Parallelized Acquisition of Orbitrap and Astral Analyzers Enables High-Throughput Quantitative Analysis

被引:65
|
作者
Stewart, Hamish [1 ]
Grinfeld, Dmitry [1 ]
Giannakopulos, Anastassios [1 ]
Petzoldt, Johannes [1 ]
Shanley, Toby [1 ]
Garland, Matthew [1 ]
Denisov, Eduard [1 ]
Peterson, Amelia [1 ]
Damoc, Eugen [1 ]
Zeller, Martin [1 ]
Arrey, Tabiwang [1 ]
Pashkova, Anna [1 ]
Renuse, Santosh [2 ]
Hakimi, Amirmansoor [2 ]
Kuhn, Andreas [1 ]
Biel, Matthias [1 ]
Kreutzmann, Arne [1 ]
Hagedorn, Bernd [1 ]
Colonius, Immo [1 ]
Schutz, Adrian [1 ]
Stefes, Arne [1 ]
Dwivedi, Ankit [1 ]
Mourad, Daniel [1 ]
Hoek, Max [1 ]
Reitemeier, Bastian [1 ]
Cochems, Philipp [1 ,2 ]
Kholomeev, Alexander [1 ]
Ostermann, Robert [1 ]
Quiring, Gregor [1 ]
Ochmann, Maximilian [1 ]
Mohring, Sascha [1 ]
Wagner, Alexander [1 ]
Petker, Andre [1 ]
Kanngiesser, Sebastian [1 ]
Wiedemeyer, Michael [1 ]
Balschun, Wilko [1 ]
Hermanson, Daniel [2 ]
Zabrouskov, Vlad [2 ]
Makarov, Alexander [1 ]
Hock, Christian [1 ]
机构
[1] Thermo Fisher Sci, D-28199 Bremen, Germany
[2] Thermo Fisher Sci, San Jose, CA 95134 USA
关键词
MASS-SPECTROMETER; PROTEOME COVERAGE; QUADRUPOLE; IDENTIFICATION; DRAFT;
D O I
10.1021/acs.analchem.3c02856
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The growing trend toward high-throughput proteomics demands rapid liquid chromatography-mass spectrometry (LC-MS) cycles that limit the available time to gather the large numbers of MS/MS fragmentation spectra required for identification. Orbitrap analyzers scale performance with acquisition time and necessarily sacrifice sensitivity and resolving power to deliver higher acquisition rates. We developed a new mass spectrometer that combines a mass-resolving quadrupole, the Orbitrap, and the novel Asymmetric Track Lossless (Astral) analyzer. The new hybrid instrument enables faster acquisition of high-resolution accurate mass (HRAM) MS/MS spectra compared with state-of-the-art mass spectrometers. Accordingly, new proteomics methods were developed that leverage the strengths of each HRAM analyzer, whereby the Orbitrap analyzer performs full scans with a high dynamic range and resolution, synchronized with the Astral analyzer's acquisition of fast and sensitive HRAM MS/MS scans. Substantial improvements are demonstrated over previous methods using current state-of-the-art mass spectrometers
引用
收藏
页码:15656 / 15664
页数:9
相关论文
共 50 条
  • [41] High-throughput screening of acetals/ketals in edible essences via GC-Orbitrap-MS and their formation rates at room temperature
    Wang, Xiaoyu
    Guo, Qiong
    Pan, Lining
    Nie, Cong
    Bi, Yiming
    Qin, Yaqiong
    Xie, Fuwei
    Du, Fangqi
    Peng, Yuhan
    Wang, Bing
    Liu, Ruihong
    Wang, Hui
    Hong, Qunye
    Liu, Kejian
    FOOD CHEMISTRY, 2025, 472
  • [42] Barcoding intracellular reverse transcription enables high-throughput phenotype-coupled T cell receptor analyses
    Jayaraman, Sahana
    Montagne, Janelle M.
