Tracing the dynamics of gene transcripts after organismal death

Author:

Pozhitkov Alex E.12ORCID,Neme Rafik2ORCID,Domazet-Lošo Tomislav34ORCID,Leroux Brian G.1ORCID,Soni Shivani5ORCID,Tautz Diethard2ORCID,Noble Peter A.657ORCID

Affiliation:

1. Department of Oral Health Sciences, University of Washington, PO Box 357444, Seattle, WA 98195, USA

2. Max Planck Institute for Evolutionary Biology, August-Thienemann-Strasse 2, 24306 Ploen, Germany

3. Laboratory of Evolutionary Genetics, Division of Molecular Biology, Ruđer Bošković Institute, 10002 Zagreb, Croatia

4. Catholic University of Croatia, Ilica 242, Zagreb, Croatia

5. Department of Biological Sciences, Alabama State University, Montgomery, AL 36101-0271, USA

6. Department of Periodontics, University of Washington, PO Box 357444, Seattle, WA 98195, USA

7. PhD Program in Microbiology, Alabama State University, Montgomery, AL 36101-0271, USA

Abstract

In life, genetic and epigenetic networks precisely coordinate the expression of genes—but in death, it is not known if gene expression diminishes gradually or abruptly stops or if specific genes and pathways are involved. We studied this by identifying mRNA transcripts that apparently increase in relative abundance after death, assessing their functions, and comparing their abundance profiles through postmortem time in two species, mouse and zebrafish. We found mRNA transcript profiles of 1063 genes became significantly more abundant after death of healthy adult animals in a time series spanning up to 96 h postmortem. Ordination plots revealed non-random patterns in the profiles by time. While most of these transcript levels increased within 0.5 h postmortem, some increased only at 24 and 48 h postmortem. Functional characterization of the most abundant transcripts revealed the following categories: stress, immunity, inflammation, apoptosis, transport, development, epigenetic regulation and cancer. The data suggest a step-wise shutdown occurs in organismal death that is manifested by the apparent increase of certain transcripts with various abundance maxima and durations.

Funder

Max-Planck-Society

National Cancer Institute P20 Partnership grant

Publisher

The Royal Society

Subject

General Biochemistry, Genetics and Molecular Biology,Immunology,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3