Single-cell RNA sequencing (scRNA-seq) identifies cell subpopulations within tissue but
does not capture their spatial distribution nor reveal local networks of intercellular …

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 …

Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life
science. It is crucial for this type of tool to use the latest annotation databases for as many …

Altered microglial states affect neuroinflammation, neurodegeneration, and disease but
remain poorly understood. Here, we report 194,000 single-nucleus microglial transcriptomes …

Mapping tumor metabolic remodeling and their spatial crosstalk with surrounding non-tumor
cells can fundamentally improve our understanding of tumor biology, facilitates the …

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 …

Background: The protumor activities of cancer-associated fibroblasts (CAFs) suggest that
they are potential therapeutic targets for the treatment of cancer. The mechanism of CAF …

Methods A public database was used to explore the expression and distribution of ACE2 in
normal pancreases. We also retrospectively analyzed patients diagnosed with COVID-19 …

Prostate cancer shows remarkable clinical heterogeneity, which manifests in spatial and
clonal genomic diversity. By contrast, the transcriptomic heterogeneity of prostate tumours is …

Reinvigoration of antitumor immunity remains an unmet challenge. Our retrospective
analyses revealed that cancer patients who took antihistamines during immunotherapy …