Single-cell transcriptomics can profile thousands of cells in a single experiment and identify
novel cell types, states and dynamics in a wide variety of tissues and organisms. Standard …

The advent of single-cell sequencing started a new era of transcriptomic and genomic
research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type …

The treatment landscape of acute myeloid leukemia (AML) is evolving, with promising
therapies entering clinical translation, yet patient responses remain heterogeneous, and …

Transcription factors (TFs) regulate gene programs, thereby controlling diverse cellular
processes and cell states. To comprehensively understand TFs and the programs they …

The mammalian cerebral cortex has an unparalleled diversity of cell types, which are
generated during development through a series of temporally orchestrated events that are …

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

While single-cell technologies have greatly advanced our comprehension of human brain
cell types and functions, studies including large numbers of donors and multiple brain …

Large pretrained models have become foundation models leading to breakthroughs in
natural language processing and related fields. Develo** foundation models for …

Integrated in vitro models of human organogenesis are needed to elucidate the multi-
systemic events underlying development and disease. Here we report the generation of …

Background Single-cell transcriptomics is rapidly advancing our understanding of the
cellular composition of complex tissues and organisms. A major limitation in most analysis …