Background selection is shown to be the dominant mode of linked selection in humans, with marked effects on diversity levels throughout autosomes.

A novel co-translational mechanism continuously adjusts the expression levels of ribosomal proteins Rpl3 and Rpl4 to their consumption during ribosome synthesis by regulating the abundance of their mRNAs.

Combining computational and experimental approaches reveals that the loss of a maternal transcription factor influences sex-biased differential splicing in the early zygotic transcriptome at genes that are critical for normal developmental processes.

Chemotherapeutics altering DNA topology evoke RNA polymerase I inhibition, rDNA damage and consequent formation of PNAs that segregate persistent rDNA lesions from the active nucleolus, with implications for rDNA maintenance and design of new cancer treatment strategies targeting rDNA repair.

In its capacity to switch into a heritable, prionogenic form, a conserved RNA-modifying enzyme epigenetically alters fundamental growth, aging, and protein synthesis properties of eukaryotic cells.

Transcription factors form clusters independently of the presence of DNA, which regulate target genes as opposed to individual monomers, addressing a longstanding question of how transcription factors can find gene targets so quickly.

Mathematical and experimental characterization of DUX4 expression dynamics in facioscapulohumeral muscular dystrophy muscle fibers, provides insights into pathology and open-source tools for in silico investigation of anti-DUX4 therapy.

Ts65dn mice exhibit structural, functional, molecular, and genetic alterations that are modulated but unrecovered by prenatal chronic GTE-EGCG, highlighting the importance of holistic studies to understand complex disorders and treatments.

The developed statistical method paves the way for next generation demographic and selection inference by combining information from several heritable genomic and epigenomic markers.