The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Five stages of single-cell sequencing (sc-seq) experimental workflow. (A) Dissociation of the desired tissue into a cellular suspension is the first step in the sc-seq experimental workflow. (B–C) ...

Single-cell sequencing applications have accelerated breakthroughs in life sciences, leading to significant impacts for disease treatments. Single-nuclei RNA-sequencing (snRNA-Seq) has been shown to ...

Shihabeddin et al utilized single-cell RNA-Seq analysis of adult P23H zebrafish animals to identify transcription factors (e2fs, Prdm1a, Sp1) expressed selectively in neural progenitors and immature ...

Single cell RNA sequencing (scRNA-seq) provides the resolution and scale to unravel the complexity of cancer biology and reveal insights to advance human health. Join Dr. Allison Stewart and Dr. Carl ...

Conventional targeted RNA-seq methods often require ... titled "Real-time and programmable transcriptome sequencing with PROFIT-seq," was published in Nature Cell Biology. PROFIT-seq introduces ...

Two independent research teams have used single-cell RNA sequencing to generate detailed molecular atlases of mouse and human airway cells. The findings, reported in two studies today (August 1) in ...

This is thanks to advances in bulk and single-cell RNA-sequencing (RNA-seq) technologies that can capture every RNA molecule expressed in a cell: its transcriptome. The computational methods ...