This study provides useful insights into addressing the question of whether the prevalence of autoimmune disease could be driven by sex differences in the T cell receptor (TCR) repertoire, correlating ...

Spatial RNA medicine combines transcriptomics and RNA therapeutics, mapping gene expression in tissues to enhance precision ...

Computational biology expert Nadia Lanman helps cancer researchers find solutions in massive datasets generated through ...

Human gene maps contain major blind spots because they were built largely from the DNA sequences of people with European ...

Single-cell sequencing provides unprecedented detail into cell-to-cell variability, uncovering key biological mechanisms in ...

Scientists have pinpointed precise regions in the human genome where DNA is most likely to develop a mutation. At spots where RNA polymerase 'opens' your DNA to read and copy instructions – known as ...

Using termite and cockroach genomes, researchers built phylogenetic trees from transposons, paving a new way to differentiate ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...

Abstract: Single-cell RNA sequencing (scRNA-seq) technology enables the analysis of gene expression in individual cells, allowing for a deeper exploration of heterogeneity in organisms and complex ...