LLPS of 3' end processing factor may have the potential as a new way for the treatment of cancer.
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Affiliation(s)
- Zhijie Hu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Mengxia Li
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Yufeng Chen
- Department of General Surgery (Colorectal Surgery) & Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases & Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Liutao Chen
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Yuting Han
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Chengyong Chen
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xin Lu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Nan You
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
| | - Yawen Lou
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
| | - Yingye Huang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Zhanfeng Huo
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Chao Liu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Cheng Liang
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Susu Liu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Ke Deng
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Liangfu Chen
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Shangwu Chen
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China
| | - Guohui Wan
- National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
| | - Xiaojian Wu
- Department of General Surgery (Colorectal Surgery) & Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases & Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
| | - Yonggui Fu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
| | - Anlong Xu
- State Key Laboratory of Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, China.
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, 100029, China.
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7
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Chu R, Wang Y, Kong J, Pan T, Yang Y, He J. Lipid nanoparticles as the drug carrier for targeted therapy of hepatic disorders. J Mater Chem B 2024; 12:4759-4784. [PMID: 38682294 DOI: 10.1039/d3tb02766j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
The liver, a complex and vital organ in the human body, is susceptible to various diseases, including metabolic disorders, acute hepatitis, cirrhosis, and hepatocellular carcinoma. In recent decades, these diseases have significantly contributed to global morbidity and mortality. Currently, liver transplantation remains the most effective treatment for hepatic disorders. Nucleic acid therapeutics offer a selective approach to disease treatment through diverse mechanisms, enabling the regulation of relevant genes and providing a novel therapeutic avenue for hepatic disorders. It is expected that nucleic acid drugs will emerge as the third generation of pharmaceuticals, succeeding small molecule drugs and antibody drugs. Lipid nanoparticles (LNPs) represent a crucial technology in the field of drug delivery and constitute a significant advancement in gene therapies. Nucleic acids encapsulated in LNPs are shielded from the degradation of enzymes and effectively delivered to cells, where they are released and regulate specific genes. This paper provides a comprehensive review of the structure, composition, and applications of LNPs in the treatment of hepatic disorders and offers insights into prospects and challenges in the future development of LNPs.
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Affiliation(s)
- Runxuan Chu
- National Advanced Medical Engineering Research Center, China State Institute of Pharmaceutical Industry, 285 Gebaini Road, Shanghai 201203, P. R. China.
| | - Yi Wang
- Department of Chemistry, Hong Kong Baptist University, Kowloon Tung, Hong Kong SAR, P. R. China.
| | - Jianglong Kong
- Department of Chemistry, Hong Kong Baptist University, Kowloon Tung, Hong Kong SAR, P. R. China.
| | - Ting Pan
- National Advanced Medical Engineering Research Center, China State Institute of Pharmaceutical Industry, 285 Gebaini Road, Shanghai 201203, P. R. China.
- Department of Pharmaceutics School of Pharmacy, China Pharmaceutical University, Nanjing 210009, P. R. China
| | - Yani Yang
- National Advanced Medical Engineering Research Center, China State Institute of Pharmaceutical Industry, 285 Gebaini Road, Shanghai 201203, P. R. China.
| | - Jun He
- National Advanced Medical Engineering Research Center, China State Institute of Pharmaceutical Industry, 285 Gebaini Road, Shanghai 201203, P. R. China.
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8
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Geisberg JV, Moqtaderi Z, Struhl K. Chromatin regulates alternative polyadenylation via the RNA polymerase II elongation rate. Proc Natl Acad Sci U S A 2024; 121:e2405827121. [PMID: 38748572 PMCID: PMC11127049 DOI: 10.1073/pnas.2405827121] [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: 03/22/2024] [Accepted: 04/15/2024] [Indexed: 05/22/2024] Open
Abstract
The RNA polymerase II (Pol II) elongation rate influences poly(A) site selection, with slow and fast Pol II derivatives causing upstream and downstream shifts, respectively, in poly(A) site utilization. In yeast, depletion of either of the histone chaperones FACT or Spt6 causes an upstream shift of poly(A) site use that strongly resembles the poly(A) profiles of slow Pol II mutant strains. Like slow Pol II mutant strains, FACT- and Spt6-depleted cells exhibit Pol II processivity defects, indicating that both Spt6 and FACT stimulate the Pol II elongation rate. Poly(A) profiles of some genes show atypical downstream shifts; this subset of genes overlaps well for FACT- or Spt6-depleted strains but is different from the atypical genes in Pol II speed mutant strains. In contrast, depletion of histone H3 or H4 causes a downstream shift of poly(A) sites for most genes, indicating that nucleosomes inhibit the Pol II elongation rate in vivo. Thus, chromatin-based control of the Pol II elongation rate is a potential mechanism, distinct from direct effects on the cleavage/polyadenylation machinery, to regulate alternative polyadenylation in response to genetic or environmental changes.
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Affiliation(s)
- Joseph V. Geisberg
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA02115
| | - Zarmik Moqtaderi
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA02115
| | - Kevin Struhl
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA02115
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9
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Ulicevic J, Shao Z, Jasnovidova O, Bressin A, Gajos M, Ng AH, Annaldasula S, Meierhofer D, Church GM, Busskamp V, Mayer A. Uncovering the dynamics and consequences of RNA isoform changes during neuronal differentiation. Mol Syst Biol 2024:10.1038/s44320-024-00039-4. [PMID: 38755290 DOI: 10.1038/s44320-024-00039-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 05/18/2024] Open
Abstract
Static gene expression programs have been extensively characterized in stem cells and mature human cells. However, the dynamics of RNA isoform changes upon cell-state-transitions during cell differentiation, the determinants and functional consequences have largely remained unclear. Here, we established an improved model for human neurogenesis in vitro that is amenable for systems-wide analyses of gene expression. Our multi-omics analysis reveals that the pronounced alterations in cell morphology correlate strongly with widespread changes in RNA isoform expression. Our approach identifies thousands of new RNA isoforms that are expressed at distinct differentiation stages. RNA isoforms mainly arise from exon skipping and the alternative usage of transcription start and polyadenylation sites during human neurogenesis. The transcript isoform changes can remodel the identity and functions of protein isoforms. Finally, our study identifies a set of RNA binding proteins as a potential determinant of differentiation stage-specific global isoform changes. This work supports the view of regulated isoform changes that underlie state-transitions during neurogenesis.
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Affiliation(s)
- Jelena Ulicevic
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Zhihao Shao
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany
| | - Olga Jasnovidova
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Annkatrin Bressin
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Martyna Gajos
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany
| | - Alex Hm Ng
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, USA
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, USA
| | - Siddharth Annaldasula
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - David Meierhofer
- Mass Spectrometry Facility, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - George M Church
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, USA
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, USA
| | - Volker Busskamp
- Department of Ophthalmology, University Hospital Bonn, Medical Faculty, Bonn, Germany
| | - Andreas Mayer
- Otto-Warburg-Laboratory, Max Planck Institute for Molecular Genetics, Berlin, Germany.
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10
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Fansler MM, Mitschka S, Mayr C. Quantifying 3'UTR length from scRNA-seq data reveals changes independent of gene expression. Nat Commun 2024; 15:4050. [PMID: 38744866 PMCID: PMC11094166 DOI: 10.1038/s41467-024-48254-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 04/22/2024] [Indexed: 05/16/2024] Open
Abstract
Although more than half of all genes generate transcripts that differ in 3'UTR length, current analysis pipelines only quantify the amount but not the length of mRNA transcripts. 3'UTR length is determined by 3' end cleavage sites (CS). We map CS in more than 200 primary human and mouse cell types and increase CS annotations relative to the GENCODE database by 40%. Approximately half of all CS are used in few cell types, revealing that most genes only have one or two major 3' ends. We incorporate the CS annotations into a computational pipeline, called scUTRquant, for rapid, accurate, and simultaneous quantification of gene and 3'UTR isoform expression from single-cell RNA sequencing (scRNA-seq) data. When applying scUTRquant to data from 474 cell types and 2134 perturbations, we discover extensive 3'UTR length changes across cell types that are as widespread and coordinately regulated as gene expression changes but affect mostly different genes. Our data indicate that mRNA abundance and mRNA length are two largely independent axes of gene regulation that together determine the amount and spatial organization of protein synthesis.
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Affiliation(s)
- Mervin M Fansler
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Graduate College, New York, NY, 10021, USA
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Sibylle Mitschka
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Christine Mayr
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Graduate College, New York, NY, 10021, USA.
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
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11
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Cheng X, Jiang G, Zhou X, Wang J, Zhao Z, Zhang J, Ni T. The landscape and clinical relevance of intronic polyadenylation in human cancers. J Genet Genomics 2024:S1673-8527(24)00099-7. [PMID: 38740258 DOI: 10.1016/j.jgg.2024.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/07/2024] [Accepted: 04/25/2024] [Indexed: 05/16/2024]
Abstract
Intronic polyadenylation (IPA) is an RNA 3' end processing event which has been reported to play important roles in cancer development. However, the comprehensive landscape of IPA events across various cancer types is lacking. Here, we apply IPAFinder to identify and quantify IPA events in 10,383 samples covering all 33 cancer types from The Cancer Genome Atlas (TCGA) project. We totally identify 21,835 IPA events, almost half of which are ubiquitously expressed. We identify 2,761 unique dynamically changed IPA events across cancer types. Furthermore, we observe 8,855 non-redundant clinically relevant IPA events, which could potentially be used as prognostic indicators. Our analysis also reveals that dynamic IPA usage within cancer signaling pathways may affect drug response. Finally, we develop a user-friendly data portal, IPACancer Atlas (http://www.tingni-lab.com/Pancan_IPA/), to search and explore IPAs in cancer.
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Affiliation(s)
- Xiaomeng Cheng
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Guanghui Jiang
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xiaolan Zhou
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jing Wang
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Zhaozhao Zhao
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China; MOE Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jiayu Zhang
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, National Clinical Research Center for Aging and Medicine, Huashan Hospital, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, Center for Evolutionary Biology, Shanghai Engineering Research Center of Industrial Microorganisms, School of Life Sciences, Fudan University, Shanghai 200438, China; State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institutes of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, Inner Mongolia 010070, China.
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12
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Ni Z, Ahmed N, Nabeel-Shah S, Guo X, Pu S, Song J, Marcon E, Burke G, Tong AH, Chan K, Ha KH, Blencowe B, Moffat J, Greenblatt J. Identifying human pre-mRNA cleavage and polyadenylation factors by genome-wide CRISPR screens using a dual fluorescence readthrough reporter. Nucleic Acids Res 2024; 52:4483-4501. [PMID: 38587191 PMCID: PMC11077057 DOI: 10.1093/nar/gkae240] [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: 09/23/2023] [Revised: 01/29/2024] [Accepted: 04/02/2024] [Indexed: 04/09/2024] Open
Abstract
Messenger RNA precursors (pre-mRNA) generally undergo 3' end processing by cleavage and polyadenylation (CPA), which is specified by a polyadenylation site (PAS) and adjacent RNA sequences and regulated by a large variety of core and auxiliary CPA factors. To date, most of the human CPA factors have been discovered through biochemical and proteomic studies. However, genetic identification of the human CPA factors has been hampered by the lack of a reliable genome-wide screening method. We describe here a dual fluorescence readthrough reporter system with a PAS inserted between two fluorescent reporters. This system enables measurement of the efficiency of 3' end processing in living cells. Using this system in combination with a human genome-wide CRISPR/Cas9 library, we conducted a screen for CPA factors. The screens identified most components of the known core CPA complexes and other known CPA factors. The screens also identified CCNK/CDK12 as a potential core CPA factor, and RPRD1B as a CPA factor that binds RNA and regulates the release of RNA polymerase II at the 3' ends of genes. Thus, this dual fluorescence reporter coupled with CRISPR/Cas9 screens reliably identifies bona fide CPA factors and provides a platform for investigating the requirements for CPA in various contexts.
