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Kovachka S, Tong Y, Childs-Disney JL, Disney MD. Heterobifunctional small molecules to modulate RNA function. Trends Pharmacol Sci 2024; 45:449-463. [PMID: 38641489 DOI: 10.1016/j.tips.2024.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/21/2024]
Abstract
RNA has diverse cellular functionality, including regulating gene expression, protein translation, and cellular response to stimuli, due to its intricate structures. Over the past decade, small molecules have been discovered that target functional structures within cellular RNAs and modulate their function. Simple binding, however, is often insufficient, resulting in low or even no biological activity. To overcome this challenge, heterobifunctional compounds have been developed that can covalently bind to the RNA target, alter RNA sequence, or induce its cleavage. Herein, we review the recent progress in the field of RNA-targeted heterobifunctional compounds using representative case studies. We identify critical gaps and limitations and propose a strategic pathway for future developments of RNA-targeted molecules with augmented functionalities.
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Affiliation(s)
- Sandra Kovachka
- Department of Chemistry, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, 130 Scripps Way, Jupiter, FL 33458, USA
| | - Yuquan Tong
- Department of Chemistry, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, 130 Scripps Way, Jupiter, FL 33458, USA; The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA
| | - Jessica L Childs-Disney
- Department of Chemistry, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, 130 Scripps Way, Jupiter, FL 33458, USA
| | - Matthew D Disney
- Department of Chemistry, The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, 130 Scripps Way, Jupiter, FL 33458, USA; The Scripps Research Institute, 130 Scripps Way, Jupiter, FL 33458, USA.
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2
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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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3
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Varineau JE, Calo E. A common cellular response to broad splicing perturbations is characterized by metabolic transcript downregulation driven by the Mdm2-p53 axis. Dis Model Mech 2024; 17:dmm050356. [PMID: 38426258 PMCID: PMC10924232 DOI: 10.1242/dmm.050356] [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: 06/16/2023] [Accepted: 01/09/2024] [Indexed: 03/02/2024] Open
Abstract
Disruptions in core cellular processes elicit stress responses that drive cell-state changes leading to organismal phenotypes. Perturbations in the splicing machinery cause widespread mis-splicing, resulting in p53-dependent cell-state changes that give rise to cell-type-specific phenotypes and disease. However, a unified framework for how cells respond to splicing perturbations, and how this response manifests itself in nuanced disease phenotypes, has yet to be established. Here, we show that a p53-stabilizing Mdm2 alternative splicing event and the resulting widespread downregulation of metabolic transcripts are common events that arise in response to various splicing perturbations in both cellular and organismal models. Together, our results classify a common cellular response to splicing perturbations, put forth a new mechanism behind the cell-type-specific phenotypes that arise when splicing is broadly disrupted, and lend insight into the pleiotropic nature of the effects of p53 stabilization in disease.
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Affiliation(s)
- Jade E. Varineau
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Eliezer Calo
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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4
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Cui Y, Zhang Z, Lv M, Duan Z, Liu W, Gao J, Xu R, Wan Q. Chromatin target of protein arginine methyltransferases alleviates cerebral ischemia/reperfusion-induced injury by regulating RNA alternative splicing. iScience 2024; 27:108688. [PMID: 38188517 PMCID: PMC10770728 DOI: 10.1016/j.isci.2023.108688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/01/2023] [Accepted: 12/05/2023] [Indexed: 01/09/2024] Open
Abstract
RNA splicing is a post-transcriptional event that regulates many physiological and pathological events. However, whether RNA splicing regulates cerebral I/R-induced brain injury remains largely unknown. In this study, we found that the chromatin target of Prmts (CHTOP) was highly expressed in neurons, and anti-inflammatory cytokine interleukin-10 (IL-10) upregulates its expression after ischemia. In addition, overexpression or knockdown of CHTOP alleviated or exacerbated neuronal death in both experimental stroke mice and cultured neurons. Mechanistically, RNA alternative splicing is altered early after oxygen and glucose deprivation/reoxygenation (OGD/R). CHTOP interacted with nuclear speckle-related proteins to regulate alternative mRNA splicing of neuronal survival-related genes after OGD/R. In addition, I/R injury-induced cytokines IL-10 regulate CHTOP-mediated RNA splicing to alleviate ischemic brain injury. Taken together, this study reveals the alteration of RNA splicing after OGD/R and identifies the IL-10-CHTOP-RNA splicing axis as a modulator of brain injury, which may be promising therapeutic targets for ischemic stroke.
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Affiliation(s)
- Yu Cui
- Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, China
- Qingdao Medical College, Qingdao University, Qingdao 266071, China
| | - Zhaolong Zhang
- Department of Interventional Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, Shandong 266000, China
| | - Mengfei Lv
- Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, China
- Qingdao Medical College, Qingdao University, Qingdao 266071, China
| | - Zhongying Duan
- Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, China
- Qingdao Medical College, Qingdao University, Qingdao 266071, China
| | - Wenhao Liu
- Department of Interventional Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, Shandong 266000, China
| | - Jingchen Gao
- Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, China
| | - Rui Xu
- Department of Interventional Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, Shandong 266000, China
| | - Qi Wan
- Institute of Neuroregeneration and Neurorehabilitation, Qingdao University, 308 Ningxia Road, Qingdao, Shandong 266071, China
- Qingdao Medical College, Qingdao University, Qingdao 266071, China
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5
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Wang J, Ma X, Hu Y, Feng G, Guo C, Zhang X, Ma H. Regulation of micro- and small-exon retention and other splicing processes by GRP20 for flower development. NATURE PLANTS 2024; 10:66-85. [PMID: 38195906 PMCID: PMC10808074 DOI: 10.1038/s41477-023-01605-8] [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: 11/11/2022] [Accepted: 11/29/2023] [Indexed: 01/11/2024]
Abstract
Pre-mRNA splicing is crucial for gene expression and depends on the spliceosome and splicing factors. Plant exons have an average size of ~180 nucleotides and typically contain motifs for interactions with spliceosome and splicing factors. Micro exons (<51 nucleotides) are found widely in eukaryotes and in genes for plant development and environmental responses. However, little is known about transcript-specific regulation of splicing in plants and about the regulators for micro exon splicing. Here we report that glycine-rich protein 20 (GRP20) is an RNA-binding protein and required for splicing of ~2,100 genes including those functioning in flower development and/or environmental responses. Specifically, GRP20 is required for micro-exon retention in transcripts of floral homeotic genes; these micro exons are conserved across angiosperms. GRP20 is also important for small-exon (51-100 nucleotides) splicing. In addition, GRP20 is required for flower development. Furthermore, GRP20 binds to poly-purine motifs in micro and small exons and a spliceosome component; both RNA binding and spliceosome interaction are important for flower development and micro-exon retention. Our results provide new insights into the mechanisms of micro-exon retention in flower development.
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Affiliation(s)
- Jun Wang
- Department of Biology, Eberly College of Science, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Xinwei Ma
- Department of Biology, Eberly College of Science, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Yi Hu
- Department of Biology, Eberly College of Science, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Guanhua Feng
- Department of Biology, Eberly College of Science, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA
| | - Chunce Guo
- Jiangxi Provincial Key Laboratory for Bamboo Germplasm Resources and Utilization, Forestry College, Jiangxi Agricultural University, Nanchang, China
| | - Xin Zhang
- Department of Chemistry and Department of Biochemistry and Molecular Biology, Eberly College of Science, Pennsylvania State University, University Park, PA, USA
| | - Hong Ma
- Department of Biology, Eberly College of Science, Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA, USA.
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Huynh D, Wu CW. Identification of pararosaniline as a modifier of RNA splicing in Caenorhabditis elegans. G3 (BETHESDA, MD.) 2023; 13:jkad241. [PMID: 37852248 PMCID: PMC10700105 DOI: 10.1093/g3journal/jkad241] [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: 09/13/2023] [Revised: 09/13/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023]
Abstract
Posttranscriptional splicing of premessenger RNA (mRNA) is an evolutionarily conserved eukaryotic process for producing mature mRNA that is translated into proteins. Accurate splicing is necessary for normal growth and development, and aberrant splicing is increasingly evident in various human pathologies. To study environmental factors that influence RNA splicing, we employed a fluorescent Caenorhabditis elegans in vivo splicing reporter as a biomarker for splicing fidelity to screen against the US EPA ToxCast chemical library. We identified pararosaniline hydrochloride as a strong modifier of RNA splicing. Through gene expression analysis, we found that pararosaniline activates the oxidative stress response and alters the expression of key RNA splicing regulator genes. Physiological assays show that pararosaniline is deleterious to C. elegans development, reproduction, and aging. Through a targeted RNAi screen, we found that inhibiting protein translation can reverse pararosaniline's effect on the splicing reporter and provide significant protection against long-term pararosaniline toxicity. Together, this study reveals a new chemical modifier of RNA splicing and describes translation inhibition as a genetic mechanism to provide resistance.
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Affiliation(s)
- Dylan Huynh
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, Canada
| | - Cheng-Wei Wu
- Department of Veterinary Biomedical Sciences, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, Canada
- Toxicology Centre, University of Saskatchewan, Saskatoon, SK S7N 5B3, Canada
- Department of Biochemistry, Microbiology and Immunology, College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada
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Martuscello RT, Sivaprakasam K, Hartstone W, Kuo SH, Konopka G, Louis ED, Faust PL. Gene Expression Analysis of Laser-Captured Purkinje Cells in the Essential Tremor Cerebellum. CEREBELLUM (LONDON, ENGLAND) 2023; 22:1166-1181. [PMID: 36242761 PMCID: PMC10359949 DOI: 10.1007/s12311-022-01483-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/28/2022] [Indexed: 12/13/2022]
Abstract
Essential tremor (ET) is a common, progressive neurological disease characterized by an 8-12-Hz kinetic tremor. Despite its high prevalence, the patho-mechanisms of tremor in ET are not fully known. Through comprehensive studies in postmortem brains, we identified major morphological changes in the ET cerebellum that reflect cellular damage in Purkinje cells (PCs), suggesting that PC damage is central to ET pathogenesis. We previously performed a transcriptome analysis in ET cerebellar cortex, identifying candidate genes and several dysregulated pathways. To directly target PCs, we purified RNA from PCs isolated by laser capture microdissection and performed the first ever PC-specific RNA-sequencing analysis in ET versus controls. Frozen postmortem cerebellar cortex from 24 ETs and 16 controls underwent laser capture microdissection, obtaining ≥2000 PCs per sample. RNA transcriptome was analyzed via differential gene expression, principal component analysis (PCA), and gene set enrichment analyses (GSEA). We identified 36 differentially expressed genes, encompassing multiple cellular processes. Some ET (13/24) had greater dysregulation of these genes and segregated from most controls and remaining ETs in PCA. Characterization of genes/pathways enriched in this PCA and GSEA identified multiple pathway dysregulations in ET, including RNA processing/splicing, synapse organization/ion transport, and oxidative stress/inflammation. Furthermore, a different set of pathways characterized marked heterogeneity among ET patients. Our data indicate a range of possible mechanisms for the pathogenesis of ET. Significant heterogeneity among ET combined with dysregulation of multiple cellular processes supports the notion that ET is a family of disorders rather than one disease entity.
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Affiliation(s)
- Regina T Martuscello
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center and the New York Presbyterian Hospital, 630 W 168th Street, P&S 15-405, New York, NY, 10032, USA
| | - Karthigayini Sivaprakasam
- Peter O'Donnell Jr. Brain Institute, Department of Neuroscience, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, USA
| | - Whitney Hartstone
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center and the New York Presbyterian Hospital, 630 W 168th Street, P&S 15-405, New York, NY, 10032, USA
| | - Sheng-Han Kuo
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, 650 W 168th Street, BB302, New York, NY, USA
| | - Genevieve Konopka
- Peter O'Donnell Jr. Brain Institute, Department of Neuroscience, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, USA
| | - Elan D Louis
- Department of Neurology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Suite NL9.114, Dallas, TX, USA
| | - Phyllis L Faust
- Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center and the New York Presbyterian Hospital, 630 W 168th Street, P&S 15-405, New York, NY, 10032, USA.
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8
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Liu Y, Li Q, Yan T, Chen H, Wang J, Wang Y, Yang Y, Xiang L, Chi Z, Ren K, Lin B, Lin G, Li J, Liu Y, Gu F. Adenine base editor-mediated splicing remodeling activates noncanonical splice sites. J Biol Chem 2023; 299:105442. [PMID: 37949222 PMCID: PMC10704375 DOI: 10.1016/j.jbc.2023.105442] [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: 05/18/2023] [Revised: 10/15/2023] [Accepted: 10/17/2023] [Indexed: 11/12/2023] Open
Abstract
Adenine base editors (ABEs) are genome-editing tools that have been harnessed to introduce precise A•T to G•C conversion. The discovery of split genes revealed that all introns contain two highly conserved dinucleotides, canonical "AG" (acceptor) and "GT" (donor) splice sites. ABE can directly edit splice acceptor sites of the adenine (A) base, leading to aberrant gene splicing, which may be further adopted to remodel splicing. However, spliced isoforms triggered with ABE have not been well explored. To address it, we initially generated a cell line harboring C-terminal enhanced GFP (eGFP)-tagged β-actin (ACTB), in which the eGFP signal can track endogenous β-actin expression. Expectedly, after the editing of splice acceptor sites, we observed a dramatical decrease in the percentage of eGFP-positive cells and generation of splicing products with the noncanonical splice site. Furthermore, we manipulated Peroxidasin in mouse embryos with ABE, in which a noncanonical acceptor was activated to remodel splicing, successfully generating a mouse disease model of anophthalmia and severely malformed microphthalmia. Collectively, we demonstrate that ABE-mediated splicing remodeling can activate a noncanonical acceptor to manipulate human and mouse genomes, which will facilitate the investigation of basic and translational medicine studies.
