2026-10-10T07:20:45Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33756272 2026-09-14T20:09:57Z category_4 category_915 category_7 category_13 category_14 category_16 category_873 category_39 category_734 category_69 portal_63 item_type_3 month_year_09_2026

Dynamic Atlas and Functional Regulatory Network of the Whole-Brain Proteome Across 24-Hour Temporal States in Vespertilio sinensis Tianhui Wang (7894490) Hui Wang (30400) Xin Li (51274) Jiang Feng (286772) Biochemistry Physical Sciences not elsewhere classified Medicine Genetics Molecular Biology Physiology Chemical Sciences not elsewhere classified Ecology Biological Sciences not elsewhere classified Inorganic Chemistry vespertilio sinensis </ studying diurnal rhythms revealing partial transcript proteomic rhythmic analysis protein rhythmic decoupling induced metabolic damage diurnal regulatory landscape circadian output pathways based quantitative proteomics activated sulfur biosynthesis 7652 identified proteins 574 rhythmic proteins high energy demands energy metabolic pathways hour temporal states hour physiological states module 9 ). functional regulatory network first systematic atlas brain proteome across flight energy regulation upcoming nocturnal activity energy homeostasis hour cycle nocturnal lifestyle module 3 functional enrichment dynamic atlas brain tissues bat brain unique models series clustering powered flight performed directdia parallel transcriptomic molecular layers mammals capable eliminate flight dna repair calcium signaling antioxidant defense As the only mammals capable of powered flight, bats exhibit extreme metabolic fluctuations adapted to flight and a nocturnal lifestyle, making them unique models for studying diurnal rhythms and energy homeostasis. We performed directDIA-based quantitative proteomics on whole-brain tissues of <i>Vespertilio sinensis</i> across four distinct 24-hour physiological states: Rest, Sleep, Wake, and Activity. Among the 7652 identified proteins, a total of 643 differentially expressed proteins (DEPs) were screened via pairwise comparisons across timepoints. Time-series clustering further resolved two statistically significant temporal expression modules (Module 3 and Module 9). Combined with functional enrichment of DEPs and phase set enrichment analysis (PSEA) of 574 rhythmic proteins, our multi-layered omics results collectively uncovered stage-specific molecular adaptive patterns. The Active state upregulated oxidative phosphorylation and thermogenesis for high energy demands, the Rest state activated immune clearance and autophagy to eliminate flight-induced metabolic damage, the Sleep state suppressed global transcription, calcium signaling and DNA repair to reduce neural energy consumption, and the Wake state (pre-dusk) pre-activated sulfur biosynthesis, antioxidant defense, and energy metabolic pathways to prepare for upcoming nocturnal activity. Parallel transcriptomic and proteomic rhythmic analysis further identified 19 conserved oscillatory molecules at both molecular layers, revealing partial transcript-protein rhythmic decoupling in the bat brain and refining the diurnal regulatory landscape. As the first systematic atlas of the bat whole-brain proteome across a 24-hour cycle, this study uncovers molecular strategies maintaining brain homeostasis, providing a foundation for understanding diurnal physiological adaptation, flight energy regulation, and circadian output pathways. 2026-09-14T00:00:00Z Dataset Dataset 10.1021/acs.jproteome.6c00330.s006 https://figshare.com/articles/dataset/Dynamic_Atlas_and_Functional_Regulatory_Network_of_the_Whole-Brain_Proteome_Across_24-Hour_Temporal_States_in_Vespertilio_sinensis/33756272 CC BY-NC 4.0