Unlocking the potential of senescence-related gene signature as a diagnostic and prognostic biomarker in sepsis: insights from meta-analyses, single-cell RNA sequencing, and <i>in vitro</i> experiments.

Authors:
Chen J; Si J; Li Q; Zhang W; He J.

Journal:
Aging (Albany NY)

Publication Year: 2024

DOI:
10.18632/aging.205574

PMCID:
PMC10929830

PMID:
38412321

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Journal Information

Journal Title: Aging (Albany NY)

Detailed journal information not available.

Publication Details

Subject Category: Geriatrics & Gerontology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Core Indicators
Data Sharing
Evidence found in paper:

"the raw data can be downloaded from the gene expression omnibus ( https://ncbi nlm nih gov/geo/ ) and the r code used in this study is displayed in supplementary material 1 . the r code used in this study can be found in supplementary material 1 .; the raw data can be downloaded from the gene expression omnibus ( https://ncbi nlm nih gov/geo/ ) and the r code used in this study is displayed in supplementary material 1 ."

Evidence found in paper:

"CONFLICTS OF INTEREST: The authors declare that they have no conflicts of interest."

Evidence found in paper:

"FUNDING: This study received no funding from any agency."

Protocol Registration
Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025