Single-cell RNA-sequencing (scRNA-seq) studies have transformed our understanding of cellular diversity in the human intestine, but differences in anatomical sampling, experimental processing and cell-type nomenclature limit comparison across datasets. Here, we present the Human Gut Cell Atlas (HGCA) V1, a community-cu...
Kyle J. Kimler, Christopher Lance, B. Bohar et al.· bioRxiv· 0 citations
The mechanisms underlying type 2 diabetes-associated cognitive dysfunction (DACD) remain poorly understood, hindering therapeutic progress. Here, we integrated spatial transcriptomics and single-nucleus RNA sequencing to delineate the spatiotemporal molecular and cellular landscape of DACD in brain tissues from 3- and...
Wei Wu, Yu-Meng Yang, Xi-Xi Zhang et al.· Proceedings of the National...· 0 citations
While computational deconvolution is routinely used to estimate cell-type proportions from tissue mixtures, reconstructing cell-type-specific transcriptomes at single-sample resolution remains a fundamentally underdetermined algorithmic challenge. Consequently, accurate single-sample, gene-level inference is rarely ach...
Ze Zhang, Xu Wang, Fan Hong et al.· Cell Regeneration· 0 citations
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