The prostate gland is among the last internal organs to deteriorate during human decomposition. However, the effect of postmortem interval (PMI) on the mRNA and lncRNA expression and splicing is yet to be investigated in detail. The current study aims to identify the functional role of postmortem gene induction and pathway activation in prostate tissues with respect to the PMI gradient. Cadaver samples that were used in this study were collected during forensic autopsies and preserved at -20 °C in the morgue at the University of Pavia (Pavia, Italy). After RNA extraction, total RNA sequencing was performed on Illumina's NovaSeq 6000 using paired-ended sequencing approach. StringTie was used to perform expression level for mRNAs and lncRNAs by calculating FPKM. Additionally, mRNAs and lncRNAs differential expression analyses were performed by DESeq2. rMATS was used to identify alternative splicing events and analyze differential alternative splicing events between samples having high and low PMI. Pathway analysis of the differentially expressed genes demonstrated the enrichment of FoxO signaling, aldosterone-regulated sodium reabsorption and adipocytokine signaling pathways in prostate tissue with high PMI. Gene Set Enrichment Analysis (GSEA) indicated the positive enrichment of genes belonging from protein export, proteasome, ferroptosis, and citric acid cycle in high PMI group. A comprehensive detection of alternative splicing events (ASEs) at the cellular level in postmortem prostate tissue was performed to reveal skipped exon events to be most prominent ASE in high PMI group followed by retained intron events. Our study implies that the transcription machinery remains active in prostate tissue even after five days postmortem. The results will add profound knowledge about postmortem changes at a molecular level and can add useful information for the determination of postmortem interval, which remains a challenge for forensic pathologists.
A transcriptome-wise Atlas of human prostate as a function of postmortem interval time.
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作者:Javan Gulnaz T, Bethea Joshua, Cecchetto Giovanni, Visonà Silvia Damiana, Singh Kanhaiya
| 期刊: | Scientific Reports | 影响因子: | 3.900 |
| 时间: | 2025 | 起止号: | 2025 Nov 29; 16(1):299 |
| doi: | 10.1038/s41598-025-29561-7 | ||
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