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Affiliation(s)
- Zuyao Ni
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Nujhat Ahmed
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Syed Nabeel-Shah
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Xinghua Guo
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Shuye Pu
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Jingwen Song
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Edyta Marcon
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
| | - Giovanni L Burke
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Amy Hin Yan Tong
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
| | - Katherine Chan
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
| | - Kevin C H Ha
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Benjamin J Blencowe
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
| | - Jason Moffat
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
- Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON Canada
| | - Jack F Greenblatt
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, ON M5S 3E1, Canada
- Department of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, ON M5A 1A8, Canada
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13
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Rambout X, Maquat LE. Nuclear mRNA decay: regulatory networks that control gene expression. Nat Rev Genet 2024:10.1038/s41576-024-00712-2. [PMID: 38637632 DOI: 10.1038/s41576-024-00712-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/19/2024] [Indexed: 04/20/2024]
Abstract
Proper regulation of mRNA production in the nucleus is critical for the maintenance of cellular homoeostasis during adaptation to internal and environmental cues. Over the past 25 years, it has become clear that the nuclear machineries governing gene transcription, pre-mRNA processing, pre-mRNA and mRNA decay, and mRNA export to the cytoplasm are inextricably linked to control the quality and quantity of mRNAs available for translation. More recently, an ever-expanding diversity of new mechanisms by which nuclear RNA decay factors finely tune the expression of protein-encoding genes have been uncovered. Here, we review the current understanding of how mammalian cells shape their protein-encoding potential by regulating the decay of pre-mRNAs and mRNAs in the nucleus.
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Affiliation(s)
- Xavier Rambout
- Department of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
- Center for RNA Biology, University of Rochester, Rochester, NY, USA.
| | - Lynne E Maquat
- Department of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, NY, USA.
- Center for RNA Biology, University of Rochester, Rochester, NY, USA.
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14
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Pagani G, Gandellini P. Cleavage and polyadenylation machinery as a novel targetable vulnerability for human cancer. Cancer Gene Ther 2024:10.1038/s41417-024-00770-y. [PMID: 38632357 DOI: 10.1038/s41417-024-00770-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/19/2024]
Abstract
The role of alternative polyadenylation of mRNA in sustaining aggressive features of tumors is quite well established, as it is responsible for the 3'UTR shortening of oncogenes and subsequent relief from miRNA-mediated repression observed in cancer cells. However, the information regarding the vulnerability of cancer cells to the inhibition of cleavage and polyadenylation (CPA) machinery is very scattered. Only few recent reports show the antitumor activity of pharmacological inhibitors of CPSF3, one among CPA factors. More in general, the fact that deregulated CPA can be seen as a new hallmark of cancer and as a potential reservoir of novel therapeutic targets has never been formalized. Here, to extend our view on the potential of CPA inhibition (CPAi) approaches as anticancer therapies, we systematically tested the fitness of about one thousand cell lines of different cancer types upon depletion of all known CPA factors by interrogating genome-scale CRISPR and RNAi dependency maps of the DepMap project. Our analysis confirmed core and accessory CPA factors as novel vulnerabilities for human cancer, thus highlighting the potential of CPAi as anticancer therapy. Among all, CPSF1 appeared as a promising actionable candidate for drug development, as it showed low dependency scores pancancer and particularly in highly proliferating cells. In a personalized medicine perspective, the observed differential vulnerability of cancer cell lines to selected CPA factors may be used to build up signatures to predict response of individual human tumors to CPAi approaches.
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Affiliation(s)
- Giulia Pagani
- Department of Biosciences, University of Milan, Via Celoria 26, 20133, Milan, Italy
| | - Paolo Gandellini
- Department of Biosciences, University of Milan, Via Celoria 26, 20133, Milan, Italy.
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15
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Shademan M, Mei H, van Engelen B, Ariyurek Y, Kloet S, Raz V. PABPN1 loss-of-function causes APA-shift in oculopharyngeal muscular dystrophy. HGG ADVANCES 2024; 5:100269. [PMID: 38213032 PMCID: PMC10840355 DOI: 10.1016/j.xhgg.2024.100269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 01/05/2024] [Accepted: 01/05/2024] [Indexed: 01/13/2024] Open
Abstract
Alternative polyadenylation (APA) at the 3' UTR of transcripts contributes to the cell transcriptome. APA is suppressed by the nuclear RNA-binding protein PABPN1. Aging-associated reduced PABPN1 levels in skeletal muscles lead to muscle wasting. Muscle weakness in oculopharyngeal muscular dystrophy (OPMD) is caused by short alanine expansion in PABPN1 exon1. The expanded PABPN1 forms nuclear aggregates, an OPMD hallmark. Whether the expanded PABPN1 affects APA and how it contributes to muscle pathology is unresolved. To investigate these questions, we developed a procedure including RNA library preparation and a simple pipeline calculating the APA-shift ratio as a readout for PABPN1 activity. Comparing APA-shift results to previously published PAS utilization and APA-shift results, we validated this procedure. The procedure was then applied on the OPMD cell model and on RNA from OPMD muscles. APA-shift was genome-wide in the mouse OPMD model, primarily affecting muscle transcripts. In OPMD individuals, APA-shift was enriched with muscle transcripts. In an OPMD cell model APA-shift was not significant. APA-shift correlated with reduced expression levels of a subset of PABPN1 isoforms, whereas the expression of the expanded PABPN1 did not correlate with APA-shift. PABPN1 activity is not affected by the expression of expanded PABPN1, but rather by reduced PABPN1 expression levels. In muscles, PABPN1 activity initially affects muscle transcripts. We suggest that muscle weakness in OPMD is caused by PABPN1 loss-of-function leading to APA-shift that primarily affects in muscle transcripts.
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Affiliation(s)
- Milad Shademan
- Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Hailiang Mei
- Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, the Netherlands
| | - Baziel van Engelen
- Department of Neurology, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Yavuz Ariyurek
- Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Susan Kloet
- Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands
| | - Vered Raz
- Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands.
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16
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de Reus AJEM, Basak O, Dykstra W, van Asperen JV, van Bodegraven EJ, Hol EM. GFAP-isoforms in the nervous system: Understanding the need for diversity. Curr Opin Cell Biol 2024; 87:102340. [PMID: 38401182 DOI: 10.1016/j.ceb.2024.102340] [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: 11/22/2023] [Accepted: 01/30/2024] [Indexed: 02/26/2024]
Abstract
Glial fibrillary acidic protein (GFAP) is an intermediate filament (IF) protein expressed in specific types of glial cells in the nervous system. The expression of GFAP is highly regulated during brain development and in neurological diseases. The presence of distinct GFAP-isoforms in various cell types, developmental stages, and diseases indicates that GFAP (post-)transcriptional regulation has a role in glial cell physiology and pathology. GFAP-isoforms differ in sub-cellular localisation, IF-network assembly properties, and IF-dynamics which results in distinct molecular interactions and mechanical properties of the IF-network. Therefore, GFAP (post-)transcriptional regulation is likely a mechanism by which radial glia, astrocytes, and glioma cells can modulate cellular function.
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Affiliation(s)
- Alexandra J E M de Reus
- Department of Translational Neuroscience, Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Onur Basak
- Department of Translational Neuroscience, Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Werner Dykstra
- Department of Translational Neuroscience, Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Jessy V van Asperen
- Institut NeuroMyoGène (INMG), Unité Physiopathologie et Génétique du Neurone et du Muscle, Unversité Claude Bernard Lyon 1 CNRS UMR 5261, INSERM U1315, Lyon, France
| | - Emma J van Bodegraven
- Department of Translational Neuroscience, Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Elly M Hol
- Department of Translational Neuroscience, Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
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17
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Aloui C, Neumann L, Bergametti F, Sartori E, Herbreteau M, Maillard A, Coste T, Morel H, Hervé D, Chabriat H, Timsit S, Viakhireva I, Denoyer Y, Allibert R, Demurger F, Gollion C, Vermersch P, Marchelli F, Blugeon C, Lemoine S, Tourtier-Bellosta C, Brouazin A, Leutenegger AL, Pipiras E, Tournier-Lasserve E. An AluYa5 Insertion in the 3'UTR of COL4A1 and Cerebral Small Vessel Disease. JAMA Netw Open 2024; 7:e247034. [PMID: 38630472 PMCID: PMC11024774 DOI: 10.1001/jamanetworkopen.2024.7034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 04/19/2024] Open
Abstract
Importance Cerebral small vessel diseases (CSVDs) account for one-fifth of stroke cases. Numerous familial cases remain unresolved after routine screening of known CSVD genes. Objective To identify novel genes and mechanisms associated with familial CSVD. Design, Setting, and Participants This 2-stage study involved linkage analysis and a case-control study; linkage analysis and whole exome and genome sequencing were used to identify candidate gene variants in 2 large families with CSVD (9 patients with CSVD). Then, a case-control analysis was conducted on 246 unrelated probands, including probands from these 2 families and 244 additional probands. All probands (clinical onset Main Outcomes and Measures A pathogenic AluYa5 insertion was identified within the COL4A1 3'UTR in the 2 large families with CSVD. Reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR), Western blot, and long-read RNA sequencing were used to investigate outcomes associated with the insertion using patient fibroblasts. Clinical and magnetic resonance imaging features of probands with variants and available relatives were assessed. Results Among 246 probands (141 females [57.3%]; median [IQR] age at referral, 56 [49-64] years), 7 patients of French ancestry carried the insertion. This insertion was absent in 467 healthy French individuals in a control group (odds ratio, ∞; 95% CI, 2.78 to ∞; P = 5 × 10-4) and 10 847 individuals from the gnomAD structural variant database (odds ratio, ∞; 95% CI, 64.77 to ∞; P = 2.42 × 10-12). In these 7 patients' families, 19 family members with CSVD carried the insertion. RT-qPCR and Western blot showed an upregulation of COL4A1 mRNA (10.6-fold increase; 95% CI, 1.4-fold to 17.1-fold increase) and protein levels (2.8-fold increase; 95% CI, 2.1-fold to 3.5-fold increase) in patient vs control group fibroblasts. Long-read RNA sequencing data showed that the insertion was associated with perturbation in the use of canonical COL4A1 polyadenylation signals (approximately 87% of isoforms transcribed from the wild type allele vs 5% of isoforms transcribed from the allele with the insertion used the 2 distal canonical polyadenylation signals). The main clinical feature of individuals with CSVD was the recurrence of pontine ischemic lesions starting at an early age (17 of 19 patients [89.5%]). Conclusions and relevance This study found a novel mechanism associated with COL4A1 upregulation and a highly penetrant adult-onset CSVD. These findings suggest that quantitative alterations of the cerebrovascular matrisome are associated with CSVD pathogenesis, with diagnostic and therapeutic implications.
