2019
September 23rd
September 28th
Vignette
International course

Computational Systems Biology of Cancer

Single Cell Analysis - 2nd Edition

Systems biology approaches help to analyse molecular mechanisms in silico The diversity across tumors from different patients and even across cancer cells from the same patient makes the picture very complex, making the fundamental aim to find a common mechanism for therapeutic targeting of cancer becomes unpractical. Therefore, the idea of ‘personalized’ or ‘precision’ medicine has been suggested, aiming to find tailored treatment regimen for each patient according to the individual genetic background and tumor molecular profile. This attempt, although ambitious, is achievable thanks to sufficient molecular characterization of cancers accumulated using high-throughput technologies. However, despite availability of cancer high-throughput (omics) data, they are not fully exploited to provide the clue on deregulated mechanisms that would guide better patients stratification and to specific treatment in cancer.

We invited leading speakers from different fields in cancer systems biology, especially from the field of system biology of single cell data in cancer. The invited speakers will expose various approaches for single cell data analysis and interpretation using cell type-specific pathways resources; tools to study molecular mechanisms of cancer using signalling networks together with omics data from single cells and to associating it to clinical data. In addition, drug sensitivity prediction algorithms, biomarkers and cancer drivers identification; patient stratification approaches; application of mathematical modelling, machine learning and image analysis in cancer approaches with focus on single cell data will be demonstrated.

 

Course in English
4 ECTS
Registration deadline

Presentation

Objectives

The objective of the course is to promote better integration of computational approaches into biological and clinical labs. We aim to help participants to improve interpretation and use of omics data that nowadays are accumulated in any biological or medical lab.  This year, the course will particularly focus on SysBio approaches for single cell data analyses. We will review current methods and tools for the analysis and interpretation of single cell data, along with concrete applications related to cancer. In particular, we will emphasize the role of single cell data research for understanding the heterogeneity of tumor and its microenvironment.

Workshops

 

Talk/Flash talk, Poster presentation, Article presentation on journal club

Personal work

In addition to attendance of the lectures, the participants of the course are expected to take part in the following events:

-Presentation of their own scientific project with a flash presentation and a poster (for PhD Students and Post-docs).

-Participation in the Journal Club to present and discuss milestone papers in the cancer systems biology field. Scientific papers within the main topics covered by the course will be sent to the accepted applicants for presentations during the journal club (for Master students).

-Participation in the Career development workshop during the Saturday morning session (all participants).

University credits (ECTS)

The course will be validated by 4 ECTS for Master and PhD students.

Evaluation

Evaluation of students (by scientific committee)

-Master students will be evaluated according to their presentation on the Journal club + general activity during scientific discussions

-PhD students will be evaluated according to the flash presentations + posters + general activity during scientific discussions

Post-doc applicants are requested to present a flash presentation and a poster on their scientific research.  Most significant abstract will be chosen for prolonged, 15 minutes talks.

Practical information

Details

The course will contain the following topics:

Deciphering and modelling of biological networks involved in cancer

-Comprehensive signalling/metabolic networks and pathway databases in cancer

-Cell type-specific pathways resources

-Single cell omics data visualisation, analysis and interpretation

-Network inference from big data

-Mathematical modelling of cancer molecular mechanisms

Big data: single cell and clinical data analysis

-Inferring and analysing tumour heterogeneity from single cell data

-Prediction of response to treatment

-Single cell data for more precise patients’ stratification

-Bioimage informatics as high‐content screening in single cell research

-Spatial transcriptomics in organs

Career development workshop (half a day on Saturday)

Introduction to career development opportunities in computational systems biology of cancer. Presentation of career paths and assistance of students by (round tables):

-Invited speakers

-Pharma representatives

-Scientific editing bodies

Informations pratiques détaillées

Career development workshop (half a day on Saturday)

Introduction to career development opportunities in computational systems biology of cancer. Presentation of career paths and assistance of students by (round tables):

-Invited speakers

-Pharma representatives

-Scientific editing bodies

Selection result
July 31st, 2019
No inscription fees

Registration is mandatory to all categories of attendees.

