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@VeraPancaldiLab

Vera Pancaldi Lab

NetB(IO)² - Network Biology in Immuno Oncology

Welcome to the Pancaldi Lab!

We are NetB(IO)², a bioinformatics and computational biology research group at the Cancer Research Center of Toulouse

We study and simulate the tumor microenvironment to understand the relationship between patients and cancer. We focus on how immune cells, especially innate ones, interact with the tumour, hoping to improve personalisation of immunotherapies.

Our final goal is to improve these therapies understanding how variability in the patients, in the tumours, and in their interactions affects their efficacy. We develop and use different computational approaches which includes the application of multi-omics data (transcriptomics, epigenomics, proteomics and metabolomics), spatial data, mathematical modeling, data simulations and network theory as useful frameworks to represent systems in which relationships such as interactions or similarity between objects are important. We apply network models to study such diverse systems as networks of patient-patient similarity, networks of interactions between different cell types in a tumour, and 3D interactions of genes in the nucleus.

Tools

tysserand GARDEN-NET MOSNA CellTFusion
tysserand
Fast and accurate spatial network reconstruction
GARDEN-NET
Genome ARchitecture DNA Epigenome and Nucleome Network Exploration Tool
MOSNA
Patterns and community detection in spatial networks
CellTFusion
Integration of transcriptional regulatory networks for immune deconvolution
        

Projects

Our recent publications

  • Messina, O., Raynal, F., Gurgo, J,. Fiche, J.B., Pancaldi, V., Nollmann, M. (2023). 3D chromatin interactions involving Drosophila insulators are infrequent but preferential and arise before TADs and transcription. Nat Commun. 21;14(1):6678. https://doi.org/10.1038/s41467-023-42485-y.
  • Marku M, Pancaldi V (2023) From time-series transcriptomics to gene regulatory networks: A review on inference methods. PLoS Comput Biol 19(8): e1011254. https://doi.org/10.1371/journal.pcbi.1011254
  • Senosain, M.F., Zou, Y., Patel, K., Zhao, S., Coullomb, A., Rowe, D. J., … López, C. F. (2023). Integrated Multi-omics Analysis of Early Lung Adenocarcinoma Links Tumor Biological Features with Predicted Indolence or Aggressiveness. Cancer Research Communications, 3(7), 1350–1365. https://doi.org/10.1158/2767-9764.crc-22-0373
  • Rimailho L, Faria C, Domagala M, Laurent C, Bezombes C, Poupot M. 2023. T cells in immunotherapies for B-cell malignancies. Front. Immunol. June in press. https://doi.org/10.3389/fimmu.2023.1200003.
  • Verstraete, N., Marku, M., Domagala, M., Hélène Arduin, Bordenave, J., Jean‐Jacques Fournié, … Vera Pancaldi. (2023). An agent-based model of monocyte differentiation into tumour-associated macrophages in chronic lymphocytic leukemia. IScience, 26(6), 106897–106897. https://doi.org/10.1016/j.isci.2023.106897

Pinned

  1. tysserand tysserand Public

    Fast reconstruction of spatial networks from bioimages.

    Python 23 6

  2. GARDEN-NET GARDEN-NET Public

    Genome ARchitecture Data Epigenome and Nucleome - Network Exploration Tool (GARDEN-NET)

    TypeScript 6

Repositories

Showing 10 of 16 repositories

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