Welcome to the MENTOR Doctoral Network
The metabolic control of cell growth by mTOR in pathophysiology
The metabolic control of cell growth by mTOR in pathophysiology
The multi-disciplinary training network MENTOR focuses on the mTOR (mammalian/mechanistic Target Of Rapamycin) network, a central signaling hub that integrates, nutritional cues and controls cell growth and metabolism.
Aberrant mTOR activity underlies a wide range of pathologies, including age-related diseases with high incidence such as cancer, obesity, and diabetes as well as rare genetic conditions, termed mTORopathies, characterized by tumor formation, polycystic kidneys, and brain manifestations.
New mechanistic insights into mTORopathies will improve treatment for people living with rare conditions through strategies of personalized medicine and will open new therapeutic avenues for severe age-related pathologies.
MSCA-DN MENTOR program will involve 18 doctoral candidates with the overall goal of understanding and treating mTORopathies while maximizing the impact towards research and training for cancer, metabolic syndromes, and age-related diseases.
Aberrant activation of mTOR underlies monogenic diseases with broad spectrum of pathological manifestations, including tissue overgrowth, polycystic kidneys and neuropsychiatric disorders affecting around two million of people worldwide. To avoid the medical errancy of patients in different clinical departments and surgical mutilations, approaches of personalized medicine depending on the genetic landscape need to be implemented, taking advantage of suitable pharmacological products.
The training will be implemented through personalized research projects that include strong collaborations and secondments. To deepen their own background and acquire knowledge of the other disciplines, the DCs will participate in training events given by leaders in academia as well as industry (Cell Signaling Technology, BIT, Topadur). Each year, the annual conference will offer an opportunity for the DCs to critically discuss their data.