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Affiliation(s)
- Chaker Aloui
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
| | - Lisa Neumann
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
| | - Françoise Bergametti
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
| | - Eric Sartori
- Service de Neurologie, Centre Hospitalier Bretagne Sud, Lorient, France
| | - Marc Herbreteau
- Service de Neurologie, Centre Hospitalier Bretagne Sud, Lorient, France
| | - Arnaud Maillard
- Assistance Publique-Hôpitaux de Paris, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, Paris, France
| | - Thibault Coste
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
- Assistance Publique-Hôpitaux de Paris, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, Paris, France
| | - Hélène Morel
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
- Assistance Publique-Hôpitaux de Paris, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, Paris, France
| | - Dominique Hervé
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
- Assistance Publique-Hôpitaux de Paris, Service de Neurologie, Hôpital Lariboisière, Paris, France
| | - Hugues Chabriat
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
- Assistance Publique-Hôpitaux de Paris, Service de Neurologie, Hôpital Lariboisière, Paris, France
| | - Serge Timsit
- Service de Neurologie Vasculaire, Centre Hospitalier Régional Universitaire de Brest, Brest, France
| | - Irina Viakhireva
- Service de Neurologie Vasculaire, Centre Hospitalier Régional Universitaire de Brest, Brest, France
| | - Yves Denoyer
- Service de Neurologie, Centre Hospitalier Bretagne Sud, Lorient, France
- Université de Rennes, Laboratoire Traitement du Signal et de l'Image, Institut National de la Santé Et de la Recherche Médicale Unité Mixte de Recherche 1099, Rennes, France
| | - Rémi Allibert
- Service de Neurologie, Unité Neurovasculaire, Centre Hospitalier Universitaire de Saint Etienne, Saint Etienne, France
| | - Florence Demurger
- Service de Neurologie, Unité Neurovasculaire, Centre Hospitalier Bretagne Atlantique, Vannes, France
| | - Cedric Gollion
- Service de Neurologie, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Patrick Vermersch
- Univ. Lille, Institut National de la Santé Et de la Recherche Médicale Unité Mixte de Recherche 1172 LilNCog, Centre Hospitalier Universitaire Lille, Fédérations Hospitalo-Universitaire Precise, Lille, France
| | - Florence Marchelli
- Assistance Publique-Hôpitaux de Paris, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, Paris, France
| | - Corinne Blugeon
- GenomiqueENS, Institut de Biologie de l’Ecole Normale Supérieur, Département de biologie, École Normale Supérieure, Centre National de la Recherche Scientifique, Institut National de la Santé Et de la Recherche Médicale, Université Paris Sciences et Lettres, Paris, France
| | - Sophie Lemoine
- GenomiqueENS, Institut de Biologie de l’Ecole Normale Supérieur, Département de biologie, École Normale Supérieure, Centre National de la Recherche Scientifique, Institut National de la Santé Et de la Recherche Médicale, Université Paris Sciences et Lettres, Paris, France
| | | | - Alexis Brouazin
- Service de neurologie, Centre Hospitalier de Cornouaille, Quimper, France
| | - Anne-Louise Leutenegger
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
| | - Eva Pipiras
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
- Assistance Publique-Hôpitaux de Paris, Hôpitaux Jean Verdier et Armand Trousseau, Université Sorbonne Paris Nord, Bobigny, France
| | - Elisabeth Tournier-Lasserve
- NeuroDiderot, Université Paris Cité, Institut National de la Santé Et de la Recherche Médicale, Unité Mixte de Recherche 1141, Paris, France
- Assistance Publique-Hôpitaux de Paris, Service de Génétique Moléculaire Neurovasculaire, Hôpital Saint-Louis, Paris, France
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18
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Xudong X, Heng L, Benchao C, Wenjie C, Bao L, Gaofeng L. Integrated RNA expression and alternative polyadenylation analysis identified CPSF1-CCDC137 oncogenic axis in lung adenocarcinoma. ENVIRONMENTAL TOXICOLOGY 2024; 39:2405-2416. [PMID: 38174951 DOI: 10.1002/tox.24105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/06/2023] [Accepted: 12/10/2023] [Indexed: 01/05/2024]
Abstract
This study aims to analyze the RNA expression and alternative polyadenylation (APA) events and identify APA tuned genes with prognostic significance in lung adenocarcinoma (LUAD). Genome-wide RNA expression profile and APA events were acquired in LUAD cancer and normal samples in GSE197346. Comparative analysis screened common deregulated genes and transcripts. All 11 and 19 transcripts were up and down expressed and polyadenylated in cancer samples, respectively. Clinical analysis found eight genes with prognostic significance, such as coiled-coil domain containing 137 (CCDC137). Role of CCDC137 in LUAD was first reported in this study. The cellular and animal experiments indicated that downregulated CCDC137 suppressed the malignant tumor phenotype and tumor growth in LUAD. Then, to identify APA regulators for elevated CCDC137, we analyzed the expression of 26 APA regulators in GSE197346 and The Cancer Genome Atlas (TCGA), and found 4 differential regulators: CPSF1, CELF2, NUDT21, and ELAVL1. At last, the correlation of eight genes with four differential APA regulators was analyzed, and CPSF1 showed a strong positive correlation with CCDC137. Based on the above results, we propose an oncogenic axis of CPSF1-CCDC137 in LUAD. This study first constructed a polyadenylation tuned RNA expression map in LUAD, and the proposed oncogenic axis of CPSF1-CCDC137 would shed light on the pathogenesis of LUAD.
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Affiliation(s)
- Xiang Xudong
- No.2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Li Heng
- No.2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Chen Benchao
- No.2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Chen Wenjie
- No.2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Lei Bao
- No.2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Li Gaofeng
- No.2 Department of Thoracic Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
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19
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Shang X, Talross GJS, Carlson JR. Exitron splicing of odor receptor genes in Drosophila. Proc Natl Acad Sci U S A 2024; 121:e2320277121. [PMID: 38507450 PMCID: PMC10990081 DOI: 10.1073/pnas.2320277121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/06/2024] [Indexed: 03/22/2024] Open
Abstract
Proper expression of odor receptor genes is critical for the function of olfactory systems. In this study, we identified exitrons (exonic introns) in four of the 39 Odorant receptor (Or) genes expressed in the Drosophila antenna. Exitrons are sequences that can be spliced out from within a protein-coding exon, thereby altering the encoded protein. We focused on Or88a, which encodes a pheromone receptor, and found that exitron splicing of Or88a is conserved across five Drosophila species over 20 My of evolution. The exitron was spliced out in 15% of Or88a transcripts. Removal of this exitron creates a non-coding RNA rather than an RNA that encodes a stable protein. Our results suggest the hypothesis that in the case of Or88a, exitron splicing could act in neuronal modulation by decreasing the level of functional Or transcripts. Activation of Or88a-expressing olfactory receptor neurons via either optogenetics or pheromone stimulation increased the level of exitron-spliced transcripts, with optogenetic activation leading to a 14-fold increase. A fifth Or can also undergo an alternative splicing event that eliminates most of the canonical open reading frame. Besides these cases of alternative splicing, we found alternative polyadenylation of four Ors, and exposure of Or67c to its ligand ethyl lactate in the antenna downregulated all of its 3' isoforms. Our study reveals mechanisms by which neuronal activity could be modulated via regulation of the levels of Or isoforms.
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Affiliation(s)
- Xueying Shang
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT06511
| | - Gaëlle J. S. Talross
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT06511
| | - John R. Carlson
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT06511
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20
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Liu L, Manley JL. Non-canonical isoforms of the mRNA polyadenylation factor WDR33 regulate STING-mediated immune responses. Cell Rep 2024; 43:113886. [PMID: 38430516 PMCID: PMC11019558 DOI: 10.1016/j.celrep.2024.113886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 01/31/2024] [Accepted: 02/14/2024] [Indexed: 03/04/2024] Open
Abstract
The human WDR33 gene encodes three major isoforms. The canonical isoform WDR33v1 (V1) is a well-characterized nuclear mRNA polyadenylation factor, while the other two, WDR33v2 (V2) and WDR33v3 (V3), have not been studied. Here, we report that V2 and V3 are generated by alternative polyadenylation, and neither protein contains all seven WD (tryptophan-aspartic acid) repeats that characterize V1. Surprisingly, V2 and V3 are not polyadenylation factors but localize to the endoplasmic reticulum and interact with stimulator of interferon genes (STING), the immune factor that induces the cellular response to cytosolic double-stranded DNA. V2 suppresses interferon-β induction by preventing STING disulfide oligomerization but promotes autophagy, likely by recruiting WIPI2 isoforms. V3, on the other hand, functions to increase STING protein levels. Our study has not only provided mechanistic insights into STING regulation but also revealed that protein isoforms can be functionally completely unrelated, indicating that alternative mRNA processing is a more powerful mechanism than previously appreciated.
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Affiliation(s)
- Lizhi Liu
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - James L Manley
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
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Liu X, Chen H, Li Z, Yang X, Jin W, Wang Y, Zheng J, Li L, Xuan C, Yuan J, Yang Y. InPACT: a computational method for accurate characterization of intronic polyadenylation from RNA sequencing data. Nat Commun 2024; 15:2583. [PMID: 38519498 PMCID: PMC10960005 DOI: 10.1038/s41467-024-46875-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 03/12/2024] [Indexed: 03/25/2024] Open
Abstract
Alternative polyadenylation can occur in introns, termed intronic polyadenylation (IPA), has been implicated in diverse biological processes and diseases, as it can produce noncoding transcripts or transcripts with truncated coding regions. However, a reliable method is required to accurately characterize IPA. Here, we propose a computational method called InPACT, which allows for the precise characterization of IPA from conventional RNA-seq data. InPACT successfully identifies numerous previously unannotated IPA transcripts in human cells, many of which are translated, as evidenced by ribosome profiling data. We have demonstrated that InPACT outperforms other methods in terms of IPA identification and quantification. Moreover, InPACT applied to monocyte activation reveals temporally coordinated IPA events. Further application on single-cell RNA-seq data of human fetal bone marrow reveals the expression of several IPA isoforms in a context-specific manner. Therefore, InPACT represents a powerful tool for the accurate characterization of IPA from RNA-seq data.
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Affiliation(s)
- Xiaochuan Liu
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Hao Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Zekun Li
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Xiaoxiao Yang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Wen Jin
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Yuting Wang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Jian Zheng
- Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Long Li
- Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Chenghao Xuan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
| | - Jiapei Yuan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Yang Yang
- The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammatory Biology, The Second Hospital of Tianjin Medical University, Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
- Department of Pharmacology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
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22
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Nagai M, Porter RS, Hughes E, Saunders TL, Iwase S. Asynchronous microexon splicing of LSD1 and PHF21A during neurodevelopment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.21.586181. [PMID: 38562691 PMCID: PMC10983945 DOI: 10.1101/2024.03.21.586181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
LSD1 histone H3K4 demethylase and its binding partner PHF21A, a reader protein for unmethylated H3K4, both undergo neuron-specific microexon splicing. The LSD1 neuronal microexon weakens H3K4 demethylation activity and can alter the substrate specificity to H3K9 or H4K20. Meanwhile, the PHF21A neuronal microexon interferes with nucleosome binding. However, the temporal expression patterns of LSD1 and PHF21A splicing isoforms during brain development remain unknown. In this work, we report that neuronal PHF21A isoform expression precedes neuronal LSD1 isoform expression during human neuron differentiation and mouse brain development. The asynchronous splicing events resulted in stepwise deactivation of the LSD1-PHF21A complex in reversing H3K4 methylation. We further show that the enzymatically inactive LSD1-PHF21A complex interacts with neuron-specific binding partners, including MYT1-family transcription factors and post-transcriptional mRNA processing proteins such as VIRMA. The interaction with the neuron-specific components, however, did not require the PHF21A microexon, indicating that the neuronal proteomic milieu, rather than the microexon-encoded PHF21A segment, is responsible for neuron-specific complex formation. These results indicate that the PHF21A microexon is dispensable for neuron-specific protein-protein interactions, yet the enzymatically inactive LSD1-PHF21A complex might have unique gene-regulatory roles in neurons.
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Affiliation(s)
- Masayoshi Nagai
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Robert S. Porter
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Elizabeth Hughes
- Transgenic Animal Model Core, University of Michigan, Ann Arbor, MI 48109, USA
| | - Thomas L. Saunders
- Transgenic Animal Model Core, University of Michigan, Ann Arbor, MI 48109, USA
| | - Shigeki Iwase
- Department of Human Genetics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Michigan Neuroscience Institute, University of Michigan, Ann Arbor, MI 48109, USA
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23
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Seyres D, Gorka O, Schmidt R, Marone R, Zavolan M, Jeker LT. T helper cells exhibit a dynamic and reversible 3'-UTR landscape. RNA (NEW YORK, N.Y.) 2024; 30:418-434. [PMID: 38302256 PMCID: PMC10946431 DOI: 10.1261/rna.079897.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 01/16/2024] [Indexed: 02/03/2024]
Abstract
3' untranslated regions (3' UTRs) are critical elements of messenger RNAs, as they contain binding sites for RNA-binding proteins (RBPs) and microRNAs that affect various aspects of the RNA life cycle including transcript stability and cellular localization. In response to T cell receptor activation, T cells undergo massive expansion during the effector phase of the immune response and dynamically modify their 3' UTRs. Whether this serves to directly regulate the abundance of specific mRNAs or is a secondary effect of proliferation remains unclear. To study 3'-UTR dynamics in T helper cells, we investigated division-dependent alternative polyadenylation (APA). In addition, we generated 3' end UTR sequencing data from naive, activated, memory, and regulatory CD4+ T cells. 3'-UTR length changes were estimated using a nonnegative matrix factorization approach and were compared with those inferred from long-read PacBio sequencing. We found that APA events were transient and reverted after effector phase expansion. Using an orthogonal bulk RNA-seq data set, we did not find evidence of APA association with differential gene expression or transcript usage, indicating that APA has only a marginal effect on transcript abundance. 3'-UTR sequence analysis revealed conserved binding sites for T cell-relevant microRNAs and RBPs in the alternative 3' UTRs. These results indicate that poly(A) site usage could play an important role in the control of cell fate decisions and homeostasis.
