Education

• 2019–22
  PhD in Biology and Informatics

  Institut Jacques Monod · Université Paris Cité

  Thesis: New Quantification Approaches of Proteome Variations at the Intact Protein Level

• 2016–19
  MSc / Licence — Interdisciplinary Sciences (BISM)

  Université Paris Descartes (Paris Cité)

Research Positions

• 2023–
  Postdoctoral Researcher

  Kamenz Lab · Groningen Biomolecular Sciences and Biotechnology Institute (GBB) · University of Groningen, Netherlands

  Temporal regulation of APC/C during mitosis using quantitative proteomics and Xenopus laevis egg extracts.

• 2019–22
  PhD Researcher

  Camadro Lab · Institut Jacques Monod · Paris, France

  Development of the bSLIM metabolic labeling strategy and associated computational pipelines for quantitative proteomics.

Technical Skills

• Programming
  Python, C++, R, Bash

  Algorithm development, data analysis pipelines, signal processing
• MS Software
  MaxQuant, DIA-NN, Peaks, Proteome Discoverer

  Database search, label-free and labeled quantification
• Proteomics
  Metabolic labeling (SLIM / bSLIM), top-down MS, native MS, XL-MS

  Quantitative shotgun and intact protein workflows
• Biology
  Xenopus laevis egg extracts, yeast culture, mammalian cell lines

  Cell cycle assays, protein complex purification

Selected Publications

• 2023
  Lignières L., Sénécaut N., et al.

  Extending the Range of SLIM-Labeling Applications · J. Proteome Research
• 2022
  Sénécaut N., et al.

  Quantitative Proteomics in Yeast: bSLIM workflow · Yeast Functional Genomics: Methods & Protocols
• 2022
  Lignières L., Sénécaut N., et al.

  Capillary LC–MS for Top-Down Proteomics · J. Chromatography B
• 2021
  Sénécaut N., et al. (first author)

  Novel Insights into Quantitative Proteomics from bSLIM Labeling · J. Proteome Research

See full publication list →

Languages

• French
  Native
• English
  Fluent (professional)