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A human experimental model for physiological glucocorticoid exposure and glucocorticoid withdrawal identifies a multi-omic cluster, including microRNA miR-122-5p and metabolites, associated with glucocorticoid-responsive genes.

Publicly available gene expression data and proven methodologies for building model Gene Regulatory Networks are applied to successfully construct the IGF1 signaling GRN behind alveologenesis, serving as a pioneer in transforming how lung development and its associated diseases is approached.

Genes associated with age-based division of labor in ants exist in distinct regulatory and evolutionary contexts; genes up-regulated in young nurses are loosely connected and rapidly evolving while genes up-regulated in old foragers are highly connected and conserved.

The iPSCs derived from OA cartilage showed memory of disease which affect its chondrogenic potential and regulation at epigenetic and metabolic level may be used to control the regenerative potential of these iPSCs.

An unbiased transcriptomic analysis enhances understanding of inflammatory pathways and genes linked to TBM pathogenesis and mortality, identifying potential markers for poor prognosis or therapeutic targets.

Integrative analysis of a specialized metabolic pathway across multiple non-model species illustrates mechanisms of emergence of chemical novelty in plant metabolism.

Expression of Pitx2c at the onset of gastrulation drives convergence and extension movements in the zebrafish embryo by promoting downstream pathways affecting chemokine signaling, integrin-ECM interactions, and planar cell polarity components.

Detailed analysis of the sequence of monocyte differentiation into distinct gut tissue macrophages provides insights into monocyte biology and can serve as a platform for the design of cell therapies.

RNAseq and ATACseq are utilized to identify transcription factors participating in striatal compartmentation into striosome and matrix, and roles for Stat1, Olig2, and Foxf2 are validated in vitro and in vivo.

Longitudinal transcriptomic analysis of unvaccinated patients reveals that early NK cell cytotoxicity activation distinguishes mild from severe COVID-19, supporting the relevance of concerted innate–adaptive immune responses against the virus.