A statistical method for summarizing single-cell gene expression data identifies normal and disease-specific transcriptional programs from an atlas of 57,600 cells.
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.
Single cell transcriptome analysis of an embryonic collective migratory cell population provides new insights into the heterogeneity of transcriptional signatures within a neural crest cell migratory stream.
Single-cell and bulk expression analyses reveal that HCMV latent infection drives cells towards a weaker immune-responsive state, which is important for its expression and reactivation.
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.
A novel live-cell mRNA imaging technology identifies individual living cells based on their gene expression and enables the concurrent study of their physiology.
In mitotically aging yeast cells, the cytosol acidifies, the distances between the organellar membranes decrease dramatically, but crowding on the scale of the average size protein is relatively stable.
Single-cell RNA sequencing reveals Nrg1/ErbB2-induced metabolic reprogramming as a pivotal event for cardiomyocyte proliferation during heart regeneration.
Crosstalk between IL10-producing immune cells and adipocytes within adipose tissue is an important determinant of thermogenesis and systemic energy balance.
