Skip to content
DraconiticResearch
Search Sources API
203,203 studies31 sourcesUpdated 9 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Identification and analysis of obesity-cellular senescence associated key genes in metabolic syndrome based on transcriptomic data

  • Lin Zhang
  • Han Zhang
  • Qian Wang
  • Ying Zhang
  • Xiao-Ying Yuan
  • Lin Gao
  • Fan-Qv Deng
  • Xin Liao
Open at sourcePDFDOICite

Related

  1. Methylation-associated Gene Expression (MaGE): a non-invasive, in vivo measure of cellular senescence.
    D. J. Simpson, S. J. Crofts, C. Mavrommatis +11
    medRxivPreprintCC BY-NC-NDFull textEpidemiology & public healthmedRxiv
  2. Hepatocyte senescence in metabolic dysfunction–associated steatotic liver disease (MASLD)
    Xinyue Pang, Nan Geng, Chenqi Lu +5
    Hepatology communicationsPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  3. Spatial multi-omics and single-cell transcriptomics uncover senescence-associated cellular programs during colon adenoma to cancer progression
    M. Yu, Y. Xie, L. Allen +11
    bioRxivPreprintCC BYFull textOncologybioRxiv
  4. BL-DVDMS-mediated photodynamic therapy induces oxidative response associated with cellular senescence via p53/GADD45A signaling in lung cancer
    Xing Li, Minghai Ma, Yibo Mei +6
    Frontiers in PharmacologyPeer-reviewedCC BY 4.0Full textPharmacology & toxicologyCrossrefDOAJ
  5. Identification of candidate selenium-associated transcriptomic biomarkers in chronic obstructive pulmonary disease: an integrated bioinformatics and expression validation study
    Yang Li, Zhuxiu Jiang, Zhibo Xu +3
    Frontiers in medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC

Cite

BibTeXRIS
BibTeX
@article{zhang2026identification,
  title = {{Identification and analysis of obesity-cellular senescence associated key genes in metabolic syndrome based on transcriptomic data}},
  author = {Lin Zhang and Han Zhang and Qian Wang and Ying Zhang and Xiao-Ying Yuan and Lin Gao and Fan-Qv Deng and Xin Liao},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74366-x},
  url = {https://www.nature.com/articles/s41598-026-74366-x},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Identification and analysis of obesity-cellular senescence associated key genes in metabolic syndrome based on transcriptomic data
AU  - Lin Zhang
AU  - Han Zhang
AU  - Qian Wang
AU  - Ying Zhang
AU  - Xiao-Ying Yuan
AU  - Lin Gao
AU  - Fan-Qv Deng
AU  - Xin Liao
PY  - 2026
DA  - 2026/10/04
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74366-x
UR  - https://www.nature.com/articles/s41598-026-74366-x
SN  - 2045-2322
ER  -