Profiling of fasting-feeding dynamics in mouse liver

Daily biological rhythms are orchestrated by a combination of the intrinsic circadian clock and external food/feeding-related signals which influence metabolism in health and disease. Understanding how and to which extent both circadian and fasting/feeding rhythms contribute to regulating daily physiology and metabolism is therefore an important ongoing effort. We generated a comprehensive proteomics dataset performing large scale time-series analysis of mouse liver obtained from feeding restricted mice over 2 full days with 16 time points in total, including as a first, a shorter post-feeding sampling-rate focus. Using our label-free absolute quantitative proteomics platform we obtained timelines with very few missing values (>99% data completeness) for over 4000 mouse liver proteoforms using 1D-LC-MS analysis of all time points and replicates (48 samples in total) allowing for robust statistical testing, as well as over 8000 mouse liver proteoforms using online 2D-LC-MS analysis of pooled replicates, providing additional depth of detection. Together our dataset provides an important resource recapitulating and extending current datasets. Our extra focus on post-feeding time points revealed a highly dynamic third metabolic period not previously observed with respect to more classic diurnal rhythmicity, providing an important addition to current knowledge.