Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets

Four ARGs, CD44, MIF, PIK3R1, and TLR4, identified through comprehensive analyses, served as significant biomarkers for PE and offered insights into PE's cellular mechanisms of PE, providing valuable references for further research.

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Publication Details

Journal
Journal of Inflammation Research
Published
2025-04-01
DOI
https://doi.org/10.2147/jir.s507660
Citations
2
Primary Topic
Pregnancy and preeclampsia studies
Type
article
Field-Weighted Citation Impact
4.11
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article

Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets

Xudong Dong, L. Liu, Xiuling Li, Fei Xu et al.
2 citations
Journal of Inflammation Research
Pregnancy and preeclampsia studies
4.11
article

Bioinformatic Analysis of Apoptosis-Related Genes in Preeclampsia Using Public Transcriptomic and Single-Cell RNA Sequencing Datasets

Xudong Dong, L. Liu, Xiuling Li, Fei Xu, Huili Yang
article en
2 citations

Abstract

Four ARGs, CD44, MIF, PIK3R1, and TLR4, identified through comprehensive analyses, served as significant biomarkers for PE and offered insights into PE's cellular mechanisms of PE, providing valuable references for further research.

Journal of Inflammation ResearchVol. Volume 18
Kunming University of Science and Technology (CN), First People's Hospital of Yunnan Province (CN), The First Hospital of Kunming (CN)
Openalex Percentile: Top 8%
Pregnancy and preeclampsia studies
4.11
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