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Affiliation(s)
- Denis Seyres
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
| | - Oliver Gorka
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
| | - Ralf Schmidt
- Computational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Romina Marone
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
| | - Mihaela Zavolan
- Computational and Systems Biology, Biozentrum, University of Basel, 4056 Basel, Switzerland
- Swiss Institute of Bioinformatics, Biozentrum, University of Basel, 4056 Basel, Switzerland
| | - Lukas T Jeker
- Department of Biomedicine, Basel University Hospital and University of Basel, CH-4031 Basel, Switzerland
- Transplantation Immunology and Nephrology, Basel University Hospital, CH-4031 Basel, Switzerland
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24
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Verma SK, Kuyumcu-Martinez MN. RNA binding proteins in cardiovascular development and disease. Curr Top Dev Biol 2024; 156:51-119. [PMID: 38556427 DOI: 10.1016/bs.ctdb.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
Congenital heart disease (CHD) is the most common birth defect affecting>1.35 million newborn babies worldwide. CHD can lead to prenatal, neonatal, postnatal lethality or life-long cardiac complications. RNA binding protein (RBP) mutations or variants are emerging as contributors to CHDs. RBPs are wizards of gene regulation and are major contributors to mRNA and protein landscape. However, not much is known about RBPs in the developing heart and their contributions to CHD. In this chapter, we will discuss our current knowledge about specific RBPs implicated in CHDs. We are in an exciting era to study RBPs using the currently available and highly successful RNA-based therapies and methodologies. Understanding how RBPs shape the developing heart will unveil their contributions to CHD. Identifying their target RNAs in the embryonic heart will ultimately lead to RNA-based treatments for congenital heart disease.
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Affiliation(s)
- Sunil K Verma
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine Charlottesville, VA, United States.
| | - Muge N Kuyumcu-Martinez
- Department of Molecular Physiology and Biological Physics, University of Virginia School of Medicine Charlottesville, VA, United States; Robert M. Berne Cardiovascular Research Center, University of Virginia School of Medicine, Charlottesville, VA, United States; University of Virginia Cancer Center, Charlottesville, VA, United States.
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25
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Li Y, Gong J, Sun Q, Vong EG, Cheng X, Wang B, Yuan Y, Jin L, Gamazon ER, Zhou D, Lai M, Zhang D. Alternative polyadenylation quantitative trait methylation mapping in human cancers provides clues into the molecular mechanisms of APA. Am J Hum Genet 2024; 111:562-583. [PMID: 38367620 PMCID: PMC10940021 DOI: 10.1016/j.ajhg.2024.01.010] [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: 09/12/2023] [Revised: 01/19/2024] [Accepted: 01/22/2024] [Indexed: 02/19/2024] Open
Abstract
Genetic variants are involved in the orchestration of alternative polyadenylation (APA) events, while the role of DNA methylation in regulating APA remains unclear. We generated a comprehensive atlas of APA quantitative trait methylation sites (apaQTMs) across 21 different types of cancer (1,612 to 60,219 acting in cis and 4,448 to 142,349 in trans). Potential causal apaQTMs in non-cancer samples were also identified. Mechanistically, we observed a strong enrichment of cis-apaQTMs near polyadenylation sites (PASs) and both cis- and trans-apaQTMs in proximity to transcription factor (TF) binding regions. Through the integration of ChIP-signals and RNA-seq data from cell lines, we have identified several regulators of APA events, acting either directly or indirectly, implicating novel functions of some important genes, such as TCF7L2, which is known for its involvement in type 2 diabetes and cancers. Furthermore, we have identified a vast number of QTMs that share the same putative causal CpG sites with five different cancer types, underscoring the roles of QTMs, including apaQTMs, in the process of tumorigenesis. DNA methylation is extensively involved in the regulation of APA events in human cancers. In an attempt to elucidate the potential underlying molecular mechanisms of APA by DNA methylation, our study paves the way for subsequent experimental validations into the intricate biological functions of DNA methylation in APA regulation and the pathogenesis of human cancers. To present a comprehensive catalog of apaQTM patterns, we introduce the Pancan-apaQTM database, available at https://pancan-apaqtm-zju.shinyapps.io/pancanaQTM/.
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Affiliation(s)
- Yige Li
- Department of Pathology, and Department of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; Department of Pathology, Key Laboratory of Disease Proteomics of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China; Department of Pathology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Jingwen Gong
- Department of Pathology, and Department of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; Department of Pathology, Key Laboratory of Disease Proteomics of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, Zhejiang Province, China
| | - Qingrong Sun
- Department of Pathology, Key Laboratory of Disease Proteomics of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, Zhejiang Province, China; Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou, Zhejiang Province, China; College of Information Science and Technology, ZheJiang Shuren University, Hangzhou 310015, ZheJiang, China
| | - Eu Gene Vong
- Department of Pathology, Key Laboratory of Disease Proteomics of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China; Department of Biochemistry and Genetics, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Xiaoqing Cheng
- Department of Pathology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Binghong Wang
- Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
| | - Ying Yuan
- Department of Medical Oncology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, Chinese National Ministry of Education), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China; Research Unit of Dissecting the Population Genetics and Developing New Technologies for Treatment and Prevention of Skin Phenotypes and Dermatological Diseases (2019RU058), Chinese Academy of Medical Sciences, Shanghai, China
| | - Eric R Gamazon
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Data Science Institute, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Dan Zhou
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA; School of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Maode Lai
- Department of Pathology, Key Laboratory of Disease Proteomics of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, Zhejiang Province, China; Department of Pathology, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Key Laboratory of Disease Proteomics of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
| | - Dandan Zhang
- Department of Pathology, and Department of Medical Oncology of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; Department of Pathology, Key Laboratory of Disease Proteomics of Zhejiang Province, School of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, Zhejiang Province, China; Department of Pathology, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy, Chinese Academy of Medical Sciences (2019RU042), Key Laboratory of Disease Proteomics of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
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26
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Hong H, Dill-McFarland KA, Simmons JD, Peterson GJ, Benchek P, Mayanja-Kizza H, Boom WH, Stein CM, Hawn TR. Mycobacterium tuberculosis-dependent monocyte expression quantitative trait loci, cytokine production, and TB pathogenesis. Front Immunol 2024; 15:1359178. [PMID: 38515745 PMCID: PMC10954790 DOI: 10.3389/fimmu.2024.1359178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/05/2024] [Indexed: 03/23/2024] Open
Abstract
Introduction The heterogeneity of outcomes after Mycobacterium tuberculosis (Mtb) exposure is a conundrum associated with millennia of host-pathogen co-evolution. We hypothesized that human myeloid cells contain genetically encoded, Mtb-specific responses that regulate critical steps in tuberculosis (TB) pathogenesis. Methods We mapped genome-wide expression quantitative trait loci (eQTLs) in Mtb-infected monocytes with RNAseq from 80 Ugandan household contacts of pulmonary TB cases to identify monocyte-specific, Mtb-dependent eQTLs and their association with cytokine expression and clinical resistance to tuberculin skin test (TST) and interferon-γ release assay (IGRA) conversion. Results cis-eQTLs (n=1,567) were identified in Mtb-infected monocytes (FDR<0.01), including 29 eQTLs in 16 genes which were Mtb-dependent (significant for Mtb:genotype interaction [FDR<0.1], but not classified as eQTL in uninfected condition [FDR≥0.01]). A subset of eQTLs were associated with Mtb-induced cytokine expression (n=8) and/or clinical resistance to TST/IGRA conversion (n=1). Expression of BMP6, an Mtb-dependent eQTL gene, was associated with IFNB1 induction in Mtb-infected and DNA ligand-induced cells. Network and enrichment analyses identified fatty acid metabolism as a pathway associated with eQTL genes. Discussion These findings suggest that monocyte genes contain Mtb-dependent eQTLs, including a subset associated with cytokine expression and/or clinical resistance to TST/IGRA conversion, providing insight into immunogenetic pathways regulating susceptibility to Mtb infection and TB pathogenesis.
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Affiliation(s)
- Hyejeong Hong
- Department of Biobehavioral Health Sciences, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States
| | | | - Jason D. Simmons
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Glenna J. Peterson
- Department of Medicine, University of Washington, Seattle, WA, United States
| | - Penelope Benchek
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States
| | | | - W. Henry Boom
- Department of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Catherine M. Stein
- Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States
- Department of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Thomas R. Hawn
- Department of Medicine, University of Washington, Seattle, WA, United States
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27
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Bi X, Ye W, Cheng X, Yang N, Wu X. vizAPA: visualizing dynamics of alternative polyadenylation from bulk and single-cell data. Bioinformatics 2024; 40:btae099. [PMID: 38485700 PMCID: PMC10950478 DOI: 10.1093/bioinformatics/btae099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 01/11/2024] [Indexed: 03/21/2024] Open
Abstract
MOTIVATION Alternative polyadenylation (APA) is a widespread post-transcriptional regulatory mechanism across all eukaryotes. With the accumulation of genome-wide APA sites, especially those with single-cell resolution, it is imperative to develop easy-to-use visualization tools to guide APA analysis. RESULTS We developed an R package called vizAPA for visualizing APA dynamics from bulk and single-cell data. vizAPA implements unified data structures for APA data and genome annotations. vizAPA also enables identification of genes with differential APA usage across biological samples and/or cell types. vizAPA provides four unique modules for extensively visualizing APA dynamics across biological samples and at the single-cell level. vizAPA could serve as a plugin in many routine APA analysis pipelines to augment studies for APA dynamics. AVAILABILITY AND IMPLEMENTATION https://github.com/BMILAB/vizAPA.
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Affiliation(s)
- Xingyu Bi
- Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China
| | - Wenbin Ye
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA 92697, United States
| | - Xin Cheng
- Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China
| | - Ning Yang
- College of Industrial Design, Pukyong National University, Busan 48513, Korea
| | - Xiaohui Wu
- Pasteurien College, Suzhou Medical College of Soochow University, Soochow University, Suzhou 215000, China
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Le Boulch M, Jacquet E, Nhiri N, Shmulevitz M, Jaïs PH. Rational design of an artificial tethered enzyme for non-templated post-transcriptional mRNA polyadenylation by the second generation of the C3P3 system. Sci Rep 2024; 14:5156. [PMID: 38431749 PMCID: PMC10908868 DOI: 10.1038/s41598-024-55947-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 02/29/2024] [Indexed: 03/05/2024] Open
Abstract
We have previously introduced the first generation of C3P3, an artificial system that allows the autonomous in-vivo production of mRNA with m7GpppN-cap. While C3P3-G1 synthesized much larger amounts of capped mRNA in human cells than conventional nuclear expression systems, it produced a proportionately much smaller amount of the corresponding proteins, indicating a clear defect of mRNA translatability. A possible mechanism for this poor translatability could be the rudimentary polyadenylation of the mRNA produced by the C3P3-G1 system. We therefore sought to develop the C3P3-G2 system using an artificial enzyme to post-transcriptionally lengthen the poly(A) tail. This system is based on the mutant mouse poly(A) polymerase alpha fused at its N terminus with an N peptide from the λ virus, which binds to BoxBr sequences placed in the 3'UTR region of the mRNA of interest. The resulting system selectively brings mPAPαm7 to the target mRNA to elongate its poly(A)-tail to a length of few hundred adenosine. Such elongation of the poly(A) tail leads to an increase in protein expression levels of about 2.5-3 times in cultured human cells compared to the C3P3-G1 system. Finally, the coding sequence of the tethered mutant poly(A) polymerase can be efficiently fused to that of the C3P3-G1 enzyme via an F2A sequence, thus constituting the single-ORF C3P3-G2 enzyme. These technical developments constitute an important milestone in improving the performance of the C3P3 system, paving the way for its applications in bioproduction and non-viral human gene therapy.