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Affiliation(s)
- Yuanyuan Liu
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China; Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, School of Medicine, Engineering Research Center of Reproduction and Translational Medicine of Hunan Province, Hunan Normal University, Changsha, China
| | - Qing Li
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Tong Yan
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China
| | - Haoran Chen
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China
| | - Jiahua Wang
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China
| | - Yingyi Wang
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Yeqin Yang
- School of Nursing, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Lue Xiang
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China
| | - Zailong Chi
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China
| | - Kaiqun Ren
- Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, School of Medicine, Engineering Research Center of Reproduction and Translational Medicine of Hunan Province, Hunan Normal University, Changsha, China
| | - Bin Lin
- School of Optometry, Hong Kong Polytechnic University, Hong Kong, China
| | - Ge Lin
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China; Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, China
| | - Jinsong Li
- State Key Laboratory of Cell Biology, Shanghai Key Laboratory of Molecular Andrology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China; School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Yong Liu
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China.
| | - Feng Gu
- School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, State Key Laboratory and Key Laboratory of Vision Science, Ministry of Health and Zhejiang Provincial Key Laboratory of Ophthalmology and Optometry, Wenzhou, Zhejiang, China; Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, School of Medicine, Engineering Research Center of Reproduction and Translational Medicine of Hunan Province, Hunan Normal University, Changsha, China; Guangxiu Hospital Affiliated with Hunan Normal University (Hunan Guangxiu Hospital), Changsha, China.
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9
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Li H, Sun C, Li Y, Sun H. Analysis of alternative splicing in chicken macrophages transfected with overexpression/knockdown of RIP2 gene. Anim Biotechnol 2023; 34:3855-3866. [PMID: 37466384 DOI: 10.1080/10495398.2023.2233012] [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] [Indexed: 07/20/2023]
Abstract
Receptor-interacting protein 2 (RIP2) plays a critical role in the transduction of many signaling pathways and is associated with many diseases. Alternative splicing (AS) is an essential and ubiquitous regulatory mechanism of gene expression that contributes to distinct transcript variants and many different kinds of proteins. In this present study, we characterized genome-wide AS events in wild-type chicken macrophages (WT) and RIP2 overexpression/knockdown chicken macrophages (oeRIP2/shRIP2) by high-throughput RNA sequencing technology. A total of 1901, 2061, and 817 differentially expressed (DE) AS genes were identified in the comparison of oeRIP2 vs. WT, oeRIP2 vs. shRIP2, and shRIP2 vs. WT, respectively. These DE AS genes participated in many important KEGG pathways, including regulation of autophagy, Wnt signaling pathway, Ubiquitin mediated proteolysis, MAPK signaling pathway, and Focal adhesion, etc. In conclusion, this research provided a broad atlas of the genome-wide scale of the AS event landscape in RIP2 overexpression/knockdown and wild-type chicken macrophages. This research also provides the theoretical basis of the gene network related to RIP2.
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Affiliation(s)
- Huan Li
- School of Biological and Chemical Engineering, Yangzhou Polytechnic College, Yangzhou, China
- Yangzhou Engineering Research Center of Agricultural Products Intelligent Measurement and Control & Cleaner Production, Yangzhou Polytechnic College, Yangzhou, China
| | - Changhua Sun
- School of Biological and Chemical Engineering, Yangzhou Polytechnic College, Yangzhou, China
- Yangzhou Engineering Research Center of Agricultural Products Intelligent Measurement and Control & Cleaner Production, Yangzhou Polytechnic College, Yangzhou, China
| | - Yunlong Li
- School of Biological and Chemical Engineering, Yangzhou Polytechnic College, Yangzhou, China
- Yangzhou Engineering Research Center of Agricultural Products Intelligent Measurement and Control & Cleaner Production, Yangzhou Polytechnic College, Yangzhou, China
| | - Hongyan Sun
- College of Animal Science and Technology, Yangzhou University, Yangzhou, China
- Joint International Research Laboratory of Agriculture & Agri-Product Safety, Ministry of Education, Yangzhou University, Yangzhou, China
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10
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Li A, Bouhss A, Clément MJ, Bauvais C, Taylor JP, Bollot G, Pastré D. Using the structural diversity of RNA: protein interfaces to selectively target RNA with small molecules in cells: methods and perspectives. Front Mol Biosci 2023; 10:1298441. [PMID: 38033386 PMCID: PMC10687564 DOI: 10.3389/fmolb.2023.1298441] [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: 09/21/2023] [Accepted: 10/24/2023] [Indexed: 12/02/2023] Open
Abstract
In recent years, RNA has gained traction both as a therapeutic molecule and as a therapeutic target in several human pathologies. In this review, we consider the approach of targeting RNA using small molecules for both research and therapeutic purposes. Given the primary challenge presented by the low structural diversity of RNA, we discuss the potential for targeting RNA: protein interactions to enhance the structural and sequence specificity of drug candidates. We review available tools and inherent challenges in this approach, ranging from adapted bioinformatics tools to in vitro and cellular high-throughput screening and functional analysis. We further consider two critical steps in targeting RNA/protein interactions: first, the integration of in silico and structural analyses to improve the efficacy of molecules by identifying scaffolds with high affinity, and second, increasing the likelihood of identifying on-target compounds in cells through a combination of high-throughput approaches and functional assays. We anticipate that the development of a new class of molecules targeting RNA: protein interactions to prevent physio-pathological mechanisms could significantly expand the arsenal of effective therapeutic compounds.
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Affiliation(s)
- Aixiao Li
- Synsight, Genopole Entreprises, Evry, France
| | - Ahmed Bouhss
- Université Paris-Saclay, INSERM U1204, Université d’Évry, Structure-Activité des Biomolécules Normales et Pathologiques (SABNP), Evry, France
| | - Marie-Jeanne Clément
- Université Paris-Saclay, INSERM U1204, Université d’Évry, Structure-Activité des Biomolécules Normales et Pathologiques (SABNP), Evry, France
| | | | - J. Paul Taylor
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, United States
| | | | - David Pastré
- Université Paris-Saclay, INSERM U1204, Université d’Évry, Structure-Activité des Biomolécules Normales et Pathologiques (SABNP), Evry, France
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11
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Pino MG, Rich KA, Hall NJ, Jones ML, Fox A, Musier-Forsyth K, Kolb SJ. Heterogeneous splicing patterns resulting from KIF5A variants associated with amyotrophic lateral sclerosis. Hum Mol Genet 2023; 32:3166-3180. [PMID: 37593923 DOI: 10.1093/hmg/ddad134] [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: 04/24/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/19/2023] Open
Abstract
Single-nucleotide variants (SNVs) in the gene encoding Kinesin Family Member 5A (KIF5A), a neuronal motor protein involved in anterograde transport along microtubules, have been associated with amyotrophic lateral sclerosis (ALS). ALS is a rapidly progressive and fatal neurodegenerative disease that primarily affects the motor neurons. Numerous ALS-associated KIF5A SNVs are clustered near the splice-site junctions of the penultimate exon 27 and are predicted to alter the carboxy-terminal (C-term) cargo-binding domain of KIF5A. Mis-splicing of exon 27, resulting in exon exclusion, is proposed to be the mechanism by which these SNVs cause ALS. Whether all SNVs proximal to exon 27 result in exon exclusion is unclear. To address this question, we designed an in vitro minigene splicing assay in human embryonic kidney 293 cells, which revealed heterogeneous site-specific effects on splicing: only 5' splice-site (5'ss) SNVs resulted in exon skipping. We also quantified splicing in select clustered, regularly interspaced, short palindromic repeats-edited human stem cells, differentiated to motor neurons, and in neuronal tissues from a 5'ss SNV knock-in mouse, which showed the same result. Moreover, the survival of representative 3' splice site, 5'ss, and truncated C-term variant KIF5A (v-KIF5A) motor neurons was severely reduced compared with wild-type motor neurons, and overt morphological changes were apparent. While the total KIF5A mRNA levels were comparable across the cell lines, the total KIF5A protein levels were decreased for v-KIF5A lines, suggesting an impairment of protein synthesis or stability. Thus, despite the heterogeneous effect on ribonucleic acid splicing, KIF5A SNVs similarly reduce the availability of the KIF5A protein, leading to axonal transport defects and motor neuron pathology.
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Affiliation(s)
- Megan G Pino
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
- Center for RNA Biology, The Ohio State University, Columbus, OH 43210, United States
- Department of Biological Chemistry & Pharmacology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Kelly A Rich
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Nicholas J Hall
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
- Center for RNA Biology, The Ohio State University, Columbus, OH 43210, United States
| | - Meredith L Jones
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Ashley Fox
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Karin Musier-Forsyth
- Center for RNA Biology, The Ohio State University, Columbus, OH 43210, United States
- Department of Chemistry & Biochemistry, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Stephen J Kolb
- Department of Neurology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
- Center for RNA Biology, The Ohio State University, Columbus, OH 43210, United States
- Department of Biological Chemistry & Pharmacology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
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12
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Sarygina E, Kozlova A, Deinichenko K, Radko S, Ptitsyn K, Khmeleva S, Kurbatov LK, Spirin P, Prassolov VS, Ilgisonis E, Lisitsa A, Ponomarenko E. Principal Component Analysis of Alternative Splicing Profiles Revealed by Long-Read ONT Sequencing in Human Liver Tissue and Hepatocyte-Derived HepG2 and Huh7 Cell Lines. Int J Mol Sci 2023; 24:15502. [PMID: 37958484 PMCID: PMC10648607 DOI: 10.3390/ijms242115502] [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: 09/05/2023] [Revised: 10/12/2023] [Accepted: 10/14/2023] [Indexed: 11/15/2023] Open
Abstract
The long-read RNA sequencing developed by Oxford Nanopore Technology provides a direct quantification of transcript isoforms. That makes the number of transcript isoforms per gene an intrinsically suitable metric for alternative splicing (AS) profiling in the application to this particular type of RNA sequencing. By using this simple metric and recruiting principal component analysis (PCA) as a tool to visualize the high-dimensional transcriptomic data, we were able to group biospecimens of normal human liver tissue and hepatocyte-derived malignant HepG2 and Huh7 cells into clear clusters in a 2D space. For the transcriptome-wide analysis, the clustering was observed regardless whether all genes were included in analysis or only those expressed in all biospecimens tested. However, in the application to a particular set of genes known as pharmacogenes, which are involved in drug metabolism, the clustering worsened dramatically in the latter case. Based on PCA data, the subsets of genes most contributing to biospecimens' grouping into clusters were selected and subjected to gene ontology analysis that allowed us to determine the top 20 biological processes among which translation and processes related to its regulation dominate. The suggested metrics can be a useful addition to the existing metrics for describing AS profiles, especially in application to transcriptome studies with long-read sequencing.
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Affiliation(s)
- Elizaveta Sarygina
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Anna Kozlova
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Kseniia Deinichenko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Sergey Radko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Konstantin Ptitsyn
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Svetlana Khmeleva
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Leonid K. Kurbatov
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Pavel Spirin
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991 Moscow, Russia
| | - Vladimir S. Prassolov
- Department of Cancer Cell Biology, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, 119991 Moscow, Russia
| | - Ekaterina Ilgisonis
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Andrey Lisitsa
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
| | - Elena Ponomarenko
- Institute of Biomedical Chemistry, Pogodinskaya Street 10, 119121 Moscow, Russia; (E.S.); (A.K.); (S.R.)
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13
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Li W, Yu Y, Zhou G, Hu G, Li B, Ma H, Yan W, Pei H. Large-scale ORF screening based on LC-MS to discover novel lncRNA-encoded peptides responding to ionizing radiation and microgravity. Comput Struct Biotechnol J 2023; 21:5201-5211. [PMID: 37928948 PMCID: PMC10624585 DOI: 10.1016/j.csbj.2023.10.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 10/12/2023] [Accepted: 10/18/2023] [Indexed: 11/07/2023] Open
Abstract
In the human genome, 98% of genes can be transcribed into non-coding RNAs (ncRNAs), among which lncRNAs and their encoded peptides play important roles in regulating various aspects of cellular processes and may serve as crucial factors in modulating the biological effects induced by ionizing radiation and microgravity. Unfortunately, there are few reports in space radiation biology on lncRNA-encoded peptides below 10kD due to limitations in detection techniques. To fill this gap, we integrated a variety of methods based on genomics and peptidomics, and discovered 22 lncRNA-encoded small peptides that are sensitive to space radiation and microgravity, which have never been reported before. We concurrently validated the transmembrane helix, subcellular localization, and biological function of these small peptides using bioinformatics and molecular biology techniques. More importantly, we found that these small peptides function independently of the lncRNAs that encode them. Our findings have uncovered a previously unknown human proteome encoded by 'non-coding' genes in response to space conditions and elucidated their involvement in biological processes, providing valuable strategies for individual protection mechanisms for astronauts who carry out deep space exploration missions in space radiation environments.
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Affiliation(s)
- Wanshi Li
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Yongduo Yu
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Guangming Zhou
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Guang Hu
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
- Center for Systems Biology, Soochow University, Suzhou 215123, China
- Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Suzhou 215123, China
| | - Bingyan Li
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Hong Ma
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing 100081, China
| | - Wenying Yan
- Department of Bioinformatics, School of Biology and Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China
- Center for Systems Biology, Soochow University, Suzhou 215123, China
- Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Suzhou 215123, China
| | - Hailong Pei
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Center of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
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14
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Tong H, Yang T, Liu L, Li C, Sun Y, Jia Q, Qin Y, Chen L, Zhao X, Zhou G, Yan S, Li XJ, Li S. Aberrant splicing of mutant huntingtin in Huntington's disease knock-in pigs. Neurobiol Dis 2023; 187:106291. [PMID: 37716514 DOI: 10.1016/j.nbd.2023.106291] [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: 07/27/2023] [Revised: 09/04/2023] [Accepted: 09/11/2023] [Indexed: 09/18/2023] Open
Abstract
Huntington's disease (HD) is an autosomal-dominant inherited neurodegenerative disease caused by a CAG repeat expansion in exon1 of the huntingtin gene (HTT). This expansion leads to the production of N-terminal mutant huntingtin protein (mHtt) that contains an expanded polyglutamine tract, which is toxic to neurons and causes neurodegeneration. While the production of N-terminal mHtt can be mediated by proteolytic cleavage of full-length mHtt, abnormal splicing of exon1-intron1 of mHtt has also been identified in the brains of HD mice and patients. However, the proportion of aberrantly spliced exon1 mHTT in relation to normal mHTT exon remains to be defined. In this study, HTT exon1 production was examined in the HD knock-in (KI) pig model, which more closely recapitulates neuropathology seen in HD patient brains than HD mouse models. The study revealed that aberrant spliced HTT exon1 is also present in the brains of HD pigs, but it is expressed at a much lower level than the normally spliced HTT exon products. These findings suggest that careful consideration is needed when assessing the contribution of aberrantly spliced mHTT exon1 to HD pathogenesis, and further rigorous investigation is required.
