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A study in Science investigating bacterial defence mechanisms against phages reports a novel mode of gene regulation through reverse transcription of a non-coding RNA template, leading to the formation of a toxic repetitive gene.
Duttke et al. show that transcription factors have position-dependent effects relative to their distance from the transcription start site, which suggests that a 'spatial grammar' could be used to encode multiple gene-regulatory programmes.
Two studies in Nature reveal the mechanistic and structural properties of a family of mobile genetic elements that can be reprogrammed to engineer genome modifications.
Petrazzini et al. leverage exome sequencing data and a novel machine learning-based marker to identify rare and ultra-rare coding variants associated with coronary artery disease.
Logsdon et al. report the second complete sequence of all centromeres from a single human genome, enabling comparative analyses of the variation in tandemly repeating α-satellite DNA.
A paper in Nature Genetics identifies a mechanism involving the transcription factor DUXBL that controls the development of early embryonic mouse cells past stages marked by totipotency.
A paper in Nature reports a ‘Z-DNA-anchored’ model for the target specificity of the transcription factor AIRE, involving promoter poising at double-strand breaks.
A publication in Nature reports the data release of around 245,000 clinical-grade whole-genome sequences as part of the NIH’s All of Us Research Programme. Several companion papers highlight the value of better capturing global genomic diversity.
A study in Science reports that corn snakes use both PRDM9 and promoter-like features to direct meiotic recombination, indicating that these are not mutually exclusive.
A study in Nature Genetics identifies many regulators of genome-wide chromatin accessibility and then reports the mechanistic underpinnings for one of the identified transcription factors.
The Farm Animal GTEx project introduces a new resource for pigs, in which they map genetic variation to differences in gene expression across thousands of samples.