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Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease
Alternative splicing (AS) is a common phenomenon and correlates with aging and aging-related disorders including Alzheimer’s disease (AD). We aimed to systematically characterize AS changes in the cerebral cortex of 9-month-old APP/PS1 mice. The GSE132177 dataset was downloaded from GEO and ENA data...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237535/ https://www.ncbi.nlm.nih.gov/pubmed/35774499 http://dx.doi.org/10.3389/fgene.2022.926049 |
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author | Lu, Yanjun Yue, Daoyuan Xie, Jiazhao Cheng, Liming Wang, Xiong |
author_facet | Lu, Yanjun Yue, Daoyuan Xie, Jiazhao Cheng, Liming Wang, Xiong |
author_sort | Lu, Yanjun |
collection | PubMed |
description | Alternative splicing (AS) is a common phenomenon and correlates with aging and aging-related disorders including Alzheimer’s disease (AD). We aimed to systematically characterize AS changes in the cerebral cortex of 9-month-old APP/PS1 mice. The GSE132177 dataset was downloaded from GEO and ENA databases, aligned to the GRCm39 reference genome from ENSEMBL via STAR. Alternative 3′SS (A3SS), alternative 5′SS (A5SS), skipped exon (SE), retained intron (RI), and mutually exclusive exons (MXE) AS events were evaluated using rMATS, rmats2sashimiplot, and maser. Differential genes or transcripts were analyzed using the limma R package. Gene ontology analysis was performed with the clusterProfiler R package. A total of 60,705 raw counts of AS were identified, and 113 significant AS events were finally selected in accordance with the selection criteria: 1) average coverage >10 and 2) delta percent spliced in (ΔPSI) >0.1. SE was the most abundant AS event (61.95%), and RI was the second most abundant AS type (13.27%), followed by A3SS (12.39%), thereafter A5SS and MXE comprised of 12.39%. Interestingly, genes that experienced SE were enriched in histone acetyltransferase (HAT) complex, while genes spliced by RI were enriched in autophagy and those which experienced A3SS were enriched in methyltransferase activity revealed by GO analysis. In conclusion, we revealed ontology specific AS changes in AD. Our analysis provides novel pathological mechanisms of AD. |
format | Online Article Text |
id | pubmed-9237535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92375352022-06-29 Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease Lu, Yanjun Yue, Daoyuan Xie, Jiazhao Cheng, Liming Wang, Xiong Front Genet Genetics Alternative splicing (AS) is a common phenomenon and correlates with aging and aging-related disorders including Alzheimer’s disease (AD). We aimed to systematically characterize AS changes in the cerebral cortex of 9-month-old APP/PS1 mice. The GSE132177 dataset was downloaded from GEO and ENA databases, aligned to the GRCm39 reference genome from ENSEMBL via STAR. Alternative 3′SS (A3SS), alternative 5′SS (A5SS), skipped exon (SE), retained intron (RI), and mutually exclusive exons (MXE) AS events were evaluated using rMATS, rmats2sashimiplot, and maser. Differential genes or transcripts were analyzed using the limma R package. Gene ontology analysis was performed with the clusterProfiler R package. A total of 60,705 raw counts of AS were identified, and 113 significant AS events were finally selected in accordance with the selection criteria: 1) average coverage >10 and 2) delta percent spliced in (ΔPSI) >0.1. SE was the most abundant AS event (61.95%), and RI was the second most abundant AS type (13.27%), followed by A3SS (12.39%), thereafter A5SS and MXE comprised of 12.39%. Interestingly, genes that experienced SE were enriched in histone acetyltransferase (HAT) complex, while genes spliced by RI were enriched in autophagy and those which experienced A3SS were enriched in methyltransferase activity revealed by GO analysis. In conclusion, we revealed ontology specific AS changes in AD. Our analysis provides novel pathological mechanisms of AD. Frontiers Media S.A. 2022-06-14 /pmc/articles/PMC9237535/ /pubmed/35774499 http://dx.doi.org/10.3389/fgene.2022.926049 Text en Copyright © 2022 Lu, Yue, Xie, Cheng and Wang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lu, Yanjun Yue, Daoyuan Xie, Jiazhao Cheng, Liming Wang, Xiong Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease |
title | Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease |
title_full | Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease |
title_fullStr | Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease |
title_full_unstemmed | Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease |
title_short | Ontology Specific Alternative Splicing Changes in Alzheimer’s Disease |
title_sort | ontology specific alternative splicing changes in alzheimer’s disease |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237535/ https://www.ncbi.nlm.nih.gov/pubmed/35774499 http://dx.doi.org/10.3389/fgene.2022.926049 |
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