Skip to content
DraconiticResearch
Search Sources API
194,230 studies31 sourcesUpdated 4 min ago
Peer-reviewedCC BYOpen Medicine

A multi-dataset associative analysis of single-cell and bulk transcriptomic profiles in preeclampsia

  • Liu Bei1
  • Cui Xuena1
  • Wang Xiaofei1
  • Zhao Min1
  • Xu Lin1
  1. 1The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province, China
Read full textDOICite

Abstract

Preeclampsia is a multifactorial disease involving diverse pathological mechanisms and signaling pathways. However, the specific mechanism of PE is not yet completely elucidated.

Related

  1. An integrated single-cell transcriptomic and microbiome dataset of orbital adipose tissue in thyroid eye disease.
    Xiang Xu, Fei Wang, Weiqi Liu +6
    Scientific dataPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  2. Integrated transcriptomic and clinical prediction model for malignant pulmonary nodules : Model development, external dataset evaluation, and single-center expression validation
    Xingshu Zhang, Jie Yang, Ming Gong +2
    MedicinePeer-reviewedCC BYFull textGeneral medicineEurope PMCPMC
  3. Integrating single-cell RNA sequencing and transcriptome analysis to explore uric acid–related biomarkers and regulatory mechanisms in preeclampsia
    Yingping Liu, Lei Hou, Chengmao Xie +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textObstetrics, gynaecology & paediatricsCrossref
  4. Mapping Preeclampsia Risk Thresholds to Screen-Positive Rates in Routine First-Trimester Screening: A Single-Centre Audit
    Maria Cezara Mureșan, Marius Bogdan Mureșan, Dan Dumitrașcu Biriș +1
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Environmentally relevant bisphenol mixtures modify heart-brain physiology, cerebrovascular structures, and transcriptomic profiles in zebrafish larvae
    S. Lallemand, S. Ellero-Simatos, l. g. payrastre +11
    bioRxivPreprintAll rights reservedFull textPharmacology & toxicologybioRxiv

Cite

BibTeXRIS
BibTeX
@article{bei2026multidataset,
  title = {{A multi-dataset associative analysis of single-cell and bulk transcriptomic profiles in preeclampsia}},
  author = {Liu Bei and Cui Xuena and Wang Xiaofei and Zhao Min and Xu Lin},
  journal = {Open Medicine},
  year = {2026},
  month = oct,
  doi = {10.1515/med-2026-1529},
  url = {https://doi.org/10.1515/med-2026-1529},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - A multi-dataset associative analysis of single-cell and bulk transcriptomic profiles in preeclampsia
AU  - Liu Bei
AU  - Cui Xuena
AU  - Wang Xiaofei
AU  - Zhao Min
AU  - Xu Lin
PY  - 2026
DA  - 2026/10/26
JO  - Open Medicine
DO  - 10.1515/med-2026-1529
UR  - https://doi.org/10.1515/med-2026-1529
AB  - Preeclampsia is a multifactorial disease involving diverse pathological mechanisms and signaling pathways. However, the specific mechanism of PE is not yet completely elucidated.
SN  - 2391-5463
ER  -