Single-cell transcriptome profiling of hematopoietic stem and progenitor cells in mice

To address this, our research employed 5' scRNA-seq to ensure thorough capture of TSS data, an outcome not readily achievable with conventional 3' scRNA-seq. This technique enables the precise characterization of the transcriptome for each respective stage of cellular differentiation [CITE-seq].

To complement our 5' CITE-seq data, we also generated a 3' single-cell RNA sequencing dataset. While 5' sequencing is optimal for TSS analysis, 3'-based scRNA-seq is a robust and widely-used method for defining cell states and quantifying gene expression. This dataset serves as a foundational reference, allowing for direct comparison with the vast majority of public scRNA-seq data and providing a benchmark for validating the cellular heterogeneity within our HSPC population [3scRNAseq].