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Affiliation(s)
- Marine Le Boulch
- Eukarÿs SAS, Pépinière Genopole, 4 rue Pierre Fontaine, Genopole Entreprises Campus 3, 4 Rue Pierre Fontaine, 91000, Evry-Courcouronnes, France
| | - Eric Jacquet
- Institut de Chimie des Substances Naturelles, CNRS UPR2301, Université Paris-Saclay, Avenue de la Terrasse, 91198, Gif-Sur-Yvette, France
| | - Naïma Nhiri
- Institut de Chimie des Substances Naturelles, CNRS UPR2301, Université Paris-Saclay, Avenue de la Terrasse, 91198, Gif-Sur-Yvette, France
| | - Maya Shmulevitz
- Medical Microbiology and Immunology, Li Ka Shing Institute of Virology, University of Alberta, 6-142J Katz Group Centre for Pharmacy and Health Research, 114 Street NW, Edmonton, AB, T6G 2E1, Canada
| | - Philippe H Jaïs
- Eukarÿs SAS, Pépinière Genopole, 4 rue Pierre Fontaine, Genopole Entreprises Campus 3, 4 Rue Pierre Fontaine, 91000, Evry-Courcouronnes, France.
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29
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Mofayezi A, Jadaliha M, Zangeneh FZ, Khoddami V. Poly(A) tale: From A to A; RNA polyadenylation in prokaryotes and eukaryotes. WILEY INTERDISCIPLINARY REVIEWS. RNA 2024; 15:e1837. [PMID: 38485452 DOI: 10.1002/wrna.1837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 03/19/2024]
Abstract
Most eukaryotic mRNAs and different non-coding RNAs undergo a form of 3' end processing known as polyadenylation. Polyadenylation machinery is present in almost all organisms except few species. In bacteria, the machinery has evolved from PNPase, which adds heteropolymeric tails, to a poly(A)-specific polymerase. Differently, a complex machinery for accurate polyadenylation and several non-canonical poly(A) polymerases are developed in eukaryotes. The role of poly(A) tail has also evolved from serving as a degradative signal to a stabilizing modification that also regulates translation. In this review, we discuss poly(A) tail emergence in prokaryotes and its development into a stable, yet dynamic feature at the 3' end of mRNAs in eukaryotes. We also describe how appearance of novel poly(A) polymerases gives cells flexibility to shape poly(A) tail. We explain how poly(A) tail dynamics help regulate cognate RNA metabolism in a context-dependent manner, such as during oocyte maturation. Finally, we describe specific mRNAs in metazoans that bear stem-loops instead of poly(A) tails. We conclude with how recent discoveries about poly(A) tail can be applied to mRNA technology. This article is categorized under: RNA Evolution and Genomics > RNA and Ribonucleoprotein Evolution RNA Processing > 3' End Processing RNA Turnover and Surveillance > Regulation of RNA Stability.
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Affiliation(s)
- Ahmadreza Mofayezi
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
- ReNAP Therapeutics, Tehran, Iran
| | - Mahdieh Jadaliha
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran
| | | | - Vahid Khoddami
- ReNAP Therapeutics, Tehran, Iran
- Pediatric Cell and Gene Therapy Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
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30
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To KKW, Huang Z, Zhang H, Ashby CR, Fu L. Utilizing non-coding RNA-mediated regulation of ATP binding cassette (ABC) transporters to overcome multidrug resistance to cancer chemotherapy. Drug Resist Updat 2024; 73:101058. [PMID: 38277757 DOI: 10.1016/j.drup.2024.101058] [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: 11/06/2023] [Revised: 12/27/2023] [Accepted: 01/16/2024] [Indexed: 01/28/2024]
Abstract
Multidrug resistance (MDR) is one of the primary factors that produces treatment failure in patients receiving cancer chemotherapy. MDR is a complex multifactorial phenomenon, characterized by a decrease or abrogation of the efficacy of a wide spectrum of anticancer drugs that are structurally and mechanistically distinct. The overexpression of the ATP-binding cassette (ABC) transporters, notably ABCG2 and ABCB1, are one of the primary mediators of MDR in cancer cells, which promotes the efflux of certain chemotherapeutic drugs from cancer cells, thereby decreasing or abolishing their therapeutic efficacy. A number of studies have suggested that non-coding RNAs (ncRNAs), particularly microRNAs (miRNAs), long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), play a pivotal role in mediating the upregulation of ABC transporters in certain MDR cancer cells. This review will provide updated information about the induction of ABC transporters due to the aberrant regulation of ncRNAs in cancer cells. We will also discuss the measurement and biological profile of circulating ncRNAs in various body fluids as potential biomarkers for predicting the response of cancer patients to chemotherapy. Sequence variations, such as alternative polyadenylation of mRNA and single nucleotide polymorphism (SNPs) at miRNA target sites, which may indicate the interaction of miRNA-mediated gene regulation with genetic variations to modulate the MDR phenotype, will be reviewed. Finally, we will highlight novel strategies that could be used to modulate ncRNAs and circumvent ABC transporter-mediated MDR.
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Affiliation(s)
- Kenneth K W To
- School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region.
| | - Zoufang Huang
- Department of Hematology, The First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, China
| | - Hang Zhang
- School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region
| | - Charles R Ashby
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John's University, Queens, NY 11439, United States
| | - Liwu Fu
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
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31
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Jonnakuti VS, Wagner EJ, Maletić-Savatić M, Liu Z, Yalamanchili HK. PolyAMiner-Bulk is a deep learning-based algorithm that decodes alternative polyadenylation dynamics from bulk RNA-seq data. CELL REPORTS METHODS 2024; 4:100707. [PMID: 38325383 PMCID: PMC10921021 DOI: 10.1016/j.crmeth.2024.100707] [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: 02/28/2023] [Revised: 04/13/2023] [Accepted: 01/11/2024] [Indexed: 02/09/2024]
Abstract
Alternative polyadenylation (APA) is a key post-transcriptional regulatory mechanism; yet, its regulation and impact on human diseases remain understudied. Existing bulk RNA sequencing (RNA-seq)-based APA methods predominantly rely on predefined annotations, severely impacting their ability to decode novel tissue- and disease-specific APA changes. Furthermore, they only account for the most proximal and distal cleavage and polyadenylation sites (C/PASs). Deconvoluting overlapping C/PASs and the inherent noisy 3' UTR coverage in bulk RNA-seq data pose additional challenges. To overcome these limitations, we introduce PolyAMiner-Bulk, an attention-based deep learning algorithm that accurately recapitulates C/PAS sequence grammar, resolves overlapping C/PASs, captures non-proximal-to-distal APA changes, and generates visualizations to illustrate APA dynamics. Evaluation on multiple datasets strongly evinces the performance merit of PolyAMiner-Bulk, accurately identifying more APA changes compared with other methods. With the growing importance of APA and the abundance of bulk RNA-seq data, PolyAMiner-Bulk establishes a robust paradigm of APA analysis.
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Affiliation(s)
- Venkata Soumith Jonnakuti
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA; Program in Quantitative and Computational Biology, Baylor College of Medicine, Houston, TX 77030, USA; Medical Scientist Training Program, Baylor College of Medicine, Houston, TX 77030, USA
| | - Eric J Wagner
- Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
| | - Mirjana Maletić-Savatić
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Zhandong Liu
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA; Program in Quantitative and Computational Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Hari Krishna Yalamanchili
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA; Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA; USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
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32
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Chen H, Wang Z, Gong L, Wang Q, Chen W, Wang J, Ma X, Ding R, Li X, Zou X, Plass M, Lian C, Ni T, Wei GH, Li W, Deng L, Li L. A distinct class of pan-cancer susceptibility genes revealed by an alternative polyadenylation transcriptome-wide association study. Nat Commun 2024; 15:1729. [PMID: 38409266 PMCID: PMC10897204 DOI: 10.1038/s41467-024-46064-7] [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: 08/09/2023] [Accepted: 02/12/2024] [Indexed: 02/28/2024] Open
Abstract
Alternative polyadenylation plays an important role in cancer initiation and progression; however, current transcriptome-wide association studies mostly ignore alternative polyadenylation when identifying putative cancer susceptibility genes. Here, we perform a pan-cancer 3' untranslated region alternative polyadenylation transcriptome-wide association analysis by integrating 55 well-powered (n > 50,000) genome-wide association studies datasets across 22 major cancer types with alternative polyadenylation quantification from 23,955 RNA sequencing samples across 7,574 individuals. We find that genetic variants associated with alternative polyadenylation are co-localized with 28.57% of cancer loci and contribute a significant portion of cancer heritability. We further identify 642 significant cancer susceptibility genes predicted to modulate cancer risk via alternative polyadenylation, 62.46% of which have been overlooked by traditional expression- and splicing- studies. As proof of principle validation, we show that alternative alleles facilitate 3' untranslated region lengthening of CRLS1 gene leading to increased protein abundance and promoted proliferation of breast cancer cells. Together, our study highlights the significant role of alternative polyadenylation in discovering new cancer susceptibility genes and provides a strong foundational framework for enhancing our understanding of the etiology underlying human cancers.
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Affiliation(s)
- Hui Chen
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Zeyang Wang
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Lihai Gong
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Qixuan Wang
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Wenyan Chen
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Jia Wang
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xuelian Ma
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Ruofan Ding
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xing Li
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Xudong Zou
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Mireya Plass
- Gene Regulation of Cell Identity Group, Regenerative Medicine Program, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- Program for Advancing Clinical Translation of Regenerative Medicine of Catalonia, P-CMR[C], L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- Center for Networked Biomedical Research on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Madrid, 28029, Spain
| | - Cheng Lian
- Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Human Phenome Institute, School of Life Sciences and Huashan Hospital, Fudan University, Shanghai, 200438, China
| | - Gong-Hong Wei
- Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
- Disease Networks Research Unit, Faculty of Biochemistry and Molecular Medicine & Biocenter Oulu, University of Oulu, Oulu, 90410, Finland
| | - Wei Li
- Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, The University of California, Irvine, CA, 92697, USA.
| | - Lin Deng
- Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
| | - Lei Li
- Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, 518055, China.
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Zhang T, Li C, Zhu J, Li Y, Wang Z, Tong CY, Xi Y, Han Y, Koiwa H, Peng X, Zhang X. Structured 3' UTRs destabilize mRNAs in plants. Genome Biol 2024; 25:54. [PMID: 38388963 PMCID: PMC10885604 DOI: 10.1186/s13059-024-03186-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 02/14/2024] [Indexed: 02/24/2024] Open
Abstract
BACKGROUND RNA secondary structure (RSS) can influence the regulation of transcription, RNA processing, and protein synthesis, among other processes. 3' untranslated regions (3' UTRs) of mRNA also hold the key for many aspects of gene regulation. However, there are often contradictory results regarding the roles of RSS in 3' UTRs in gene expression in different organisms and/or contexts. RESULTS Here, we incidentally observe that the primary substrate of miR159a (pri-miR159a), when embedded in a 3' UTR, could promote mRNA accumulation. The enhanced expression is attributed to the earlier polyadenylation of the transcript within the hybrid pri-miR159a-3' UTR and, resultantly, a poorly structured 3' UTR. RNA decay assays indicate that poorly structured 3' UTRs could promote mRNA stability, whereas highly structured 3' UTRs destabilize mRNA in vivo. Genome-wide DMS-MaPseq also reveals the prevailing inverse relationship between 3' UTRs' RSS and transcript accumulation in the transcriptomes of Arabidopsis, rice, and even human. Mechanistically, transcripts with highly structured 3' UTRs are preferentially degraded by 3'-5' exoribonuclease SOV and 5'-3' exoribonuclease XRN4, leading to decreased expression in Arabidopsis. Finally, we engineer different structured 3' UTRs to an endogenous FT gene and alter the FT-regulated flowering time in Arabidopsis. CONCLUSIONS We conclude that highly structured 3' UTRs typically cause reduced accumulation of the harbored transcripts in Arabidopsis. This pattern extends to rice and even mammals. Furthermore, our study provides a new strategy of engineering the 3' UTRs' RSS to modify plant traits in agricultural production and mRNA stability in biotechnology.
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Affiliation(s)
- Tianru Zhang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA
- Molecular and Environmental Plant Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Changhao Li
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA
| | - Jiaying Zhu
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.
| | - Yanjun Li
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China
| | - Zhiye Wang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Chun-Yip Tong
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA
| | - Yu Xi
- Department of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX, 77807, USA
| | - Yi Han
- National Engineering Laboratory of Crop Stress Resistence Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Hisashi Koiwa
- Department of Horticultural Sciences, Texas A&M University, College Station, TX, 77843, USA
| | - Xu Peng
- Department of Medical Physiology, College of Medicine, Texas A&M University, Bryan, TX, 77807, USA
| | - Xiuren Zhang
- Department of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.
