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Series GSE163207 Query DataSets for GSE163207
Status Public on Dec 15, 2020
Title Identification of mRNA expression patterns in the human blood thanatotranscriptome: “Dead, but not entirely”
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: RNA analysis of post-mortem tissues, or thanathotranscriptomics, has become a topic of interest in forensic science due to the essential information it can provide in forensic case investigations. Several studies have previously investigated the effect of death on gene transcription, but it has never been conducted with samples of the same individual.
Methods: For the first time, a longitudinal mRNA expression analysis study was performed with post-mortem human blood samples from individuals with a known time of death.
Results: The results reveal that, after death, two clearly differentiated groups of up- and down-regulated genes can be detected. Pathway analysis suggests active processes, rather than passive degradation, are the source of early post-mortem changes of gene expression in blood. In addition, a generalised linear model with an elastic net restriction predicted post-mortem interval with an RMSE of 4.88 hours.
Conclusions: Although promising, the forensic relevance of the model is currently limited and should be further improved in more extended studies.
 
Overall design RNA-Seq analysis of 54 post-mortem human blood samples
 
Contributor(s) Antiga LG, Sibbens L, Abbakouy Y, Decorte R, Van Den Bogaert W, Van de Voorde W, Bekaert B
Citation(s) 34400689
Submission date Dec 14, 2020
Last update date Aug 24, 2021
Contact name Bram Bekaert
E-mail(s) bram.bekaert@uzleuven.be
Organization name KU Leuven
Department Forensic Biomedical Sciences
Lab Department of Imaging & Pathology
Street address Herestraat 49 - box 7003 71
City Leuven
ZIP/Postal code 3000
Country Belgium
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (54)
GSM4974570 Individual 1, PMI 0
GSM4974571 Individual 1, PMI 3
GSM4974572 Individual 1, PMI 6
Relations
BioProject PRJNA685193
SRA SRP297940

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE163207_RAW.tar 9.8 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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