Advances in single-cell RNA sequencing (scRNA-seq) technologies in the past 10 years
have had a transformative effect on biomedical research, enabling the profiling and analysis …

Single-cell RNA sequencing (RNA-seq) techniques can perform analysis of transcriptome at
the single-cell level and possess an unprecedented potential for exploring signatures …

Recent advancements in single-cell technologies have enabled expression quantitative trait
locus (eQTL) analysis across many individuals at single-cell resolution. Compared with bulk …

Glioma is the most common type of primary CNS tumor, composed of cells that resemble
normal glial cells. Recent genetic studies have provided insight into the inter-tumoral …

The ability to quantify DNA, RNA, and protein variations at the single cell level has
revolutionized our understanding of cellular heterogeneity within tissues. Via such analyses …

Multi-omics profiling by CITE-seq bridges the RNA-protein gap in single-cell analysis but
has been largely applied to liquid biopsies. Applying CITE-seq to clinically relevant solid …

Single-cell sequencing technologies have led to a revolution in our knowledge of the
diversity of cell types, connections between biological levels of organization, and …

Nowadays, massive genomics and transcriptomics data can be generated at the single-cell
level. However, proteomics in this setting is still a big challenge. Despite the great …

The heart has been the center of numerous transcriptomic studies in the past decade. Even
though our knowledge of the key organ in our cardiovascular system has significantly …

Single-cell sequencing of RNA (scRNA-seq) has advanced our understanding of cellular
heterogeneity and signaling in developmental biology and disease. A large number of …