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Systematic analysis of gene expression patterns associated with postmortem interval in human tissues
Postmortem mRNA degradation is considered to be the major concern in gene expression research utilizing human postmortem tissues. A key factor in this process is the postmortem interval (PMI), which is defined as the interval between death and sample collection. However, global patterns of postmorte...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511187/ https://www.ncbi.nlm.nih.gov/pubmed/28710439 http://dx.doi.org/10.1038/s41598-017-05882-0 |
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author | Zhu, Yizhang Wang, Likun Yin, Yuxin Yang, Ence |
author_facet | Zhu, Yizhang Wang, Likun Yin, Yuxin Yang, Ence |
author_sort | Zhu, Yizhang |
collection | PubMed |
description | Postmortem mRNA degradation is considered to be the major concern in gene expression research utilizing human postmortem tissues. A key factor in this process is the postmortem interval (PMI), which is defined as the interval between death and sample collection. However, global patterns of postmortem mRNA degradation at individual gene levels across diverse human tissues remain largely unknown. In this study, we performed a systematic analysis of alteration of gene expression associated with PMI in human tissues. From the Genotype-Tissue Expression (GTEx) database, we evaluated gene expression levels of 2,016 high-quality postmortem samples from 316 donors of European descent, with PMI ranging from 1 to 27 hours. We found that PMI-related mRNA degradation is tissue-specific, gene-specific, and even genotype-dependent, thus drawing a more comprehensive picture of PMI-associated gene expression across diverse human tissues. Additionally, we also identified 266 differentially variable (DV) genes, such as DEFB4B and IFNG, whose expression is significantly dispersed between short PMI (S-PMI) and long PMI (L-PMI) groups. In summary, our analyses provide a comprehensive profile of PMI-associated gene expression, which will help interpret gene expression patterns in the evaluation of postmortem tissues. |
format | Online Article Text |
id | pubmed-5511187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55111872017-07-17 Systematic analysis of gene expression patterns associated with postmortem interval in human tissues Zhu, Yizhang Wang, Likun Yin, Yuxin Yang, Ence Sci Rep Article Postmortem mRNA degradation is considered to be the major concern in gene expression research utilizing human postmortem tissues. A key factor in this process is the postmortem interval (PMI), which is defined as the interval between death and sample collection. However, global patterns of postmortem mRNA degradation at individual gene levels across diverse human tissues remain largely unknown. In this study, we performed a systematic analysis of alteration of gene expression associated with PMI in human tissues. From the Genotype-Tissue Expression (GTEx) database, we evaluated gene expression levels of 2,016 high-quality postmortem samples from 316 donors of European descent, with PMI ranging from 1 to 27 hours. We found that PMI-related mRNA degradation is tissue-specific, gene-specific, and even genotype-dependent, thus drawing a more comprehensive picture of PMI-associated gene expression across diverse human tissues. Additionally, we also identified 266 differentially variable (DV) genes, such as DEFB4B and IFNG, whose expression is significantly dispersed between short PMI (S-PMI) and long PMI (L-PMI) groups. In summary, our analyses provide a comprehensive profile of PMI-associated gene expression, which will help interpret gene expression patterns in the evaluation of postmortem tissues. Nature Publishing Group UK 2017-07-14 /pmc/articles/PMC5511187/ /pubmed/28710439 http://dx.doi.org/10.1038/s41598-017-05882-0 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhu, Yizhang Wang, Likun Yin, Yuxin Yang, Ence Systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
title | Systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
title_full | Systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
title_fullStr | Systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
title_full_unstemmed | Systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
title_short | Systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
title_sort | systematic analysis of gene expression patterns associated with postmortem interval in human tissues |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511187/ https://www.ncbi.nlm.nih.gov/pubmed/28710439 http://dx.doi.org/10.1038/s41598-017-05882-0 |
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