MOOC INFLANET COURSE
Learn about inflammation and techniques ranging from recombinant protein expression to imaging analysis and mathematical models.
- Duration : 4 weeks
- Effort : 3 hours
- Rythme : 45 minutes/week
- Language : English
What you will learn
- How to express and purify recombinant protein and the methods used in structure biology to understand the function of the inflammatory mediator at the molecular level.
- How to identify the cellular actors of inflammation in vivo.
- The principles of image acquisition and image processing, to understand the nature of data from this image techniques and the latest approaches of mathematical modelling.
- Medical applications in inflammatory research, techniques on segmenting and tracking cells from inflammatory videos.
Description
The present MOOC introduces the trainees to experiments involving structural characterization of inflammatory mediators, the use of the zebrafish and mouse model, imaging analysis and mathematical modelling.
Trainees will also be introduced to the zebrafish and the mouse model to high resolution and intravital imaging, such as multiplex and 2, 3 and 4 photon microscopy.
The MOOC captures both general introduction and more specialized tools and concepts.
Format
The MOOC is made of 4 weeks of electronic lessons.
Prerequisites
The target audience are :
- Students in their first years at the University, before graduating a Bachelor, in order for them to be introduced to inflammation issues before their first laboratory internship.
- Master students interested in these disciplines or graduated students and researchers that want to implement research projects in these disciplines.
Prerequisite: basic knowledge in biology.
Course plan:
WEEK 1: STRUCTURE OF THE INFLAMMATION SENSORS
WEEK 2: CELLULAR ACTORS OF INFLAMMATION IN VIVO
WEEK 3: IMAGE ANALYSIS
WEEK 4: PATTERN RECOGNITION AND MEDICAL APPLICATION
MOOC TRAINING TEAM
- Maria Demou, from Cyprus, Marie Skłodowska-Curie PhD student at the University of Montpellier, France.
- Mayra Alejandra Aguirre García, from Colombia, Marie Skłodowska-Curie PhD student at the University of Leiden, The Netherlands.
- Saatvik Potluri, from India, Marie Skłodowska-Curie PhD student at CNRS, Paris, France.
- Eleni Grosu, from Romania, Marie Skłodowska-Curie PhD student at Radboud University, The Netherlands.
- Maria Parlani, from Italy, Marie Skłodowska-Curie PhD student at Radboud University, The Netherlands.
- Gaofeng Zhu, from China, Marie Skłodowska-Curie PhD student at The University of Edinburgh, UK.
- Nils Olijhoek, from The Netherlands, Marie Skłodowska-Curie PhD student at The University of Sheffield, UK.
- Sankeert Satheesan, from India, Marie Skłodowska-Curie PhD student at Luxendo (ex Acquifer), Germany.
- Konan Allaly, from Ivory Coast, Marie Skłodowska-Curie PhD student at TatraMed Software s.r.o.
- Giulia Lupi, from Italy, Marie Skłodowska-Curie PhD student at STUBA, Slovakia.
- Venceslas Ngounou, from Cameroun, Marie Skłodowska-Curie PhD student at Eotvos University Budapest, Hungary.
