The single-cell eQTLGen consortium aims to pinpoint the cellular contexts in which disease-causing genetic variants affect gene expression and its regulation.
A new high-throughput method for single-cell RNA-seq in yeast cells shows how stochastic expression of glucose-repressed genes contributes to cell-to-cell differences during adaptation to an environmental change.
Combination of experimental mouse models with single-cell RNA-sequencing creates a detailed map of medullary thymic epithelial cell development and identifies a transit-amplifying population as the immediate precursor to Aire-expressing mTECs.
Single-cell RNA analysis of brain endothelium identifies the angiogenic venous capillary subset and respective resident endothelial progenitors at the origin of CCM lesions, while arterial endothelial cells are unaffected.
Single-cell analyses of cells infected by Herpes Simplex Virus 1 revealed extreme heterogeneity among infected cells, including the robust activation of developmental gene programs in highly infected cells.
By properly accounting for gene copy number and cell-cycle effects, single cell snapshots of nascent and mature mRNA can be used to unveil the stochastic kinetics of gene activity.
Single cell analysis reveals how period differences between cells and cell-to-cell coupling generates the spatial structure of the plant circadian clock.
Single-cell RNA-sequencing and germline substitutions provide novel insights into how testis is a hotspot for evolutionary innovation of genes, expression, and mutation at the single-cell level.
