A comparison of MS2-based label-free quantitative proteomic techniques with regards to accuracy and precision

被引:17
|
作者
Colaert, Niklaas [1 ,2 ]
Vandekerckhove, Joel [1 ,2 ]
Gevaert, Kris [1 ,2 ]
Martens, Lennart [1 ,2 ]
机构
[1] VIB, Dept Med Prot Res, Ghent, Belgium
[2] Univ Ghent, Dept Biochem, B-9000 Ghent, Belgium
关键词
Accuracy; Bioinformatics; Label free; Precision; Quality control; Quantitative proteomics; QUANTIFICATION; PROTEIN;
D O I
10.1002/pmic.201000521
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The advent of algorithms for fragmentation spectrum-based label-free quantitative proteomics has enabled straightforward quantification of shotgun proteomic experiments. Despite the popularity of these approaches, few studies have been performed to assess their performance. We have therefore profiled the precision and the accuracy of three distinct relative label-free methods on both the protein and the proteome level. We derived our test data from two well-characterized publicly available quantitative data sets.
引用
收藏
页码:1110 / 1113
页数:4
相关论文
共 50 条
  • [1] The Effect of Peptide Identification Search Algorithms on MS2-Based Label-Free Protein Quantification
    Degroeve, Sven
    Staes, An
    De Bock, Pieter-Jan
    Martens, Lennart
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2012, 16 (09) : 443 - 448
  • [2] The evaluation and application of a label-free quantitative proteomic strategy based on LC-ESI-MS/MS
    Chen Ming
    Ying Wan-Tao
    Fang Qin-Mei
    Sun Wei
    He Fu-Chu
    Qian Xiao-Hong
    PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2008, 35 (04) : 401 - 409
  • [3] Systematic Assessment of Survey Scan and MS2-Based Abundance Strategies for Label-Free Quantitative Proteomics Using High-Resolution MS Data
    Tu, Chengjian
    Li, Jun
    Sheng, Quanhu
    Zhang, Ming
    Qu, Jun
    JOURNAL OF PROTEOME RESEARCH, 2014, 13 (04) : 2069 - 2079
  • [4] Proteomics Analysis of Human Renal Clear Cell Carcinoma by Two MS2-based Label-free Approaches
    Guo, Jia
    Liu, Jin-Hua
    Yang, Zhao-Wei
    Li, Yi
    He, Cheng-Yan
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2020, 48 (10) : 1351 - 1358
  • [5] Label-free quantitative proteomic analysis of adult Drosophila heads
    Zhang, Yan
    Nezis, Ioannis P.
    STAR PROTOCOLS, 2022, 3 (04):
  • [6] Label-free quantitative proteomic analysis of the YAP/TAZ interactome
    Kohli, Priyanka
    Bartram, Malte P.
    Habbig, Sandra
    Pahmeyer, Caroline
    Lamkemeyer, Tobias
    Benzing, Thomas
    Schermer, Bernhard
    Rinschen, Markus M.
    AMERICAN JOURNAL OF PHYSIOLOGY-CELL PHYSIOLOGY, 2014, 306 (09): : C805 - C818
  • [7] Quantitative Proteomic Analysis of Microdissected Breast Cancer Tissues: Comparison of Label-Free and SILAC-based Quantification with Shotgun, Directed, and Targeted MS Approaches
    Liu, Ning Qing
    Dekker, Lennard J. M.
    Stingl, Christoph
    Guzel, Coskun
    De Marchi, Tommaso
    Martens, John W. M.
    Foekens, John A.
    Luider, Theo M.
    Umar, Arzu
    JOURNAL OF PROTEOME RESEARCH, 2013, 12 (10) : 4627 - 4641
  • [8] Comparison of label and label-free approaches for quantitative proteome analysis
    Pinto, D.
    Melanson, J.
    Avery, S.
    Chisholm, K.
    Locke, S.
    Alaoui-Jamali, M.
    MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (08) : S326 - S326
  • [9] Label-free quantitative proteomic analysis of insect larval and metamorphic molts
    Si, Weiye
    Wang, Qingjie
    Li, Yu
    Dong, Dujuan
    BMC DEVELOPMENTAL BIOLOGY, 2020, 20 (01):
  • [10] Label-free quantitative proteomic analysis of tolerance to drought in Pisum sativum
    Castillejo, Maria-Angeles
    Iglesias-Garcia, Rebeca
    Wienkoop, Stefanie
    Rubiales, Diego
    PROTEOMICS, 2016, 16 (21) : 2776 - 2787