No registration fees are requested.

Lunches, coffee breaks, opening reception and farewell buffet will be provided for free during the course.

Note that the accommodation and travel expenses must be arranged with the home institution of the attendees.

Location
Bâtiment de Biologie du Développement - Amphithéâtre
11-13 Rue Pierre et Marie Curie, 75248 Paris cedex 05
Paris - France

Max. number of

80 people

Participants

The course can accommodate up to 80 Master 2, PhD students and post-docs from:

-French universities/teams

-European universities/teams

-International universities/teams

There are pre-booked places for students from Master programs in the following institutions: UPMC (10 places) and IBENS-ENS (10 places), Rouen Normandie University (10 places),Paris Diderot University/Paris Descartes University (10 places). 

The rest of the places are available to registrants from France and round the world.

In addition, we expect free attendees among researchers and physicians interested to learn about systems biology impact into cancer research and treatment.

Selection criteria

No previous experience in programming and modelling methods or deep knowledge in systems biology is required. The talks will be constructed in a didactic manner, introducing the audience to the basics on systems biology approaches and applications for cancer research.

Selections for participation in the course are based on applications.

Application for the course

-CV (max. 1 page)

-Description of scientific topic in a form of abstract (max. 1 page)

- Motivation letter explaining objectives to attend the course (max. 1 page)

- Recommendation letter from 1-2 reference persons

Note:

-Students (Master and PhD) are obliged to upload their CB and recommendation letter(s) in order to be apt for selection. If their reference person(s) wishes to communicate directly to the scientific committee of the course, they can send their recommendation letters to c.sysbiocancer2019 [at] curie.fr before the registration deadline ( in this case, please upload a PDF stating this). 

-Non-students do not need to join a recommendation letter. In this case please upload a blank page PDF to validate the inscription.

Speakers

Speakers

Augustin Luna (Harvard Medical School, Boston, USA)

Reinhard Schneider (Luxembourg University, Luxembourg)

Heather Marlow (Institut Pasteur, Paris, France)

Luca Pinello (Harvard Medical School, Boston, USA)

Denis Thieffry (IBENS-ENS, Paris, France)

Julio Saez-Rodriguez (EMBL-EBI, Hinxton, UK)

Vassili Soumelis (INSERM, Paris, France)

Andrei Zinovyev (Institut Curie, Paris, France)

Jérome Galon (Cordeliers Research Center, Paris, France)

Estelle Duprez (CRCM, Marseille, France)

Leïla Perié (Institut Curie, Paris, France)

Lodewyk Wessels (National Cancer Institute, Amsterdam, The Netherlands)

Kathleen Marchal (Ghent University, Ghent, Belgium)

Thomas Walter (Centre for Computational Biology, MINES ParisTech, Paris, France)

Jean-Philippe Vert (Google, MINES ParisTech, Paris, France)

Antoine De Weck (Novartis, Basel, Switzerland)

Andrew Teschendorff (University College London - London, UK)

Thomas Höfer (GKFZ - Allemagne)

Keynote speakers

Peter Kharchenko (Harvard Medical School, Boston, USA)

Nikolaus Rajewsky (MDC, Berlin, Germany)

Organisers

Emmauel BARILLOT Institut Curie - INSERM U900, Paris, France

Inna KUPERSTEIN Institut Curie - INSERM U900, Paris, France  

Vassili SOUMELIS Institut Curie - INSERM U932, Paris, France  

Denis THIEFFRY Institut de Biologie de l'École Normale Supérieure, Paris, France

Thomas‎ WALTER Centre of Computational Biology, MINES - ParisTech, Paris, France

Scientific Committee

Laurence CALZONE Institut Curie – INSERM U900, Paris, France

Tatiana POPOVA Institut Curie – INSERM U830, Paris, France

Andrei ZINOVYEV Institut Curie – INSERM U900, Paris, France

Sponsored by

Organisation

  • U900 - Bioinformatics, Biostatistics, Epidemiology and Complex Systems