Rapid sample processing for LC-MS-based quantitative proteomics using high intensity focused ultrasound

被引:38
作者
Lopez-Ferrer, Daniel [1 ]
Heibeck, Tyler H. [1 ]
Petritis, Konstantinos [1 ]
Hixson, Kim K. [2 ]
Qian, Weijun [1 ]
Monroe, Matthew E. [1 ]
Mayampurath, Anoop [2 ]
Moore, Ronald J. [1 ]
Belov, Mikhail E. [1 ]
Camp, David G., II [1 ]
Smith, Richard D. [1 ]
机构
[1] Pacific NW Natl Lab, Div Biol Sci, Richland, WA 99352 USA
[2] Pacific NW Natl Lab, Environm Mol Sci Lab, Richland, WA 99352 USA
关键词
ultrasound; O-18; labeling; bottom up proteomics; tryptic digestion;
D O I
10.1021/pr800161x
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
A new sample processing workflow that uses high intensity focused ultrasound to rapidly reduce and alkylate cysteines, digest proteins and then label peptides with O-18 was developed for quantitative proteomics applications. Each step was individually refined to minimize reaction times, peptide loses and undesired byproducts or modifications. When this novel workflow was used, mouse plasma proteins were successfully denatured, alkylated, in-solution digested, and O-18-labeled in <10 min for subsequent analysis by liquid chromatography-electrospray ionization high resolution mass spectrometry. Performance was evaluated in terms of the number of mouse plasma peptides and proteins identified in a shotgun approach and the quantitative dynamic range. The results were compared with previously published results obtained using conventional sample preparation methods and were found to be similar. Advantages of the new method include greatly simplified and accelerated sample processing, as well as being readily amenable to automation.
引用
收藏
页码:3860 / 3867
页数:8
相关论文
共 29 条
  • [1] ADAMS MW, 1991, ACS SYM SER, V498, P86
  • [2] Identification of membrane proteins from mammalian cell/tissue using methanol-facilitated solubilization and tryptic digestion coupled with 2D-LC-MS/MS
    Blonder, Josip
    Chan, King C.
    Issaq, Haleem J.
    Veenstra, Timothy D.
    [J]. NATURE PROTOCOLS, 2006, 1 (06) : 2784 - 2790
  • [3] Statistical intelligence: effective analysis of high-density microarray data
    Draghici, S
    [J]. DRUG DISCOVERY TODAY, 2002, 7 (11) : S55 - S63
  • [4] AN APPROACH TO CORRELATE TANDEM MASS-SPECTRAL DATA OF PEPTIDES WITH AMINO-ACID-SEQUENCES IN A PROTEIN DATABASE
    ENG, JK
    MCCORMACK, AL
    YATES, JR
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 1994, 5 (11) : 976 - 989
  • [5] Comparison of digestion protocols for microgram quantities of enriched protein samples
    Hervey, W. Judson, IV
    Strader, Michael Brad
    Hurst, Gregory B.
    [J]. JOURNAL OF PROTEOME RESEARCH, 2007, 6 (08) : 3054 - 3061
  • [6] Automated reduction and interpretation of high resolution electrospray mass spectra of large molecules
    Horn, DM
    Zubarev, RA
    McLafferty, FW
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY, 2000, 11 (04) : 320 - 332
  • [7] Fully automated four-column capillary LC-MS system for maximizing throughput in proteomic analyses
    Livesay, Eric A.
    Tang, Keqi
    Taylor, Beverley K.
    Buschbach, Michael A.
    Hopkins, Derek F.
    LaMarche, Brian L.
    Zhao, Rui
    Shen, Yufeng
    Orton, Daniel J.
    Moore, Ronald J.
    Kelly, Ryan T.
    Udseth, Harold R.
    Smith, Richard D.
    [J]. ANALYTICAL CHEMISTRY, 2008, 80 (01) : 294 - 302
  • [8] Ultra fast trypsin digestion of proteins by high intensity focused ultrasound
    López-Ferrer, D
    Capelo, JL
    Vázquez, J
    [J]. JOURNAL OF PROTEOME RESEARCH, 2005, 4 (05) : 1569 - 1574
  • [9] Statistical model for large-scale peptide identification in databases from tandem mass spectra using SEQUEST
    López-Ferrer, D
    Martinez-Bartolomé, S
    Villar, M
    Campillos, M
    Martín-Maroto, F
    Vázquez, J
    [J]. ANALYTICAL CHEMISTRY, 2004, 76 (23) : 6853 - 6860
  • [10] Quantitative proteomics using 16O/18O labeling and linear ion trap mass spectrometry
    Lopez-Ferrer, Daniel
    Ramos-Fernandez, Antonio
    Martinez-Bartolome, Salvador
    Garcia-Ruiz, Predestinacion
    Vazquez, Jesus
    [J]. PROTEOMICS, 2006, 6 : S4 - S11