Literature DB >> 28787088

Gene expression in the twilight of death: The increase of thousands of transcripts has implications to transplantation, cancer, and forensic research.

Alexander E Pozhitkov1, Peter A Noble2.   

Abstract

After a vertebrate dies, many of its organ systems, tissues, and cells remain functional while its body no longer works as a whole. We define this state as the "twilight of death" - the transition from a living body to a decomposed corpse. We claim that the study of the twilight of death is important to ethical, legal and medical science. We examined gene expression at the twilight of death in the zebrafish and mouse reaching the conclusion that apparently thousands of transcripts significantly increase in abundance from life to several hours/days postmortem relative to live controls. Transcript dynamics of different genes provided "proof-of-principle" that models accurately predict an individual's elapsed-time-of-death (i.e. postmortem interval). While many transcripts were associated with survival and stress compensation, others were associated with epigenetic factors, developmental control, and cancer. Future studies are needed to determine whether the high incidence of cancer in transplant recipients is due to the postmortem processes in donor organs.
© 2017 WILEY Periodicals, Inc.

Entities:  

Keywords:  DNA microarrays; gene Mmeter; postmortem gene expression; stress

Mesh:

Year:  2017        PMID: 28787088     DOI: 10.1002/bies.201700066

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  2 in total

1.  Clock gene expression and locomotor activity predict death in the last days of life in Drosophila melanogaster.

Authors:  Jia Zhao; Guy Robert Warman; James Frederick Cheeseman
Journal:  Sci Rep       Date:  2018-08-09       Impact factor: 4.379

2.  Insights into how environment shapes post-mortem RNA transcription in mouse brain.

Authors:  Raphael Severino Bonadio; Larissa Barbosa Nunes; Patricia Natália S Moretti; Juliana Forte Mazzeu; Stefano Cagnin; Aline Pic-Taylor; Silviene Fabiana de Oliveira
Journal:  Sci Rep       Date:  2021-06-21       Impact factor: 4.379

  2 in total

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