UPGRADING LEARNINGS (DEPENDING ON THE STUDENT ORIGINS)

• INFO: Basics in computational sciences and data management 
• BIO: Basics in biology / health
• MATH: Basics in mathematics for living sciences
• PHYS: Basics in physics for living sciences
  
  

MANDATORY LEARNING

• OMICS: Large scale acquisistion and analysis in DNA/RNA/proteins/lipids/metabolites
• IMAGING: Instrumental and technical developments in imaging : from cells to human 
• PHARMACOLOGY: Molecular and cellular tools for pharmacological investigations 
• BIOENG IN MED: Biotechnologies for synthesis of new therapeutics in cancer, ageing & rejuvenation 
• MODELLING: AI-enhanced models for pre-clinical monitoring of functions (from drug design to integrated models of large scale analyses)
• BIG DATA: Analysis and learning in massive data: from basic data to a readable and useful information

MANDATORY LEARNINGS

• BIOTHERAPIES: Rejuvenation: cellular and tissular  innovative therapeutics
• CANCER/AGEING: Shared and interactive mechanisms in cancer and ageing 
• BIOSTAT INDUST: Analysis and validation of data form industrial use
• SCI. INDUST: Knowledge of companies, business tools, Intelectual property, quality & ethics
• PHARMACO 2: Identification, targeting and development of new drugs in ageing & cancer 
• I.A.: Intelligent digital architecture and data sharing/re-use (data lake) for predictive medicine

OPTIONAL LEARNING

• CANCER 2: Omics & imaging for cancer diagnosis, prognosis & therapies 
• ONCO: Oncogene & tumor suppressor genes, microenvironment & emerging therapies 
• AGEING 2: Loss of function: from basic mechanisms to social and clinical implications 
• NEURO: Neurodegenerative processes

PHARMACOLOGICAL & THERAPEUTICAL ISSUES FOR THE FUTURE

This teaching of pharmacology dedicated to metabolism, cancer and ageing aims to provide a strong background for scientists to understand how drugs act. This entails analysis not only at the cellular and molecular level, where knowledge and models/techniques are advancing rapidly, but also at the level of physiological/biochemical mechanisms and pathological impairments. An overall organization of each course has been retained, with sections covering:

1. reminders of the main physio-pathological mechanisms underlying metabolism-related disorders, cancer and ageing,
2. the description of the in vitro and in vivo models used in these fields,
3. the identification and validation of relevant pharmacological targets and,
4. the description of the currently available treatment acting on these targets.

Of course, one important aspect of the teaching will be to present the new therapeutic strategies in the pipeline or in preclinical development. Importantly, because drug action can be understood only in the context of what happening in the body, this teaching will not only highlight the range of beneficial effects of pharmacological interventions but also the putative adverse effects that could occur in patients.

This organization reflects our belief that drug action needs to be understood, not as a mere description of the effects of individual drugs, but as a chemical intervention that impacts of the network of molecular and cellular signaling that ultimately influence the function of different tissues and organs.

ADVANCED IMAGING TECHNIQUES FOR EXPLORATION IN BIOLOGY

The main topics discussed will be:

• Which technology for which scale of analysis
• Multidimensional imaging (3D, 4D, 5D, …): How and how to analyze?
• Notion of resolution, super-resolution microscopy
• Aperture: coupling of different technologies, image spectroscopy…

TECHNOLOGIES FOR LIFE SCIENCES

This course will cover the technical principles of major technologies for molecular, cellular and tissue exploration. The objective is to present these technologies in close association with scientific issues to address the following question: Which technique should be used according to a specific scientific question?

Different aspects including technical bases of operation of different molecular, cellular and tissue exploration technologies, identification of areas of application, advantages and limitations, conditions for sample preparation will be addressed in the following areas:

• Fluorescence microscopy
• Flow Cytometry / Cell Sorting
• Proteomics
• Genomics and transcriptomics
• Metabolomics
• Technological Couplings.