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1.
Nature ; 582(7813): 592-596, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32555458

RESUMO

Proteins carry out the vast majority of functions in all biological domains, but for technological reasons their large-scale investigation has lagged behind the study of genomes. Since the first essentially complete eukaryotic proteome was reported1, advances in mass-spectrometry-based proteomics2 have enabled increasingly comprehensive identification and quantification of the human proteome3-6. However, there have been few comparisons across species7,8, in stark contrast with genomics initiatives9. Here we use an advanced proteomics workflow-in which the peptide separation step is performed by a microstructured and extremely reproducible chromatographic system-for the in-depth study of 100 taxonomically diverse organisms. With two million peptide and 340,000 stringent protein identifications obtained in a standardized manner, we double the number of proteins with solid experimental evidence known to the scientific community. The data also provide a large-scale case study for sequence-based machine learning, as we demonstrate by experimentally confirming the predicted properties of peptides from Bacteroides uniformis. Our results offer a comparative view of the functional organization of organisms across the entire evolutionary range. A remarkably high fraction of the total proteome mass in all kingdoms is dedicated to protein homeostasis and folding, highlighting the biological challenge of maintaining protein structure in all branches of life. Likewise, a universally high fraction is involved in supplying energy resources, although these pathways range from photosynthesis through iron sulfur metabolism to carbohydrate metabolism. Generally, however, proteins and proteomes are remarkably diverse between organisms, and they can readily be explored and functionally compared at www.proteomesoflife.org.


Assuntos
Classificação , Aprendizado Profundo , Peptídeos/química , Peptídeos/isolamento & purificação , Proteoma/química , Proteoma/isolamento & purificação , Proteômica/métodos , Animais , Bacteroides/química , Bacteroides/classificação , Metabolismo dos Carboidratos , Cromatografia , Glicólise , Homeostase , Transporte de Íons , Proteínas Ferro-Enxofre/metabolismo , Oxirredução , Fotossíntese , Biossíntese de Proteínas , Dobramento de Proteína , Proteólise , Especificidade da Espécie
2.
Cell Syst ; 7(6): 601-612.e3, 2018 12 26.
Artigo em Inglês | MEDLINE | ID: mdl-30528273

RESUMO

Obesity-related diseases affect half of the global population, and bariatric surgery is one of the few interventions with long-lasting weight loss and cardio-metabolic effects. Here, we investigated the effect of Roux-en-Y gastric bypass surgery on the plasma proteome, hypothesizing that specific proteins or protein patterns may serve as key mediators and markers of the metabolic response. We performed mass spectrometry (MS)-based proteomics on two longitudinal studies encompassing 47 morbidly obese patients, generating quantitative information on more than 1,700 proteins. A global correlation matrix incorporating about 200,000 relationships revealed functional connections between proteins and assigned them to physiological processes. The main classes of significantly altered proteins were markers of systemic inflammation and those involved in lipid metabolism. Our data highlight robust correlative and anti-correlative behaviors of circulating proteins to each other and to clinical parameters. A group of inflammation-related proteins showed distinct inverse relationships to proteins consistently associated with insulin sensitivity.


Assuntos
Proteínas Sanguíneas/metabolismo , Derivação Gástrica , Metabolismo dos Lipídeos , Obesidade Mórbida/sangue , Obesidade Mórbida/cirurgia , Mapas de Interação de Proteínas , Adulto , Biomarcadores/sangue , Biomarcadores/metabolismo , Feminino , Derivação Gástrica/métodos , Humanos , Inflamação/sangue , Inflamação/metabolismo , Resistência à Insulina , Masculino , Pessoa de Meia-Idade , Obesidade Mórbida/metabolismo , Proteoma/metabolismo , Proteômica
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