A spatial transcriptomics dataset of the endometrium from repeated implantation failure patients.

ABSTRACT: Repeated implantation failure (RIF) presents a significant challenge to in vitro fertilization (IVF), and abnormalities in the endometrium often play a crucial role in RIF. To enhance and deepen our understanding of tissue context in the endometrium underlying RIF, we applied spatial transcriptomics (ST) sequencing using the 10x Visium platform to 8 endometrial tissues from 4 normal individuals (CTR) and 4 RIF patients during the mid-luteal phase in this study. We achieved 10131 high-quality spots, with a median detected gene number of 3156. Seven distinct cellular niches (Niche 1-7) with specific characteristics were identified in our data. Deconvolution of ST data was performed by integrating with a public single-cell RNA (scRNA) dataset, and it was found that unciliated Epithelia were t

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC12572259 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature