Ziel
Lipid droplets (LDs) are evolutionarily conserved dynamic organelles dedicated to storage of fat. Relatively little is known about the molecular processes that regulate nascent LD formation at specific sites in the endoplasmic reticulum (ER). Understanding LD biogenesis and degradation is crucial for deciphering the pathophysiology of LD storage disorders, like obesity, diabetes type-2, atherosclerosis, and lipodystrophy. The main objective of this project is to precisely map and characterize LD biogenesis sites in the ER using the model eukaryote, S. cerevisiae. One reason so little is known about the earliest stages of LD biogenesis is that until recently we have not had tools to visualize and characterize these sites. However, I have generated a yeast strain in which it is possible to use electron microscopy to image the earliest stages of LD biogenesis. In a recently published study I used this strain to characterize early stages of LD biogenesis and I propose to use this strain to investigate the role of a number of proteins in LD biogenesis by using mutants lacking these proteins. In addition, I have developed the first fluorescent protein marker of sites of nascent LD biogenesis. This new protein will allow me to use fluorescent microscopy to visualize LD biogenesis in live cells and in mutants lacking proteins known to be involved in LD biogenesis. I will also use this protein as a molecular tool to identify proteins and lipids that are enriched at LD biogenesis sites in the ER by performing immuno-purification and mass-spec analyses. The proposed studies will reveal and identify proteins and lipids necessary for the earliest stages of LD biogenesis and will make possible future mechanistic studies of LD biogenesis. My participation in “LD_biogenesis” will broaden my scientific expertise and hone my competences in becoming a successful project investigator.
Wissenschaftliches Gebiet
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht.
- medical and health sciencesbasic medicinephysiologypathophysiology
- medical and health sciencesclinical medicinecardiologycardiovascular diseasesarteriosclerosis
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- medical and health sciencesclinical medicineendocrinologydiabetes
- medical and health scienceshealth sciencesnutritionobesity
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenFinanzierungsplan
MSCA-IF-EF-RI - RI – Reintegration panelKoordinator
1700 Fribourg
Schweiz