Enseignement
2021 – 2022 spring Session
Coordinators: JC.Sanchez( ) S. Rudaz ( )
Teachers: JC. Sanchez, S. Rudaz, D. Schvartz, V. González-Ruiz, A. Hainard, J. Boccard. I. Meister
Lectures: 10 weeks, 3 credits ECTS
When: Thursdays from 14:15 to 17:00 (including personal work)
Where: CMU, zoom session or presential (see Moodle)
Examination: Oral
Thursday |
Course title and/or description |
Teachers |
WEEK 1 24.02.2022 |
An Introduction (14h-15h) Electrophoresis of proteins/peptides
|
Teaching Team JC. Sanchez |
WEEK 2 03.03.2022 |
Sample preparation for proteomics
|
JC. Sanchez |
WEEK 3 10.03.2022 |
LC-MS for proteomics
|
A. Hainard |
WEEK 4 17.03.2022 |
Quantitative Proteomics
|
D. Schvartz |
WEEK 5 24.03.2022 |
Session: Questions for Proteomics (14h-15h) Sample preparation for Metabolomics (15h-16h)
|
Proteomics team V. Gonzales |
WEEK 6 31.03.2022 |
Data Acquisition in Metabolomics/Lipidomics (Part.1) Pre-treatment of Data, Annotation and Identification
|
S. Rudaz V. Gonzalez |
WEEK 7 7.04.2022 |
Data Acquisition in Metabolomics/Lipidomics (Part.2) Pre-treatment of Data, Annotation and Identification
|
V. Gonzalez I. Meister |
WEEK 8 28.04.2022 |
Data analysis in Metabolomics
|
J. Boccard |
WEEK 9 05.05.2022 |
Guided Case studies Part 1. / Omics applied to Neurotoxicity: TMT induced toxicity on embryonic rat brain
|
V. Gonzalez D. Schvartz |
WEEK 10 12.05.2022 |
Guided Case studies Part 2. (1h) Data fusion and Pathway analysis Wrap-up, Question and Open discussion (1h)
|
J. Boccard D. Schvartz |
Week 10 12.05.2022 |
Guided Case studies Part 2. (1h) Data fusion and Pathway analysis Wrap-up, Question and Open discussion (1h) |
J. Boccard D. Schvartz |
WEEK 11 19.05.2022 |
Evaluation |
Teaching Team |