Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: A Universal Microbial Clock for Estimating the Postmortem Interval Metcalf SHSU April 2012 exp

PROVIDER: PRJEB11486 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR1086340.fastq.gz	Fastqsanger.gz
	ERR1086350.fastq.gz	Fastqsanger.gz
	ERR1086360.fastq.gz	Fastqsanger.gz
	ERR1086370.fastq.gz	Fastqsanger.gz
	ERR1086380.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 3054

Similar Datasets

Project description:A Universal Microbial Clock for Estimating the Postmortem Interval Metcalf SHSU Feb 2012 exp

| PRJEB11485 | ENA

Project description:A Universal Microbial Clock for Estimating the Postmortem Interval Metcalf Mouse exp

| PRJEB11472 | ENA

Project description:A Universal Microbial Clock for Estimating the Postmortem Interval Metcalf Fly Data

| PRJEB11498 | ENA

Project description:Metcalf - Microbial clock for estimating PMI in three geographic regions in the U.S

| PRJEB62460 | ENA

A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system

Project description:A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system

| PRJEB4628 | ENA

A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system

Project description:A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system

| PRJEB4629 | ENA

Experimental study of mRNA from human dental pulp tissue for late postmortem interval estimation

Project description:This study investigates mRNA degradation in human dental pulp to explore its utility for estimating the late postmortem interval (LPMI). Morphological changes in pulp tissue at 0, 7, 14, 21 and 28 days postmortem were observed via HE staining, showing progressive cellular degradation. High-throughput sequencing of samples at 0, 7, and 21 days identified candidate mRNAs. Five mRNA biomarkers were obtained , namely SRSF5, FGFR1, ACADVL, FOS, and LRP1. Their expression levels at 0, 3, 7, 10, 14, 21 and 28 days were quantified using RT–qPCR with 18S rRNA as the reference gene. Results demonstrated a consistent decrease in all five mRNAs over time. Mathematical models correlating mRNA levels with LPMI were established. Multi-index models exhibited superior fitting accuracy and predictive performance compared to single-index models, as validated using samples from 10, 18 and 25 days postmortem intervals, indicating greater practical applicability. This approach provides a new direction for forensic LPMI estimation research and contributes to the development of forensic pathology.

2025-11-30 | GSE311518 | GEO

Expression data from rat skeletal muscle at 0 and 48 hours of postmortem interval

Project description:Accurate estimation of the postmortem interval is critical in forensic investigations to determine the time since death. While traditional methods offer limited precision, molecular approaches based on gene expression have shown promise. mRNA retains detectable and quantifiable expression changes that reflect biological processes occurring after death. In this study, we analyzed the transcriptome of rat skeletal muscle at 0 hours (control) and 48 hours of post mortem interval to identify differentially expressed mRNAs that may serve as potential biomarkers, aiming to enhance the accuracy and reliability of PMI estimation in forensic science. Microarray analysis using the Affymetrix Clariom S Rat array (Affymetrix) facilitated a comprehensive overview of the skeletal muscle transcriptome at 48 hours of postmortem interval. This platform allowed for the simultaneous quantification of thousands of transcripts, revealing widespread gene expression alterations associated with the postmortem interval. The resulting transcriptomic profile not only provided insight into molecular changes occurring after death but also highlighted specific mRNAs as potential biomarker candidates for PMI estimation in forensic contexts.

2025-12-02 | GSE297166 | GEO

A miRNome analysis at the early postmortem interval

Project description:A miRNome analysis at the early postmortem interval

| PRJNA858828 | ENA

Project description:Eastern Tropical North Pacific Oxygen Deficient Zone April 2012

| PRJNA1083228 | ENA