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Angiotensin II Influences Pre-mRNA Splicing Regulation by Enhancing RBM20 Transcription Through Activation of the MAPK/ELK1 Signaling Pathway. Int J Mol Sci 2019; 20:ijms20205059. [PMID: 31614708 PMCID: PMC6829565 DOI: 10.3390/ijms20205059] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 10/05/2019] [Accepted: 10/07/2019] [Indexed: 12/31/2022] Open
Abstract
RNA binding motif 20 (RBM20) is a key regulator of pre-mRNA splicing of titin and other genes that are associated with cardiac diseases. Hormones, like insulin, triiodothyronine (T3), and angiotensin II (Ang II), can regulate gene-splicing through RBM20, but the detailed mechanism remains unclear. This study was aimed at investigating the signaling mechanism by which hormones regulate pre-mRNA splicing through RBM20. We first examined the role of RBM20 in Z-, I-, and M-band titin splicing at different ages in wild type (WT) and RBM20 knockout (KO) rats using RT-PCR; we found that RBM20 is the predominant regulator of I-band titin splicing at all ages. Then we treated rats with propylthiouracil (PTU), T3, streptozotocin (STZ), and Ang II and evaluated the impact of these hormones on the splicing of titin, LIM domain binding 3 (Ldb3), calcium/calmodulin-dependent protein kinase II gamma (Camk2g), and triadin (Trdn). We determined the activation of mitogen-activated protein kinase (MAPK) signaling in primary cardiomyocytes treated with insulin, T3, and Ang II using western blotting; MAPK signaling was activated and RBM20 expression increased after treatment. Two downstream transcriptional factors c-jun and ETS Transcription Factor (ELK1) can bind the promoter of RBM20. A dual-luciferase activity assay revealed that Ang II, but not insulin and T3, can trigger ELK1 and thus promote transcription of RBM20. This study revealed that Ang II can trigger ELK1 through activation of MAPK signaling by enhancing RBM20 expression which regulates pre-mRNA splicing. Our study provides a potential therapeutic target for the treatment of cardiac diseases in RBM20-mediated pre-mRNA splicing.
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Cai H, Li M, Sun X, Plath M, Li C, Lan X, Lei C, Huang Y, Bai Y, Qi X, Lin F, Chen H. Global Transcriptome Analysis During Adipogenic Differentiation and Involvement of Transthyretin Gene in Adipogenesis in Cattle. Front Genet 2018; 9:463. [PMID: 30405687 PMCID: PMC6200853 DOI: 10.3389/fgene.2018.00463] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 09/21/2018] [Indexed: 12/03/2022] Open
Abstract
Adipose tissue plays central role in determining the gustatory quality of beef, but traditional Chinese beef cattle have low levels of fat content. We applied RNA-seq to study the molecular mechanisms underlying adipocyte differentiation in Qinchuan cattle. A total of 18,283 genes were found to be expressed in preadipocytes and mature adipocytes, respectively. 470 of which were significantly differentially expressed genes (DEGs) [false discovery rate (FDR) values < 0.05 and fold change ≥ 2]. In addition, 4534 alternative splicing (AS) events and 5153 AS events were detected in preadipocytes and adipocytes, respectively. We constructed a protein interaction network, which suggested that collagen plays an important role during bovine adipogenic differentiation. We characterized the function of the most down-regulated DEG (P < 0.001) among genes we have detected by qPCR, namely, the transthyretin (TTR) gene. Overexpression of TTR appears to promote the expression of the peroxisome proliferator activated receptor γ (PPARγ) (P < 0.05) and fatty acid binding Protein 4 (FABP4) (P < 0.05). Hence, TTR appears to be involved in the regulation of bovine adipogenic differentiation. Our study represents the comprehensive approach to explore bovine adipocyte differentiation using transcriptomic data and reports an involvement of TTR during bovine adipogenic differentiation. Our results provide novel insights into the molecular mechanisms underlying bovine adipogenic differentiation.
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Affiliation(s)
- Hanfang Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Mingxun Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.,College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Xiaomei Sun
- College of Animal Science and Technology, Northwest A&F University, Yangling, China.,College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Martin Plath
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Congjun Li
- Animal Genomics and Improvement Laboratory, United States Department of Agriculture-Agricultural Research Service, Beltsville, MD, United States
| | - Xianyong Lan
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Chuzhao Lei
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yongzhen Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Yueyu Bai
- Animal Health Supervision in Henan Province, Zhengzhou, China
| | - Xinglei Qi
- Biyang Bureau of Animal Husbandry of Biyang County, Biyang, China
| | - Fengpeng Lin
- Biyang Bureau of Animal Husbandry of Biyang County, Biyang, China
| | - Hong Chen
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
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Genome-wide analysis of alternative splicing during human heart development. Sci Rep 2016; 6:35520. [PMID: 27752099 PMCID: PMC5067579 DOI: 10.1038/srep35520] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 09/27/2016] [Indexed: 12/16/2022] Open
Abstract
Alternative splicing (AS) drives determinative changes during mouse heart development. Recent high-throughput technological advancements have facilitated genome-wide AS, while its analysis in human foetal heart transition to the adult stage has not been reported. Here, we present a high-resolution global analysis of AS transitions between human foetal and adult hearts. RNA-sequencing data showed extensive AS transitions occurred between human foetal and adult hearts, and AS events occurred more frequently in protein-coding genes than in long non-coding RNA (lncRNA). A significant difference of AS patterns was found between foetal and adult hearts. The predicted difference in AS events was further confirmed using quantitative reverse transcription-polymerase chain reaction analysis of human heart samples. Functional foetal-specific AS event analysis showed enrichment associated with cell proliferation-related pathways including cell cycle, whereas adult-specific AS events were associated with protein synthesis. Furthermore, 42.6% of foetal-specific AS events showed significant changes in gene expression levels between foetal and adult hearts. Genes exhibiting both foetal-specific AS and differential expression were highly enriched in cell cycle-associated functions. In conclusion, we provided a genome-wide profiling of AS transitions between foetal and adult hearts and proposed that AS transitions and deferential gene expression may play determinative roles in human heart development.