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Affiliation(s)
- Huichun Tong
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Tianqi Yang
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Li Liu
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Caijuan Li
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Yize Sun
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Qingqing Jia
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Yiyang Qin
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Laiqiang Chen
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Xianxian Zhao
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Gongke Zhou
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China
| | - Sen Yan
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China.
| | - Xiao-Jiang Li
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China.
| | - Shihua Li
- Guangdong Key Laboratory of Non-human Primate Research, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510632, China.
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15
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Carvalho L, Chen H, Maienschein-Cline M, Glover EJ, Pandey SC, Lasek AW. Conserved role for PCBP1 in altered RNA splicing in the hippocampus after chronic alcohol exposure. Mol Psychiatry 2023; 28:4215-4224. [PMID: 37537282 PMCID: PMC10827656 DOI: 10.1038/s41380-023-02184-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 07/04/2023] [Accepted: 07/07/2023] [Indexed: 08/05/2023]
Abstract
We previously discovered using transcriptomics that rats undergoing withdrawal after chronic ethanol exposure had increased expression of several genes encoding RNA splicing factors in the hippocampus. Here, we examined RNA splicing in the rat hippocampus during withdrawal from chronic ethanol exposure and in postmortem hippocampus of human subjects diagnosed with alcohol use disorder (AUD). We found that expression of the gene encoding the splicing factor, poly r(C) binding protein 1 (PCBP1), was elevated in the hippocampus of rats during withdrawal after chronic ethanol exposure and AUD subjects. We next analyzed the rat RNA-Seq data for differentially expressed (DE) exon junctions. One gene, Hapln2, had increased usage of a novel 3' splice site in exon 4 during withdrawal. This splice site was conserved in human HAPLN2 and was used more frequently in the hippocampus of AUD compared to control subjects. To establish a functional role for PCBP1 in HAPLN2 splicing, we performed RNA immunoprecipitation (RIP) with a PCBP1 antibody in rat and human hippocampus, which showed enriched PCBP1 association near the HAPLN2 exon 4 3' splice site in the hippocampus of rats during ethanol withdrawal and AUD subjects. Our results indicate a conserved role for the splicing factor PCBP1 in aberrant splicing of HAPLN2 after chronic ethanol exposure. As the HAPLN2 gene encodes an extracellular matrix protein involved in nerve conduction velocity, use of this alternative splice site is predicted to result in loss of protein function that could negatively impact hippocampal function in AUD.
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Affiliation(s)
- Luana Carvalho
- Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA.
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA, 23298, USA.
| | - Hu Chen
- Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Mark Maienschein-Cline
- Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA
- Research Informatics Core, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Elizabeth J Glover
- Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Subhash C Pandey
- Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA
- Jesse Brown VA Medical Center, Chicago, IL, 60612, USA
| | - Amy W Lasek
- Center for Alcohol Research in Epigenetics, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA
- Department of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA, 23298, USA
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16
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Xu K, Wu T, Xia P, Chen X, Yuan Y. Alternative splicing: a bridge connecting NAFLD and HCC. Trends Mol Med 2023; 29:859-872. [PMID: 37487782 DOI: 10.1016/j.molmed.2023.07.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/03/2023] [Accepted: 07/04/2023] [Indexed: 07/26/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is becoming the most important risk factor for hepatocellular carcinoma (HCC). Understanding the progression of benign diseases to HCC is crucial for early prevention and reversal of malignant transformation. Alternative splicing (AS) of RNA plays a role in the pathogenicity, initiation, and transformation of liver disease. We summarize the changes or mutations in the activity of splicing factors in NAFLD and HCC, as well as the impact of AS mediated by epigenetic modifications such as DNA methylation, RNA methylation, histone modification, and protein phosphorylation on liver cell fate. We also summarize therapeutic methods and drugs that are helpful for treating NAFLD, HCC, and the early stages of NAFLD progression to HCC.
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Affiliation(s)
- Kequan Xu
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary and Pancreatic Diseases of Hubei Province, Hubei, PR China
| | - Tiangen Wu
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary and Pancreatic Diseases of Hubei Province, Hubei, PR China
| | - Peng Xia
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary and Pancreatic Diseases of Hubei Province, Hubei, PR China
| | - Xi Chen
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary and Pancreatic Diseases of Hubei Province, Hubei, PR China.
| | - Yufeng Yuan
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071, PR China; Clinical Medicine Research Center for Minimally Invasive Procedure of Hepatobiliary and Pancreatic Diseases of Hubei Province, Hubei, PR China; TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, PR China.
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17
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Zhu Z, Huo F, Zhang J, Shan H, Pei D. Crosstalk between m6A modification and alternative splicing during cancer progression. Clin Transl Med 2023; 13:e1460. [PMID: 37850412 PMCID: PMC10583157 DOI: 10.1002/ctm2.1460] [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: 05/30/2023] [Revised: 10/06/2023] [Accepted: 10/11/2023] [Indexed: 10/19/2023] Open
Abstract
Background N6-methyladenosine (m6A), the most prevalent internal mRNA modification in eukaryotes, is added by m6A methyltransferases, removed by m6A demethylases and recognised by m6A-binding proteins. This modification significantly influences carious facets of RNA metabolism and plays a pivotal role in cellular and physiological processes. Main body Pre-mRNA alternative splicing, a process that generates multiple splice isoforms from multi-exon genes, contributes significantly to the protein diversity in mammals. Moreover, the presence of crosstalk between m6A modification and alternative splicing, with m6A modifications on pre-mRNAs exerting regulatory control, has been established. The m6A modification modulates alternative splicing patterns by recruiting specific RNA-binding proteins (RBPs) that regulate alternative splicing or by directly influencing the interaction between RBPs and their target RNAs. Conversely, alternative splicing can impact the deposition or recognition of m6A modification on mRNAs. The integration of m6A modifications has expanded the scope of therapeutic strategies for cancer treatment, while alternative splicing offers novel insights into the mechanistic role of m6A methylation in cancer initiation and progression. Conclusion This review aims to highlight the biological functions of alternative splicing of m6A modification machinery and its implications in tumourigenesis. Furthermore, we discuss the clinical relevance of understanding m6A-dependent alternative splicing in tumour therapies.
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Affiliation(s)
- Zhi‐Man Zhu
- Department of PathologyXuzhou Medical UniversityXuzhouJiangsuChina
| | - Fu‐Chun Huo
- Department of PathologyXuzhou Medical UniversityXuzhouJiangsuChina
| | - Jian Zhang
- Department of Respiratory MedicineSecond Affiliated Hospital of Xuzhou Medical UniversityXuzhouJiangsuChina
| | - Hong‐Jian Shan
- Department of OrthopedicsThe Affiliated Jiangning Hospital with Nanjing Medical UniversityNanjingJiangsuChina
| | - Dong‐Sheng Pei
- Department of PathologyXuzhou Medical UniversityXuzhouJiangsuChina
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18
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Gonçalves M, Santos JI, Coutinho MF, Matos L, Alves S. Development of Engineered-U1 snRNA Therapies: Current Status. Int J Mol Sci 2023; 24:14617. [PMID: 37834063 PMCID: PMC10572768 DOI: 10.3390/ijms241914617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/22/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open
Abstract
Splicing of pre-mRNA is a crucial regulatory stage in the pathway of gene expression. The majority of human genes that encode proteins undergo alternative pre-mRNA splicing and mutations that affect splicing are more prevalent than previously thought. Targeting aberrant RNA(s) may thus provide an opportunity to correct faulty splicing and potentially treat numerous genetic disorders. To that purpose, the use of engineered U1 snRNA (either modified U1 snRNAs or exon-specific U1s-ExSpeU1s) has been applied as a potentially therapeutic strategy to correct splicing mutations, particularly those affecting the 5' splice-site (5'ss). Here we review and summarize a vast panoply of studies that used either modified U1 snRNAs or ExSpeU1s to mediate gene therapeutic correction of splicing defects underlying a considerable number of genetic diseases. We also focus on the pre-clinical validation of these therapeutic approaches both in vitro and in vivo, and summarize the main obstacles that need to be overcome to allow for their successful translation to clinic practice in the future.
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Affiliation(s)
- Mariana Gonçalves
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.G.); (J.I.S.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science, Institute of Sciences, Technologies and Agro-Environment, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculty of Veterinary Medicine, University of Lisboa, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, Inov4Agro, University of Trás-os-Montes and Alto Douro, 5000-801 Vila Real, Portugal
| | - Juliana Inês Santos
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.G.); (J.I.S.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science, Institute of Sciences, Technologies and Agro-Environment, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculty of Veterinary Medicine, University of Lisboa, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
- Biology Department, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Maria Francisca Coutinho
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.G.); (J.I.S.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science, Institute of Sciences, Technologies and Agro-Environment, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculty of Veterinary Medicine, University of Lisboa, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Liliana Matos
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.G.); (J.I.S.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science, Institute of Sciences, Technologies and Agro-Environment, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculty of Veterinary Medicine, University of Lisboa, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Sandra Alves
- Research and Development Unit, Department of Human Genetics, National Institute of Health Doutor Ricardo Jorge, INSA I.P., Rua Alexandre Herculano, 321, 4000-055 Porto, Portugal; (M.G.); (J.I.S.); (M.F.C.); (L.M.)
- Center for the Study of Animal Science, Institute of Sciences, Technologies and Agro-Environment, CECA-ICETA, University of Porto, Praça Gomes Teixeira, Apartado 55142, 4051-401 Porto, Portugal
- Associate Laboratory for Animal and Veterinary Sciences, AL4AnimalS, Faculty of Veterinary Medicine, University of Lisboa, Avenida da Universidade Técnica, 1300-477 Lisboa, Portugal
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19
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Dou Y, Liu Y, Yi X, Olsen LK, Zhu H, Gao Q, Zhou H, Zhang B. SEPepQuant enhances the detection of possible isoform regulations in shotgun proteomics. Nat Commun 2023; 14:5809. [PMID: 37726316 PMCID: PMC10509223 DOI: 10.1038/s41467-023-41558-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 09/06/2023] [Indexed: 09/21/2023] Open
Abstract
Shotgun proteomics is essential for protein identification and quantification in biomedical research, but protein isoform characterization is challenging due to the extensive number of peptides shared across proteins, hindering our understanding of protein isoform regulation and their roles in normal and disease biology. We systematically assess the challenge and opportunities of shotgun proteomics-based protein isoform characterization using in silico and experimental data, and then present SEPepQuant, a graph theory-based approach to maximize isoform characterization. Using published data from one induced pluripotent stem cell study and two human hepatocellular carcinoma studies, we demonstrate the ability of SEPepQuant in addressing the key limitations of existing methods, providing more comprehensive isoform-level characterization, identifying hundreds of isoform-level regulation events, and facilitating streamlined cross-study comparisons. Our analysis provides solid evidence to support a widespread role of protein isoform regulation in normal and disease processes, and SEPepQuant has broad applications to biological and translational research.
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Affiliation(s)
- Yongchao Dou
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Yuejia Liu
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, 138 Xianlin Avenue, 210023, Nanjing, Jiangsu, China
| | - Xinpei Yi
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Lindsey K Olsen
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Hongwen Zhu
- Department of Analytical Chemistry, State Key Laboratory of Drug Research and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, 180 Fenglin Road, 200032, Shanghai, China
| | - Hu Zhou
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, 138 Xianlin Avenue, 210023, Nanjing, Jiangsu, China
- Department of Analytical Chemistry, State Key Laboratory of Drug Research and CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Bing Zhang
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
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20
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Nikom D, Zheng S. Alternative splicing in neurodegenerative disease and the promise of RNA therapies. Nat Rev Neurosci 2023; 24:457-473. [PMID: 37336982 DOI: 10.1038/s41583-023-00717-6] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/02/2023] [Indexed: 06/21/2023]
Abstract
Alternative splicing generates a myriad of RNA products and protein isoforms of different functions from a single gene. Dysregulated alternative splicing has emerged as a new mechanism broadly implicated in the pathogenesis of neurodegenerative diseases such as Alzheimer disease, amyotrophic lateral sclerosis, frontotemporal dementia, Parkinson disease and repeat expansion diseases. Understanding the mechanisms and functional outcomes of abnormal splicing in neurological disorders is vital in developing effective therapies to treat mis-splicing pathology. In this Review, we discuss emerging research and evidence of the roles of alternative splicing defects in major neurodegenerative diseases and summarize the latest advances in RNA-based therapeutic strategies to target these disorders.
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Affiliation(s)
- David Nikom
- Neuroscience Graduate Program, University of California, Riverside, Riverside, CA, USA
- Center for RNA Biology and Medicine, University of California, Riverside, Riverside, CA, USA
| | - Sika Zheng
- Neuroscience Graduate Program, University of California, Riverside, Riverside, CA, USA.
- Center for RNA Biology and Medicine, University of California, Riverside, Riverside, CA, USA.
- Division of Biomedical Sciences, University of California, Riverside, Riverside, CA, USA.
