RPanglaoDB: An R Package to Download and Merge Labeled Single-Cell RNA-Seq Data from the PanglaoDB Database

This study introduced rPanglaoDB, an R package that facilitates the integration of public scRNA-seq datasets to effectively characterize rare cell types, exemplified by generating the first unbiased transcriptome profile of fibrocytes.

This study presents a new method called scMC that effectively distinguishes biological from technical variation in single-cell genomics datasets, demonstrating its ability to accurately align and detect biological signals across various experiments.

This paper provides an auditable companion package for their exploratory re-analysis of miRNA dysregulation and target enrichment in female pattern hair loss cases, focusing on candidate-level results from a public dataset comparison between affected individuals and healthy controls.

In this research, an optimized protocol was developed for dissociating human scalp tissue to produce high-quality single-cell suspensions suitable for single-cell RNA sequencing, aimed at studying the transcriptomics of human hair follicles.