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The effects of death and post-mortem cold ischemia on human tissue transcriptomes. | LitMetric

AI Article Synopsis

  • Post-mortem tissue samples are valuable for studying gene expression, but the time since death (PMI) can significantly affect RNA levels.
  • Research utilizing GTEx project data shows that gene expression changes in a tissue-specific manner during post-mortem intervals, but these effects can be minimized with the right analytical adjustments.
  • The study reveals that the process of dying triggers specific transcriptional changes rather than random mRNA degradation, and a predictive model for estimating the time since death was created based on this analysis.

Article Abstract

Post-mortem tissues samples are a key resource for investigating patterns of gene expression. However, the processes triggered by death and the post-mortem interval (PMI) can significantly alter physiologically normal RNA levels. We investigate the impact of PMI on gene expression using data from multiple tissues of post-mortem donors obtained from the GTEx project. We find that many genes change expression over relatively short PMIs in a tissue-specific manner, but this potentially confounding effect in a biological analysis can be minimized by taking into account appropriate covariates. By comparing ante- and post-mortem blood samples, we identify the cascade of transcriptional events triggered by death of the organism. These events do not appear to simply reflect stochastic variation resulting from mRNA degradation, but active and ongoing regulation of transcription. Finally, we develop a model to predict the time since death from the analysis of the transcriptome of a few readily accessible tissues.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5811508PMC
http://dx.doi.org/10.1038/s41467-017-02772-xDOI Listing

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