Publications

• Sénécaut N., Poulain P., Lignières L., Terrier S., Legros V., Chevreux G., Lelandais G., Camadro J.-M.

  Quantitative Proteomics in Yeast: From bSLIM and Proteome Discoverer Outputs to Graphical Assessment of the Significance of Protein Quantification Scores

  Yeast Functional Genomics: Methods and Protocols, 275–292 · 2022

  Presents an extended bSLIM labeling workflow for quantitative proteomics in yeast and introduces graphical strategies to assess robustness of protein quantification scores using Proteome Discoverer outputs.

  doi:10.1007/978-1-0716-2257-5_16 ↗

• Lignières L., Legros V., Khelil M., Sénécaut N., Lauber M. A., Camadro J.-M., et al.

  Capillary Liquid Chromatography Coupled with Mass Spectrometry for Analysis of Nanogram Protein Quantities on a Wide-Pore Superficially Porous Particle Column in Top-Down Proteomics

  Journal of Chromatography B, 1214, 123566 · 2022

  Describes an optimized capillary LC–MS setup achieving high-quality top-down proteomic separations from nanogram protein samples, demonstrating enhanced chromatographic resolution and versatility.

  doi:10.1016/j.jchromb.2022.123566 ↗

• Sénécaut N., Alves G., Weisser H., Lignières L., Terrier S., Yang-Crosson L., Poulain P., Lelandais G., Yu Y.-K., Camadro J.-M.

  Novel Insights into Quantitative Proteomics from an Innovative Bottom-Up Simple Light Isotope Metabolic (bSLIM) Labeling Data Processing Strategy

  Journal of Proteome Research, 20(3):1476–1487 · 2021

  Introduces the bSLIM labeling strategy and associated data-processing workflows for deep quantitative proteomic analysis, improving the quantification of metabolic labeling experiments.

  doi:10.1021/acs.jproteome.0c00478 ↗

• Lignières L., Sénécaut N., Dang T., et al.

  Extending the Range of SLIM-Labeling Applications: From Human Cell Lines in Culture to Caenorhabditis elegans Whole-Organism Labeling

  Journal of Proteome Research · 2023

  Expands SLIM-labeling quantification approaches to multicellular systems, demonstrating successful proteome labeling and analysis in complex biological models.

  doi:10.1021/acs.jproteome.2c00699 ↗

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PhD Manuscript

• Sénécaut N.

  New Quantification Approaches of Proteome Variations at the Intact Protein Level: Experimental and Computational Analyses

  PhD Thesis · Université Paris Cité – Institut Jacques Monod · 2022

  An integrated experimental and computational framework for quantifying proteome variations at the intact protein level, combining high-resolution MS with advanced signal processing and statistical approaches.