Ornella Cominetti
Affiliations: | 2012 | Mathematical Institute | University of Oxford, Oxford, United Kingdom |
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| Cominetti O, Hosking J, Jeffery A, et al. (2020) Contributions of Fat and Carbohydrate Metabolism to Glucose Homeostasis in Childhood Change With Age and Puberty: A 12-Years Cohort Study (EARLYBIRD 77). Frontiers in Nutrition. 7: 139 |
| Macron C, Núñez Galindo A, Cominetti O, et al. (2019) A Versatile Workflow for Cerebrospinal Fluid Proteomic Analysis with Mass Spectrometry: A Matter of Choice between Deep Coverage and Sample Throughput. Methods in Molecular Biology (Clifton, N.J.). 2044: 129-154 |
| Bruderer R, Muntel J, Müller S, et al. (2019) Analysis of 1508 plasma samples by capillary flow data-independent acquisition profiles proteomics of weight loss and maintenance. Molecular & Cellular Proteomics : McP |
| Núñez Galindo A, Macron C, Cominetti O, et al. (2019) Analyzing Cerebrospinal Fluid Proteomes to Characterize Central Nervous System Disorders: A Highly Automated Mass Spectrometry-Based Pipeline for Biomarker Discovery. Methods in Molecular Biology (Clifton, N.J.). 1959: 89-112 |
| Dayon L, Cominetti O, Wojcik J, et al. (2019) Proteomes of paired human cerebrospinal fluid and plasma: Relation to blood-brain barrier permeability in older adults. Journal of Proteome Research |
| Cominetti O, Núñez Galindo A, Corthésy J, et al. (2018) Obesity shows preserved plasma proteome in large independent clinical cohorts. Scientific Reports. 8: 16981 |
| Cominetti O, Smith D, Hoffman F, et al. (2018) Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach. Scientific Reports. 8: 12849 |
| Corthesy J, Theofilatos K, Mavroudi S, et al. (2018) An adaptive pipeline to maximize isobaric tagging data in large-scale MS-based proteomics. Journal of Proteome Research |
| Lan J, Núñez Galindo A, Doecke J, et al. (2018) A systematic evaluation of the use of human plasma and serum for mass spectrometry-based shotgun proteomics. Journal of Proteome Research |
| Lauria M, Persico M, Dordevic N, et al. (2018) Consensus Clustering of temporal profiles for the identification of metabolic markers of pre-diabetes in childhood (EarlyBird 73). Scientific Reports. 8: 1393 |