Shi, Yaxin
No ORCID on file
· 8 papers in corpus
· active 2021
Study types
- dataset 6
- other 2
Condition tags
- adenomyosis 8
Frequent coauthors
- Liu, Hongyun 8
- Liang, Na 8
- Liu, Zhiyong 8
- Niu, Weipin 8
- Sun, Zhonghua 8
- Wei Shi 8
- Wang, Xin 8
- Wang, Yanfei 8
- Xu, Li 8
- Xin Wang 8
dataset
2021
Additional file 1: Figure S1. HE staining and QC. (A) Samples from the AM_CTRL, AM_EM and AM_EC groups were HE stained, and the black arrow shows the gland invading the muscular layer. (B) X axis represents the number of UMI in each cell, a…
dataset
2021
Additional file 2: Table S1. Doublet score and predicted doublets.
dataset
2021
Additional file 3: Table S2. DEGs of AM_EC vs. AM_EM (all cell types).
dataset
2021
Additional file 4: Table S3. Coexisting genes in Venn.
dataset
2021
Additional file 5: Table S4. DEGs of AM_EC vs. AM_EM (epithelial cells).
dataset
2021
Additional file 6: Table S5. Clinical characteristics of AM patients and hysteromyoma samples used in this study.
other
2021
Abstract Background Adenomyosis (AM) is a common benign chronic gynaecological disorder; however, the precise pathogenesis of adenomyosis is still poorly understood. Single-cell RNA sequencing (scRNA-seq) can uncover rare subpopulations, ex…
other
2021
Abstract Background Adenomyosis (AM) is a common benign chronic gynaecological disorder; however, the precise pathogenesis of adenomyosis is still poorly understood. Single-cell RNA sequencing (scRNA-seq) can uncover rare subpopulations, ex…