Reverse-phase protein lysate microarrays for cell signaling analysis

被引:130
作者
Spurrier, Brett [1 ,2 ]
Ramalingam, Sundhar [3 ]
Nishizuka, Satoshi [1 ,4 ,5 ]
机构
[1] NCI, Mol Translat Technol Sect, Mol Therapeut Program, NIH, Bethesda, MD 20892 USA
[2] Aushon BioSyst, Billerica, MA 01821 USA
[3] Univ N Carolina, Sch Med, Chapel Hill, NC 27599 USA
[4] NCI, Lab Prote & Analyt Technol, SAIC Frederick Inc, Frederick, MD 21702 USA
[5] Iwate Med Univ, Dept Surg, Mol Therapeut Lab, Morioka, Iwate 0208505, Japan
关键词
D O I
10.1038/nprot.2008.179
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
'Reverse-phase' protein lysate microarray (RPA) assays use micro-scale, cell lysate dot blots that are printed to a substrate, followed by quantitative immunochemical protein detection, known to be particularly effective across many samples. Large-scale sample collection is a labor-intensive and time-consuming process; the information yielded from RPA assays, however, provides unique opportunities to experimentally interpret theoretical protein networks quantitatively. When specific antibodies are used, RPA can generate 1,000 times more data points using 10,000 times less sample volume than an ordinary western blot, enabling researchers to monitor quantitative proteomic responses for various time-scale and input-dose gradients simultaneously. Hence, the RPA system can be an excellent method for experimental validation of theoretical protein network models. Besides the initial screening of primary antibodies, collection of several hundreds of sample lysates from 1- to 8-h periods can be completed in similar to 10 d; subsequent RPA printing and signal detection steps require an additional 2-3 d.
引用
收藏
页码:1796 / 1808
页数:13
相关论文
共 25 条
  • [1] A comparison of selected mRNA and protein abundances in human liver
    Anderson, L
    Seilhamer, J
    [J]. ELECTROPHORESIS, 1997, 18 (3-4) : 533 - 537
  • [2] CALVERT VS, 2004, CLIN PROTEOM, V1, P81
  • [3] Carlisle AJ, 2000, MOL CARCINOGEN, V28, P12, DOI 10.1002/(SICI)1098-2744(200005)28:1<12::AID-MC3>3.0.CO
  • [4] 2-Q
  • [5] Protein microarrays for multiplex analysis of signal transduction pathways
    Chan, SM
    Ermann, J
    Su, L
    Fathman, CG
    Utz, PJ
    [J]. NATURE MEDICINE, 2004, 10 (12) : 1390 - 1396
  • [6] Enzyme Immunoassay (EIA)/Enzyme-Linked Immunosorbent Assay (ELISA)
    Lequin, RM
    [J]. CLINICAL CHEMISTRY, 2005, 51 (12) : 2415 - 2418
  • [7] Molecular profiling of human cancer
    Liotta, L
    Petricoin, E
    [J]. NATURE REVIEWS GENETICS, 2000, 1 (01) : 48 - 56
  • [8] AbMiner: A bioinformatic resource on available monoclonal antibodies and corresponding gene identifiers for genomic, proteomic, and immunologic studies
    Major, Sylvia M.
    Nishizuka, Satoshi
    Morita, Daisaku
    Rowland, Rick
    Sunshine, Margot
    Shankavaram, Uma
    Washburn, Frank
    Asin, Daniel
    Kouros-Mehr, Hosein
    Kane, David
    Weinstein, John N.
    [J]. BMC BIOINFORMATICS, 2006, 7 (1)
  • [9] Evaluation method of ordinary flatbed scanners for quantitative density analysis
    Nishizuka, S
    Washburn, NR
    Munson, PJ
    [J]. BIOTECHNIQUES, 2006, 40 (04) : 442 - +
  • [10] Proteomic profiling of the NCI-60 cancer cell lines using new high-density reverse-phase lysate microarrays
    Nishizuka, S
    Charboneau, L
    Young, L
    Major, S
    Reinhold, WC
    Waltham, M
    Kouros-Mehr, H
    Bussey, KJ
    Lee, JK
    Espina, V
    Munson, PJ
    Petricoin, E
    Liotta, LA
    Weinstein, JN
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (24) : 14229 - 14234