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Zhang T, Zhao X, Wang W, Huang L, Liu X, Zong Y, Zhu L, Yang D, Fu B, Li Z. Deep transcriptome sequencing of rhizome and aerial-shoot in Sorghum propinquum. PLANT MOLECULAR BIOLOGY 2014; 84:315-27. [PMID: 24104862 DOI: 10.1007/s11103-013-0135-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2013] [Accepted: 09/23/2013] [Indexed: 05/25/2023]
Abstract
Transcriptomic data for Sorghum propinquum, the wild-type sorghum, are limited in public databases. S. propinquum has a subterranean rhizome and transcriptome data will help in understanding the molecular mechanisms underlying rhizome formation. We sequenced the transcriptome of S. propinquum aerial-shoot and rhizome using an Illumina platform. More than 70 % of the genes in the S. propinquum genome were expressed in aerial-shoot and rhizome. The expression patterns of 1963 and 599 genes, including transcription factors, were specific or enriched in aerial-shoot and rhizome respectively, indicating their possible roles in physiological processes in these tissues. Comparative analysis revealed several cis-elements, ACGT box, GCCAC, GATC and TGACG box, which showed significantly higher abundance in aerial-shoot-specific genes. In rhizome-specific genes MYB and ROOTMOTIFTAPOX1 motifs, and 10 promoter and cytokinin-responsive elements were highly enriched. Of the S. propinquum genes, 27.9 % were identified as alternatively spliced and about 60 % of the alternative splicing (AS) events were tissue-specific, suggesting that AS played a crucial role in determining tissue-specific cellular function. The transcriptome data, especially the co-localized rhizome-enriched expressed transcripts that mapped to the publicly available rhizome-related quantitative trait loci, will contribute to gene discovery in S. propinquum and to functional studies of the sorghum genome. Deep transcriptome sequencing revealed a clear difference in the expression patterns of genes between aerial-shoot and rhizome in S. propinquum. This data set provides essential information for future studies into the molecular genetic mechanisms involved in rhizome formation.
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Affiliation(s)
- Ting Zhang
- Institute of Crop Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences, 12 South Zhong-Guan-Cun St., Beijing, 100081, China
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Heinicke LA, Nabet B, Shen S, Jiang P, van Zalen S, Cieply B, Russell JE, Xing Y, Carstens RP. The RNA binding protein RBM38 (RNPC1) regulates splicing during late erythroid differentiation. PLoS One 2013; 8:e78031. [PMID: 24250749 PMCID: PMC3820963 DOI: 10.1371/journal.pone.0078031] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2013] [Accepted: 09/07/2013] [Indexed: 12/11/2022] Open
Abstract
Alternative pre-mRNA splicing is a prevalent mechanism in mammals that promotes proteomic diversity, including expression of cell-type specific protein isoforms. We characterized a role for RBM38 (RNPC1) in regulation of alternative splicing during late erythroid differentiation. We used an Affymetrix human exon junction (HJAY) splicing microarray to identify a panel of RBM38-regulated alternatively spliced transcripts. Using microarray databases, we noted high RBM38 expression levels in CD71+ erythroid cells and thus chose to examine RBM38 expression during erythroid differentiation of human hematopoietic stem cells, detecting enhanced RBM38 expression during late erythroid differentiation. In differentiated erythroid cells, we validated a subset of RBM38-regulated splicing events and determined that RBM38 regulates activation of Protein 4.1R (EPB41) exon 16 during late erythroid differentiation. Using Epb41 minigenes, Rbm38 was found to be a robust activator of exon 16 splicing. To further address the mechanism of RBM38-regulated alternative splicing, a novel mammalian protein expression system, followed by SELEX-Seq, was used to identify a GU-rich RBM38 binding motif. Lastly, using a tethering assay, we determined that RBM38 can directly activate splicing when recruited to a downstream intron. Together, our data support the role of RBM38 in regulating alternative splicing during erythroid differentiation.
