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A transcriptome-based pipeline (scAAVengr) quantifies and ranks competing adeno-associated viral vectors in primate retina, and mouse brain, heart, and liver, simultaneously and across all cell types, in the same animal, with single-cell resolution.

Cellular stress in a disease-relevant cell type uncovers novel genetic effects on gene expression, which is likely relevant for disease.

A genome-wide association study using whole-genome sequencing data identifies the first known susceptibility genes for posterior urethral valves, the most common cause of kidney failure in boys, implicating the transcription factor TBX5 and planar cell polarity gene PTK7.

Integration of GWAS summary statistics with extensive 3D genomic datasets generated in a myriad of different cell types provides genomic insights into pediatric obesity pathogenesis.

A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.

Genetic variants interact with open chromatin to alter gene expression within topologically associated domains of DNA in outbred mice.

Germline mutation rates in mice are shaped by two mutator alleles that interact epistatically, showing that DNA repair defects that map to different loci can have snowballing effects.

Imaging analysis confirms ChIP-Seq data on the distinct genomic distribution of histone H1 variants in AT-rich, nuclear peripheral regions (H1.2, H1.3, H1.5, H1.0) or GC-rich, throughout the nucleus (H1.4, H1X).

A generalizable approach to understanding the logic of molecular recognition reveals the contributions of individual residues to the specificity of protein-protein interactions.