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Identification of cadaveric liver tissues using thanatotranscriptome biomarkers
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 mo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170907/ https://www.ncbi.nlm.nih.gov/pubmed/32313164 http://dx.doi.org/10.1038/s41598-020-63727-9 |
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author | Javan, Gulnaz T. Hanson, Erin Finley, Sheree J. Visonà, Silvia D. Osculati, Antonio Ballantyne, Jack |
author_facet | Javan, Gulnaz T. Hanson, Erin Finley, Sheree J. Visonà, Silvia D. Osculati, Antonio Ballantyne, Jack |
author_sort | Javan, Gulnaz T. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7170907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-71709072020-04-23 Identification of cadaveric liver tissues using thanatotranscriptome biomarkers Javan, Gulnaz T. Hanson, Erin Finley, Sheree J. Visonà, Silvia D. Osculati, Antonio Ballantyne, Jack Sci Rep Article 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. Nature Publishing Group UK 2020-04-20 /pmc/articles/PMC7170907/ /pubmed/32313164 http://dx.doi.org/10.1038/s41598-020-63727-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Javan, Gulnaz T. Hanson, Erin Finley, Sheree J. Visonà, Silvia D. Osculati, Antonio Ballantyne, Jack Identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
title | Identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
title_full | Identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
title_fullStr | Identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
title_full_unstemmed | Identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
title_short | Identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
title_sort | identification of cadaveric liver tissues using thanatotranscriptome biomarkers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170907/ https://www.ncbi.nlm.nih.gov/pubmed/32313164 http://dx.doi.org/10.1038/s41598-020-63727-9 |
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