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21
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Covello G, Siva K, Adami V, Denti MA. HCS-Splice: A High-Content Screening Method to Advance the Discovery of RNA Splicing-Modulating Therapeutics. Cells 2023; 12:1959. [PMID: 37566038 PMCID: PMC10417277 DOI: 10.3390/cells12151959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/10/2023] [Accepted: 07/13/2023] [Indexed: 08/12/2023] Open
Abstract
Nucleic acid therapeutics have demonstrated an impressive acceleration in recent years. They work through multiple mechanisms of action, including the downregulation of gene expression and the modulation of RNA splicing. While several drugs based on the former mechanism have been approved, few target the latter, despite the promise of RNA splicing modulation. To improve our ability to discover novel RNA splicing-modulating therapies, we developed HCS-Splice, a robust cell-based High-Content Screening (HCS) assay. By implementing the use of a two-colour (GFP/RFP) fluorescent splicing reporter plasmid, we developed a versatile, effective, rapid, and robust high-throughput strategy for the identification of potent splicing-modulating molecules. The HCS-Splice strategy can also be used to functionally confirm splicing mutations in human genetic disorders or to screen drug candidates. As a proof-of-concept, we introduced a dementia-related splice-switching mutation in the Microtubule-Associated Protein Tau (MAPT) exon 10 splicing reporter. We applied HCS-Splice to the wild-type and mutant reporters and measured the functional change in exon 10 inclusion. To demonstrate the applicability of the method in cell-based drug discovery, HCS-Splice was used to evaluate the efficacy of an exon 10-targeting siRNA, which was able to restore the correct alternative splicing balance.
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Affiliation(s)
- Giuseppina Covello
- RNA Biology and Biotechnology Laboratory, Department of Cellular, Computational and Integrative Biology—CIBIO, University of Trento, 38123 Trento, Italy;
| | - Kavitha Siva
- RNA Biology and Biotechnology Laboratory, Department of Cellular, Computational and Integrative Biology—CIBIO, University of Trento, 38123 Trento, Italy;
| | - Valentina Adami
- High Throughput Screening and Validation Core Facility (HTS), Department of Cellular, Computational and Integrative Biology—CIBIO, University of Trento, 38123 Trento, Italy;
| | - Michela Alessandra Denti
- RNA Biology and Biotechnology Laboratory, Department of Cellular, Computational and Integrative Biology—CIBIO, University of Trento, 38123 Trento, Italy;
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22
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Jung H, Park HJ, Jo SH, Lee A, Lee HJ, Kim HS, Jung C, Cho HS. Nuclear OsFKBP20-1b maintains SR34 stability and promotes the splicing of retained introns upon ABA exposure in rice. THE NEW PHYTOLOGIST 2023; 238:2476-2494. [PMID: 36942934 DOI: 10.1111/nph.18892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 03/16/2023] [Indexed: 05/19/2023]
Abstract
Alternative splicing (AS) is a critical means by which plants respond to changes in the environment, but few splicing factors contributing to AS have been reported and functionally characterized in rice (Oryza sativa L.). Here, we explored the function and molecular mechanism of the spliceosome-associated protein OsFKBP20-1b during AS. We determined the AS landscape of wild-type and osfkbp20-1b knockout plants upon abscisic acid (ABA) treatment by transcriptome deep sequencing. To capture the dynamics of translating intron-containing mRNAs, we blocked transcription with cordycepin and performed polysome profiling. We also analyzed whether OsFKBP20-1b and the splicing factors OsSR34 and OsSR45 function together in AS using protoplast transfection assays. We show that OsFKBP20-1b interacts with OsSR34 and regulates its stability, suggesting a role as a chaperone-like protein in the spliceosome. OsFKBP20-1b facilitates the splicing of mRNAs with retained introns after ABA treatment; some of these mRNAs are translatable and encode functional transcriptional regulators of stress-responsive genes. In addition, interacting proteins, OsSR34 and OsSR45, regulate the splicing of the same retained introns as OsFKBP20-1b after ABA treatment. Our findings reveal that spliceosome-associated immunophilin functions in alternative RNA splicing in rice by positively regulating the splicing of retained introns to limit ABA response.
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Affiliation(s)
- Haemyeong Jung
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, South Korea
| | - Hyun Ji Park
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea
| | - Seung Hee Jo
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, South Korea
| | - Areum Lee
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, South Korea
| | - Hyo-Jun Lee
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea
- Department of Functional Genomics, KRIBB School of Bioscience, UST, Daejeon, 34113, South Korea
| | - Hyun-Soon Kim
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, South Korea
| | - Choonkyun Jung
- Department of International Agricultural Technology and Crop Biotechnology Institute/Green Bio Science and Technology, Seoul National University, Pyeongchang, 25354, South Korea
- Department of Agriculture, Forestry, and Bioresources and Integrated Major in Global Smart Farm, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, South Korea
| | - Hye Sun Cho
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, 34141, South Korea
- Department of Biosystems and Bioengineering, KRIBB School of Biotechnology, University of Science and Technology (UST), Daejeon, 34113, South Korea
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23
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Penna MS, Hu RC, Rodney GG, Cooper TA. The role of Limch1 alternative splicing in skeletal muscle function. Life Sci Alliance 2023; 6:e202201868. [PMID: 36977593 PMCID: PMC10052820 DOI: 10.26508/lsa.202201868] [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: 12/07/2022] [Revised: 03/13/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Postnatal skeletal muscle development is a highly dynamic period associated with widespread alternative splicing changes required to adapt tissues to adult function. These splicing events have significant implications because the reversion of adult mRNA isoforms to fetal isoforms is observed in forms of muscular dystrophy. LIMCH1 is a stress fiber-associated protein that is alternatively spliced to generate uLIMCH1, a ubiquitously expressed isoform, and mLIMCH1, a skeletal muscle-specific isoform containing six additional exons simultaneously included after birth in the mouse. CRISPR/Cas9 was used to delete the six alternatively spliced exons of LIMCH1 in mice, thereby forcing the constitutive expression of the predominantly fetal isoform, uLIMCH1. mLIMCH1 knockout mice had significant grip strength weakness in vivo, and maximum force generated was decreased ex vivo. Calcium-handling deficits were observed during myofiber stimulation that could explain the mechanism by which mLIMCH1 knockout leads to muscle weakness. In addition, LIMCH1 is mis-spliced in myotonic dystrophy type 1, with the muscleblind-like (MBNL) family of proteins acting as the likely major regulator of Limch1 alternative splicing in skeletal muscle.
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Affiliation(s)
- Matthew S Penna
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, USA
| | - Rong-Chi Hu
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
| | - George G Rodney
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
| | - Thomas A Cooper
- Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, USA
- Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular & Cellular Biology, Baylor College of Medicine, Houston, TX, USA
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24
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Li Y, Zhu Q, Zhou S, Chen J, Du A, Qin C. Combined bulk RNA and single-cell RNA analyses reveal TXNL4A as a new biomarker for hepatocellular carcinoma. Front Oncol 2023; 13:1202732. [PMID: 37305572 PMCID: PMC10248245 DOI: 10.3389/fonc.2023.1202732] [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: 04/09/2023] [Accepted: 05/16/2023] [Indexed: 06/13/2023] Open
Abstract
Introduction Hepatocellular carcinoma (HCC) has a high mortality rate worldwide. The dysregulation of RNA splicing is a major event leading to the occurrence, progression, and drug resistance of cancer. Therefore, it is important to identify new biomarkers of HCC from the RNA splicing pathway. Methods We performed the differential expression and prognostic analyses of RNA splicing-related genes (RRGs) using The Cancer Genome Atlas-liver hepatocellular carcinoma (LIHC). The International Cancer Genome Consortium (ICGC)-LIHC dataset was used to construct and validate prognostic models, and the PubMed database was used to explore genes in the models to identify new markers. The screened genes were subjected to genomic analyses, including differential, prognostic, enrichment, and immunocorrelation analyses. Single-cell RNA (scRNA) data were used to further validate the immunogenetic relationship. Results Of 215 RRGs, we identified 75 differentially expressed prognosis-related genes, and a prognostic model incorporating thioredoxin like 4A (TXNL4A) was identified using least absolute shrinkage and selection operator regression analysis. ICGC-LIHC was used as a validation dataset to confirm the validity of the model. PubMed failed to retrieve HCC-related studies on TXNL4A. TXNL4A was highly expressed in most tumors and was associated with HCC survival. Chi-squared analyses indicated that TXNL4A expression positively correlated positively with the clinical features of HCC. Multivariate analyses revealed that high TXNL4A expression was an independent risk factor for HCC. Immunocorrelation and scRNA data analyses indicated that TXNL4A was correlated with CD8 T cell infiltration in HCC. Conclusion Therefore, we identified a prognostic and immune-related marker for HCC from the RNA splicing pathway.
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Affiliation(s)
- Yifan Li
- Department of Gastrointestinal Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Qiaozhen Zhu
- Infection and Immunity Institute and Translational Medical Center, Huaihe Hospital, Kaifeng, Henan, China
| | - Shuchang Zhou
- Department of Gastrointestinal Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Jiangtao Chen
- Department of Gastrointestinal Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Aoyu Du
- Department of Plastic Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
| | - Changjiang Qin
- Department of Gastrointestinal Surgery, Huaihe Hospital of Henan University, Kaifeng, Henan, China
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25
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Zheng Z, Song Y, Tan X. Deciphering hERG Mutation in Long QT Syndrome Type 2 Using Antisense Oligonucleotide-Mediated Techniques: Lessons from Cystic Fibrosis. Heart Rhythm 2023:S1547-5271(23)02180-X. [PMID: 37121422 DOI: 10.1016/j.hrthm.2023.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/18/2023] [Accepted: 04/25/2023] [Indexed: 05/02/2023]
Abstract
Long QT syndrome type 2 (LQT2) is a genetic disorder caused by mutations in the KCNH2 gene, also known as the human ether-a-go-go-related gene (hERG). Over 30% of hERG mutations result in a premature termination codon (PTC) that triggers a process called nonsense-mediated mRNA decay (NMD), where the mRNA transcript is degraded. NMD is a quality control mechanism that removes faulty mRNA to prevent the translation of truncated proteins. Recent advances in antisense oligonucleotide (ASO) technology in the field of cystic fibrosis (CF) have yielded significant progress, including the ASO-mediated comprehensive characterization of key NMD factors and exon-skipping therapy. These advances have contributed to our understanding of the role of PTC-containing mutations in disease phenotypes and have also led to the development of potentially useful therapeutic strategies. Historically, studies of CF have provided valuable insights for the research on LQT2, particularly concerning increasing the expression of hERG. In this article, we outline the current state of knowledge regarding ASO, NMD, and hERG and discuss the introduction of ASO technology in the CF to elucidate the pathogenic mechanisms through targeting NMD. We also discuss the potential clinical therapeutic benefits and limitations of ASO for the management of LQT2. By drawing on lessons learned from CF research, we explore the potential translational values of these advances into LQT2 studies.
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Affiliation(s)
- Zequn Zheng
- Department of Cardiology, Shantou University Medical College, Shantou, China; Department of Cardiology, First Affiliated Hospital of Shantou University Medical College, Shantou, China; Clinical Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
| | - Yongfei Song
- Ningbo Institute for Medicine &Biomedical Engineering Combined Innovation, Ningbo, China
| | - Xuerui Tan
- Department of Cardiology, First Affiliated Hospital of Shantou University Medical College, Shantou, China; Clinical Research Center, First Affiliated Hospital of Shantou University Medical College, Shantou, China.
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26
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Yang SP, Zhu XX, Qu ZX, Chen CY, Wu YB, Wu Y, Luo ZD, Wang XY, He CY, Fang JW, Wang LQ, Hong GL, Zheng ST, Zeng JM, Yan AF, Feng J, Liu L, Zhang XL, Zhang LG, Miao K, Tang DS. Production of MSTN knockout porcine cells using adenine base-editing-mediated exon skipping. In Vitro Cell Dev Biol Anim 2023:10.1007/s11626-023-00763-5. [PMID: 37099179 DOI: 10.1007/s11626-023-00763-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 03/24/2023] [Indexed: 04/27/2023]
Abstract
Gene-knockout pigs have important applications in agriculture and medicine. Compared with CRISPR/Cas9 and cytosine base editing (CBE) technologies, adenine base editing (ABE) shows better safety and accuracy in gene modification. However, because of the characteristics of gene sequences, the ABE system cannot be widely used in gene knockout. Alternative splicing of mRNA is an important biological mechanism in eukaryotes for the formation of proteins with different functional activities. The splicing apparatus recognizes conserved sequences of the 5' end splice donor and 3' end splice acceptor motifs of introns in pre-mRNA that can trigger exon skipping, leading to the production of new functional proteins, or causing gene inactivation through frameshift mutations. This study aimed to construct a MSTN knockout pig by inducing exon skipping with the aid of the ABE system to expand the application of the ABE system for the preparation of knockout pigs. In this study, first, we constructed ABEmaxAW and ABE8eV106W plasmid vectors and found that their editing efficiencies at the targets were at least sixfold and even 260-fold higher than that of ABEmaxAW by contrasting the editing efficiencies at the gene targets of endogenous CD163, IGF2, and MSTN in pigs. Subsequently, we used the ABE8eV106W system to realize adenine base (the base of the antisense strand is thymine) editing of the conserved splice donor sequence (5'-GT) of intron 2 of the porcine MSTN gene. A porcine single-cell clone carrying a homozygous mutation (5'-GC) in the conserved sequence (5'-GT) of the intron 2 splice donor of the MSTN gene was successfully generated after drug selection. Unfortunately, the MSTN gene was not expressed and, therefore, could not be characterized at this level. No detectable genomic off-target edits were identified by Sanger sequencing. In this study, we verified that the ABE8eV106W vector had higher editing efficiency and could expand the editing scope of ABE. Additionally, we successfully achieved the precise modification of the alternative splice acceptor of intron 2 of the porcine MSTN gene, which may provide a new strategy for gene knockout in pigs.
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Affiliation(s)
- Shuai-Peng Yang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, 528225, China
| | - Xiang-Xing Zhu
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, 528225, China.
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China.
| | - Zi-Xiao Qu
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, 528225, China
| | - Cai-Yue Chen
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Yao-Bing Wu
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Yue Wu
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Zi-Dan Luo
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Xin-Yi Wang
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Chu-Yu He
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Jia-Wen Fang
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Ling-Qi Wang
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Guang-Long Hong
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Shu-Tao Zheng
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Jie-Mei Zeng
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Ai-Fen Yan
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Juan Feng
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Lian Liu
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Xiao-Li Zhang
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Li-Gang Zhang
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China
| | - Kai Miao
- Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau SAR, China.
| | - Dong-Sheng Tang
- Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Life Sciences and Engineering, Foshan University, Foshan, 528225, China.
