The need to reassess single-cell RNA sequencing datasets: the importance of biological sample processing.

ABSTRACT: Background: The advent of single-cell RNA sequencing (scRNAseq) and additional single-cell omics technologies have provided scientists with unprecedented tools to explore biology at cellular resolution. However, reaching an appropriate number of good quality reads per cell and reasonable numbers of cells within each of the populations of interest are key to infer relevant conclusions about the underlying biology of the dataset. For these reasons, scRNAseq studies are constantly increasing the number of cells analysed and the granularity of the resultant transcriptomics analyses. Methods: We aimed to identify previously described fibroblast subpopulations in healthy adult human skin by using the largest dataset published to date (528,253 sequenced cells) and an unsupervised po

SUBMITTER: Ascension AM 

PROVIDER: S-EPMC8984215 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature