Integrating proteogenomics approach and system biology to investigate the role of melanopsin and TRP channels in the circadian rhythmicity

• Grant number: 20/04524-8
• Support type: Scholarships in Brazil - Post-Doctorate
• Effective date (Start): April 01, 2020
• Effective date (End): March 31, 2022
• Field of knowledge: Biological Sciences - Physiology - Physiology of Organs and Systems
• Principal researcher: Ana Maria de Lauro Castrucci
• Grantee: José Thalles Jocelino Gomes de Lacerda
• Home Institution: Instituto de Biociências (IB). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 17/24615-5 - Breaking a paradigm? Melanopsin, a canonical photo-pigment, acting as sensor to entrain the clock in light unexposed organs, and its putative interaction with TRP channels: a trans-disciplinary study involving physiological and pathological aspects, AP.TEM

Abstract

This proposal has as main approach the proteomics by LC-ESI-MS/MS, to comparatively evaluate heart, brown adipose, and white adipose tissues among WT and KO animals and, therefore, to better understand the role of Opn4, TrpV1, TrpM8, TrpA1, and AdrB1 genes and their associations in the physiology of circadian rhythm under conditions of metabolic stress (Obesity and Cancer Cachexia) and low temperature. Although transcriptome analysis may provide valuable information about this picture, some studies have reported differences between transcriptome and proteomics data due to post-transcriptional and Post-Translational Modifications (PTMs). Some PTMs regulate transcription factors and, consequently, modulate the transcriptome. In addition, PTMS such as phosphorylation, ubiquitination, glycosylation, biotinylation, acetylation) take part in the mechanism by which the circadian clock controls the metabolism. Having this in mind, the aims of this proposal are: (1) to comparatively analyze proteomics of WT and KO mouse tissues for the mentioned genes and also of tissue explants or culture. (Label-free quantification ou TMT-MS); (2) to utilize transcriptome data as a data bank for proteomics analysis; (3) to compare the quantitative data of transcriptome and proteonomics; (4) from the comics data, to realize the analysis of functional enrichment and to create networks of protein-protein interactions to better understand the alterations of metabolic pathways and biological processes; (5) to realize a comparative analysis of PTMs. (AU)