Endogenous and Exogenous Small RNA Signatures as Novel Tools for Postmortem Interval Determination

These findings highlight the potential of integrated endogenous and exogenous sRNA analysis in PMI estimation, providing a high-precision, rapid diagnostic tool and revealing complex postmortem molecular processes.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2026-03-22
DOI
https://doi.org/10.3390/biom16030474
Primary Topic
Forensic Entomology and Diptera Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Endogenous and Exogenous Small RNA Signatures as Novel Tools for Postmortem Interval Determination

Zhen Zhou, Yafei Wang, Botao Li, Qinmin Chen et al.
Biomolecules
Forensic Entomology and Diptera Studies
article

Endogenous and Exogenous Small RNA Signatures as Novel Tools for Postmortem Interval Determination

Zhen Zhou, Yafei Wang, Botao Li, Qinmin Chen, Shujin Li, Yue Wang, Bin Cong, Zhonghua Wang, Guangping Fu, Chenyu Zhang
article en

Abstract

These findings highlight the potential of integrated endogenous and exogenous sRNA analysis in PMI estimation, providing a high-precision, rapid diagnostic tool and revealing complex postmortem molecular processes.

BiomoleculesVol. 16(3)
Hebei Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Nanjing Drum Tower Hospital (CN), Tianma Microelectronics (China) (CN), Nanjing University (CN)
Life in Land
Openalex Percentile: Top 13%
Forensic Entomology and Diptera Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.