Identification of cadaveric liver tissues using thanatotranscriptome biomarkers

Sci Rep. 2020 Apr 20;10(1):6639. doi: 10.1038/s41598-020-63727-9.

Abstract

Thanatotranscriptome studies involve the examination of mRNA transcript abundance and gene expression patterns in the internal organs of deceased humans. Postmortem gene expression is indicative of the cellular status of a corpse at the time of death, a portion of which may represent a cascade of molecular events occasioned by death. Specific gene biomarkers identify perceptible transcriptional changes induced by stochastic responses to the cessation of biological functions. Transcriptome analyses of postmortem mRNA from a tissue fragment may determine unique molecular identifiers for specific organs and demonstrate unique patterns of gene expression that can provide essential contextual anatomical information. We evaluated the impact of targeted transcriptome analysis using RNA sequencing to reveal global changes in postmortem gene expression in liver tissues from 27 Italian and United States corpses: 3.5-hour-old to 37-day-old. We found that our single blind study using eight liver tissue-specific gene biomarkers (e.g. AMBP and AHSG) is highly specific, with autopsy-derived organ samples correctly identified as tissues originating from postmortem livers. The results demonstrate that 98-100% of sequencing reads were mapped to these liver biomarkers. Our findings indicate that gene expression signatures of mRNA exposed up to 37 days of autolysis, can be used to validate the putative identity of tissue fragments.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Autopsy
  • Biometric Identification / methods*
  • Cadaver
  • Female
  • Forensic Sciences
  • Gene Expression Profiling
  • Genetic Markers
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Liver / chemistry
  • Liver / metabolism*
  • Male
  • Middle Aged
  • RNA, Messenger / classification
  • RNA, Messenger / genetics*
  • RNA, Messenger / metabolism
  • Transcriptome*

Substances

  • Genetic Markers
  • RNA, Messenger