Type 1 diabetes mellitus is believed to result from destruction of the insulin-producing β-cells
in pancreatic islets that is mediated by autoimmune mechanisms. The classic view is that …

The development of single-cell multimodal assays provides a powerful tool for investigating
multiple dimensions of cellular heterogeneity, enabling new insights into development …

Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal and treatment-refractory
cancer. Molecular stratification in pancreatic cancer remains rudimentary and does not yet …

Large single-cell atlases are now routinely generated to serve as references for analysis of
smaller-scale studies. Yet learning from reference data is complicated by batch effects …

Consistent annotation transfer from reference dataset to query dataset is fundamental to the
development and reproducibility of single-cell research. Compared with traditional …

Annotating cell types on the basis of single-cell RNA-seq data is a prerequisite for research
on disease progress and tumour microenvironments. Here we show that existing annotation …

Most methods for single-cell transcriptome sequencing amplify the termini of polyadenylated
transcripts, capturing only a small fraction of the total cellular transcriptome. This precludes …

Single-cell analysis is a valuable tool for dissecting cellular heterogeneity in complex
systems. However, a comprehensive single-cell atlas has not been achieved for humans …

Fibroblasts display extensive transcriptional heterogeneity, yet functional annotation and
characterization of their heterocellular relationships remains incomplete. Using mass …