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Phase-specific mechanical and proteomic analyses reveal how tendon responds to its mechanical environment during postnatal development to meet functional requirements.

Integrated phylogenomics and mitochondrial DNA inventory of net-winged beetles across three continents suggest ~1000 undescribed species, biodiversity hot spots, and phylogeny-based classification that sets up the basis for further research.

A new machine-learning toolbox unveils coevolutionary protein motifs related to structure, function, and phylogeny from sequence information only.

A computational framework allows the unsupervised analysis of samples from single cell data across conditions, inference of multicellular programs associated with disease, and meta-analysis of independent patient cohorts.

Advanced statistical and computational methods are reviewed and compared for integrating microbiome, host genomics, and metabolomics data, together with future research directions.

Indomethacin, a nonsteroidal anti-inflammatory drug, alters the composition of the intestinal microbiota, and the intestinal microbiota affect the pharmacokinetics of indomethacin.

Random sequence RNA pools display an innate capacity for ligation and recombination, enabling them to “bootstrap” themselves towards higher compositional, informational and structural complexity.

Cryo-EM structure of the mammalian respiratory supercomplex containing complexes I, III and IV shows a functional asymmetry of complex III, providing strong evidence for directed electron flow in the respirasome.

Compositional changes alter actin binding by phase separated T cell signaling clusters, enabling cluster movement by distinct actin networks.

Integration of clinical patient data, pathogen information and a multi-omic analysis of the gut microbiome reveals key determinants of disease in C. difficile-colonized patients.