- Molecular and Environmental Plant Sciences, Texas A&M University, College Station, TX, 77843, USA.
- Department of Biology, Texas A&M University, College Station, TX, 77843, USA.
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34
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Torres-Ulloa L, Calvo-Roitberg E, Pai AA. Genome-wide kinetic profiling of pre-mRNA 3' end cleavage. RNA (NEW YORK, N.Y.) 2024; 30:256-270. [PMID: 38164598 PMCID: PMC10870368 DOI: 10.1261/rna.079783.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 12/13/2023] [Indexed: 01/03/2024]
Abstract
Cleavage and polyadenylation is necessary for the formation of mature mRNA molecules. The rate at which this process occurs can determine the temporal availability of mRNA for subsequent function throughout the cell and is likely tightly regulated. Despite advances in high-throughput approaches for global kinetic profiling of RNA maturation, genome-wide 3' end cleavage rates have never been measured. Here, we describe a novel approach to estimate the rates of cleavage, using metabolic labeling of nascent RNA, high-throughput sequencing, and mathematical modeling. Using in silico simulations of nascent RNA-seq data, we show that our approach can accurately and precisely estimate cleavage half-lives for both constitutive and alternative sites. We find that 3' end cleavage is fast on average, with half-lives under a minute, but highly variable across individual sites. Rapid cleavage is promoted by the presence of canonical sequence elements and an increased density of polyadenylation signals near a cleavage site. Finally, we find that cleavage rates are associated with the localization of RNA polymerase II at the end of a gene, and faster cleavage leads to quicker degradation of downstream readthrough RNA. Our findings shed light on the features important for efficient 3' end cleavage and the regulation of transcription termination.
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Affiliation(s)
- Leslie Torres-Ulloa
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA
| | - Ezequiel Calvo-Roitberg
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA
| | - Athma A Pai
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01605, USA
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35
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Wang X, Leung FS, Bush JO, Conti M. Alternative cleavage and polyadenylation of the Ccnb1 mRNA defines accumulation of cyclin protein during the meiotic cell cycle. Nucleic Acids Res 2024; 52:1258-1271. [PMID: 38048302 PMCID: PMC10853788 DOI: 10.1093/nar/gkad1151] [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: 06/16/2023] [Revised: 11/01/2023] [Accepted: 11/14/2023] [Indexed: 12/06/2023] Open
Abstract
Progression through the mitotic and meiotic cell cycle is driven by fluctuations in the levels of cyclins, the regulatory subunits controlling the localization and activity of CDK1 kinases. Cyclin levels are regulated through a precise balance of synthesis and degradation. Here we demonstrate that the synthesis of Cyclin B1 during the oocyte meiotic cell cycle is defined by the selective translation of mRNA variants generated through alternative cleavage and polyadenylation (APA). Using gene editing in mice, we introduced mutations into the proximal and distal polyadenylation elements of the 3' untranslated region (UTR) of the Ccnb1 mRNA. Through in vivo loss-of-function experiments, we demonstrate that the translation of mRNA with a short 3' UTR specifies Cyclin B1 protein levels that set the timing of meiotic re-entry. In contrast, translation directed by a long 3' UTR is necessary to direct Cyclin B1 protein accumulation during the MI/MII transition. These findings establish that the progression through the cell cycle is dependent on the selective translation of multiple mRNA variants generated by APA.
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Affiliation(s)
- Xiaotian Wang
- Center for Reproductive Sciences, University of California, San Francisco, CA 94143, USA
- USA Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, CA 94143, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA 94143, USA
| | - Fang-Shiuan Leung
- USA Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, CA 94143, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA 94143, USA
- Program in Craniofacial Biology, University of California San Francisco, San Francisco, CA 94143, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Jeffrey O Bush
- USA Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, CA 94143, USA
- Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, CA 94143, USA
- Program in Craniofacial Biology, University of California San Francisco, San Francisco, CA 94143, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Marco Conti
- Center for Reproductive Sciences, University of California, San Francisco, CA 94143, USA
- USA Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, CA 94143, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA 94143, USA
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36
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Hansel-Frose AFF, Allmer J, Friedrichs M, dos Santos HG, Dallagiovanna B, Spangenberg L. Alternative polyadenylation and dynamic 3' UTR length is associated with polysome recruitment throughout the cardiomyogenic differentiation of hESCs. Front Mol Biosci 2024; 11:1336336. [PMID: 38380430 PMCID: PMC10877728 DOI: 10.3389/fmolb.2024.1336336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 01/11/2024] [Indexed: 02/22/2024] Open
Abstract
Alternative polyadenylation (APA) increases transcript diversity through the generation of isoforms with varying 3' untranslated region (3' UTR) lengths. As the 3' UTR harbors regulatory element target sites, such as miRNAs or RNA-binding proteins, changes in this region can impact post-transcriptional regulation and translation. Moreover, the APA landscape can change based on the cell type, cell state, or condition. Given that APA events can impact protein expression, investigating translational control is crucial for comprehending the overall cellular regulation process. Revisiting data from polysome profiling followed by RNA sequencing, we investigated the cardiomyogenic differentiation of pluripotent stem cells by identifying the transcripts that show dynamic 3' UTR lengthening or shortening, which are being actively recruited to ribosome complexes. Our findings indicate that dynamic 3' UTR lengthening is not exclusively associated with differential expression during cardiomyogenesis but rather with recruitment to polysomes. We confirm that the differentiated state of cardiomyocytes shows a preference for shorter 3' UTR in comparison to the pluripotent stage although preferences vary during the days of the differentiation process. The most distinct regulatory changes are seen in day 4 of differentiation, which is the mesoderm commitment time point of cardiomyogenesis. After identifying the miRNAs that would target specifically the alternative 3' UTR region of the isoforms, we constructed a gene regulatory network for the cardiomyogenesis process, in which genes related to the cell cycle were identified. Altogether, our work sheds light on the regulation and dynamic 3' UTR changes of polysome-recruited transcripts that take place during the cardiomyogenic differentiation of pluripotent stem cells.
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Affiliation(s)
- Aruana F. F. Hansel-Frose
- Laboratory of Basic Stem Cell Biology, Carlos Chagas Institute, Oswaldo Cruz Foundation (FIOCRUZ/PR), Curitiba, Brazil
| | - Jens Allmer
- Department of Medical Informatics and Bioinformatics, University of Applied Sciences Ruhr West, Mülheim, Germany
| | - Marcel Friedrichs
- Bioinformatics and Medical Informatics Department, University of Bielefeld, Bielefeld, Germany
| | | | - Bruno Dallagiovanna
- Laboratory of Basic Stem Cell Biology, Carlos Chagas Institute, Oswaldo Cruz Foundation (FIOCRUZ/PR), Curitiba, Brazil
| | - Lucía Spangenberg
- Bioinformatics Unit, Pasteur Institute of Montevideo, Montevideo, Uruguay
- Departamento Basico de Medicina, Hospital de Clinicas, Universidad de la República (Udelar), Montevideo, Uruguay
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Meng X, Li C, Hei Y, Zhou X, Zhou G. Comparative alternative polyadenylation profiles in differentiated adipocytes of subcutaneous and intramuscular fat tissue in cattle. Gene 2024; 894:147949. [PMID: 37918547 DOI: 10.1016/j.gene.2023.147949] [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: 05/15/2023] [Revised: 09/16/2023] [Accepted: 10/30/2023] [Indexed: 11/04/2023]
Abstract
Alternative polyadenylation (APA) is a key molecular mechanism involved in the post-transcriptional regulation of gene expression, which has been proven to play a critical role in cell differentiation. In the present study, we performed IVT-SAPAS sequencing to profile the dynamic changes of APA sites in bovine subcutaneous preadipocytes and intramuscular preadipocytes during adipogenesis. A total of 52621 high quality APA sites were identified in preadipocytes and adipocytes. Compared with preadipocytes, the increased usage of canonical AATAAA was observed in the cell-biased APA sites of adipocytes. Furthermore, 1933 and 2140 differentially expressed APA (DE-APA) sites, as well as 341 and 337 untranslated region-APA (UTR-APA) switching genes were identified in subcutaneous preadipocytes and intramuscular preadipocytes during adipogenesis, respectively. The UTR-APA switching genes showed divergent trends in preadipocytes, among which UTR-APA switching genes in intramuscular preadipocytes tended to use shorter 3'UTR for differentiation into mature adipocytes. APA events mediated by UTR-APA switching in intramuscular adipocytes were enriched in lipid synthesis and adipocyte differentiation. TRIB3, WWTR1, and INSIG1 played important roles in the differentiation of intramuscular preadipocytes. Briefly, our results provided new insights into understanding the mechanisms of bovine adipocyte differentiation.
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Affiliation(s)
- Xiangge Meng
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Chengping Li
- College of Life Science, Liaocheng University, Liaocheng, China
| | - Yu Hei
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Xiang Zhou
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Key Laboratory of Swine Genetics and Breeding of Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China; Hubei Hongshan Laboratory, Wuhan, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| | - Guoli Zhou
- College of Life Science, Liaocheng University, Liaocheng, China.
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38
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Ge Y, Huang J, Chen R, Fu Y, Ling T, Ou X, Rong X, Cheng Y, Lin Y, Zhou F, Lu C, Yuan S, Xu A. Downregulation of CPSF6 leads to global mRNA 3' UTR shortening and enhanced antiviral immune responses. PLoS Pathog 2024; 20:e1012061. [PMID: 38416782 PMCID: PMC10927093 DOI: 10.1371/journal.ppat.1012061] [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: 11/09/2023] [Revised: 03/11/2024] [Accepted: 02/19/2024] [Indexed: 03/01/2024] Open
Abstract
Alternative polyadenylation (APA) is a widespread mechanism of gene regulation that generates mRNA isoforms with alternative 3' untranslated regions (3' UTRs). Our previous study has revealed the global 3' UTR shortening of host mRNAs through APA upon viral infection. However, how the dynamic changes in the APA landscape occur upon viral infection remains largely unknown. Here we further found that, the reduced protein abundance of CPSF6, one of the core 3' processing factors, promotes the usage of proximal poly(A) sites (pPASs) of many immune related genes in macrophages and fibroblasts upon viral infection. Shortening of the 3' UTR of these transcripts may improve their mRNA stability and translation efficiency, leading to the promotion of type I IFN (IFN-I) signalling-based antiviral immune responses. In addition, dysregulated expression of CPSF6 is also observed in many immune related physiological and pathological conditions, especially in various infections and cancers. Thus, the global APA dynamics of immune genes regulated by CPSF6, can fine-tune the antiviral response as well as the responses to other cellular stresses to maintain the tissue homeostasis, which may represent a novel regulatory mechanism for antiviral immunity.
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Affiliation(s)
- Yong Ge
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Jingrong Huang
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Rong Chen
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Yonggui Fu
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Tao Ling
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Xin Ou
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Xiaohui Rong
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Youxiang Cheng
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Yi Lin
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Fengyi Zhou
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
| | - Chuanjian Lu
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Shaochun Yuan
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
| | - Anlong Xu
- Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, China
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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39
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Bialas K, Diaz-Griffero F. HIV-1-induced translocation of CPSF6 to biomolecular condensates. Trends Microbiol 2024:S0966-842X(24)00001-5. [PMID: 38267295 DOI: 10.1016/j.tim.2024.01.001] [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: 08/30/2023] [Revised: 01/03/2024] [Accepted: 01/04/2024] [Indexed: 01/26/2024]
Abstract
Cleavage and polyadenylation specificity factor subunit 6 (CPSF6, also known as CFIm68) is a 68 kDa component of the mammalian cleavage factor I (CFIm) complex that modulates mRNA alternative polyadenylation (APA) and determines 3' untranslated region (UTR) length, an important gene expression control mechanism. CPSF6 directly interacts with the HIV-1 core during infection, suggesting involvement in HIV-1 replication. Here, we review the contributions of CPSF6 to every stage of the HIV-1 replication cycle. Recently, several groups described the ability of HIV-1 infection to induce CPSF6 translocation to nuclear speckles, which are biomolecular condensates. We discuss the implications for CPSF6 localization in condensates and the potential role of condensate-localized CPSF6 in the ability of HIV-1 to control the protein expression pattern of the cell.