- Gene Editing Technology Center of Guangdong Province, School of Medicine, Foshan University, Foshan, 528225, China.
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27
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Wang J, Su W, Zhang T, Zhang S, Lei H, Ma F, Shi M, Shi W, Xie X, Di C. Aberrant Cyclin D1 splicing in cancer: from molecular mechanism to therapeutic modulation. Cell Death Dis 2023; 14:244. [PMID: 37024471 PMCID: PMC10079974 DOI: 10.1038/s41419-023-05763-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 03/15/2023] [Accepted: 03/21/2023] [Indexed: 04/08/2023]
Abstract
Cyclin D1 (CCND1), a crucial mediator of cell cycle progression, possesses many mutation types with different mutation frequencies in human cancers. The G870A mutation is the most common mutation in CCND1, which produces two isoforms: full-length CCND1a and divergent C-terminal CCND1b. The dysregulation of the CCND1 isoforms is associated with multiple human cancers. Exploring the molecular mechanism of CCND1 isoforms has offer new insight for cancer treatment. On this basis, the alterations of CCND1 gene are described, including amplification, overexpression, and mutation, especially the G870A mutation. Subsequently, we review the characteristics of CCND1 isoforms caused by G870A mutation. Additionally, we summarize cis-regulatory elements, trans-acting factors, and the splice mutation involved in splicing regulation of CCND1. Furthermore, we highlight the function of CCND1 isoforms in cell cycle, invasion, and metastasis in cancers. Importantly, the clinical role of CCND1 isoforms is also discussed, particularly concerning prognosis, chemotherapy, and radiotherapy. Last, emphasis is given to the corrective strategies that modulate the cancerous CCND1 isoforms. Thus, it is highlighting significance of aberrant isoforms of CCND1 as targets for cancer therapy.
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Affiliation(s)
- Jing Wang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Wei Su
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Taotao Zhang
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Shasha Zhang
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Huiwen Lei
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Fengdie Ma
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Maoning Shi
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Wenjing Shi
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Xiaodong Xie
- School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
| | - Cuixia Di
- Bio-Medical Research Center, Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
- Key Laboratory of Heavy Ion Radiation Biology and Medicine of Chinese Academy of Sciences, Lanzhou, 730000, China.
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 101408, China.
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28
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Pandey RS, Kotredes KP, Sasner M, Howell GR, Carter GW. Differential splicing of neuronal genes in a Trem2*R47H mouse model mimics alterations associated with Alzheimer's disease. BMC Genomics 2023; 24:172. [PMID: 37016304 PMCID: PMC10074678 DOI: 10.1186/s12864-023-09280-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/29/2023] [Indexed: 04/06/2023] Open
Abstract
BACKGROUND Molecular characterization of late-onset Alzheimer's disease (LOAD), the leading cause of age-related dementia, has revealed transcripts, proteins, and pathway alterations associated with disease. Assessing these postmortem signatures of LOAD in experimental model systems can further elucidate their relevance to disease origins and progression. Model organisms engineered with human genetic factors further link these signatures to disease-associated variants, especially when studies are designed to leverage homology across species. Here we assess differential gene splicing patterns in aging mouse models carrying humanized APOE4 and/or the Trem2*R47H variant on a C57BL/6J background. We performed a differential expression of gene (DEG) and differential splicing analyses on whole brain transcriptomes at multiple ages. To better understand the difference between differentially expressed and differentially spliced genes, we evaluated enrichment of KEGG pathways and cell-type specific gene signatures of the adult brain from each alteration type. To determine LOAD relevance, we compared differential splicing results from mouse models with multiple human AD splicing studies. RESULTS We found that differentially expressed genes in Trem2*R47H mice were significantly enriched in multiple AD-related pathways, including immune response, osteoclast differentiation, and metabolism, whereas differentially spliced genes were enriched for neuronal related functions, including GABAergic synapse and glutamatergic synapse. These results were reinforced by the enrichment of microglial genes in DEGs and neuronal genes in differentially spliced genes in Trem2*R47H mice. We observed significant overlap between differentially spliced genes in Trem2*R47H mice and brains from human AD subjects. These effects were absent in APOE4 mice and suppressed in APOE4.Trem2*R47H double mutant mice relative to Trem2*R47H mice. CONCLUSIONS The cross-species observation that alternative splicing observed in LOAD are present in Trem2*R47H mouse models suggests a novel link between this candidate risk gene and molecular signatures of LOAD in neurons and demonstrates how deep molecular analysis of new genetic models links molecular disease outcomes to a human candidate gene.
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Affiliation(s)
- Ravi S Pandey
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA
| | - Kevin P Kotredes
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Michael Sasner
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Gareth R Howell
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA
| | - Gregory W Carter
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Drive, Farmington, CT, 06032, USA.
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME, 04609, USA.
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29
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Hu Y, Gouru A, Wang K. DELongSeq for efficient detection of differential isoform expression from long-read RNA-seq data. NAR Genom Bioinform 2023; 5:lqad019. [PMID: 36879902 PMCID: PMC9985341 DOI: 10.1093/nargab/lqad019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 01/12/2023] [Accepted: 02/16/2023] [Indexed: 03/07/2023] Open
Abstract
Conventional gene expression quantification approaches, such as microarrays or quantitative PCR, have similar variations of estimates for all genes. However, next-generation short-read or long-read sequencing use read counts to estimate expression levels with much wider dynamic ranges. In addition to the accuracy of estimated isoform expression, efficiency, which measures the degree of estimation uncertainty, is also an important factor for downstream analysis. Instead of read count, we present DELongSeq, which employs information matrix of EM algorithm to quantify uncertainty of isoform expression estimates to improve estimation efficiency. DELongSeq uses random-effect regression model for the analysis of DE isoform, in that within-study variation represents variable precision in isoform expression estimation and between-study variation represents variation in isoform expression levels across samples. More importantly, DELongSeq allows 1 case versus 1 control comparison of differential expression, which has specific application scenarios in precision medicine (such as before versus after treatment, or tumor versus stromal tissues). Through extensive simulations and analysis of several RNA-Seq datasets, we show that the uncertainty quantification approach is computationally reliable, and can improve the power of differential expression (DE) analysis of isoforms or genes. In summary, DELongSeq allows for efficient detection of differential isoform/gene expression from long-read RNA-Seq data.
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Affiliation(s)
- Yu Hu
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Anagha Gouru
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kai Wang
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Shi X, Won M, Tang C, Ding Q, Sharma A, Wang F, Kim JS. RNA splicing based on reporter genes system: Detection, imaging and applications. Coord Chem Rev 2023. [DOI: 10.1016/j.ccr.2022.214929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Horn T, Gosliga A, Li C, Enculescu M, Legewie S. Position-dependent effects of RNA-binding proteins in the context of co-transcriptional splicing. NPJ Syst Biol Appl 2023; 9:1. [PMID: 36653378 PMCID: PMC9849329 DOI: 10.1038/s41540-022-00264-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 12/08/2022] [Indexed: 01/19/2023] Open
Abstract
Alternative splicing is an important step in eukaryotic mRNA pre-processing which increases the complexity of gene expression programs, but is frequently altered in disease. Previous work on the regulation of alternative splicing has demonstrated that splicing is controlled by RNA-binding proteins (RBPs) and by epigenetic DNA/histone modifications which affect splicing by changing the speed of polymerase-mediated pre-mRNA transcription. The interplay of these different layers of splicing regulation is poorly understood. In this paper, we derived mathematical models describing how splicing decisions in a three-exon gene are made by combinatorial spliceosome binding to splice sites during ongoing transcription. We additionally take into account the effect of a regulatory RBP and find that the RBP binding position within the sequence is a key determinant of how RNA polymerase velocity affects splicing. Based on these results, we explain paradoxical observations in the experimental literature and further derive rules explaining why the same RBP can act as inhibitor or activator of cassette exon inclusion depending on its binding position. Finally, we derive a stochastic description of co-transcriptional splicing regulation at the single-cell level and show that splicing outcomes show little noise and follow a binomial distribution despite complex regulation by a multitude of factors. Taken together, our simulations demonstrate the robustness of splicing outcomes and reveal that quantitative insights into kinetic competition of co-transcriptional events are required to fully understand this important mechanism of gene expression diversity.
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Affiliation(s)
- Timur Horn
- grid.424631.60000 0004 1794 1771Institute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany
| | - Alison Gosliga
- grid.424631.60000 0004 1794 1771Institute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany ,grid.5719.a0000 0004 1936 9713University of Stuttgart, Department of Systems Biology and Stuttgart Research Center Systems Biology (SRCSB), Allmandring 31, 70569 Stuttgart, Germany
| | - Congxin Li
- grid.5719.a0000 0004 1936 9713University of Stuttgart, Department of Systems Biology and Stuttgart Research Center Systems Biology (SRCSB), Allmandring 31, 70569 Stuttgart, Germany
| | - Mihaela Enculescu
- Institute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany.
| | - Stefan Legewie
- Institute of Molecular Biology (IMB), Ackermannweg 4, 55128, Mainz, Germany. .,University of Stuttgart, Department of Systems Biology and Stuttgart Research Center Systems Biology (SRCSB), Allmandring 31, 70569, Stuttgart, Germany.
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32
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Zhang X, Yin X, Zhang L, Ye Z, Liang G. Identification of drug targets and prognosis projection for uterine carcinosarcoma based on alternative splicing events. Comput Biol Med 2023; 152:106346. [PMID: 36470146 DOI: 10.1016/j.compbiomed.2022.106346] [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: 09/07/2022] [Revised: 11/04/2022] [Accepted: 11/22/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND Uterine carcinosarcoma (UCS) is an invasive variant of endometrial cancer. The complicated heterogeneity and low frequency of UCS suggest the relevant research is lack. There is an urgent need to further explore the pathogenic mechanism and identify new biomarkers of UCS from different angels to improve its diagnosis and prognosis. OBJECTIVE This study is to explore the importance of alternative splicing (AS) events in UCS, construct AS-based prognosis model and excavate key splicing factors (SFs). METHOD UCS related gene transcriptome data and AS events data were collected from The Cancer Genome Atlas (TCGA) and TCGA SpliceSeq database. The AS events related to survival were determined by Cox regression analysis, Least absolute shrinkage and selection operator (Lasso) regression analysis and optimal subset analysis. The corresponding risk score was calculated and its efficiency on prognosis was evaluated by Kaplan-Meier (K-M) survival estimate and validated by the receiver operating characteristic (ROC) curve. The prognosis model was constructed with risk score and clinic characters as independent variables to predict patients' survival. On the other hand, Kendall test was applied to inspect the correlation between the SFs and the prognosis-related AS events and a AS-SF network was constructed. Finally, the key SFs were screened through network nodes analysis and survival analysis. RESULT Seven AS events the most related to survival were detected and the risk score was obtained. K-M survival estimate and ROC curve validation suggested the risk score was effective. Then Cox model was constructed based on the risk score and a nomogram model was obtained which provided the highest prediction accuracy of 95%. Through the AS-SF network analysis, 16 SFs were screened, among which four survival-related SFs were eventually obtained. CONCLUSION The prognosis model could predict the survival rate of UCS patients by their clinical characters and AS-based risk score. And four newly discovered SFs could reveal the molecular mechanism of UCS and act as the potential drug targets and prognosis biomarkers.
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Affiliation(s)
- Xu Zhang
- School of Mathematics and Statistics, Southwest University, Chongqing, China
| | - Xiaofeng Yin
- School of Mathematics and Statistics, Southwest University, Chongqing, China
| | - Lichao Zhang
- School of Intelligent Manufacturing and Equipment, Shenzhen Institute of Information Technology, Shenzhen, China
| | - Zhiqiang Ye
- School of Elementary Education, Chongqing Normal University, Chongqing, China
| | - Guangmin Liang
- School of Electronic and Communication Engineering, Shenzhen Polytechnic, Shenzhen, China.
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Gallicchio L, Olivares GH, Berry CW, Fuller MT. Regulation and function of alternative polyadenylation in development and differentiation. RNA Biol 2023; 20:908-925. [PMID: 37906624 PMCID: PMC10730144 DOI: 10.1080/15476286.2023.2275109] [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] [Accepted: 10/17/2023] [Indexed: 11/02/2023] Open
Abstract
Alternative processing of nascent mRNAs is widespread in eukaryotic organisms and greatly impacts the output of gene expression. Specifically, alternative cleavage and polyadenylation (APA) is a co-transcriptional molecular process that switches the polyadenylation site (PAS) at which a nascent mRNA is cleaved, resulting in mRNA isoforms with different 3'UTR length and content. APA can potentially affect mRNA translation efficiency, localization, stability, and mRNA seeded protein-protein interactions. APA naturally occurs during development and cellular differentiation, with around 70% of human genes displaying APA in particular tissues and cell types. For example, neurons tend to express mRNAs with long 3'UTRs due to preferential processing at PASs more distal than other PASs used in other cell types. In addition, changes in APA mark a variety of pathological states, including many types of cancer, in which mRNAs are preferentially cleaved at more proximal PASs, causing expression of mRNA isoforms with short 3'UTRs. Although APA has been widely reported, both the function of APA in development and the mechanisms that regulate the choice of 3'end cut sites in normal and pathogenic conditions are still poorly understood. In this review, we summarize current understanding of how APA is regulated during development and cellular differentiation and how the resulting change in 3'UTR content affects multiple aspects of gene expression. With APA being a widespread phenomenon, the advent of cutting-edge scientific techniques and the pressing need for in-vivo studies, there has never been a better time to delve into the intricate mechanisms of alternative cleavage and polyadenylation.
