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U976 - HIPI

The U976 unit (directed by Jean Christophe Bories) works on Human Systems Immunology & Inflammatory Networks. Its research topics also include systems biology and medicine, Bioinformatics, human inflammatory and neoplastic diseases, translational research.

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Jean-Christophe Bories
Dr. Jean-Christophe Bories

Head of Entity

Sophie Caillat-Zucman
Prof. Sophie Caillat-Zucman

Team leader

David Michonneau
Prof. David Michonneau

Contact

Email : jean-christophe.bories@univ-paris-diderot.fr

Hôpital Saint Louis
Institut Recherche Saint Louis (IRSL)
1, avenue Claude Vellefaux
75010 PARIS - France

Website

  • Acute Lymphoblastic Leukemia (ALL)
  • Waldenström Macroglobulinemia (WM)
  • Acute Myeloid Leukemia (AML)

The U976 unit focuses its research on intercellular communication, immune cell diversity, classification of human diseases, personalised medicine, systems biology, inflammatory networks and single cell technologies.

INSIGHT – Team leader : Sophie Caillat-Zucman

Projects :

  • MAIT cell functions and usage in the allogeneic context
  • Tolerance following HSCT
  • Post-transplantation tumor control
  • Virus infections in immunocompromised hosts

  • Cell therapy
  • Immunotherapy
  • CAR-T cells

Scientific

  • to unravel the mechanisms of immune tolerance (acute GVHD versus operational tolerance) after hematopoietic stem cell transplantation (HSCT)
  • to decipher the mechanisms involved in restraining the Graft versus Leukemia (GVL) effect after HSCT
  • to explore the contribution of human Mucosal-Associated Invariant T (MAIT) cells in the allogeneic setting

  • Vallet N, Le Grand S, Bondeelle L, Hoareau B, Corneau A, Bouteiller D, Tournier S, Derivry L, Bohineust A, Tourret M, Gibert D, Mayeur E, Itzykson R, Pacchiardi K, Ingram B, Cassonnet S, Lepage P, Peffault de Latour R, Socié G, Bergeron A, Michonneau D. Azithromycin promotes relapse by disrupting immune and metabolic networks after allogeneic stem cell transplantation. Blood. 2022 Dec 8;140(23):2500-2513. doi: 10.1182/blood.2022016926. PMID: 35984904.
  • Vallet N, Michonneau D, Tournier S. Toward practical transparent verifiable and long-term reproducible research using Guix. Sci Data. 2022 Oct 4;9(1):597. doi: 10.1038/s41597-022-01720-9. PMID: 36195618; PMCID: PMC9532446.
  • Gournay V, Vallet N, Peux V, Vera K, Bordenave J, Lambert M, Corneau A, Michonneau D, Peffault de Latour R, Caillat-Zucman S, Socié G, Chevalier MF. Immune landscape after allo-HSCT: TIGIT and CD161-expressing CD4 T cells are associated with subsequent leukemia relapse. Blood. 2022 Jul 12:blood.2022015522. doi: 10.1182/blood.2022015522.
  • Dubouchet L, Todorov H, Seurinck R, Vallet N, Van Gassen S, Corneau A, Blanc C, Zouali H, Boland A, Deleuze JF, Ingram B, de Latour RP, Saeys Y, Socié G, Michonneau D. Operational tolerance after hematopoietic stem cell transplantation is characterized by distinct transcriptional, phenotypic, and metabolic signatures. Sci Transl Med. 2022 Feb 23;14(633):eabg3083. doi: 10.1126/scitranslmed.abg3083. Epub 2022 Feb 23. PMID: 35196024.
  • Tourret M*, Talvard-Balland N*, Lambert M, Ben Youssef G, Chevalier MF, Bohineust A, Yvorra T, Morin F, Azarnoush S, Lantz O, Dalle JH, Caillat-Zucman S. Human MAIT cells are devoid of alloreactive potential: prompting their use as universal cells for adoptive immune therapy. J. Immunother. Cancer. 2021 Oct;9(10):e003123. doi: 10.1136/jitc-2021-003123.
  • Michonneau D, Latis E, Curis E, Dubouchet L, Ramamoorthy S, Ingram B, de Latour RP, Robin M, de Fontbrune FS, Chevret S, Rogge L, Socié G. Metabolomics analysis of human acute graft-versus-host disease reveals changes in host and microbiota-derived metabolites. Nat Commun. 2019 Dec 13;10(1):5695. doi: 10.1038/s41467-019-13498-3. PMID: 31836702; PMCID: PMC6910937.
  • Ben Youssef G*, Tourret M*, Salou M*, Ghazarian L*, Houdouin H, Mondot S, Mburu Y, Lambert M, Azarnoush A, Diana JS, Virlouvet AL, Peuchmaur M, Schmitz T, Dalle JH, Lantz O, Biran V and Caillat-Zucman S. Ontogeny of human Mucosal-Associated Invariant T cells and related T cell subsets. J. Exp. Med. 2018, 215 (2) 459-479. doi 10.1084/jem.20171739

