Over the past few decades, RNA sequencing has significantly progressed, becoming a
paramount approach for transcriptome profiling. The revolution from bulk RNA sequencing …

Methods for profiling genes at the single-cell level have revolutionized our ability to study
several biological processes and systems including development, differentiation, response …

Computational trajectory inference enables the reconstruction of cell state dynamics from
single-cell RNA sequencing experiments. However, trajectory inference requires that the …

Anti-angiogenic therapies (AATs) are used to treat different types of cancers. However, their
success is limited owing to insufficient efficacy and resistance. Recently, single-cell omics …

Identifying gene-regulatory targets of nuclear proteins in tissues is a challenge. Here we
describe intranuclear cellular indexing of transcriptomes and epitopes (inCITE-seq), a …

Single-cell RNA genomics technologies are revolutionizing biomedical science by profiling
single cells with unprecedented resolution, providing fundamental insights into the role of …

Abstract Oxidative modification of 5-methylcytosine (5mC) by ten-eleven translocation (TET)
DNA dioxygenases generates 5-hydroxymethylcytosine (5hmC), the most abundant form of …

Single-cell RNA sequencing (scRNA-seq) is a powerful approach for studying cellular
differentiation, but accurately tracking cell fate transitions can be challenging, especially in …

Time-series single-cell RNA sequencing (scRNA-seq) datasets provide unprecedented
opportunities to learn dynamic processes of cellular systems. Due to the destructive nature …

The recent breakthrough of single-cell RNA velocity methods brings attractive promises to
reveal directed trajectory on cell differentiation, states transition and response to …