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  Tracing the dynamics of gene transcripts after organismal death

Pozhitkov, A. E., Neme, R., Domazet-Loso, T., Leroux, B. G., Soni, S., Tautz, D., et al. (2017). Tracing the dynamics of gene transcripts after organismal death. Open Biology, 7: 160267. doi:10.1098/rsob.160267.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-5636-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-7F40-9
Genre: Journal Article

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Pozhitkov, Alex E., Author
Neme, Rafik1, Author              
Domazet-Loso, Tomislav1, Author              
Leroux, Brian G., Author
Soni, Shivani, Author
Tautz, Diethard1, Author              
Noble, Peter A., Author
Affiliations:
1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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Free keywords: Gene Meters; cancer; developmental control; forensic science; postmortem transcriptome; transplantology
 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.

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Language(s): eng - English
 Dates: 2016-09-242016-12-122017-01-252017
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1098/rsob.160267
BibTex Citekey: Pozhitkov160267
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Title: Open Biology
Source Genre: Journal
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Publ. Info: Royal Society
Pages: - Volume / Issue: 7 Sequence Number: 160267 Start / End Page: - Identifier: Other: 2046-2441
Other: 2630944-0
CoNE: /journals/resource/2046-2441