    Nirschl, Thomas R.
    Marcisak, Emily
    Johnson, Jeanette
    Huff, Amanda
    Hsiao, Meng-Hsuan
    Nauroth, Julie
    Heumann, Thatcher
    Zarif, Jelani C.
    Jaffee, Elizabeth M.
    Azad, Nilo
    Fertig, Elana J.
    Zaidi, Neeha
    Larman, H. Benjamin
    CELL REPORTS METHODS, 2023, 3 (10):
  • [43] High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites
    Whitington, Tom
    Perkins, Andrew C.
    Bailey, Timothy L.
    NUCLEIC ACIDS RESEARCH, 2009, 37 (01) : 14 - 25
  • [44] miRanalyzer: an update on the detection and analysis of microRNAs in high-throughput sequencing experiments
    Hackenberg, Michael
    Rodriguez-Ezpeleta, Naiara
    Aransay, Ana M.
    NUCLEIC ACIDS RESEARCH, 2011, 39 : W132 - W138
  • [45] Microbiome characterization by high-throughput transfer RNA sequencing and modification analysis
    Schwartz, Michael H.
    Wang, Haipeng
    Pan, Jessica N.
    Clark, Wesley C.
    Cui, Steven
    Eckwahl, Matthew J.
    Pan, David W.
    Parisien, Marc
    Owens, Sarah M.
    Cheng, Brian L.
    Martinez, Kristina
    Xu, Jinbo
    Chang, Eugene B.
    Pan, Tao
    Eren, A. Murat
    NATURE COMMUNICATIONS, 2018, 9
  • [46] Dual LC-MS Platform for High-Throughput Proteome Analysis
    Orton, Dennis J.
    Wall, Mark J.
    Doucette, Alan A.
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (12) : 5963 - 5970
  • [47] High-Throughput Analysis of Clinical Flow Cytometry Data by Automated Gating
    Lee, Hunjoong
    Sun, Yongliang
    Patti-Diaz, Lisa
    Hedrick, Michael
    Ehrhardt, Anka G.
    BIOINFORMATICS AND BIOLOGY INSIGHTS, 2019, 13
  • [48] TOPPAS: A Graphical Workflow Editor for the Analysis of High-Throughput Proteomics Data
    Junker, Johannes
    Bielow, Chris
    Bertsch, Andreas
    Sturm, Marc
    Reinert, Knut
    Kohlbachert, Oliver
    JOURNAL OF PROTEOME RESEARCH, 2012, 11 (07) : 3914 - 3920
  • [49] Automated High-Throughput Affinity Capture-Mass Spectrometry Platform with Data-Independent Acquisition
    Jing, Hui
    Richardson, Paul L.
    Potts, Gregory K.
    Senaweera, Sameera
    Marin, Violeta L.
    Mcclure, Ryan A.
    Banlasan, Adam
    Tang, Hua
    Kath, James E.
    Patel, Shitalben
    Torrent, Maricel
    Ma, Renze
    Williams, Jon D.
    JOURNAL OF PROTEOME RESEARCH, 2025, 24 (02) : 537 - 549
  • [50] A Primer on the Analysis of High-Throughput Sequencing Data for Detection of Plant Viruses
    Kutnjak, Denis
    Tamisier, Lucie
    Adams, Ian
    Boonham, Neil
    Candresse, Thierry
    Chiumenti, Michela
    De Jonghe, Kris
    Kreuze, Jan F.
    Lefebvre, Marie
    Silva, Goncalo
    Malapi-Wight, Martha
    Margaria, Paolo
    Plesko, Irena Mavriric
    McGreig, Sam
    Miozzi, Laura
    Remenant, Benoit
    Reynard, Jean-Sebastien
    Rollin, Johan
    Rott, Mike
    Schumpp, Olivier
    Massart, Sebastien
    Haegeman, Annelies
    MICROORGANISMS, 2021, 9 (04)