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A study in Nature reports the identification of new germline variants associated with particular subtypes of clonal haematopoiesis of indeterminate potential (CHIP) and their links to different health outcomes.
A comparative genomics study published in Nature Communications provides new insight into the genomic changes underlying the convergent evolution of sociality in spiders.
A new study in Nature Methods describes a computational method named UTAG (unsupervised discovery of tissue architecture with graphs) that aims to identify and quantify higher-level tissue domains from biological images without previous knowledge.
Two new studies in Science characterize a CRISPR-associated nuclease–protease system that can be leveraged as a programmable protease-based RNA sensor.
In this Journal Club, Morgan Levine discusses a publication by Rose and Charlesworth that provided direct evidence of the impact of natural selection on differential ageing rates.
Inducible protein degradation technologies enable the depletion of loop extrusion factors within short time frames, leading to the rapid reconfiguration of the 3D genome. Nora and de Wit review insights from degron approaches into the molecular factors controlling genome folding and how these findings have changed our understanding of genome organization, including its role in transcription.
Mendelian defects in genes encoding factors that regulate telomere length, structure and function cause telomeropathies, or telomere biology disorders (TBDs). The authors review confirmed as well as potential TBD-causing genes and their main functions in telomere biology. They also discuss genetic features that underlie the complex nature of these diseases.
Microbiome epidemiology associates microbial community features with health outcomes, traits or exposures in human host populations. In this Review, the authors discuss ways in which various microbiome features at varying levels of resolution (community, strain, pathway or gene) influence human health using established examples of microbiome-associated changes linked with host outcomes.
In this Review, the authors describe advances in deep learning approaches in genomics, whereby researchers are moving beyond the typical ‘black box’ nature of models to obtain biological insights through explainable artificial intelligence (xAI).