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Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing
Alternative splicing contributes to the majority of protein diversity in higher eukaryotes by allowing one gene to generate multiple distinct protein isoforms. It adds another regulation layer of gene expression. Up to 95% of human multi-exon genes undergo alternative splicing to encode proteins wit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772363/ https://www.ncbi.nlm.nih.gov/pubmed/33425250 http://dx.doi.org/10.1016/j.csbj.2020.12.009 |
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author | Jiang, Wei Chen, Liang |
author_facet | Jiang, Wei Chen, Liang |
author_sort | Jiang, Wei |
collection | PubMed |
description | Alternative splicing contributes to the majority of protein diversity in higher eukaryotes by allowing one gene to generate multiple distinct protein isoforms. It adds another regulation layer of gene expression. Up to 95% of human multi-exon genes undergo alternative splicing to encode proteins with different functions. Moreover, around 15% of human hereditary diseases and cancers are associated with alternative splicing. Regulation of alternative splicing is attributed to a set of delicate machineries interacting with each other in aid of important biological processes such as cell development and differentiation. Given the importance of alternative splicing events, their accurate mapping and quantification are paramount for downstream analysis, especially for associating disease with alternative splicing. However, deriving accurate isoform expression from high-throughput RNA-seq data remains a challenging task. In this mini-review, we aim to illustrate I) mechanisms and regulation of alternative splicing, II) alternative splicing associated human disease, III) computational tools for the quantification of isoforms and alternative splicing from RNA-seq. |
format | Online Article Text |
id | pubmed-7772363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-77723632021-01-08 Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing Jiang, Wei Chen, Liang Comput Struct Biotechnol J Review Article Alternative splicing contributes to the majority of protein diversity in higher eukaryotes by allowing one gene to generate multiple distinct protein isoforms. It adds another regulation layer of gene expression. Up to 95% of human multi-exon genes undergo alternative splicing to encode proteins with different functions. Moreover, around 15% of human hereditary diseases and cancers are associated with alternative splicing. Regulation of alternative splicing is attributed to a set of delicate machineries interacting with each other in aid of important biological processes such as cell development and differentiation. Given the importance of alternative splicing events, their accurate mapping and quantification are paramount for downstream analysis, especially for associating disease with alternative splicing. However, deriving accurate isoform expression from high-throughput RNA-seq data remains a challenging task. In this mini-review, we aim to illustrate I) mechanisms and regulation of alternative splicing, II) alternative splicing associated human disease, III) computational tools for the quantification of isoforms and alternative splicing from RNA-seq. Research Network of Computational and Structural Biotechnology 2020-12-24 /pmc/articles/PMC7772363/ /pubmed/33425250 http://dx.doi.org/10.1016/j.csbj.2020.12.009 Text en © 2020 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Jiang, Wei Chen, Liang Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing |
title | Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing |
title_full | Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing |
title_fullStr | Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing |
title_full_unstemmed | Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing |
title_short | Alternative splicing: Human disease and quantitative analysis from high-throughput sequencing |
title_sort | alternative splicing: human disease and quantitative analysis from high-throughput sequencing |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772363/ https://www.ncbi.nlm.nih.gov/pubmed/33425250 http://dx.doi.org/10.1016/j.csbj.2020.12.009 |
work_keys_str_mv | AT jiangwei alternativesplicinghumandiseaseandquantitativeanalysisfromhighthroughputsequencing AT chenliang alternativesplicinghumandiseaseandquantitativeanalysisfromhighthroughputsequencing |