Single-cell and bulk sequencing data are combined through theoretical modeling to reveal the number of tissue-specific stem cells, mutation, and proliferation rates under sampling.

EXOSC1 acts as an endogenous source of mutation inkidney renalclear cell carcinoma via cleaving single-stranded DNA.

A novel dual genome approach that combines genetically diverse mice and a library of bacterial mutants to define the genome-wide host pathogen interactions that drive distinct outcomes to tuberculosis.

The reanalysis of data from a recent study that claimed retrotransposon mutations are ubiquitous in the human brain outlines a general framework for the design and analysis of single-cell genomics studies.

A new mathematical model that can be applied to both single-cell and bulk DNA sequencing data sheds light on the processes governing population dynamics in stem cells.

In metastatic NSCLC patients, CHIP showed minimal impact on immunotherapy response but was more prevalent and associated with inflammatory pathways in myeloid cells, particularly in lung squamous cell carcinoma.

The absence of negative selection observed in most cancer genomes can be explained by the intrinsic genome-wide linkage in somatic evolution and creates a substantial proteotoxic load.

A comprehensive analysis of yeast mutants has provided clues to understanding the physiological conditions caused by protein overexpression.

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.

The accumulation of somatic mutations during aging is not uniform across tissue types and, in addition, shows significant variability in the source of mutation that can be modified by small molecule interventions.