Responding to Data Analysis and Evaluation Challenges in Mass Spectrometry-Based Methods for High-Throughput Proteomics

被引:0
|
作者
Brill, Laurence M. [1 ]
机构
[1] NCI, Canc Ctr Prote Facil, Sanford Burnham Med Res Inst, La Jolla, CA USA
关键词
STATISTICAL-MODEL; PROTEINS;
D O I
暂无
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Technology implemented in proteomics studies has recently been scrutinized for its effectiveness. As reported in a recent Nature Methods paper, questions have been raised about sample preparation, sample handling, data analysis, and data evaluation with the latter two being highlighted most. This article presents a new data management method that is specifically designed to handle the large amounts of data produced in proteomics studies. Experimental methods and data are presented from a recent study conducting proteomics profiling of Schizosaccharomyces pombe (S. pombe) (published in Methods) to demonstrate the effectiveness of the data management solution. The results demonstrate enhanced data search speeds as well as effective data analysis.
引用
收藏
页码:36 / 39
页数:4
相关论文
共 50 条
  • [41] Current challenges in software solutions for mass spectrometry-based quantitative proteomics
    Cappadona, Salvatore
    Baker, Peter R.
    Cutillas, Pedro R.
    Heck, Albert J. R.
    van Breukelen, Bas
    AMINO ACIDS, 2012, 43 (03) : 1087 - 1108
  • [42] Mass spectrometry-based structural proteomics
    Serpa, Jason J.
    Parker, Carol. E.
    Petrotchenko, Evgeniy V.
    Han, Jun
    Pan, Jingxi
    Borchers, Christoph H.
    EUROPEAN JOURNAL OF MASS SPECTROMETRY, 2012, 18 (02) : 251 - 267
  • [43] Mass spectrometry-based clinical proteomics
    Pusch, W
    Flocco, MT
    Leung, SM
    Thiele, H
    Kostrzewa, M
    PHARMACOGENOMICS, 2003, 4 (04) : 463 - 476
  • [44] The mzIdentML Data Standard for Mass Spectrometry-Based Proteomics Results
    Jones, Andrew R.
    Eisenacher, Martin
    Mayer, Gerhard
    Kohlbacher, Oliver
    Siepen, Jennifer
    Hubbard, Simon J.
    Selley, Julian N.
    Searle, Brian C.
    Shofstahl, James
    Seymour, Sean L.
    Julian, Randall
    Binz, Pierre-Alain
    Deutsch, Eric W.
    Hermjakob, Henning
    Reisinger, Florian
    Griss, Johannes
    Vizcaino, Juan Antonio
    Chambers, Matthew
    Pizarro, Angel
    Creasy, David
    MOLECULAR & CELLULAR PROTEOMICS, 2012, 11 (07)
  • [45] Origins of mass spectrometry-based proteomics
    Matthias Mann
    Nature Reviews Molecular Cell Biology, 2016, 17 : 678 - 678
  • [46] Current challenges in software solutions for mass spectrometry-based quantitative proteomics
    Salvatore Cappadona
    Peter R. Baker
    Pedro R. Cutillas
    Albert J. R. Heck
    Bas van Breukelen
    Amino Acids, 2012, 43 : 1087 - 1108
  • [47] Improving the reliability and throughput of mass spectrometry-based proteomics by spectrum quality filtering
    Flikka, K
    Martens, L
    Vandekerckhoe, J
    Gevaert, K
    Eidhammer, I
    PROTEOMICS, 2006, 6 (07) : 2086 - 2094
  • [48] The development and assessment of high-throughput mass spectrometry-based methods for the quantification of a nanoparticle drug delivery agent in cellular lysate
    Buse, Joshua
    Purves, Randy W.
    Verrall, Ronald E.
    Badea, Ildiko
    Zhang, Haixia
    Mulligan, Christopher C.
    Peru, Kerry M.
    Bailey, Jonathan
    Headley, John V.
    El-Aneed, Anas
    JOURNAL OF MASS SPECTROMETRY, 2014, 49 (11): : 1171 - 1180
  • [49] Spectral quality assessment for high-throughput tandem mass spectrometry proteomics
    Purvine, S
    Kolker, N
    Kolker, E
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2004, 8 (03) : 255 - 265
  • [50] Advanced nanoscale separations and mass spectrometry for sensitive high-throughput proteomics
    Shen, YF
    Smith, RD
    EXPERT REVIEW OF PROTEOMICS, 2005, 2 (03) : 431 - 447