Mots-Clés

transcriptomics data organoids tumor spheroids

Description

Offer: Master 2 internship - Computational analysis of organoids and tumor spheroids transcriptomics data (CEA Grenoble)
Title: Computational analysis of organoids and tumor spheroids transcriptomics data
Background: 3D cell models, such as organoids and tumor spheroids, have become experimental tools of great interest because they allow better representation of the complexity of tissues, compared to 2D cell cultures. The development of organoids for various tissues and tumor spheroids quickly led to their use to better understand human pathologies or for the screening of therapeutic molecules. However, the degree of fidelity between the desired tissue phenotype and the 3D cell model is often estimated by simple measurements of the state of cell proliferation or the expression of a few marker genes. These measurements are not sufficient to finely establish the functional integrity of cell types and active molecular processes.
Objective: This internship will contribute to the computational analysis of transcriptomics data generated from 3D cell cultures using bioinformatics, modeling and AI methods. The intern will develop approaches to accurately compare the cellular and molecular similarity states between 3D cell culture models and the corresponding tissues or 2D cell cultures and to assess the ability of tumor spheroids to recapitulate the mechanisms of drug resistance.
Workplan: The intern will join a working group made up of a PhD student and a work-study Master student dedicated to this research theme. He/she will build on and extend the data analysis approaches already in place in our group and apply them on different 3D cell culture related projects.
Host laboratory: The intern will be hosted in the MODAL (Multiscale bioinformatics & digital health) group (https://www.bge-lab.fr/en/GenChem/Research/MODAL) within the “Genetics & Chemogenomics” team of the Interdisciplinary Research Institute of Grenoble (IRIG) of the CEA Grenoble. He/she will be supervised by Christophe Battail, expert in computational analysis and modeling of genomic data, and will evolve in a multidisciplinary research environment composed of bioinformaticians and biologists.
Candidate profile:
Knowledge and skills in bioinformatics: Transcriptomic data, unix command line and Python/R programming.
Professional aptitude: curiosity and desire to improve their scientific and technological skills, rigor and organization, and
ability to work in a team and interact with other students, engineers and researchers
Job contract:
6-month master's internship starting in February 2024.
Please send a CV, a cover letter and the name of a referee to christophe.battail@cea.fr.