Literature DB >> 27185020

Characterization of gene expression profiling of mouse tissues obtained during the postmortem interval.

Sayaka Sobue1, Keita Sakata2, Yuki Sekijima3, Shanlou Qiao1, Takashi Murate1, Masatoshi Ichihara4.   

Abstract

Attempts to establish a tissue bank from autopsy samples have led to uncovering of the secrets of many diseases. Here, we examined the length of time that the RNA from postmortem tissues is available for microarray analysis and reported the gene expression profile for up- and down-regulated genes during the postmortem interval. We extracted RNA from fresh-frozen (FF) and formalin-fixed paraffin-embedded (FFPE) brains and livers of three different groups of mice: 1) mice immediately after death, 2) mice that were stored at room temperature for 3h after death, and 3) mice that were stored at 4°C for 18h after death, as this storage resembles the human autopsy process in Japan. The RNA quality of the brain and the liver was maintained up to 18h during the postmortem interval. Based on the microarray analysis, we selected genes that were altered by >1.3-fold or <0.77-fold and classified these genes using hierarchical cluster analysis following DAVID gene ontology analysis. These studies revealed that cytoskeleton-related genes were enriched in the set of up-regulated genes, while serine protease inhibitors were enriched in the set of down-regulated genes. Interestingly, although the RNA quality was maintained due to high RNA integrity number (RIN) values, up-regulated genes were not validated by quantitative PCR, suggesting that these genes may become fragmented or modified by an unknown mechanism. Taken together, our findings suggest that under typical autopsy conditions, gene expression profiles that reflect disease pathology can be examined by understanding comprehensive recognition of postmortem fluctuation of gene expression.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Expression profiling; Postmortem interval; RNA degradation

Mesh:

Substances:

Year:  2016        PMID: 27185020     DOI: 10.1016/j.yexmp.2016.05.007

Source DB:  PubMed          Journal:  Exp Mol Pathol        ISSN: 0014-4800            Impact factor:   3.362


  6 in total

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Authors:  João Paulo Lopes Born; Heloisa de Carvalho Matos; Mykaella Andrade de Araujo; Olagide Wagner Castro; Marcelo Duzzioni; José Eduardo Peixoto-Santos; João Pereira Leite; Norberto Garcia-Cairasco; Maria Luisa Paçó-Larson; Daniel Leite Góes Gitaí
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

2.  Systematic analysis of gene expression patterns associated with postmortem interval in human tissues.

Authors:  Yizhang Zhu; Likun Wang; Yuxin Yin; Ence Yang
Journal:  Sci Rep       Date:  2017-07-14       Impact factor: 4.379

3.  Cell Death-Associated Ribosomal RNA Cleavage in Postmortem Tissues and Its Forensic Applications.

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Journal:  Mol Cells       Date:  2017-06-15       Impact factor: 5.034

4.  The effects of postmortem delay on mouse and human microglia gene expression.

Authors:  Yang Heng; Marissa L Dubbelaar; Suely K N Marie; Erik W G M Boddeke; Bart J L Eggen
Journal:  Glia       Date:  2020-12-09       Impact factor: 7.452

5.  Selective time-dependent changes in activity and cell-specific gene expression in human postmortem brain.

Authors:  Fabien Dachet; James B Brown; Tibor Valyi-Nagy; Kunwar D Narayan; Anna Serafini; Nathan Boley; Thomas R Gingeras; Susan E Celniker; Gayatry Mohapatra; Jeffrey A Loeb
Journal:  Sci Rep       Date:  2021-03-23       Impact factor: 4.996

6.  Quantitative analysis of noncoding RNA from paired fresh and formalin-fixed paraffin-embedded brain tissues.

Authors:  Yehui Lv; Shiying Li; Zhihong Li; Ruiyang Tao; Yu Shao; Yijiu Chen
Journal:  Int J Legal Med       Date:  2019-12-01       Impact factor: 2.686

  6 in total

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