The development of single-cell and spatial transcriptomics methods was instrumental in the
conception of the Human Cell Atlas initiative, which aims to generate an integrated map of …

Researchers view vast zeros in single-cell RNA-seq data differently: some regard zeros as
biological signals representing no or low gene expression, while others regard zeros as …

To the Editor—Methods for analyzing single-cell data 1, 2, 3, 4 perform a core set of
computational tasks. These tasks include dimensionality reduction, cell clustering, cell-state …

Recent years have seen a revolution in single-cell RNA-sequencing (scRNA-seq)
technologies, datasets, and analysis methods. Since 2016, the scRNA-tools database has …

The advent of single-cell RNA sequencing (scRNA-seq) has provided insight into the tumour
immune microenvironment (TIME). This review focuses on the application of scRNA-seq in …

Despite the notable success of chimeric antigen receptor (CAR) T cell therapies in the
treatment of certain haematological malignancies, challenges remain in optimizing CAR …

The immune system is a complex, dynamic, and plastic ecosystem composed of multiple cell
types that constantly sense and interact with their local microenvironment to protect from …

The concept of hepatocyte functional zonation is well established, with differences in
metabolism and xenobiotic processing determined by multiple factors including oxygen and …

Carcinomas are complex ecosystems composed of cancer, stromal and immune cells.
Communication between these cells and their microenvironments induces cancer …

Single-cell sequencing (SCS) is an emerging high-throughput technology that can be used
to study the genomics, transcriptomics, and epigenetics at a single cell level. SCS is widely …