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Affiliation(s)
- Lorenzo Gallicchio
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, USA
| | - Gonzalo H. Olivares
- Escuela de Kinesiología, Facultad de Medicina y Ciencias de la Salud, Center for Integrative Biology (CIB), Universidad Mayor, Chile and Department of Neuroscience, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | | | - Margaret T. Fuller
- Department of Developmental Biology, Stanford University School of Medicine, Stanford, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, USA
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Boudreault S, Martineau CA, Faucher-Giguère L, Abou-Elela S, Lemay G, Bisaillon M. Reovirus μ2 Protein Impairs Translation to Reduce U5 snRNP Protein Levels. Int J Mol Sci 2022; 24:ijms24010727. [PMID: 36614170 PMCID: PMC9821451 DOI: 10.3390/ijms24010727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Mammalian orthoreovirus (MRV) is a double-stranded RNA virus from the Reoviridae family that infects a large range of mammals, including humans. Recently, studies have shown that MRV alters cellular alternative splicing (AS) during viral infection. The structural protein μ2 appears to be the main determinant of these AS modifications by decreasing the levels of U5 core components EFTUD2, PRPF8, and SNRNP200 during infection. In the present study, we investigated the mechanism by which μ2 exerts this effect on the U5 components. Our results revealed that μ2 has no impact on steady-state mRNA levels, RNA export, and protein stability of these U5 snRNP proteins. However, polysome profiling and metabolic labeling of newly synthesized proteins revealed that μ2 exerts an inhibitory effect on global translation. Moreover, we showed that μ2 mutants unable to accumulate in the nucleus retain most of the ability to reduce PRPF8 protein levels, indicating that the effect of μ2 on U5 snRNP components mainly occurs in the cytoplasm. Finally, co-expression experiments demonstrated that μ2 suppresses the expression of U5 snRNP proteins in a dose-dependent manner, and that the expression of specific U5 snRNP core components have different sensitivities to μ2's presence. Altogether, these results suggest a novel mechanism by which the μ2 protein reduces the levels of U5 core components through translation inhibition, allowing this viral protein to alter cellular AS during infection.
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Affiliation(s)
- Simon Boudreault
- Département de Biochimie et Génomique Fonctionnelle, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Carole-Anne Martineau
- Département de Biochimie et Génomique Fonctionnelle, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Laurence Faucher-Giguère
- Département de Microbiologie et Infectiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Sherif Abou-Elela
- Département de Microbiologie et Infectiologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
| | - Guy Lemay
- Département de Microbiologie, Infectiologie et Immunologie, Faculté de Médecine, Université de Montréal, Montréal, QC H3C 3J7, Canada
| | - Martin Bisaillon
- Département de Biochimie et Génomique Fonctionnelle, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, QC J1E 4K8, Canada
- Correspondence: ; Tel.: +1-819-821-8000 (ext. 75904)
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Miao H, Wu F, Li Y, Qin C, Zhao Y, Xie M, Dai H, Yao H, Cai H, Wang Q, Song X, Li L. MALAT1 modulates alternative splicing by cooperating with the splicing factors PTBP1 and PSF. SCIENCE ADVANCES 2022; 8:eabq7289. [PMID: 36563164 PMCID: PMC9788761 DOI: 10.1126/sciadv.abq7289] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
Understanding how long noncoding RNAs (lncRNAs) cooperate with splicing factors (SFs) in alternative splicing (AS) control is fundamental to human biology and disease. We show that metastasis-associated lung adenocarcinoma transcript 1 (MALAT1), a well-documented AS-implicated lncRNA, regulates AS via two SFs, polypyrimidine tract-binding protein 1 (PTBP1) and PTB-associated SF (PSF). MALAT1 stabilizes the interaction between PTBP1 and PSF, thereby forming a functional module that affects a network of AS events. The MALAT1-stabilized PTBP1/PSF interaction occurs in multiple cellular contexts; however, the functional module, relative to MALAT1 only, has more dominant pathological significance in hepatocellular carcinoma. MALAT1 also stabilizes the PSF interaction with several heterogeneous nuclear ribonucleoparticle proteins other than PTBP1, hinting a broad role in AS control. We present a model in which MALAT1 cooperates with distinct SFs for AS regulation and pose that, relative to analyses exclusively performed for lncRNAs, a comprehensive consideration of lncRNAs and their binding partners may provide more information about their biological functions.
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Affiliation(s)
- Hui Miao
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
- Department of Platform and Technology, lncTAC Company Limited, Chengdu, Sichuan 610219, China
| | - Fan Wu
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
- Department of Platform and Technology, lncTAC Company Limited, Chengdu, Sichuan 610219, China
| | - Yu Li
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Chenyu Qin
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Yongyun Zhao
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Mingfeng Xie
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Hongyuan Dai
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Hong Yao
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
- Department of Platform and Technology, lncTAC Company Limited, Chengdu, Sichuan 610219, China
| | - Haoyang Cai
- Center of Growth, Metabolism and Aging, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Qianhong Wang
- The First Accredited Outpatient Department of Western General Hospital, Chengdu, Sichuan 610091, China
| | - Xu Song
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
| | - Ling Li
- Center for Functional Genomics and Bioinformatics, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan 610064, China
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Huang W, Zhang L, Zhu Y, Chen J, Zhu Y, Lin F, Chen X, Huang J. A genetic screen in Arabidopsis reveals the identical roles for RBP45d and PRP39a in 5' cryptic splice site selection. FRONTIERS IN PLANT SCIENCE 2022; 13:1086506. [PMID: 36618610 PMCID: PMC9813592 DOI: 10.3389/fpls.2022.1086506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/02/2022] [Indexed: 06/17/2023]
Abstract
Cryptic splice sites in eukaryotic genome are generally dormant unless activated by mutation of authentic splice sites or related splicing factors. How cryptic splice sites are used remains unclear in plants. Here, we identified two cryptic splicing regulators, RBP45d and PRP39a that are homologs of yeast U1 auxiliary protein Nam8 and Prp39, respectively, via genetic screening for suppressors of the virescent sot5 mutant, which results from a point mutation at the 5' splice site (5' ss) of SOT5 intron 7. Loss-of-function mutations in RBP45d and PRP39a significantly increase the level of a cryptically spliced variant that encodes a mutated but functional sot5 protein, rescuing sot5 to the WT phenotype. We furtherly demonstrated that RBP45d and PRP39a interact with each other and also with the U1C, a core subunit of U1 snRNP. We found that RBP45d directly binds to the uridine (U)-rich RNA sequence downstream the 5' ss of SOT5 intron 7. However, other RBP45/47 members do not function redundantly with RBP45d, at least in regulation of cryptic splicing. Taken together, RBP45d promotes U1 snRNP to recognize the specific 5' ss via binding to intronic U-rich elements in plants.
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Affiliation(s)
- Weihua Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Liqun Zhang
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Yajuan Zhu
- Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jingli Chen
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Yawen Zhu
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Fengru Lin
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Xiaomei Chen
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jirong Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, Development Center of Plant Germplasm Resources, College of Life Sciences, Shanghai Normal University, Shanghai, China
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He Q, Yang C, Xiang Z, Huang G, Wu H, Chen T, Dou R, Song J, Han L, Song T, Wang S, Xiong B. LINC00924-induced fatty acid metabolic reprogramming facilitates gastric cancer peritoneal metastasis via hnRNPC-regulated alternative splicing of Mnk2. Cell Death Dis 2022; 13:987. [PMID: 36418856 PMCID: PMC9684446 DOI: 10.1038/s41419-022-05436-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/25/2022]
Abstract
The molecular mechanism underlying gastric cancer (GC) peritoneal metastasis (PM) remains unclear. Here, we identified LINC00924 as a GC PM-related lncRNA through Microarray sequencing. LINC00924 was highly expressed in GC, and its high expression is associated with a broad range of PM. Via RNA sequencing, RNA pulldown assay, mass spectrometry, Seahorse, Lipidomics, spheroid formation and cell viability assays, we found that LINC00924 promoted fatty acid (FA) oxidation (FAO) and FA uptake, which was essential for matrix-detached GC cell survival and spheroid formation. Regarding the mechanism, LINC00924 regulated the alternative splicing (AS) of Mnk2 pre-mRNA by binding to hnRNPC. Specifically, LINC00924 enhanced the binding of hnRNPC to Mnk2 pre-mRNA at e14a, thus downregulating Mnk2a splicing and regulating the p38 MAPK/PPARα signaling pathway. Collectively, our results demonstrate that LINC00924 plays a role in promoting GC PM and could serve as a drug target.
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Affiliation(s)
- Qiuming He
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Chaogang Yang
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Zhenxian Xiang
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Guoquan Huang
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Haitao Wu
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Tingna Chen
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Rongzhang Dou
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Jialing Song
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Lei Han
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - TianTian Song
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Shuyi Wang
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
| | - Bin Xiong
- grid.413247.70000 0004 1808 0969Department of Gastrointestinal Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,grid.413247.70000 0004 1808 0969Department of Gastric and Colorectal Surgical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China ,Hubei Key Laboratory of Tumor Biological Behaviors, Wuhan, 430071 China ,Hubei Cancer Clinical Study Center, Wuhan, 430071 China
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Bryant C, Webb A, Banks AS, Chandler D, Govindarajan R, Agrawal S. Alternatively Spliced Landscape of PPARγ mRNA in Podocytes Is Distinct from Adipose Tissue. Cells 2022; 11:cells11213455. [PMID: 36359851 PMCID: PMC9653906 DOI: 10.3390/cells11213455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/13/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022] Open
Abstract
Podocytes are highly differentiated epithelial cells, and their structural and functional integrity is compromised in a majority of glomerular and renal diseases, leading to proteinuria, chronic kidney disease, and kidney failure. Traditional agonists (e.g., pioglitazone) and selective modulators (e.g., GQ-16) of peroxisome-proliferator-activated-receptor-γ (PPARγ) reduce proteinuria in animal models of glomerular disease and protect podocytes from injury via PPARγ activation. This indicates a pivotal role for PPARγ in maintaining glomerular function through preservation of podocytes distinct from its well-understood role in driving insulin sensitivity and adipogenesis. While its transcriptional role in activating adipokines and adipogenic genes is well-established in adipose tissue, liver and muscle, understanding of podocyte PPARγ signaling remains limited. We performed a comprehensive analysis of PPARγ mRNA variants due to alternative splicing, in human podocytes and compared with adipose tissue. We found that podocytes express the ubiquitous PPARγ Var 1 (encoding γ1) and not Var2 (encoding γ2), which is mostly restricted to adipose tissue and liver. Additionally, we detected expression at very low level of Var4, and barely detectable levels of other variants, Var3, Var11, VartORF4 and Var9, in podocytes. Furthermore, a distinct podocyte vs. adipocyte PPAR-promoter-response-element containing gene expression, enrichment and pathway signature was observed, suggesting differential regulation by podocyte specific PPARγ1 variant, distinct from the adipocyte-specific γ2 variant. In summary, podocytes and glomeruli express several PPARγ variants, including Var1 (γ1) and excluding adipocyte-specific Var2 (γ2), which may have implications in podocyte specific signaling and pathophysiology. This suggests that that new selective PPARγ modulators can be potentially developed that will be able to distinguish between the two forms, γ1 and γ2, thus forming a basis of novel targeted therapeutic avenues.
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Affiliation(s)
- Claire Bryant
- Center for Clinical and Translational Research, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA
| | - Amy Webb
- Department of Bioinformatics, The Ohio State University, Columbus, OH 43210, USA
| | - Alexander S. Banks
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Dawn Chandler
- Center for Childhood Cancer and Blood Disease, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Rajgopal Govindarajan
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA
- Translational Therapeutics, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Shipra Agrawal
- Center for Clinical and Translational Research, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
- Division of Nephrology and Hypertension, Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY 11794, USA
- Correspondence:
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IL-17D-induced inhibition of DDX5 expression in keratinocytes amplifies IL-36R-mediated skin inflammation. Nat Immunol 2022; 23:1577-1587. [PMID: 36271146 DOI: 10.1038/s41590-022-01339-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 09/14/2022] [Indexed: 11/08/2022]
Abstract
Aberrant RNA splicing in keratinocytes drives inflammatory skin disorders. In the present study, we found that the RNA helicase DDX5 was downregulated in keratinocytes from the inflammatory skin lesions in patients with atopic dermatitis and psoriasis, and that mice with keratinocyte-specific deletion of Ddx5 (Ddx5∆KC) were more susceptible to cutaneous inflammation. Inhibition of DDX5 expression in keratinocytes was induced by the cytokine interleukin (IL)-17D through activation of the CD93-p38 MAPK-AKT-SMAD2/3 signaling pathway and led to pre-messenger RNA splicing events that favored the production of membrane-bound, intact IL-36 receptor (IL-36R) at the expense of soluble IL-36R (sIL-36R) and to the selective amplification of IL-36R-mediated inflammatory responses and cutaneous inflammation. Restoration of sIL-36R in Ddx5∆KC mice with experimental atopic dermatitis or psoriasis suppressed skin inflammation and alleviated the disease phenotypes. These findings indicate that IL-17D modulation of DDX5 expression controls inflammation in keratinocytes during inflammatory skin diseases.
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The RNA m 6A writer WTAP in diseases: structure, roles, and mechanisms. Cell Death Dis 2022; 13:852. [PMID: 36207306 PMCID: PMC9546849 DOI: 10.1038/s41419-022-05268-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/11/2022] [Accepted: 09/14/2022] [Indexed: 11/05/2022]
Abstract
N6-methyladenosine (m6A) is a widely investigated RNA modification in studies on the "epigenetic regulation" of mRNAs that is ubiquitously present in eukaryotes. Abnormal changes in m6A levels are closely related to the regulation of RNA metabolism, heat shock stress, tumor occurrence, and development. m6A modifications are catalyzed by the m6A writer complex, which contains RNA methyltransferase-like 3 (METTL3), methyltransferase-like 14 (METTL14), Wilms tumor 1-associated protein (WTAP), and other proteins with methyltransferase (MTase) capability, such as RNA-binding motif protein 15 (RBM15), KIAA1429 and zinc finger CCCH-type containing 13 (ZC3H13). Although METTL3 is the main catalytic subunit, WTAP is a regulatory subunit whose function is to recruit the m6A methyltransferase complex to the target mRNA. Specifically, WTAP is required for the accumulation of METTL3 and METTL14 in nuclear speckles. In this paper, we briefly introduce the molecular mechanism of m6A modification. Then, we focus on WTAP, a component of the m6A methyltransferase complex, and introduce its structure, localization, and physiological functions. Finally, we describe its roles and mechanisms in cancer.
