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Responsable de publication :
Olivier Martin

Responsable éditoriale :
Rozenn Le Guyader

Administrateur de l'infoservice :
Thierry Balliau

portrait de Mélisande Blein-NicolasMélisande BLEIN-NICOLAS

Plateforme d'Analyse Proteomique de Paris Sud-Ouest (PAPPSO)
Génétique Quantitative et Évolution - Le Moulon
INRA - Université Paris-Sud - CNRS - AgroParisTech
Ferme du Moulon
F-91190 Gif-sur-Yvette
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Phone: +33 1 69 15 68 06

Keywords: proteomics, mass spectrometry, integrative biology, systems genetics, quantitative genetics.


> Position and education

2015-present: INRA research engineer, PAPPSO, UMR GQE-Le Moulon, Gif-sur-Yvette, France

2010-2015: Post-doctoral fellow, INRA, UMR GQE-Le Moulon, Gif-sur-Yvette, France

· "Analysis of heterosis for protein abundance under normal and drought conditions in sunflower" (PIA Sunrise)

· "Genome wide association study for protein expression under normal and water deficit conditions in maize leaves" (PIA Amaizing)

· "Analysis of heterosis for protein abundance in inter- and intra-specific yeast hybrids grown under grape must fermentation" (ANR HeterosYeast)

2008-2010: Postdoctoral fellow, CIRAD, UMR Biologie et Génétique des Interactions Plante- Parasite, Montpellier, France

· "Functional validation of the role of CIGR1 in the resistance of rice to blast (Magnaporthe oryzae)

2004-2007: PhD student (MENRT fellowship), IGEPP (formely UMR Amélioration des Plantes et Biotechnologies Végétales), Rennes, France

· Histological and transcriptomic analyses of the role of the Pch1 gene in the resistance of bread wheat to eyespot Oculimacula yallundae

2004: MsC and Master Degree in Plants Genetics and Breeding, Agrocampus Ouest (formerly École Nationale Supérieure Agronomique de Rennes).


> Activities of research and development

I am involved in the management of the PAPPSO proteomic platform (projects management, relationships with users, implementation of a quality policy, support to the scientist in charge of the plateform) and in the design and implementation of developments for the analysis of proteomics data [5,8,9]. I am more particularly in charge of the development of an R package containing functions for the processing and the statistical analysis of protein quantification data (MCQ package). I am also involved in several development projects for metaproteomics (ANR Proteocardis), for the use of natural isotopes in peptide quantification and for the analysis of large experimental designs.

Regarding my research activities, I am interested in understanding how living organisms respond and adapt to environmental changes. I focused on the identification of genes and molecular mechanisms responsible for the variation of adaptative traits, such as plant resistance to pathogenic fungi [2-4], yeasts ability to complete grape juice fermentation [6-7] or drought tolerance in plants. During my PhD and my first post-doctoral fellowship, I addressed this issue by using functional approaches. Since I joined the UMR GQE-Le Moulon, I moved toward more integrated approaches based on the combined analysis of several levels of biological complexity to decipher the genotype/phenotype relationship. Currently, I am developing systems genetics approaches to elucidate the mechanisms underlying drought tolerance in maize. This research takes place within the French investment for the future Amaizing program.


> Teaching and training

Introduction to mass-spectrometry based proteomics (Licence1 and Master 2 at Université Paris Sud)

Proteomics data analysis with the MCQ package (PAPPSO training sessions)


> Publications

10.  Millan-Oropeza A., Henry C. ,  Blein-Nicolas M., Aubert-Frambourg A., Moussa F.,  Bleton J., Virolle M.-J. (2017). Quantitative proteomic analysis revealed different metabolic features between Streptomyces coelicolor and Streptomyces lividans. Journal of Proteome Research 16 : 2597–2613.

9.  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. Journal of Proteome Research 16: 494–503.

8. Blein-Nicolas M., M. Zivy M. (2016). Thousand and one ways to quantify and compare protein abundances in label-free bottom-up proteomics. Biochemica and Biophysica Acta Proteins and Proteomics 1864 (8): 883–895

7. Blein-Nicolas M., Albertin W., Da Silva T., Balliau T., Valot B., Marullo P., Sicard D., Bely M., Masneuf-Pomarède I., Dillmann C., de Vienne D., Zivy M. (2015). A systems approach to elucidate heterosis of protein abundances in yeast. Molecular & Cellular Proteomics 14 (8): 2056-7.

6. Blein-Nicolas M., Albertin W., Valot B., Marullo P., Sicard S., Giraud C., Hue S., Bourgais A., Dillmann C., de Vienne D., Zivy M.(2013) Yeast proteome variations reveal different adaptive responses to grape must fermentation. Molecular Biology and Evolution, 30 (6): 1368-83.

5. Blein-Nicolas M. and Xu H., de Vienne D., Giraud C., Huet S., Zivy M. (2012) Including shared peptides for estimating protein abundances : a significant improvement for quantitative proteomics. Proteomics, 12 (18): 2797-801.

4. Blein M. and Lorieux M., Lozano J., Bounio M., Droc G., Diévart A., Périn C., Mieulet D., Lanau N., Bès M., Rouvière R., Gay C., Piffanelli P., Larmande P., Michel C., Barnola I., Biderre-Petit C., Sallaud C., Perez P., Bourgis F., Ghesquière A., Gantet P., Tohme J., Morel J. B.,  Guiderdoni E. (2012). In-depth molecular and phenotypic characterization in a rice insertion line library facilitates gene identification through reverse and forward genetics approaches. Plant Biotechnology Journal, 10 (5): 555-568.

3. Delteil A., Blein M.,  Guellim A.,  Faivre-Rampant O.,  Estevan J.,  Hirsch J.,  Bevitori R.,  Michel C., Morel J.-B. (2012). Building a mutant resource for disease resistance study in rice reveals a pivotal role of several genes involved in defence transcription. Molecular Plant Pathology 13 (1): 72-82.

2. Blein M., Levrel A., Lemoine J., Gautier V., Chevalier M. and Barloy D. (2009). Oculimacula yallundae lifestyle revisited : relationships between the timing of eyespot symptom appearance, the development of the pathogen and the responses of infected wheat plants. Plant Pathology 58 (1): 1-11.

1. Cifuentes M., Blein M. and Benavente E. (2006) A cytomolecular approach to assess the potential of gene transfer from a crop (Triticum turgidum L.) to a wild relative (Aegilops geniculata Roth.). Theoretical and Applied Genetics 112 (4): 657-664.