Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

Improved scale, multiplexing and resolution are establishing spatial nucleic acid and protein
profiling methods as a major pillar for cellular atlas building of complex samples, from …

Abstract CellMarker 2.0 (http://bio-bigdata. hrbmu. edu. cn/CellMarker or http://117.50.
127.228/CellMarker/) is an updated database that provides a manually curated collection of …

Single-cell transcriptomics (scRNA-seq) has greatly advanced our ability to characterize
cellular heterogeneity. However, scRNA-seq requires lysing cells, which impedes further …

Anti-angiogenic therapies (AATs) are used to treat different types of cancers. However, their
success is limited owing to insufficient efficacy and resistance. Recently, single-cell omics …

Recent developments of sequencing-based spatial transcriptomics (sST) have catalyzed
important advancements by facilitating transcriptome-scale spatial gene expression …

Cancers are a group of heterogeneous diseases characterized by the acquisition of
functional capabilities during the transition from a normal to a neoplastic state. Powerful …

Ulcerative colitis and Crohn's disease are chronic inflammatory intestinal diseases with
perplexing heterogeneity in disease manifestation and response to treatment. While the …

Background Heterogeneity in single-cell RNA-seq (scRNA-seq) data is driven by multiple
sources, including biological variation in cellular state as well as technical variation …

The simultaneous measurement of multiple modalities represents an exciting frontier for
single-cell genomics and necessitates computational methods that can define cellular states …