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Wang Z, Zhu L, Li K, Sun Y, Giamas G, Stebbing J, Peng L, Yu Z. Alternative splicing events in tumor immune infiltration in renal clear cell carcinomas. Cancer Gene Ther 2022; 29:1418-1428. [PMID: 35370291 DOI: 10.1038/s41417-022-00426-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/23/2021] [Accepted: 01/07/2022] [Indexed: 11/09/2022]
Abstract
Alternative splicing (AS) is a gene regulatory mechanism that drives protein diversity and dysregulation of AS plays a significant role in tumorigenesis. This study aimed to develop a prognostic signature based on AS and elucidate the role in tumor immune microenvironment (TIME) in clear cell renal cell carcinoma (ccRCC). The prognosis-related AS events were analyzed by univariate Cox regression analysis. Gene set enrichment analyses (GSEA) were performed for functional annotation. Prognostic signatures were identified and validated using univariate and multivariate Cox regression, LASSO regression, Kaplan-Meier survival analysis, and proportional hazards model. The context of TIME in ccRCC was also analyzed. Gene and protein expression data of C4orf19 were obtained from ONCOMINE website and Human Protein Altas. Splicing factors (SFs) regulatory networks were visualized. 4431 survival-related AS events in ccRCC were screened. Based on splicing subtypes, eight AS prognostic signatures were constructed. A nomogram with good prognostic prediction was generated. Furthermore, the prognostic signatures were significantly correlated with TIME diversity and immune checkpoint inhibitor (ICI)-related genes. C4orf19 was the only gene whose expression levels were downregulated among the prognostic AS-related genes, which is considered as a promising prognostic factor in ccRCC. Potential functions of SFs were determined by splicing regulatory networks. In our study, AS patterns of novel indicators for prognostic prediction of ccRCC were explored. The AS-SF networks provide information of regulatory mechanisms. Players of AS events related to TIME were investigated, which contribute to prognosis monitoring of ccRCC.
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Affiliation(s)
- Zhiqiang Wang
- Department of Urology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, Shandong Province, China
| | - Liping Zhu
- Department of Medical Oncology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, Shandong Province, China
| | - Kesang Li
- Department of Hematology and Oncology, Hwa Mei Hospital, University of Chinese Academy of Sciences, Ningbo, 315000, Zhejiang Province, China
| | - Yilan Sun
- Department of Respiratory Disease, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, China
| | - Georgios Giamas
- Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Brighton, UK
| | - Justin Stebbing
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, London, UK
| | - Ling Peng
- Department of Respiratory Disease, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
| | - Zhentao Yu
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
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Zhu L, Choudhary K, Gonzalez-Teran B, Ang YS, Thomas R, Stone NR, Liu L, Zhou P, Zhu C, Ruan H, Huang Y, Jin S, Pelonero A, Koback F, Padmanabhan A, Sadagopan N, Hsu A, Costa MW, Gifford CA, van Bemmel J, Hüttenhain R, Vedantham V, Conklin BR, Black BL, Bruneau BG, Steinmetz L, Krogan NJ, Pollard KS, Srivastava D. Transcription Factor GATA4 Regulates Cell Type-Specific Splicing Through Direct Interaction With RNA in Human Induced Pluripotent Stem Cell-Derived Cardiac Progenitors. Circulation 2022; 146:770-787. [PMID: 35938400 PMCID: PMC9452483 DOI: 10.1161/circulationaha.121.057620] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
BACKGROUND GATA4 (GATA-binding protein 4), a zinc finger-containing, DNA-binding transcription factor, is essential for normal cardiac development and homeostasis in mice and humans, and mutations in this gene have been reported in human heart defects. Defects in alternative splicing are associated with many heart diseases, yet relatively little is known about how cell type- or cell state-specific alternative splicing is achieved in the heart. Here, we show that GATA4 regulates cell type-specific splicing through direct interaction with RNA and the spliceosome in human induced pluripotent stem cell-derived cardiac progenitors. METHODS We leveraged a combination of unbiased approaches including affinity purification of GATA4 and mass spectrometry, enhanced cross-linking with immunoprecipitation, electrophoretic mobility shift assays, in vitro splicing assays, and unbiased transcriptomic analysis to uncover GATA4's novel function as a splicing regulator in human induced pluripotent stem cell-derived cardiac progenitors. RESULTS We found that GATA4 interacts with many members of the spliceosome complex in human induced pluripotent stem cell-derived cardiac progenitors. Enhanced cross-linking with immunoprecipitation demonstrated that GATA4 also directly binds to a large number of mRNAs through defined RNA motifs in a sequence-specific manner. In vitro splicing assays indicated that GATA4 regulates alternative splicing through direct RNA binding, resulting in functionally distinct protein products. Correspondingly, knockdown of GATA4 in human induced pluripotent stem cell-derived cardiac progenitors resulted in differential alternative splicing of genes involved in cytoskeleton organization and calcium ion import, with functional consequences associated with the protein isoforms. CONCLUSIONS This study shows that in addition to its well described transcriptional function, GATA4 interacts with members of the spliceosome complex and regulates cell type-specific alternative splicing via sequence-specific interactions with RNA. Several genes that have splicing regulated by GATA4 have functional consequences and many are associated with dilated cardiomyopathy, suggesting a novel role for GATA4 in achieving the necessary cardiac proteome in normal and stress-responsive conditions.
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Affiliation(s)
- Lili Zhu
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | | | - Barbara Gonzalez-Teran
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Yen-Sin Ang
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | | | - Nicole R. Stone
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Lei Liu
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Ping Zhou
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Chenchen Zhu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Genome Technology Center, Palo Alto, CA, USA
| | - Hongmei Ruan
- Department of Medicine, University of California, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Yu Huang
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Shibo Jin
- Division of Cellular and Developmental Biology, Molecular and Cell Biology Department, University of California at Berkeley, Berkeley, CA, USA
| | - Angelo Pelonero
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Frances Koback
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Arun Padmanabhan
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Nandhini Sadagopan
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Austin Hsu
- Gladstone Institutes, San Francisco, CA, USA
| | - Mauro W. Costa
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Casey A. Gifford
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Joke van Bemmel
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
| | - Ruth Hüttenhain
- Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
| | - Vasanth Vedantham
- Department of Medicine, University of California, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Bruce R. Conklin
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Brian L. Black
- Cardiovascular Research Institute, University of California, San Francisco, CA, USA
| | - Benoit G. Bruneau
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
- Cardiovascular Research Institute, University of California, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, CA, USA
| | - Lars Steinmetz
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Genome Technology Center, Palo Alto, CA, USA
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Heidelberg, Germany
| | - Nevan J. Krogan
- Gladstone Institutes, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
| | - Katherine S. Pollard
- Gladstone Institutes, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- Department of Epidemiology & Biostatistics, Institute for Computational Health Sciences, and Institute for Human Genetics, University of California, San Francisco, CA, USA
| | - Deepak Srivastava
- Gladstone Institutes, San Francisco, CA, USA
- Roddenberry Center for Stem Cell Biology and Medicine at Gladstone, San Francisco, CA, USA
- Department of Pediatrics, University of California, San Francisco, CA, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA, USA
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RNA splicing: a dual-edged sword for hepatocellular carcinoma. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2022; 39:173. [PMID: 35972700 DOI: 10.1007/s12032-022-01726-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 03/30/2022] [Indexed: 10/15/2022]
Abstract
RNA splicing is the fundamental process that brings diversity at the transcriptome and proteome levels. The spliceosome complex regulates minor and major processes of RNA splicing. Aberrant regulation is often associated with different diseases, including diabetes, stroke, hypertension, and cancer. In the majority of cancers, dysregulated alternative RNA splicing (ARS) events directly affect tumor progression, invasiveness, and often lead to poor survival of the patients. Alike the rest of the gastrointestinal malignancies, in hepatocellular carcinoma (HCC), which alone contributes to ~ 75% of the liver cancers, a large number of ARS events have been observed, including intron retention, exon skipping, presence of alternative 3'-splice site (3'SS), and alternative 5'-splice site (5'SS). These events are reported in spliceosome and non-spliceosome complexes genes. Molecules such as MCL1, Bcl-X, and BCL2 in different isoforms can behave as anti-apoptotic or pro-apoptotic, making the spliceosome complex a dual-edged sword. The anti-apoptotic isoforms of such molecules bring in resistance to chemotherapy or cornerstone drugs. However, in contrast, multiple malignant tumors, including HCC that target the pro-apoptotic favoring isoforms/variants favor apoptotic induction and make chemotherapy effective. Herein, we discuss different splicing events, aberrations, and antisense oligonucleotides (ASOs) in modulating RNA splicing in HCC tumorigenesis with a possible therapeutic outcome.
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Pan YJ, Liu BW, Pei DS. The Role of Alternative Splicing in Cancer: Regulatory Mechanism, Therapeutic Strategy, and Bioinformatics Application. DNA Cell Biol 2022; 41:790-809. [PMID: 35947859 DOI: 10.1089/dna.2022.0322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
[Formula: see text] Alternative splicing (AS) can generate distinct transcripts and subsequent isoforms that play differential functions from the same pre-mRNA. Recently, increasing numbers of studies have emerged, unmasking the association between AS and cancer. In this review, we arranged AS events that are closely related to cancer progression and presented promising treatments based on AS for cancer therapy. Obtaining proliferative capacity, acquiring invasive properties, gaining angiogenic features, shifting metabolic ability, and getting immune escape inclination are all splicing events involved in biological processes. Spliceosome-targeted and antisense oligonucleotide technologies are two novel strategies that are hopeful in tumor therapy. In addition, bioinformatics applications based on AS were summarized for better prediction and elucidation of regulatory routines mingled in. Together, we aimed to provide a better understanding of complicated AS events associated with cancer biology and reveal AS a promising target of cancer treatment in the future.
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Affiliation(s)
- Yao-Jie Pan
- Department of Pathology, Laboratory of Clinical and Experimental Pathology, Xuzhou Medical University, Xuzhou, China
| | - Bo-Wen Liu
- Department of General Surgery, Xuzhou Medical University, Xuzhou, China
| | - Dong-Sheng Pei
- Department of Pathology, Laboratory of Clinical and Experimental Pathology, Xuzhou Medical University, Xuzhou, China
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Abdelhalim H, Berber A, Lodi M, Jain R, Nair A, Pappu A, Patel K, Venkat V, Venkatesan C, Wable R, Dinatale M, Fu A, Iyer V, Kalove I, Kleyman M, Koutsoutis J, Menna D, Paliwal M, Patel N, Patel T, Rafique Z, Samadi R, Varadhan R, Bolla S, Vadapalli S, Ahmed Z. Artificial Intelligence, Healthcare, Clinical Genomics, and Pharmacogenomics Approaches in Precision Medicine. Front Genet 2022; 13:929736. [PMID: 35873469 PMCID: PMC9299079 DOI: 10.3389/fgene.2022.929736] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 05/25/2022] [Indexed: 12/13/2022] Open
Abstract
Precision medicine has greatly aided in improving health outcomes using earlier diagnosis and better prognosis for chronic diseases. It makes use of clinical data associated with the patient as well as their multi-omics/genomic data to reach a conclusion regarding how a physician should proceed with a specific treatment. Compared to the symptom-driven approach in medicine, precision medicine considers the critical fact that all patients do not react to the same treatment or medication in the same way. When considering the intersection of traditionally distinct arenas of medicine, that is, artificial intelligence, healthcare, clinical genomics, and pharmacogenomics—what ties them together is their impact on the development of precision medicine as a field and how they each contribute to patient-specific, rather than symptom-specific patient outcomes. This study discusses the impact and integration of these different fields in the scope of precision medicine and how they can be used in preventing and predicting acute or chronic diseases. Additionally, this study also discusses the advantages as well as the current challenges associated with artificial intelligence, healthcare, clinical genomics, and pharmacogenomics.
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Affiliation(s)
- Habiba Abdelhalim
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Asude Berber
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Mudassir Lodi
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Rihi Jain
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Achuth Nair
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Anirudh Pappu
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Kush Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Vignesh Venkat
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Cynthia Venkatesan
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Raghu Wable
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Matthew Dinatale
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Allyson Fu
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Vikram Iyer
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Ishan Kalove
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Marc Kleyman
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Joseph Koutsoutis
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - David Menna
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Mayank Paliwal
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Nishi Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Thirth Patel
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Zara Rafique
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Rothela Samadi
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Roshan Varadhan
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Shreyas Bolla
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Sreya Vadapalli
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States
| | - Zeeshan Ahmed
- Rutgers Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ, United States.,Department of Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers Biomedical and Health Sciences, New Brunswick, NJ, United States
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Bao G, Li T, Guan X, Yao Y, Liang J, Xiang Y, Zhong X. Development of a Prognostic Alternative Splicing Signature Associated With Tumor Microenvironment Immune Profiles in Lung Adenocarcinoma. Front Oncol 2022; 12:880478. [PMID: 35832557 PMCID: PMC9271776 DOI: 10.3389/fonc.2022.880478] [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: 02/21/2022] [Accepted: 05/24/2022] [Indexed: 12/24/2022] Open
Abstract
Background Alternative splicing (AS), a pivotal post-transcriptional process across more than 95% of human transcripts, is involved in transcript structural variations and protein complexity. Clinical implications of AS events and their interaction with tumor immunity were systematically analyzed in lung adenocarcinoma (LUAD). Methods Transcriptome profiling as well as AS data of LUAD were retrospectively curated. Then, the network of the overall survival (OS)-relevant AS events with splicing factors was established. After screening OS-relevant AS events, a LASSO prognostic model was conducted and evaluated with ROC curves. A nomogram that integrated independent prognostic indicators was created. Immune response and immune cell infiltration were estimated with ESTIMATE, CIBERSORT, and ssGSEA algorithms. Drug sensitivity was inferred with pRRophetic package. Results In total, 2415 OS-relevant AS events were identified across LUAD patients. The interaction network of splicing factors with OS-relevant AS events uncovered the underlying regulatory mechanisms of AS events in LUAD. Thereafter, a prognostic model containing 12 AS events was developed, which acted as a reliable and independent prognostic indicator following verification. A nomogram that constituted stage and risk score displayed great effectiveness in evaluating the survival likelihood. Moreover, the AS-based prognostic model was in relation to immune response and immune cell infiltration. Patients with a high-risk score displayed therapeutic superiority to cisplatin, erlotinib, gefitinib, and gemcitabine. Finally, three AS-relevant genes (CDKN2A, TTC39C, and PKIB) were identified as prognostic markers. Conclusion Collectively, our findings developed an AS event signature with powerful prognostic predictive efficacy in LUAD.
