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Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent Acquisition.
Heil, Lilian R; Damoc, Eugen; Arrey, Tabiwang N; Pashkova, Anna; Denisov, Eduard; Petzoldt, Johannes; Peterson, Amelia C; Hsu, Chris; Searle, Brian C; Shulman, Nicholas; Riffle, Michael; Connolly, Brian; MacLean, Brendan X; Remes, Philip M; Senko, Michael W; Stewart, Hamish I; Hock, Christian; Makarov, Alexander A; Hermanson, Daniel; Zabrouskov, Vlad; Wu, Christine C; MacCoss, Michael J.
Afiliação
  • Heil LR; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
  • Damoc E; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Arrey TN; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Pashkova A; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Denisov E; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Petzoldt J; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Peterson AC; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Hsu C; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
  • Searle BC; Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio 43210, United States.
  • Shulman N; Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, United States.
  • Riffle M; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
  • Connolly B; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
  • MacLean BX; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
  • Remes PM; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
  • Senko MW; Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
  • Stewart HI; Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
  • Hock C; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Makarov AA; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Hermanson D; Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany.
  • Zabrouskov V; Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
  • Wu CC; Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States.
  • MacCoss MJ; Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States.
J Proteome Res ; 22(10): 3290-3300, 2023 10 06.
Article em En | MEDLINE | ID: mdl-37683181
ABSTRACT
We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data-independent acquisition, the Thermo Scientific Orbitrap Astral mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific Orbitrap mass spectrometers, which have long been the gold standard for high-resolution quantitative proteomics. Our results demonstrate that the Orbitrap Astral mass spectrometer can produce high-quality quantitative measurements across a wide dynamic range. We also use a newly developed extracellular vesicle enrichment protocol to reach new depths of coverage in the plasma proteome, quantifying over 5000 plasma proteins in a 60 min gradient with the Orbitrap Astral mass spectrometer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Proteômica Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Peptídeos / Proteômica Idioma: En Revista: J Proteome Res Assunto da revista: BIOQUIMICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos