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

The reprogramming of somatic cells with defined factors, which converts cells from one
lineage into cells of another, has greatly reshaped our traditional views on cell identity and …

Rapid progress in the development of next-generation sequencing (NGS) technologies in
recent years has provided many valuable insights into complex biological systems, ranging …

Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of
individual cells. This provides biological resolution that cannot be matched by bulk RNA …

Abstract T helper 2 (TH 2) cells orchestrate protective type 2 immune responses, such as
those that target helminths and facilitate tissue repair, but also contribute to chronic …

Single-cell RNA-seq enables the quantitative characterization of cell types based on global
transcriptome profiles. We present single-cell consensus clustering (SC3), a user-friendly …

The immune system varies in cell types, states, and locations. The complex networks,
interactions, and responses of immune cells produce diverse cellular ecosystems composed …

Maintenance of the blood system requires balanced cell fate decisions by hematopoietic
stem and progenitor cells (HSPCs). Because cell fate choices are executed at the individual …

RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative
analysis of messenger RNA molecules in a biological sample and is useful for studying …

The differences between individual cells can have profound functional consequences, in
both unicellular and multicellular organisms. Recently developed single-cell mRNA …