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Single-cell RNA sequencing to delineate the comprehensive postnatal RC enthesis growth from as early as postnatal day 1 to postnatal day 56.

Single-cell transcriptomic analyses of hypothalamic POMC neurons performed at seven developmental ages revealed marked cellular heterogeneity and divergent developmental pathways into alternative neuronal phenotypes that lack POMC.

Dropouts in single cell RNA sequencing data are associated with cell states and can affect gene signature scoring if methods do not account for them.

A meta-analysis of single-cell data reveals an advanced and conserved polarisation state of SPP1⁺ macrophages in multiple human fibrotic tissues.

Understanding novel cell types and their evolutionary history is re-evaluated using single nuclei transcriptomic approaches and their inferred underlying gene regulatory networks.

Reanalysis reveals the impact of quality control and differential analysis methods on the discovery of disease-associated genes on the first Alzheimer's disease single-nucleus RNA-seq dataset.

Variation in efficiency, speed and path during transdifferentiation and reprogramming originates from two pre-B cell subpopulations with reciprocal propensity towards each fate conversion.

Sequencing and counting RNAs from single cells can create a misleading picture of alternative splicing if too many mRNAs are lost in the process.

Bulk and single-cell RNA-seq data demonstrated that muscle stem cells express low levels of canonical endothelial cell markers, including VEGFA receptors, and VEGFA-FLT1 pathway has a drastic effect on muscle stem cell survival through AKT1 in vitro and in vivo.

Single-cell transcriptomes of larval zebrafish whole brain shed light on the multidimensional landscapes of transcription factors and post-transcriptional regulators in vertebrate whole-brain neuronal classification and revealed principles of how neuronal cell diversity develops and evolves.