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.

Integrative analysis of multi-tissue transcriptomics data of mice subjected to cold, mild warm or room temperature places the thermal adaptation of individual tissues in a whole-organism perspective.

Elucidating widespread and tissue-specific biological process alterations after myocardial infaction in metabolically active tissues using systems biology approaches.

Integrated imaging analysis of a large multi-center dataset showed that treatment of refractory aggressive behavior with hypothalamic deep brain stimulation is highly effective with specific clinical and neuroimaging features associated with treatment success.

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.

Optimising the use of transcriptomics enables screening of thousands of compounds and illustrates an approach that yields quantitative pharmacology at the single-gene and pathway level.

Multi-omic profiling of gene expression in response to reduced insulin/IGF-like-signalling reveals tissue-specific regulation of DNA damage and lysosomal mannosidase regulation of tissue homeostasis as pro-longevity responses.

A multiplexed retrograde virus tracing method captures single-neuron projectome and transcriptome simultaneously.

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

Compared to non-burn tissue, T cells in burn tissue have a pro-inflammatory rather than a homeostatic tissue-resident phenotype, and unconventional T cells in burn tissue have a higher cytotoxic capacity.