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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
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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.
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Overall design |
RNA-Seq analysis of 54 post-mortem human blood samples
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Contributor(s) |
Antiga LG, Sibbens L, Abbakouy Y, Decorte R, Van Den Bogaert W, Van de Voorde W, Bekaert B |
Citation(s) |
34400689 |
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Submission date |
Dec 14, 2020 |
Last update date |
Aug 24, 2021 |
Contact name |
Bram Bekaert |
E-mail(s) |
bram.bekaert@uzleuven.be
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Organization name |
KU Leuven
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Department |
Forensic Biomedical Sciences
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Lab |
Department of Imaging & Pathology
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Street address |
Herestraat 49 - box 7003 71
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City |
Leuven |
ZIP/Postal code |
3000 |
Country |
Belgium |
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Platforms (1) |
GPL18573 |
Illumina NextSeq 500 (Homo sapiens) |
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Samples (54)
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GSM4974573 |
Individual 1, PMI 9 |
GSM4974574 |
Individual 1, PMI 12 |
GSM4974575 |
Individual 1, PMI 15 |
GSM4974576 |
Individual 1, PMI 18 |
GSM4974577 |
Individual 1, PMI 21 |
GSM4974578 |
Individual 1, PMI 24 |
GSM4974579 |
Individual 2, PMI 0 |
GSM4974580 |
Individual 2, PMI 3 |
GSM4974581 |
Individual 2, PMI 6 |
GSM4974582 |
Individual 2, PMI 9 |
GSM4974583 |
Individual 2, PMI 12 |
GSM4974584 |
Individual 2, PMI 15 |
GSM4974585 |
Individual 2, PMI 18 |
GSM4974586 |
Individual 2, PMI 21 |
GSM4974587 |
Individual 2, PMI 24 |
GSM4974588 |
Individual 3, PMI 0 |
GSM4974589 |
Individual 3, PMI 3 |
GSM4974590 |
Individual 3, PMI 6 |
GSM4974591 |
Individual 3, PMI 9 |
GSM4974592 |
Individual 3, PMI 12 |
GSM4974593 |
Individual 3, PMI 15 |
GSM4974594 |
Individual 3, PMI 18 |
GSM4974595 |
Individual 3, PMI 21 |
GSM4974596 |
Individual 3, PMI 24 |
GSM4974597 |
Individual 4, PMI 0 |
GSM4974598 |
Individual 4, PMI 3 |
GSM4974599 |
Individual 4, PMI 6 |
GSM4974600 |
Individual 4, PMI 9 |
GSM4974601 |
Individual 4, PMI 12 |
GSM4974602 |
Individual 4, PMI 15 |
GSM4974603 |
Individual 4, PMI 18 |
GSM4974604 |
Individual 4, PMI 21 |
GSM4974605 |
Individual 4, PMI 24 |
GSM4974606 |
Individual 5, PMI 0 |
GSM4974607 |
Individual 5, PMI 3 |
GSM4974608 |
Individual 5, PMI 6 |
GSM4974609 |
Individual 5, PMI 9 |
GSM4974610 |
Individual 5, PMI 12 |
GSM4974611 |
Individual 5, PMI 15 |
GSM4974612 |
Individual 5, PMI 18 |
GSM4974613 |
Individual 6, PMI 0 |
GSM4974614 |
Individual 6, PMI 3 |
GSM4974615 |
Individual 6, PMI 9 |
GSM4974616 |
Individual 6, PMI 12 |
GSM4974617 |
Individual 6, PMI 15 |
GSM4974618 |
Individual 6, PMI 18 |
GSM4974619 |
Individual 6, PMI 21 |
GSM4974620 |
Individual 6, PMI 24 |
GSM4974621 |
Individual 7, PMI 0 |
GSM4974622 |
Individual 7, PMI 3 |
GSM4974623 |
Individual 7, PMI 6 |
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Relations |
BioProject |
PRJNA685193 |
SRA |
SRP297940 |
Supplementary file |
Size |
Download |
File type/resource |
GSE163207_RAW.tar |
9.8 Mb |
(http)(custom) |
TAR (of TXT) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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