The single-cell eQTLGen consortium aims to pinpoint the cellular contexts in which disease-causing genetic variants affect gene expression and its regulation.
Feiqiao Brian Yu, Paul C Blainey ... Stephen R Quake
Microfluidic-based mini-metagenomics enables the investigation of environmental microbial communities in high-throughput and with single-cell resolution, facilitating genome binning and quantification of function, abundance, and genome variation.
Frank Wolfgang Albert, Joshua S Bloom ... Leonid Kruglyak
A genetic mapping study in more than 1000 yeast individuals reveals the complexity of trans-acting genetic influences on transcriptome variation in unprecedented depth and detail.
Valentin Quiniou, Pierre Barennes ... David Klatzmann
The thymic selection of the human T-cell receptor repertoire releases polyspecific receptors with the ability to recognize and respond to peptides from unrelated viruses.
A statistical method for summarizing single-cell gene expression data identifies normal and disease-specific transcriptional programs from an atlas of 57,600 cells.
Paul M Berube, Anna Rasmussen ... Sallie W Chisholm
In the context of an organism's ecology, physiology, and macroevolutionary history, inheritance and gene loss can yield emergent patterns of trait variability that give the appearance of gene acquisition.
Multi-omic profiling of tumor-infiltrating T cells provides new insights into the differences in the effectiveness of CDK4 inhibitor between human papillomavirus (HPV)-positive and HPV-negative head and neck squamous cell carcinoma patients.