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

Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …

Single-cell technologies have transformed our understanding of human tissues. Yet, studies
typically capture only a limited number of donors and disagree on cell type definitions …

Post-acute sequelae of COVID-19 (PASC," Long COVID") pose a significant global health
challenge. The pathophysiology is unknown, and no effective treatments have been found to …

Mapping single-cell sequencing profiles to comprehensive reference datasets provides a
powerful alternative to unsupervised analysis. However, most reference datasets are …

Transcriptional heterogeneity among malignant cells of a tumor has been studied in
individual cancer types and shown to be organized into cancer cell states; however, it …

Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods,
together with associated computational tools and the growing availability of public data …

Neutrophils accumulate in solid tumors, and their abundance correlates with poor prognosis.
Neutrophils are not homogeneous, however, and could play different roles in cancer …

Spatial transcriptomic technologies promise to resolve cellular wiring diagrams of tissues in
health and disease, but comprehensive mapping of cell types in situ remains a challenge …

Heart failure encompasses a heterogeneous set of clinical features that converge on
impaired cardiac contractile function, and presents a growing public health concern …