Related Experiment Video
Updated: Jul 4, 2026

05:23
Murine Bioluminescent Hepatic Tumour Model
Published on: July 17, 2010
16.8K
Dynamics of Postmortem Gene Expression in Normal and Neoplastic Murine Liver
Evgeny E Buyko1, Ekaterina A Perina1, Danil S Sobakin1
1Central Research Laboratory, Siberian State Medical University, 634050 Tomsk, Russia.
Life (Basel, Switzerland)
|May 4, 2026
Summary
Postmortem interval (PMI) significantly alters gene expression in normal tissues, while tumor tissues remain stable. This convergence impacts biobanking for transcriptomic research.
Area of Science:
- Biomedical Research
- Molecular Biology
- Oncology
Background:
- Postmortem (autopsy) tissues are valuable for research, enabling large sample cohorts.
- Early postmortem cellular stress activates survival genes, many crucial for tumor cell survival.
- Understanding postmortem interval (PMI) effects on gene expression is vital for reliable transcriptomic studies.
Purpose of the Study:
- To investigate the influence of postmortem interval (PMI) duration on gene expression in normal and tumor tissues.
- To analyze gene expression dynamics in hepatocellular carcinoma models over a 24-hour PMI.
- To assess the impact of PMI on specific genes involved in DNA repair and cell cycle regulation.
Main Methods:
- Utilized a chemically induced hepatocellular carcinoma mouse liver model.
- Compared gene expression dynamics of BRCA1, BRCA2, CHEK1, CHEK2, ATM, and CDK12 in paired normal and tumor tissues.
- Employed RT-qPCR analysis over a 24-hour postmortem interval (PMI).
Main Results:
- Normal liver tissue showed significant increases in gene expression over the 24-hour PMI.
- Tumor tissue exhibited relative transcriptional stability with no substantial changes in studied gene levels.
- Expression profiles converged by 24 hours PMI, eliminating initial differences between normal and tumor tissues, despite adequate RNA quality.
Conclusions:
- Standard RNA quality and histology criteria are insufficient to detect critical postmortem molecular changes.
- Minimizing and controlling PMI is crucial for reliable transcriptomic analysis of biobanked oncological samples.
- Postmortem interval duration significantly impacts gene expression, necessitating careful consideration in research design and sample handling.

