logo umr
Génétique Quantitative et Évolution - Le Moulon

Olivier LANGELLA

Olivier LANGELLA

Engineer, CNRS

olivier.langella@universite-paris-saclay.fr

+33 (0)1 69 33 23 68

orcid.org/0000-0002-3039-6718

Publications

  • Génétique Quantitative et Évolution - Le Moulon
  • Université Paris-Saclay, INRAE, CNRS, AgroParisTech
  • Ferme du Moulon
  • F-91190 Gif-sur-Yvette

Position and Education

  • CNRS research engineer, GQE-Le Moulon (Gif-sur-Yvette, France), 2004-present
  • CNRS engineer, EGCE (Gif-sur-Yvette, France), 1996-2003
  • Bioinformatics post graduate degree (Université Pierre et Marie Curie, Paris VI), 1995

Research interests

I am interested in computational challenges raised by highthroughtput proteomics studies (data storage and intensive calculation). In charge of the bioinformatics developments of the PAPPSO team, I thus lead several projects :

We have developped a complete solution using free softwares and common hardware to store 30Tbytes per year and offering high speed connection to an HPC cluster (based on ceph and HTCondor).

I am also involved in the GQE Bioinformatics facility (ABI), in which I lead the ABI-SYS group (system).

Publications

  • Bassignani A., Plancade S., Berland M., Blein-Nicolas M., Guillot A., Chevret D., Moritz C., Huet S., Rizkalla S., Clément K., Doré J., Langella O. , Juste C.. (2021) Benefits of Iterative Searches of Large Databases to Interpret Large Human Gut Metaproteomic Data Sets. J. Proteome Res.,
  • Langella O. , Rusconi F.. (2021) mineXpert2: Full-Depth Visualization and Exploration of MS n Mass Spectrometry Data. J Am Soc Mass Spectrom,
  • Plancade S., Berland M., Blein-Nicolas M., Langella O. , Bassignani A., Juste C.. (2021) A combined test for feature selection on sparse metaproteomics data - alternative to missing value imputation. bioRxiv, 2021.06.22.449387
  • Van Den Bossche T., Kunath BJ., Schallert K., Schäpe SS., Abraham PE., Armengaud J., Arntzen M., Bassignani A., Benndorf D., Fuchs S., Giannone RJ., Griffin TJ., Hagen LH., Halder R., Henry C., Hettich RL., Heyer R., Jagtap P., Jehmlich N., Jensen M., Juste C., Kleiner M., Langella O. , Lehmann T., Leith E., May P., Mesuere B., Miotello G., Peters SL., Pible O., Queiros PT., Reichl U., Renard BY., Schiebenhoefer H., Sczyrba A., Tanca A., Trappe K., Trezzi JP., Uzzau S., Verschaffelt P., von Bergen M., Wilmes P., Wolf M., Martens L., Muth T.. (2021) Critical Assessment of MetaProteome Investigation (CAMPI): a multi-laboratory comparison of established workflows. Nat Commun, 1 (12) 7305
  • Adenot P., Bansard S., Benaben D., Brunaud V., Caron C., Dehne Garcia A., Duperier C., Falce A., Filangi O., Giacomoni F., Granier F., Grevet P., Guilhot N., Hofstetter A., Joets J., Hotelier T., Langella O. , Legrand L., LOAEC M., Lollier V., Moreau P., Morin E., Quesneville H., Rabemanantsoa T., Salin G., Tessier D.. (2018) AgroDataRing: Une infrastructure partagée et mutualisée pour le stockage longue durée. Cahier des Techniques de l'INRA, 1-7
  • Langella O. , Valot B., Balliau T., Blein-Nicolas M., Bonhomme L., Zivy M.. (2017) X!TandemPipeline: A Tool to Manage Sequence Redundancy for Protein Inference and Phosphosite Identification. J. Proteome Res., 2 (16) 494-503
  • Dobrenel T., Mancera-Martínez E., Forzani C., Azzopardi M., Davanture M., Moreau M., Schepetilnikov M., Chicher J., Langella O. , Zivy M., Robaglia C., Ryabova LA., Hanson J., Meyer C.. (2016) The Arabidopsis TOR Kinase Specifically Regulates the Expression of Nuclear Genes Coding for Plastidic Ribosomal Proteins and the Phosphorylation of the Cytosolic Ribosomal Protein S6. Front Plant Sci, (7)
  • Sabarly V., Aubron C., Glodt J., Balliau T., Langella O. , Chevret D., Rigal O., Bourgais A., Picard B., de Vienne D., Denamur E., Bouvet O., Dillmann C.. (2016) Interactions between genotype and environment drive the metabolic phenotype within Escherichia coli isolates. Environmental microbiology, 1 (18) 100-17
  • Chaze T., Guillot A., Valot B., Langella O. , Chamot-Rooke J., Di Guilmi AM., Trieu-Cuot P., Dramsi S., Mistou MY.. (2014) O-Glycosylation of the N-terminal region of the serine-rich adhesin Srr1 of Streptococcus agalactiae explored by mass spectrometry. Molecular & cellular proteomics : MCP, 9 (13) 2168-82
  • Albertin W., Marullo P., Bely M., Aigle M., Bourgais A., Langella O. , Balliau T., Chevret D., Valot B., da Silva T., Dillmann C., de Vienne D., Sicard D.. (2013) Linking post-translational modifications and variation of phenotypic traits. Molecular & cellular proteomics : MCP, 3 (12) 720-35
  • Langella O. , Valot B., Jacob D., Balliau T., Flores R., Hoogland C., Joets J., Zivy M.. (2013) Management and dissemination of MS proteomic data with PROTICdb: Example of a quantitative comparison between methods of protein extraction. Proteomics, 9 (13) 1457-66
  • Valot B., Langella O. , Nano E., Zivy M.. (2011) MassChroQ: a versatile tool for mass spectrometry quantification. Proteomics, 17 (11) 3572-7
  • Albertin W., Langella O. , Joets J., Negroni L., Zivy M., Damerval C., Thiellement H.. (2009) Comparative proteomics of leaf, stem, and root tissues of synthetic Brassica napus. Proteomics, 3 (9) 793-9
  • Langella O. , Zivy M.. (2008) A method based on bead flows for spot detection on 2-D gel images. Proteomics, 23-24 (8) 4914-8