Research infrastructures

Cytometry

IRSL - Technology platform

3 missions:

  • Theoretical and practical training in the technology
  • Access to calibrated instruments (sorters and analyzers)
  • Personalized support for the design of experiments and results analysis 

 
Genomics

IRSL - Technology platform

The main mission of the Genomics Department is to meet the needs for genomic studies related to laboratory research activities and to be open to the entire academic (INSERM, CNRS, Universities, APHP) and industrial scientific community.

 
Génomique

Plateforme technologique – Institut du Cerveau (ICM)

iGenSeq - The platform offers a wide range of genomic solutions for the analysis of genomes and exomes from samples of very diverse origin.

 
Microscopy

IRSL - Technology platform

Microscopy Department provides easy access and personalized support to modern optical microscopy techniques: confocal and multiphoton microscopy, wide-field microscopy, video-microscopy (multipoint and high-throughput timelapse).

 
Data center

IRSL - Technology platform

BioData Center Department provides a dual mission: support in setting up the IT tools necessary for the bio-informaticians of the Research teams, an infrastructure for calculation and analysis as well as for storage.

 
Animal facility

IRSL - Technology platform

Department of Preclinical Models is a common service whose main mission is to meet the needs for animal experimentation relating to the scientific activity of the IRSL in compliance with the national and European regulations in force on the Protection of animals used for scientific purposes.

 
Cell culture facility

Paris Brain Institut (ICM) - Technology platform

This core facility makes available a very large panel of cell culture models and up- to-date technologies to academic researchers and industrials.

 
Bioinformatics

TMod:  mathematical model of dendritic cell-T lymphocyte communication.

 
 

ICELLNET: method for analyzing intercellular communication from transcriptomic data.

 
 

ISAIL tool (Synergistic-Antagonistic Interaction Learner): analysis method based on machine learning for the combinatorial study of processing based on omics data.

 

Various sources

Molecular data

TMod: protein data about dendritic cell-T lymphocyte communication.

 

Transcriptomics - Dissection of intercellular communication using the transcriptome-based framework ICELLNET. (Expression profiling by array).

 

Transcriptomics - Sequential dendritic cell activation with innate and adaptive signals. (Expression profiling by array)

 

Transcriptomics - The combinatorial code governing cellular responses to complex stimuli. (Expression profiling by array).

 

Transcriptomics - Thymic stromal lymphopoietin (TSLP) effects on primary human blood dendritic cells. (Expression profiling by array).

 

Transcriptomics - RNA-seq analysis of activated plasmacytoid dendritic cell subsets after viral infection (Expression profiling by high throughput sequencing) 

 

Multi-omic data from allograft patients (microbiota and immune system analysis).

 

Partnership research offers

PLATFORM FOR MULTIOMIC ANALYSIS OF HEMATOPOIESIS OR THE IMMUNE SYSTEM IN PATIENTS WITH HEMATOLOGICAL MALIGNANCIES OR AFTER CSH ALLOGRAFT (ALL/AML/MPS/MDS)

MOUSE MODELS FOR THE STUDY OF GRAFT-VERSUS-HOST DISEASE (GVHD) OR GRAFT-VERSUS LEUKEMIA (GVL) (ALL/AML)

CLINICAL AND PRECLINICAL EVALUATION OF EFFICACY AND TOXICITY OF CAR-T CELL (ALL/AML) TREATMENTS

Partners

Academics

Affiliation

Inserm Université Paris Cité