Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as ...

Single-cell transcriptomics has revolutionized the study of cellular diversity and function by enabling gene expression ...

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

Researchers developed pig retinal organoids similar to human ones, advancing stem cell-based vision restoration and enabling ...

Using single-cell RNA sequencing, we mapped thousands of expression quantitative trait loci in yeast, including a variant in GPA1 that influences gene expression, cell-cycle occupancy, and mating ...

Here, we report the molecular programmes and lineage progression patterns controlling human OA pathogenesis using single-cell RNA sequencing (scRNA-seq). Methods We performed unbiased ...

The power of single-cell RNA sequencing (scRNA-seq) in detecting cell heterogeneity or developmental process is becoming more and more evident every day. The granularity of this knowledge is further ...

The secondary aim was to describe the transcriptional patterns in PsA patients compared with healthy controls. Methods: The study applied single-cell RNA sequencing (scRNAseq) using the BD Rhapsody™ ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as ...

The ability of single-cell RNA sequencing (scRNA-Seq) to measure gene expression in thousands of individual cells simultaneously provides a way to study the differing pathological changes in cell ...