Mathematical modeling and analysis for biological rhythms of 12 hours
Type de contrat : Stage
Niveau de diplôme exigé : Bac + 4 ou équivalent
Fonction : Stagiaire de la recherche
A propos du centre ou de la direction fonctionnelle
The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Contexte et atouts du poste
Biological rhythms are very frequent in living organisms, such as the well known circadian clock which controls a number of genes that are expressed in an oscillatory way, with a period of 24 hours. However, very recently, new rhythms with a period of 12 hours have been identified in the liver of mice [1]. This is the case of a large group of genes that are mostly involved in proteostasis and metabolism and whose expression oscillates with a period of 12 hours. Even though very little is known about these 12 hour rhythmic processes, the protein XBP1 appears to be at the core of a negative feedback loop circuit [2] which may be generating an ultradian rhythm.
In general, the 12 hour rhythms have two pics during a whole day, coinciding with the day-to-night and night-to-day transitions, but the first studies indicate that the ultradian rhythms are independent of the circadian rhythm. The goal of this project is to construct a first mathematical model of the XBP1 oscillator, calibrate its parameters from biological data, and analyze the main properties of the model, such as existence and stability of a periodic orbit. Studying the mechanisms of ultradian rhythms, as well as their comparison with circadian rhythms, is important to understand adaptation and evolution of organisms, in particular in the context of certain pathologies.
This topic is part of the project OSCILLA12, in the “Masters Environneés” program at Université Côte d’Azur, in collaboration with the Circadian Systems Biology team of Franck Delaunay and Michele Teboul at Institut de Biology de Valrose, who will be performing experiments connected to the ultradian rhythm. The Master student will thus be integrated in an Inria team with large experience in the modeling and analysis of biological oscillators and will also frequently interact with a team of biologists with expertise in the mammalian circadian clock.
Mission confiée
A mathematical model using ordinary differential equations will be constructed to describe the circuit involving XBP1, a protein related to the immune system. This circuit has two main elements: first, after transcription, the mRNA Xbp1 may be spliced and give rise to the protein XBP1s which will in turn further promote the transcription of its gene Xbp1; second, the mRNA Xbp1 may be translated directly into the (unspliced) protein XBP1u, which will in turn contribute to the degradation of the (spliced) protein XBP1s. Thus a positive and a negative feedback loop are present in the XBP1 circuit.
To describe such a negative feedback loop we will start by using the Goodwin model [3], which is composed of at least three variables (Pi, i=1,2,3) organized in a cascade where P1 positively activates P2, P2 positively activates P3, and finally P3 inhibits P1. The model proposed by Goodwin contains only linear terms, except for the term describing the inhibition of P1 by P3, and represents a basic circuit required for the existence of oscillatory behavior. Starting from this basic model, we will then add other elements, such as the positive feedback loop represented by the spliced protein, and also add new variables to represent other proteins that are known to participate in the XBP1 circuit.
The parameters of the mathematical model will then be calibrated by comparison of the model to experimental data from Delaunay team. We will simulate and study the model to show that it has a periodic orbit with a period close to 12 hours. We will also compare the mechanisms of this oscillator with those of a circadian oscillator [4], to detect possible similarities and differences, and identify mechanisms that are more closely related to longer or shorter periods.
Principales activités
1. Mathematical modeling and analysis of the 12 hour oscillator system, by application of different techniques.
2. Numerical simulations and analysis of the results.
3. Writing a report on the project.
Compétences
The candidate should have some knowledge of ordinary differential equations and be familiar with a software such as Scilab, Matlab, Phyton, or equivalent.
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)
Rémunération
Traineeship grant depending on attendance hours.
Informations générales
- Thème/Domaine :
Modélisation et commande pour le vivant
Biologie et santé, Sciences de la vie et de la terre (BAP A) - Ville : Sophia Antipolis
- Centre Inria : Centre Inria d'Université Côte d'Azur
- Date de prise de fonction souhaitée : 2025-02-01
- Durée de contrat : 6 mois
- Date limite pour postuler : 2025-01-31
Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.
Consignes pour postuler
Applications must be submitted online on the Inria website. Collecting applications by other channels is not guaranteed.
Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.
Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.
Contacts
- Équipe Inria : MACBES
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Recruteur :
Chaves Madalena / Madalena.Chaves@inria.fr
L'essentiel pour réussir
If understanding, simulating and analyzing the dynamics of oscillatory systems appeals to you, and If, in addition, you are curious about the workings of biological systems and would like to be involved in interdisciplinary work with a great team of circadian system biologists, then this is right internship for you!
A propos d'Inria
Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.