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Affiliation(s)
- Guangyao Bao
- Department of Thoracic Surgery, First Affiliated Hospital, China Medical University, Shenyang, China
| | - Tian Li
- School of Basic Medicine, Fourth Military Medical University, Xi’an, China
| | - Xiaojiao Guan
- Department of Pathology, Shengjing Hospital, China Medical University, Shenyang, China
| | - Yao Yao
- Department of Thoracic Surgery, First Affiliated Hospital, China Medical University, Shenyang, China
| | - Jie Liang
- Department of Thoracic Surgery, First Affiliated Hospital, China Medical University, Shenyang, China
| | - Yifan Xiang
- Department of Thoracic Surgery, First Affiliated Hospital, China Medical University, Shenyang, China
| | - Xinwen Zhong
- Department of Thoracic Surgery, First Affiliated Hospital, China Medical University, Shenyang, China
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Xu R, Yang Q. Immunological significance of prognostic markers for breast cancer based on alternative splicing. Am J Transl Res 2022; 14:4229-4250. [PMID: 35836866 PMCID: PMC9274553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 04/27/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVES Breast cancer (BC) currently has the highest incidence rate. Epigenetic regulation could alter gene expression and is closely related to BC initiation. This study aimed to develop an alternative splicing (AS)-based prognostic signature and clarify its relevance to the tumor immune microenvironment (TIME) status and immunotherapy of BC. METHODS Cox regression analysis was conducted to screen for prognosis-related AS events. Thereafter, LASSO with Cox regression analyses was designed to construct a prognostic signature model. Kaplan-Meier survival analysis, receiver operating characteristic curves, and proportional hazard model were then utilized to confirm the prognostic value. Multiple methods were employed to reveal the context of TIME in BC. QPCR, western blotting and immunofluorescence microscopy were carried out to detect myc-associated zinc finger protein (MAZ) expression in different cell lines, and BC and paracancerous tissues. RESULTS A total of 1,787 prognosis-related AS events were screened. Eight AS prognostic signatures were constructed with robust predictive accuracy based on the splicing subtypes. Furthermore, the establishment of a quantitative prognostic nomogram and consolidated signature was significantly correlated with TIME diversity and immune checkpoint blockade-related genes. MAZ was detected to be upregulated in BC. Finally, a newly constructed splicing regulatory network model revealed the potential functions of splicing factors. CONCLUSIONS AS-splicing factor networks may enable a new approach to investigating potential regulatory mechanisms. Moreover, pivotal players in AS events with regards to TIME and efficiency of immunotherapy were uncovered and could facilitate clinical decision-making and individual determination of BC prognosis.
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Affiliation(s)
- Rong Xu
- Department of Histology and Embryology, Xiangya School of Medicine, Central South UniversityChangsha 410013, Hunan, China
| | - Qinglong Yang
- Department of General Surgery, Guizhou Provincial People’s HospitalGuizhou 550000, Guiyang, China
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48
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Liu Z, Liu X, Liu F, Zhao H, Zhang Y, Wang Y, Ma Y, Wang F, Zhang W, Petinrin OO, Yao Z, Liang J, He Q, Feng D, Wang L, Wong KC. The comprehensive and systematic identification of BLCA-specific SF-regulated, survival-related AS events. Gene 2022; 835:146657. [PMID: 35710083 DOI: 10.1016/j.gene.2022.146657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/27/2022] [Accepted: 06/02/2022] [Indexed: 12/23/2022]
Abstract
Bladder urothelial carcinoma (BLCA) is a complex disease with high morbidity and mortality. Changes in alternative splicing (AS) and splicing factor (SF) can affect gene expression, thus playing an essential role in tumorigenesis. This study downloaded 412 patients' clinical information and 433 samples of transcriptome profiling data from TCGA. And we collected 48 AS signatures from SpliceSeq. LASSO and Cox analyses were used for identifying survival-related AS events in BLCA. Finally, 1,645 OS-related AS events in 1,129 genes were validated by Kaplan-Meier (KM) survival analysis, ROC analysis, risk curve analysis, and independent prognostic analysis. Finally, our survey provides an AS-SF regulation network consisting of five SFs and 46 AS events. In the end, we profiled genes that AS occurred in pan-cancer and five SFs' expression in tumor and normal samples in BLCA. We selected CLIP-seq data for validation the interaction regulated by RBP. Our study paves the way for potential therapeutic targets of BLCA.
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Affiliation(s)
- Zhe Liu
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Xudong Liu
- School of Medicine, Chongqing University, Chongqing 400044, China; Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - Fang Liu
- CYGNUS BIOSCIENCES (Beijing), Beijing 100176, China
| | - Hui Zhao
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310058, China
| | - Yu Zhang
- College of Life Sciences, Xinyang Normal University, Xinyang 464000, China
| | - Yafan Wang
- College of Life Sciences, Xinyang Normal University, Xinyang 464000, China
| | - Ying Ma
- College of Life Sciences, Xinyang Normal University, Xinyang 464000, China
| | - Fuzhou Wang
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Weitong Zhang
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | | | - Zhongyu Yao
- Department of Computer Science, City University of Hong Kong, Hong Kong, China
| | - Jingbo Liang
- Department of Biomedical of Science, City University of Hong Kong, Hong Kong, China
| | - Qian He
- Department of Biomedical of Science, City University of Hong Kong, Hong Kong, China
| | - Dayun Feng
- Department of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710038, China.
| | - Lei Wang
- College of Life Sciences, Xinyang Normal University, Xinyang 464000, China; College of Medicine, Xinyang Normal University, Xinyang 464000, China.
| | - Ka-Chun Wong
- Department of Computer Science, City University of Hong Kong, Hong Kong, China.
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49
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Cabezas-Fuster A, Micol-Ponce R, Fontcuberta-Cervera S, Ponce M. Missplicing suppressor alleles of Arabidopsis PRE-MRNA PROCESSING FACTOR 8 increase splicing fidelity by reducing the use of novel splice sites. Nucleic Acids Res 2022; 50:5513-5527. [PMID: 35639749 PMCID: PMC9177961 DOI: 10.1093/nar/gkac338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 03/30/2022] [Accepted: 04/25/2022] [Indexed: 11/21/2022] Open
Abstract
Efficient splicing requires a balance between high-fidelity splice-site (SS) selection and speed. In Saccharomyces cerevisiae, Pre-mRNA processing factor 8 (Prp8) helps to balance precise SS selection and rapid, efficient intron excision and exon joining. argonaute1-52 (ago1-52) and incurvata13 (icu13) are hypomorphic alleles of the Arabidopsis thaliana genes ARGONAUTE1 (AGO1) and AUXIN RESISTANT6 (AXR6) that harbor point mutations creating a novel 3'SS and 5'SS, respectively. The spliceosome recognizes these novel SSs, as well as the intact genuine SSs, producing a mixture of wild-type and aberrant mature mRNAs. Here, we characterized five novel mutant alleles of PRP8 (one of the two Arabidopsis co-orthologs of yeast Prp8), naming these alleles morphology of ago1-52 suppressed5 (mas5). In the mas5-1 background, the spliceosome preferentially recognizes the intact genuine 3'SS of ago1-52 and 5'SS of icu13. Since point mutations that damage genuine SSs make the spliceosome prone to recognizing cryptic SSs, we also tested alleles of four genes carrying damaged genuine SSs, finding that mas5-1 did not suppress their missplicing. The mas5-1 and mas5-3 mutations represent a novel class of missplicing suppressors that increase splicing fidelity by hampering the use of novel SSs, but do not alter general pre-mRNA splicing.
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Affiliation(s)
- Adrián Cabezas-Fuster
- Instituto de Bioingeniería, Universidad Miguel Hernández, Campus de Elche, 03202 Elche, Alicante, Spain
| | - Rosa Micol-Ponce
- Instituto de Bioingeniería, Universidad Miguel Hernández, Campus de Elche, 03202 Elche, Alicante, Spain
| | - Sara Fontcuberta-Cervera
- Instituto de Bioingeniería, Universidad Miguel Hernández, Campus de Elche, 03202 Elche, Alicante, Spain
| | - María Rosa Ponce
- Instituto de Bioingeniería, Universidad Miguel Hernández, Campus de Elche, 03202 Elche, Alicante, Spain
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50
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Chan JJ, Zhang B, Chew XH, Salhi A, Kwok ZH, Lim CY, Desi N, Subramaniam N, Siemens A, Kinanti T, Ong S, Sanchez-Mejias A, Ly PT, An O, Sundar R, Fan X, Wang S, Siew BE, Lee KC, Chong CS, Lieske B, Cheong WK, Goh Y, Fam WN, Ooi MG, Koh BTH, Iyer SG, Ling WH, Chen J, Yoong BK, Chanwat R, Bonney GK, Goh BKP, Zhai W, Fullwood MJ, Wang W, Tan KK, Chng WJ, Dan YY, Pitt JJ, Roca X, Guccione E, Vardy LA, Chen L, Gao X, Chow PKH, Yang H, Tay Y. Pan-cancer pervasive upregulation of 3' UTR splicing drives tumourigenesis. Nat Cell Biol 2022; 24:928-939. [PMID: 35618746 PMCID: PMC9203280 DOI: 10.1038/s41556-022-00913-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 04/07/2022] [Indexed: 11/15/2022]
Abstract
Most mammalian genes generate messenger RNAs with variable untranslated regions (UTRs) that are important post-transcriptional regulators. In cancer, shortening at 3′ UTR ends via alternative polyadenylation can activate oncogenes. However, internal 3′ UTR splicing remains poorly understood as splicing studies have traditionally focused on protein-coding alterations. Here we systematically map the pan-cancer landscape of 3′ UTR splicing and present this in SpUR (http://www.cbrc.kaust.edu.sa/spur/home/). 3′ UTR splicing is widespread, upregulated in cancers, correlated with poor prognosis and more prevalent in oncogenes. We show that antisense oligonucleotide-mediated inhibition of 3′ UTR splicing efficiently reduces oncogene expression and impedes tumour progression. Notably, CTNNB1 3′ UTR splicing is the most consistently dysregulated event across cancers. We validate its upregulation in hepatocellular carcinoma and colon adenocarcinoma, and show that the spliced 3′ UTR variant is the predominant contributor to its oncogenic functions. Overall, our study highlights the importance of 3′ UTR splicing in cancer and may launch new avenues for RNA-based anti-cancer therapeutics. Chan et al. report that 3′ UTR splicing is widespread and enhanced across different cancer types and is associated with more advanced tumour progression.
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Affiliation(s)
- Jia Jia Chan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Bin Zhang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.,KAUST Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Xiao Hong Chew
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Adil Salhi
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.,KAUST Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
| | - Zhi Hao Kwok
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Boston University, Boston, MA, USA
| | - Chun You Lim
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Ng Desi
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Nagavidya Subramaniam
- A*STAR Skin Research Labs and Skin Research Institute of Singapore, A*STAR, Immunos, Singapore, Singapore
| | - Angela Siemens
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,The University of British Columbia, Vancouver, British Columbia, Canada
| | - Tyas Kinanti
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shane Ong
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Avencia Sanchez-Mejias
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Integra Therapeutics S.L., Barcelona, Spain
| | - Phuong Thao Ly
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Omer An
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Raghav Sundar
- Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore, Singapore.,Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - Xiaonan Fan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shi Wang
- Department of Pathology, National University Health System, Singapore, Singapore
| | - Bei En Siew
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kuok Chung Lee
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Colorectal Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Choon Seng Chong
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Colorectal Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Bettina Lieske
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Colorectal Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Wai-Kit Cheong
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Colorectal Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Yufen Goh
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Wee Nih Fam
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Melissa G Ooi
- Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Bryan T H Koh
- Department of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Shridhar Ganpathi Iyer
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Hepatobiliary & Pancreatic Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Wen Huan Ling
- Program in Clinical and Translational Liver Cancer Research, National Cancer Center Singapore, Singapore, Singapore
| | - Jianbin Chen
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Boon-Koon Yoong
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Rawisak Chanwat
- Hepato-Pancreato-Biliary Surgery Unit, Department of Surgery, National Cancer Institute, Bangkok, Thailand
| | - Glenn Kunnath Bonney
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Hepatobiliary & Pancreatic Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Brian K P Goh
- Department of Hepatopancreatobiliary and Transplantation Surgery, Singapore General Hospital and National Cancer Center Singapore, Singapore, Singapore
| | - Weiwei Zhai
- Program in Clinical and Translational Liver Cancer Research, National Cancer Center Singapore, Singapore, Singapore.,Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Melissa J Fullwood
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.,Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Wilson Wang
- Department of Orthopaedic Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ker-Kan Tan
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Colorectal Surgery, University Surgical Cluster, National University Health System, Singapore, Singapore
| | - Wee Joo Chng
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Department of Haematology-Oncology, National University Cancer Institute of Singapore, National University Health System, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yock Young Dan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jason J Pitt
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xavier Roca
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Ernesto Guccione
- Center for Therapeutics Discovery, Department of Oncological Sciences and Pharmacological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Leah A Vardy
- A*STAR Skin Research Labs and Skin Research Institute of Singapore, A*STAR, Immunos, Singapore, Singapore
| | - Leilei Chen
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.,Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xin Gao
- Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.,KAUST Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.,BioMap, Beijing, China
| | - Pierce K H Chow
- Program in Clinical and Translational Liver Cancer Research, National Cancer Center Singapore, Singapore, Singapore.,Department of Hepatopancreatobiliary and Transplantation Surgery, Singapore General Hospital and National Cancer Center Singapore, Singapore, Singapore.,Academic Clinical Programme for Surgery, SingHealth Duke-NUS Academic Medical Centre (AMC), Singapore, Singapore
| | - Henry Yang
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Yvonne Tay
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore. .,NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. .,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
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