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Affiliation(s)
- Laurie A. Heinicke
- Department of Medicine (Hematology-Oncology Division), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Behnam Nabet
- Department of Medicine (Renal Division), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Shihao Shen
- Department of Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America
- Department of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, California, United States of America
| | - Peng Jiang
- Department of Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America
| | - Sebastiaan van Zalen
- Department of Medicine (Hematology-Oncology Division), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Benjamin Cieply
- Department of Medicine (Hematology-Oncology Division), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - J. Eric Russell
- Department of Medicine (Hematology-Oncology Division), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Pediatrics (Hematology), Perelman School of Medicine, University of Pennsylvania, and the Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Yi Xing
- Department of Internal Medicine, University of Iowa, Iowa City, Iowa, United States of America
- Department of Microbiology, Immunology, and Molecular Genetics, University of California Los Angeles, Los Angeles, California, United States of America
| | - Russ P. Carstens
- Department of Medicine (Renal Division), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
- Department of Genetics University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- * E-mail:
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Altschuler GM, Hofmann O, Kalatskaya I, Payne R, Ho Sui SJ, Saxena U, Krivtsov AV, Armstrong SA, Cai T, Stein L, Hide WA. Pathprinting: An integrative approach to understand the functional basis of disease. Genome Med 2013; 5:68. [PMID: 23890051 PMCID: PMC3971351 DOI: 10.1186/gm472] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Revised: 07/07/2013] [Accepted: 07/26/2013] [Indexed: 11/10/2022] Open
Abstract
New strategies to combat complex human disease require systems approaches to biology that integrate experiments from cell lines, primary tissues and model organisms. We have developed Pathprint, a functional approach that compares gene expression profiles in a set of pathways, networks and transcriptionally regulated targets. It can be applied universally to gene expression profiles across species. Integration of large-scale profiling methods and curation of the public repository overcomes platform, species and batch effects to yield a standard measure of functional distance between experiments. We show that pathprints combine mouse and human blood developmental lineage, and can be used to identify new prognostic indicators in acute myeloid leukemia. The code and resources are available at http://compbio.sph.harvard.edu/hidelab/pathprint
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Affiliation(s)
- Gabriel M Altschuler
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
| | - Oliver Hofmann
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA ; Bioinformatics Core, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA ; Harvard Stem Cell Institute, 1350 Massachusetts Ave, Cambridge, MA 02138
| | - Irina Kalatskaya
- Ontario Institute for Cancer Research, Department of Informatics and Bio-computing, MaRS Centre, South Tower, 101 College Street, Toronto, ON, M5G 0A3, Canada
| | - Rebecca Payne
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
| | - Shannan J Ho Sui
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA ; Bioinformatics Core, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
| | - Uma Saxena
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
| | - Andrei V Krivtsov
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA
| | - Scott A Armstrong
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA 02115, USA ; Harvard Stem Cell Institute, 1350 Massachusetts Ave, Cambridge, MA 02138
| | - Tianxi Cai
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
| | - Lincoln Stein
- Ontario Institute for Cancer Research, Department of Informatics and Bio-computing, MaRS Centre, South Tower, 101 College Street, Toronto, ON, M5G 0A3, Canada
| | - Winston A Hide
- Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA ; Bioinformatics Core, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA ; Harvard Stem Cell Institute, 1350 Massachusetts Ave, Cambridge, MA 02138
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Walters B, Lum G, Sablok G, Min XJ. Genome-wide landscape of alternative splicing events in Brachypodium distachyon. DNA Res 2013; 20:163-71. [PMID: 23297300 PMCID: PMC3628446 DOI: 10.1093/dnares/dss041] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Accepted: 12/12/2012] [Indexed: 01/23/2023] Open
Abstract
Recently, Brachypodium distachyon has emerged as a model plant for studying monocot grasses and cereal crops. Using assembled expressed transcript sequences and subsequent mapping to the corresponding genome, we identified 1219 alternative splicing (AS) events spanning across 2021 putatively assembled transcripts generated from 941 genes. Approximately, 6.3% of expressed genes are alternatively spliced in B. distachyon. We observed that a majority of the identified AS events were related to retained introns (55.5%), followed by alternative acceptor sites (16.7%). We also observed a low percentage of exon skipping (5.0%) and alternative donor site events (8.8%). The 'complex event' that consists of a combination of two or more basic splicing events accounted for ∼14.0%. Comparative AS transcript analysis revealed 163 and 39 homologous pairs between B. distachyon and Oryza sativa and between B. distachyon and Arabidopsis thaliana, respectively. In all, we found 16 AS transcripts to be conserved in all 3 species. AS events and related putative assembled transcripts annotation can be systematically browsed at Plant Alternative Splicing Database (http://proteomics.ysu.edu/altsplice/plant/).
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Affiliation(s)
- Braden Walters
- Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH 44555, USA
| | - Gengkon Lum
- Department of Computer Science and Information Systems, Youngstown State University, Youngstown, OH 44555, USA
| | - Gaurav Sablok
- Sustainable Agro-ecosystems and Bioresources Department, IASMA Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, San Michele all'Adige, Trentino 38010, Italy
| | - Xiang Jia Min
- Center for Applied Chemical Biology, Department of Biological Sciences, Youngstown State University, Youngstown, OH 44555, USA
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