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Affiliation(s)
- Katarzyna Bialas
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Felipe Diaz-Griffero
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
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40
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Bryce-Smith S, Brown AL, Mehta PR, Mattedi F, Mikheenko A, Barattucci S, Zanovello M, Dattilo D, Yome M, Hill SE, Qi YA, Wilkins OG, Sun K, Ryadnov E, Wan Y, Vargas JNS, Birsa N, Raj T, Humphrey J, Keuss M, Ward M, Secrier M, Fratta P. TDP-43 loss induces extensive cryptic polyadenylation in ALS/FTD. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.22.576625. [PMID: 38313254 PMCID: PMC10836071 DOI: 10.1101/2024.01.22.576625] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Nuclear depletion and cytoplasmic aggregation of the RNA-binding protein TDP-43 is the hallmark of ALS, occurring in over 97% of cases. A key consequence of TDP-43 nuclear loss is the de-repression of cryptic exons. Whilst TDP-43 regulated cryptic splicing is increasingly well catalogued, cryptic alternative polyadenylation (APA) events, which define the 3' end of last exons, have been largely overlooked, especially when not associated with novel upstream splice junctions. We developed a novel bioinformatic approach to reliably identify distinct APA event types: alternative last exons (ALE), 3'UTR extensions (3'Ext) and intronic polyadenylation (IPA) events. We identified novel neuronal cryptic APA sites induced by TDP-43 loss of function by systematically applying our pipeline to a compendium of publicly available and in house datasets. We find that TDP-43 binding sites and target motifs are enriched at these cryptic events and that TDP-43 can have both repressive and enhancing action on APA. Importantly, all categories of cryptic APA can also be identified in ALS and FTD post mortem brain regions with TDP-43 proteinopathy underlining their potential disease relevance. RNA-seq and Ribo-seq analyses indicate that distinct cryptic APA categories have different downstream effects on transcript and translation. Intriguingly, cryptic 3'Exts occur in multiple transcription factors, such as ELK1, SIX3, and TLX1, and lead to an increase in wild-type protein levels and function. Finally, we show that an increase in RNA stability leading to a higher cytoplasmic localisation underlies these observations. In summary, we demonstrate that TDP-43 nuclear depletion induces a novel category of cryptic RNA processing events and we expand the palette of TDP-43 loss consequences by showing this can also lead to an increase in normal protein translation.
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Affiliation(s)
- Sam Bryce-Smith
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Anna-Leigh Brown
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Puja R. Mehta
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Francesca Mattedi
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Alla Mikheenko
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Simone Barattucci
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Matteo Zanovello
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Dario Dattilo
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Matthew Yome
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Sarah E. Hill
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Yue A. Qi
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Oscar G. Wilkins
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
- The Francis Crick Institute, London, UK
| | - Kai Sun
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Eugeni Ryadnov
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Yixuan Wan
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | | | - Jose Norberto S. Vargas
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Nicol Birsa
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Towfique Raj
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Humphrey
- Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences & Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Estelle and Daniel Maggin Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Keuss
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Michael Ward
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, USA
| | - Maria Secrier
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Pietro Fratta
- UCL Queen Square Motor Neuron Disease Centre, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, UCL, London, UK
- The Francis Crick Institute, London, UK
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41
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Zeng Y, Lovchykova A, Akiyama T, Liu C, Guo C, Jawahar VM, Sianto O, Calliari A, Prudencio M, Dickson DW, Petrucelli L, Gitler AD. TDP-43 nuclear loss in FTD/ALS causes widespread alternative polyadenylation changes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.22.575730. [PMID: 38328059 PMCID: PMC10849503 DOI: 10.1101/2024.01.22.575730] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
In frontotemporal dementia and amyotrophic lateral sclerosis, the RNA-binding protein TDP-43 is depleted from the nucleus. TDP-43 loss leads to cryptic exon inclusion but a role in other RNA processing events remains unresolved. Here, we show that loss of TDP-43 causes widespread changes in alternative polyadenylation, impacting expression of disease-relevant genes (e.g., ELP1, NEFL, and TMEM106B) and providing evidence that alternative polyadenylation is a new facet of TDP-43 pathology.
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Affiliation(s)
- Yi Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Tetsuya Akiyama
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Chang Liu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Caiwei Guo
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Vidhya Maheswari Jawahar
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Odilia Sianto
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Anna Calliari
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Mercedes Prudencio
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Dennis W. Dickson
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Leonard Petrucelli
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
- Neuroscience Graduate Program, Mayo Clinic Graduate School of Biomedical Sciences, Jacksonville, FL, USA
| | - Aaron D. Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub – San Francisco, San Francisco, CA, USA
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42
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Flores CC, Pasetto NA, Wang H, Dimitrov A, Davis JF, Jiang Z, Davis CJ, Gerstner JR. Identification of sleep and circadian alternative polyadenylation sites associated with APA-linked human brain disorders. RESEARCH SQUARE 2024:rs.3.rs-3867797. [PMID: 38313253 PMCID: PMC10836116 DOI: 10.21203/rs.3.rs-3867797/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Sleep and circadian rhythm disruptions are comorbid features of many pathologies and can negatively influence numerous health conditions, including degenerative diseases, metabolic illnesses, cancer, and various neurological disorders. Genetic association studies linking sleep and circadian disturbances with disease susceptibility have mainly focused on changes in gene expression due to mutations, such as single-nucleotide polymorphisms. Thus, associations between sleep and/or circadian rhythm and alternative polyadenylation (APA), particularly in the context of other health challenges, are largely undescribed. APA is a process that generates various transcript isoforms from the same gene, resulting in effects on mRNA translation, stability, localization, and subsequent function. Here, we have identified unique APAs in rat brain that exhibit time-of-day-dependent oscillations in expression as well as APAs that are altered by sleep deprivation and the subsequent recovery period. Genes affected by APA usage include Mapt/Tau, Ntrk2, Homer1A, Sin3band Sorl. Sorl1 has two APAs which cycle with a 24 h period, one additional APA cycles with a 12 h period and one more that is reduced during recovery sleep. Finally, we compared sleep- or circadian-associated APAs with recently described APA-linked brain disorder susceptibility genes and found 46 genes in common.
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43
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Neumann DP, Pillman KA, Dredge BK, Bert AG, Phillips CA, Lumb R, Ramani Y, Bracken CP, Hollier BG, Selth LA, Beilharz TH, Goodall GJ, Gregory PA. The landscape of alternative polyadenylation during EMT and its regulation by the RNA-binding protein Quaking. RNA Biol 2024; 21:1-11. [PMID: 38112323 PMCID: PMC10732628 DOI: 10.1080/15476286.2023.2294222] [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] [Accepted: 12/05/2023] [Indexed: 12/21/2023] Open
Abstract
Epithelial-mesenchymal transition (EMT) plays important roles in tumour progression and is orchestrated by dynamic changes in gene expression. While it is well established that post-transcriptional regulation plays a significant role in EMT, the extent of alternative polyadenylation (APA) during EMT has not yet been explored. Using 3' end anchored RNA sequencing, we mapped the alternative polyadenylation (APA) landscape following Transforming Growth Factor (TGF)-β-mediated induction of EMT in human mammary epithelial cells and found APA generally causes 3'UTR lengthening during this cell state transition. Investigation of potential mediators of APA indicated the RNA-binding protein Quaking (QKI), a splicing factor induced during EMT, regulates a subset of events including the length of its own transcript. Analysis of QKI crosslinked immunoprecipitation (CLIP)-sequencing data identified the binding of QKI within 3' untranslated regions (UTRs) was enriched near cleavage and polyadenylation sites. Following QKI knockdown, APA of many transcripts is altered to produce predominantly shorter 3'UTRs associated with reduced gene expression. These findings reveal the changes in APA that occur during EMT and identify a potential role for QKI in this process.
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Affiliation(s)
- Daniel P. Neumann
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Katherine A. Pillman
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - B. Kate Dredge
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Andrew G. Bert
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Caroline A. Phillips
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Rachael Lumb
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Yesha Ramani
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
| | - Cameron P. Bracken
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Brett G. Hollier
- Australian Prostate Cancer Research Centre - Queensland, Centre for Genomics and Personalised Health, Faculty of Health, School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Luke A. Selth
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
- Flinders Health and Medical Research Institute, Flinders University, Bedford Park, SA, Australia
| | - Traude H. Beilharz
- Development and Stem Cells Program, Monash Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, Melbourne, Australia
| | - Gregory J. Goodall
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
| | - Philip A. Gregory
- Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA, Australia
- Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA, Australia
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44
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Liu L, Yu AM, Wang X, Soles LV, Teng X, Chen Y, Yoon Y, Sarkan KSK, Valdez MC, Linder J, England W, Spitale R, Yu Z, Marazzi I, Qiao F, Li W, Seelig G, Shi Y. The anticancer compound JTE-607 reveals hidden sequence specificity of the mRNA 3' processing machinery. Nat Struct Mol Biol 2023; 30:1947-1957. [PMID: 38087090 DOI: 10.1038/s41594-023-01161-x] [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: 12/11/2022] [Accepted: 10/24/2023] [Indexed: 12/18/2023]
Abstract
JTE-607 is an anticancer and anti-inflammatory compound and its active form, compound 2, directly binds to and inhibits CPSF73, the endonuclease for the cleavage step in pre-messenger RNA (pre-mRNA) 3' processing. Surprisingly, compound 2-mediated inhibition of pre-mRNA cleavage is sequence specific and the drug sensitivity is predominantly determined by sequences flanking the cleavage site (CS). Using massively parallel in vitro assays, we identified key sequence features that determine drug sensitivity. We trained a machine learning model that can predict poly(A) site (PAS) relative sensitivity to compound 2 and provide the molecular basis for understanding the impact of JTE-607 on PAS selection and transcription termination genome wide. We propose that CPSF73 and associated factors bind to the CS region in a sequence-dependent manner and the interaction affinity determines compound 2 sensitivity. These results have not only elucidated the mechanism of action of JTE-607, but also unveiled an evolutionarily conserved sequence specificity of the mRNA 3' processing machinery.
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Affiliation(s)
- Liang Liu
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
- Center for Virus Research, University of California, Irvine, Irvine, CA, USA
| | - Angela M Yu
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Seattle, WA, USA
| | - Xiuye Wang
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
- Guangzhou Laboratory, Guangdong, China
| | - Lindsey V Soles
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Xueyi Teng
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Yiling Chen
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Yoseop Yoon
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Kristianna S K Sarkan
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Marielle Cárdenas Valdez
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Johannes Linder
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Whitney England
- Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
| | - Robert Spitale
- Department of Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
- Department of Chemistry, University of California, Irvine, Irvine, CA, USA
- Department of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, USA
| | - Zhaoxia Yu
- Department of Statistics, University of California, Irvine, Irvine, CA, USA
| | - Ivan Marazzi
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Feng Qiao
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Wei Li
- Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA, USA
| | - Georg Seelig
- Department of Electrical and Computer Engineering, University of Washington, Seattle, Seattle, WA, USA.
- Paul G Allen School of Computer Science and Engineering, University of Washington, Seattle, Seattle, WA, USA.
| | - Yongsheng Shi
- Department of Microbiology and Molecular Genetics, School of Medicine, University of California, Irvine, Irvine, CA, USA.
- Center for Virus Research, University of California, Irvine, Irvine, CA, USA.
