Skip to content
DraconiticResearch
Search Sources API
190,332 studies31 sourcesUpdated 41 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

The development of a predicti on model for ovarian cancer patients based on the monocyte/macrophage cell marker genes identified by the scRNA-seq data

Related

  1. Multi-omics reveals a monocyte-macrophage-fibroblast axis in post-COVID-19 fibroinflammatory lung remodelling
    P. Mehta, C. M. A. Mawer, G. Beattie +25
    bioRxivPreprintAll rights reservedFull textSystems & synthetic biologybioRxiv
  2. A protocol for monocyte isolation and monocyte-derived M1 macrophage generation from umbilical cord blood
    Soheil Nouri, Ehsan Baghban, Masoud Soleimani
    Scientific ReportsPeer-reviewedCC BY 4.0Full textImmunologyCrossref
  3. Monocyte-macrophage sensing of calciprotein particles in CKD-associated vascular calcification: lysosomal stress and inflammasome activation
    Zhiqiang Xu, Yuying Jiang, Kangwei Wang +1
    Frontiers in ImmunologyPeer-reviewedCC BY 4.0Full textImmunologyGeneral medicineCrossrefDOAJ
  4. Serum context shapes macrophage baseline state and LPS responsiveness in human monocyte-derived macrophages
    Nicoleta Carmen Cosma, Neriman Eren, Livius Penter +1
    Frontiers in ImmunologyPeer-reviewedCC BY 4.0ImmunologyFrontiersCrossref
  5. Damage-Associated Molecular Patterns and Trained Immunity of Monocyte-Macrophage Populations in Osteoarthritis: Potential Molecular Links and Therapeutic Opportunities.
    Jian Zhang, Bingbing Chen, Yundong Xu +5
    CellsPeer-reviewedCC BYFull textCell biologyEurope PMC
BibTeX
@article{xia2026development,
  title = {{The development of a predicti on model for ovarian cancer patients based on the monocyte/macrophage cell marker genes identified by the scRNA-seq data}},
  author = {Yunsong Xia and Guanghua Zhou and Yuxuan Yi and Qian Feng and Ruoxing Zhou and Wu Mingqing},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-55254-w},
  url = {https://www.nature.com/articles/s41598-026-55254-w},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - The development of a predicti on model for ovarian cancer patients based on the monocyte/macrophage cell marker genes identified by the scRNA-seq data
AU  - Yunsong Xia
AU  - Guanghua Zhou
AU  - Yuxuan Yi
AU  - Qian Feng
AU  - Ruoxing Zhou
AU  - Wu Mingqing
PY  - 2026
DA  - 2026/10/09
JO  - Scientific Reports
DO  - 10.1038/s41598-026-55254-w
UR  - https://www.nature.com/articles/s41598-026-55254-w
SN  - 2045-2322
ER  -