GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE294nnn/GSE294478/primaryOK200TranscriptomicsMus musculusExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE294478GEOGSEfalseGenomic Convergence in Hibernating Mammals Elucidates the Genetics of Metabolic Regulation in the Hypothalamus [bulk RNA-seq]Extreme metabolic adaptations can elucidate genetic programs governing mammalian metabolism. Here we used convergent evolutionary changes in hibernating lineages to define conserved cis-regulatory elements (CREs) and metabolic programs. We characterized mouse hypothalamus gene expression and chromatin dynamics across fed, fasted, and refed states, then used comparative genomics of hibernating versus non-hibernating lineages to identify cis-elements with convergent changes in hibernators. Multi-omics approaches pinpointed CREs, hub genes, regulatory programs, and cell types underlying lineage divergence. Hibernators accumulated loss-of-function effects for CREs regulating hypothalamic responses, and the refeeding period after fasting served as a key phase for molecular processes with convergent evolutionary changes. This work provides a genetic framework for harnessing hibernator adaptations to understand human metabolic control. Convergent signals define cis-regulatory mechanisms behind food scarcity responses and hibernator-homeotherm divergence.2026/04/01GSE294478GSM8907740GSM8907741GSM8907720GSM8907742GSM8907743GSM8907721GSM8907744GSM8907722GSM8907723GSM8907745GSM8907746GSM8907724GSM8907747GSM8907725GSM8907726GSM8907748GSM8907749GSM8907727GSM8907728GSM8907729GSM8907730GSM8907731GSM8907732GSM8907733GSM8907734GSM8907735GSM8907736GSM8907737GSM8907738GSM890773924247294478Mus musculus