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45
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Lee S, Aubee JI, Lai EC. Regulation of alternative splicing and polyadenylation in neurons. Life Sci Alliance 2023; 6:e202302000. [PMID: 37793776 PMCID: PMC10551640 DOI: 10.26508/lsa.202302000] [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: 02/19/2023] [Revised: 09/22/2023] [Accepted: 09/25/2023] [Indexed: 10/06/2023] Open
Abstract
Cell-type-specific gene expression is a fundamental feature of multicellular organisms and is achieved by combinations of regulatory strategies. Although cell-restricted transcription is perhaps the most widely studied mechanism, co-transcriptional and post-transcriptional processes are also central to the spatiotemporal control of gene functions. One general category of expression control involves the generation of multiple transcript isoforms from an individual gene, whose balance and cell specificity are frequently tightly regulated via diverse strategies. The nervous system makes particularly extensive use of cell-specific isoforms, specializing the neural function of genes that are expressed more broadly. Here, we review regulatory strategies and RNA-binding proteins that direct neural-specific isoform processing. These include various classes of alternative splicing and alternative polyadenylation events, both of which broadly diversify the neural transcriptome. Importantly, global alterations of splicing and alternative polyadenylation are characteristic of many neural pathologies, and recent genetic studies demonstrate how misregulation of individual neural isoforms can directly cause mutant phenotypes.
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Affiliation(s)
- Seungjae Lee
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
| | - Joseph I Aubee
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
| | - Eric C Lai
- Developmental Biology Program, Sloan Kettering Institute, New York, NY, USA
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Murphy MR, Ramadei A, Doymaz A, Varriano S, Natelson D, Yu A, Aktas S, Mazzeo M, Mazzeo M, Zakusilo G, Kleiman F. Long non-coding RNA generated from CDKN1A gene by alternative polyadenylation regulates p21 expression during DNA damage response. Nucleic Acids Res 2023; 51:11911-11926. [PMID: 37870464 PMCID: PMC10681730 DOI: 10.1093/nar/gkad899] [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: 12/27/2022] [Revised: 09/21/2023] [Accepted: 10/12/2023] [Indexed: 10/24/2023] Open
Abstract
Alternative Polyadenylation (APA) is an emerging mechanism for dynamic changes in gene expression. Previously, we described widespread APA occurrence in introns during the DNA damage response (DDR). Here, we show that a DDR-activated APA event occurs in the first intron of CDKN1A, inducing an alternate last exon-containing lncRNA. We named this lncRNA SPUD (Selective Polyadenylation Upon DNA Damage). SPUD localizes to polysomes in the cytoplasm and is detectable as multiple isoforms in available high-throughput studies. SPUD has low abundance compared to the CDKN1A full-length isoform under non-stress conditions, and SPUD is induced in cancer and normal cells under a variety of DNA damaging conditions in part through p53. The RNA binding protein HuR binds to and promotes the stability of SPUD precursor RNA. SPUD induction increases p21 protein, but not mRNA levels, affecting p21 functions in cell-cycle, CDK2 expression and cell growth. Like CDKN1A full-length isoform, SPUD can bind two competitive p21 translational regulators, the inhibitor calreticulin and the activator CUGBP1; SPUD alters their association with CDKN1A full-length in a DDR-dependent manner, promoting CDKN1A translation. Together, these results show a new regulatory mechanism by which a lncRNA controls p21 expression post-transcriptionally, highlighting lncRNA relevance in DDR progression and cell-cycle.
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Affiliation(s)
- Michael R Murphy
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
- Biology Program, The Graduate Center, The City University of New York, New York, NY 10016, USA
| | - Anthony Ramadei
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
- Biology Program, The Graduate Center, The City University of New York, New York, NY 10016, USA
| | - Ahmet Doymaz
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
| | - Sophia Varriano
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
- Biology Program, The Graduate Center, The City University of New York, New York, NY 10016, USA
| | - Devorah M Natelson
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
- Biology Program, The Graduate Center, The City University of New York, New York, NY 10016, USA
| | - Amy Yu
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
| | - Sera Aktas
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
| | - Marie Mazzeo
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
| | - Michael Mazzeo
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
| | - George Zakusilo
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
| | - Frida E Kleiman
- Chemistry Department, Hunter College, The City University of New York, New York, NY 10021, USA
- Biology Program, The Graduate Center, The City University of New York, New York, NY 10016, USA
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Chemparathy A, Guen YL, Zeng Y, Gorzynski J, Jensen T, Yang C, Kasireddy N, Talozzi L, Belloy ME, Stewart I, Gitler AD, Wagner AD, Mormino E, Henderson VW, Wyss-Coray T, Ashley E, Cruchaga C, Greicius MD. A 3'UTR Insertion Is a Candidate Causal Variant at the TMEM106B Locus Associated with Increased Risk for FTLD-TDP. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.06.23292312. [PMID: 37461476 PMCID: PMC10350161 DOI: 10.1101/2023.07.06.23292312] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Background and Objectives Single nucleotide variants near TMEM106B associate with risk of frontotemporal lobar dementia with TDP-43 inclusions (FTLD-TDP) and Alzheimer's disease (AD) in genome-wide association studies (GWAS), but the causal variant at this locus remains unclear. Here we asked whether a novel structural variant on TMEM106B is the causal variant. Methods An exploratory analysis identified structural variants on neurodegeneration-related genes. Subsequent analyses focused on an Alu element insertion on the 3'UTR of TMEM106B. This study included data from longitudinal aging and neurogenerative disease cohorts at Stanford University, case-control cohorts in the Alzheimer's Disease Sequencing Project (ADSP), and expression and proteomics data from Washington University in St. Louis (WUSTL). 432 individuals from two Stanford aging cohorts were whole-genome long-read and short-read sequenced. 16,906 samples from ADSP were short-read sequenced. Genotypes, transcriptomics, and proteomics data were available in 1,979 participants from an aging and dementia cohort at WUSTL. Selection criteria were specific to each cohort. In primary analyses, the linkage disequilibrium between the TMEM106B locus variants in the FTLD-TDP GWAS and the 3'UTR insertion was estimated. We then estimated linkage by ancestry in the ADSP and evaluated the effect of the TMEM106B lead variant on mRNA and protein levels. Results The primary analysis included 432 participants (52.5% females, age range 45-92 years old). We identified a 316 bp Alu insertion overlapping the TMEM106B 3'UTR tightly linked with top GWAS variants rs3173615(C) and rs1990622(A). In ADSP European-ancestry participants, this insertion is in equivalent linkage with rs1990622(A) (R2=0.962, D'=0.998) and rs3173615(C) (R2=0.960, D'=0.996). In African-ancestry participants, the insertion is in stronger linkage with rs1990622(A) (R2=0.992, D'=0.998) than with rs3173615(C) (R2=0.811, D'=0.994). In public datasets, rs1990622 was consistently associated with TMEM106B protein levels but not with mRNA expression. In the WUSTL dataset, rs1990622 is associated with TMEM106B protein levels in plasma and cerebrospinal fluid, but not with TMEM106B mRNA expression. Discussion We identified a novel Alu element insertion in the 3'UTR of TMEM106B in tight linkage with the lead FTLD-TDP risk variant. The lead variant is associated with TMEM106B protein levels, but not expression. The 3'UTR insertion is a lead candidate for the causal variant at this complex locus, pending confirmation with functional studies.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Yi Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - John Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Tanner Jensen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Chengran Yang
- Neurogenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Lia Talozzi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Aaron D. Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Anthony D. Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Victor W. Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Euan Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Carlos Cruchaga
- Neurogenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
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48
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Stroup EK, Ji Z. Deep learning of human polyadenylation sites at nucleotide resolution reveals molecular determinants of site usage and relevance in disease. Nat Commun 2023; 14:7378. [PMID: 37968271 PMCID: PMC10651852 DOI: 10.1038/s41467-023-43266-3] [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: 01/28/2023] [Accepted: 11/05/2023] [Indexed: 11/17/2023] Open
Abstract
The genomic distribution of cleavage and polyadenylation (polyA) sites should be co-evolutionally optimized with the local gene structure. Otherwise, spurious polyadenylation can cause premature transcription termination and generate aberrant proteins. To obtain mechanistic insights into polyA site optimization across the human genome, we develop deep/machine learning models to identify genome-wide putative polyA sites at unprecedented nucleotide-level resolution and calculate their strength and usage in the genomic context. Our models quantitatively measure position-specific motif importance and their crosstalk in polyA site formation and cleavage heterogeneity. The intronic site expression is governed by the surrounding splicing landscape. The usage of alternative polyA sites in terminal exons is modulated by their relative locations and distance to downstream genes. Finally, we apply our models to reveal thousands of disease- and trait-associated genetic variants altering polyadenylation activity. Altogether, our models represent a valuable resource to dissect molecular mechanisms mediating genome-wide polyA site expression and characterize their functional roles in human diseases.
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Affiliation(s)
- Emily Kunce Stroup
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA
| | - Zhe Ji
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, 60628, USA.
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Liu S, Wu R, Chen L, Deng K, Ou X, Lu X, Li M, Liu C, Chen S, Fu Y, Xu A. CPSF6 regulates alternative polyadenylation and proliferation of cancer cells through phase separation. Cell Rep 2023; 42:113197. [PMID: 37777964 DOI: 10.1016/j.celrep.2023.113197] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 06/20/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023] Open
Abstract
Cancer cells usually exhibit shortened 3' untranslated regions (UTRs) due to alternative polyadenylation (APA) to promote cell proliferation and migration. Upregulated CPSF6 leads to a systematic prolongation of 3' UTRs, but CPSF6 expression in tumors is typically higher than that in healthy tissues. This contradictory observation suggests that it is necessary to investigate the underlying mechanism by which CPSF6 regulates APA switching in cancer. Here, we find that CPSF6 can undergo liquid-liquid phase separation (LLPS), and elevated LLPS is associated with the preferential usage of the distal poly(A) sites. CLK2, a kinase upregulated in cancer cells, destructs CPSF6 LLPS by phosphorylating its arginine/serine-like domain. The reduction of CPSF6 LLPS can lead to a shortened 3' UTR of cell-cycle-related genes and accelerate cell proliferation. These results suggest that CPSF6 LLPS, rather than its expression level, may be responsible for APA regulation in cancer cells.
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Affiliation(s)
- Susu Liu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Runze Wu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Liutao Chen
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Ke Deng
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Xin Ou
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Xin Lu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Mengxia Li
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Chao Liu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Shangwu Chen
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China
| | - Yonggui Fu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China.
| | - Anlong Xu
- State Key Laboratory for Biocontrol, Guangdong Province Key Laboratory of Pharmaceutical Functional Genes, Department of Biochemistry, School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, P.R. China; School of Life Science, Beijing University of Chinese Medicine, Beijing 100029, P.R. China.
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50
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Yu P, Song S, Zhang X, Cui S, Wei G, Huang Z, Zeng L, Ni T, Sun A. Downregulation of apoptotic repressor AVEN exacerbates cardiac injury after myocardial infarction. Proc Natl Acad Sci U S A 2023; 120:e2302482120. [PMID: 37816050 PMCID: PMC10589712 DOI: 10.1073/pnas.2302482120] [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: 02/12/2023] [Accepted: 09/06/2023] [Indexed: 10/12/2023] Open
Abstract
Myocardial infarction (MI) is a leading cause of heart failure (HF), associated with morbidity and mortality worldwide. As an essential part of gene expression regulation, the role of alternative polyadenylation (APA) in post-MI HF remains elusive. Here, we revealed a global, APA-mediated, 3' untranslated region (3' UTR)-lengthening pattern in both human and murine post-MI HF samples. Furthermore, the 3' UTR of apoptotic repressor gene, AVEN, is lengthened after MI, contributing to its downregulation. AVEN knockdown increased cardiomyocyte apoptosis, whereas restoration of AVEN expression substantially improved cardiac function. Mechanistically, AVEN 3' UTR lengthening provides additional binding sites for miR-30b-5p and miR-30c-5p, thus reducing AVEN expression. Additionally, PABPN1 (poly(A)-binding protein 1) was identified as a potential regulator of AVEN 3' UTR lengthening after MI. Altogether, our findings revealed APA as a unique mechanism regulating cardiac injury in response to MI and also indicated that the APA-regulated gene, AVEN, holds great potential as a critical therapeutic target for treating post-MI HF.
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Affiliation(s)
- Peng Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
| | - Shuai Song
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Xiaokai Zhang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Shujun Cui
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
| | - Gang Wei
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
| | - Zihang Huang
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Linqi Zeng
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
| | - Ting Ni
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai200040, China
- State key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institutes of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot010021, China
- Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai201203, China
| | - Aijun Sun
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Department of Anthropology and Human Genetics, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai200438, China
- Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai200032, China
- Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Shanghai200032, China
- Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai201203, China
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