Cargando…
Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model
BACKGROUND: Acute myocardial infarction (AMI) is one of the leading causes of death in human being, and an effective diagnostic biomarker is still lacking. Whilst some gene association with AMI has been identified by RNA sequencing (RNA-seq), the relationship between alternative splicing and AMI is...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701406/ https://www.ncbi.nlm.nih.gov/pubmed/36435743 http://dx.doi.org/10.1186/s12872-022-02961-7 |
_version_ | 1784839526189891584 |
---|---|
author | Liu, Xuemei He, Pengyi Zhang, Ze Gong, Pengfei Niu, Yunxia Bao, Zhen Yang, Yuchun Gan, Lin Muhuyati |
author_facet | Liu, Xuemei He, Pengyi Zhang, Ze Gong, Pengfei Niu, Yunxia Bao, Zhen Yang, Yuchun Gan, Lin Muhuyati |
author_sort | Liu, Xuemei |
collection | PubMed |
description | BACKGROUND: Acute myocardial infarction (AMI) is one of the leading causes of death in human being, and an effective diagnostic biomarker is still lacking. Whilst some gene association with AMI has been identified by RNA sequencing (RNA-seq), the relationship between alternative splicing and AMI is not clear. METHODS: We retrieved myocardial tissues within 24 h from mice with induced AMI and sham, and analysed the differentially expressed genes (DEGs) and differential alternative splicing genes (DASGs) by RNA-seq. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein interaction network analysis were performed on DEGs-DASGs-overlap genes. PCR was used to verify the expression levels of representative genes and alternative splicing in myocardial tissues of AMI and sham mice. RESULTS: 1367 DEGs were identified, including 242 up-regulated and 1125 down-regulated genes, among which there were 42 DASGs. GO analysis showed that the cellular component was primarily enriched in plasma membrane, cell membrane integrity and extracellular region. The molecular function was enriched in protein binding and metal ion binding. The biological process was primarily enriched in cell adhesion, immune system process and cell differentiation. KEGG analysis showed the enrichment was mainly in JAK-STAT and PI3K-AKT signalling pathway. Postn, Fhl1, and Fn1 were low-expressed while Postn alternative splicing was high-expressed in myocardial tissue of AMI mice, which was consistent with sequencing results. CONCLUSIONS: The pathogenesis of AMI involves differentially expressed genes and differential alternative splicing. These differentially expressed genes and their alternative splicing, especially, Fhl1, Fn1 and Postn may become new biomarkers of AMI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02961-7. |
format | Online Article Text |
id | pubmed-9701406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97014062022-11-28 Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model Liu, Xuemei He, Pengyi Zhang, Ze Gong, Pengfei Niu, Yunxia Bao, Zhen Yang, Yuchun Gan, Lin Muhuyati BMC Cardiovasc Disord Research Article BACKGROUND: Acute myocardial infarction (AMI) is one of the leading causes of death in human being, and an effective diagnostic biomarker is still lacking. Whilst some gene association with AMI has been identified by RNA sequencing (RNA-seq), the relationship between alternative splicing and AMI is not clear. METHODS: We retrieved myocardial tissues within 24 h from mice with induced AMI and sham, and analysed the differentially expressed genes (DEGs) and differential alternative splicing genes (DASGs) by RNA-seq. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and protein interaction network analysis were performed on DEGs-DASGs-overlap genes. PCR was used to verify the expression levels of representative genes and alternative splicing in myocardial tissues of AMI and sham mice. RESULTS: 1367 DEGs were identified, including 242 up-regulated and 1125 down-regulated genes, among which there were 42 DASGs. GO analysis showed that the cellular component was primarily enriched in plasma membrane, cell membrane integrity and extracellular region. The molecular function was enriched in protein binding and metal ion binding. The biological process was primarily enriched in cell adhesion, immune system process and cell differentiation. KEGG analysis showed the enrichment was mainly in JAK-STAT and PI3K-AKT signalling pathway. Postn, Fhl1, and Fn1 were low-expressed while Postn alternative splicing was high-expressed in myocardial tissue of AMI mice, which was consistent with sequencing results. CONCLUSIONS: The pathogenesis of AMI involves differentially expressed genes and differential alternative splicing. These differentially expressed genes and their alternative splicing, especially, Fhl1, Fn1 and Postn may become new biomarkers of AMI. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-022-02961-7. BioMed Central 2022-11-26 /pmc/articles/PMC9701406/ /pubmed/36435743 http://dx.doi.org/10.1186/s12872-022-02961-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Liu, Xuemei He, Pengyi Zhang, Ze Gong, Pengfei Niu, Yunxia Bao, Zhen Yang, Yuchun Gan, Lin Muhuyati Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
title | Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
title_full | Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
title_fullStr | Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
title_full_unstemmed | Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
title_short | Candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
title_sort | candidate genes and their alternative splicing may be potential biomarkers of acute myocardial infarction: a study of mouse model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701406/ https://www.ncbi.nlm.nih.gov/pubmed/36435743 http://dx.doi.org/10.1186/s12872-022-02961-7 |
work_keys_str_mv | AT liuxuemei candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT hepengyi candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT zhangze candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT gongpengfei candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT niuyunxia candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT baozhen candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT yangyuchun candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT ganlin candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel AT muhuyati candidategenesandtheiralternativesplicingmaybepotentialbiomarkersofacutemyocardialinfarctionastudyofmousemodel |