Yun Mo

No ORCID on file · 14 papers in corpus · active 2021-2026

Study types

  • dataset 11
  • article 2
  • other 1

Condition tags

  • endometriosis 14
other 2026
Cross-platform comparison of the quality, reliability, and engagement of endometriosis-related videos on TikTok and Bilibili: A cross-sectional study
Digital health ·doi:10.1177/20552076261433087

OBJECTIVE: To evaluate the quality, reliability, and user engagement of endometriosis-related videos on TikTok and Bilibili, identifying variations by platform, uploader type, and content category to inform digital health strategies. METHO…

dataset 2021
Additional file 10 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926799

Additional file 10. Differentially expressed genes of all M cells subclusters.

dataset 2021
Additional file 11 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926802

Additional file 11. Differentially expressed genes of FB clusters among endometriosis lesions, eutopic endometrium, and normal endometrium.

dataset 2021
Additional file 12 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926805

Additional file 12. Differentially expressed genes of CD4+ T cells along the pseudotime trajectory.

dataset 2021
Additional file 1 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926808

Additional file 1: Figure S1. Study flow chart. Single-cell RNA-sequencing. Figure S2 a-g. Enriched functions of FBs, Eps, ECs, T cells, NK cells, M cells, ast cells and neutrophils by GO and KEGG analyses. Figure S3. Single-cell RNA-seq an…

dataset 2021
Additional file 3 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926817

Additional file 3. Differentially expressed genes of FBs, M cells, NK cells, T cells, ECs, Eps, mast cells, and neutrophils.

dataset 2021
Additional file 4 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926820

Additional file 4. Differentially expressed genes of all FBs subclusters.

dataset 2021
Additional file 5 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926823

Additional file 5. Differentially expressed genes of FBs along the pseudotime trajectory.

dataset 2021
Additional file 6 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926826

Additional file 6. The relative ratio of immune cells in endometriosis lesions, eutopic endometrium, and normal endometrium.

dataset 2021
Additional file 7 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926829

Additional file 7. Differentially expressed genes of all T cells subclusters.

dataset 2021
Additional file 8 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926832

Additional file 8. The relative ratio of T cells subclusters in endometriosis lesions, eutopic endometrium, and normal endometrium.

dataset 2021
Additional file 9 of Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
·doi:10.6084/m9.figshare.14926835

Additional file 9. Differentially expressed genes of all NK cells subclusters.

article 2021
Single-cell transcriptomic analysis of endometriosis provides insights into fibroblast fates and immune cell heterogeneity
Cell & bioscience ·doi:10.1186/s13578-021-00637-x

BACKGROUND: Endometriosis is an oestrogen-dependent disease with an unclear aetiology and pathogenesis affecting 6-10% of the global female population, predominantly those of reproductive age. Herein, we profile the transcriptomes of approx…

article 2021
Single-Cell Transcriptomic Analysis of Endometriosis Provides Insights Into Fibroblast Fates and Immune Cell Heterogeneity
·doi:10.2139/ssrn.3780107