Chromosome folding dynamics during stem cell differentiation in bovine
| ABG-138890 | Sujet de Thèse | |
| 04/05/2026 | Financement public/privé |
- Biologie
Description du sujet
This PhD project aims to better understand the three-dimensional organization of animal genomes, and more specifically the dynamics and formation of nuclear compartments.
DNA, which carries genetic information, is folded within the cell nucleus. The genome is organized into two main nuclear compartments that are linked to gene expression and therefore potentially involved in the establishment of phenotypes. However, the causal relationship between nuclear compartments and gene expression remains unclear, and the molecular mechanisms that form and maintain nuclear compartments have not yet been elucidated.
In the first aim, we hypothesize that differences in nuclear compartmentalization between individuals during development play a role in the establishment of phenotypes. The variability of genome organization in wild-type bovine embryonic stem cells and those carrying mutations associated with a specific phenotype, the polled phenotype, will be studied during stem cell differentiation (Hi-C, ChIP-seq, ATAC-seq, RNA-seq).
The second aim will study the molecular mechanisms underlying the formation of nuclear compartments. To this end, a nuclear compartment will be artificially created by recruiting a histone mark to a specific genomic region. The maintenance of the nuclear compartment will be studied throughout cell cycles and differentiation.
Overall, this research will deepen our understanding of the molecular mechanisms underlying the formation and maintenance of nuclear compartments, as well as provide greater insight into the role of nuclear compartmentalization in the establishment of phenotypes.
Prise de fonction :
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Présentation établissement et labo d'accueil
You will be welcomed at the GenPhySE Joint Research Unit at the INRAE Occitanie-Toulouse Center, specifically within the GENOME3D team, which studies chromosome folding of animal genomes.
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Profil du candidat
- Recommended training: Molecular Biology, Genomics, Genetics, Cell Biology
- Knowledge required: A solid foundation in Molecular Biology and Genomics
- Appreciated experience: Cell differentiation, cell culture, bioinformatic analysis of genomic data
- Skills: If you have no experience in bioinformatics: a willingness to learn how to perform bioinformatics analysis of the data obtained in the project, strong writing and presentation skills for scientific results, and strong organizational skills.
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