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Antibody screening database for protein kinetic modeling

  1. Author:
    Spurrier, B.
    Washburn, F. L.
    Asin, S.
    Ramalingam, S.
    Nishizuka, S.
  2. Author Address

    NCI, NIH, Mol Therapeut Program, Mol Translat Technol Sect, Bethesda, MD 20892 USA. NCI, SAIC Frederick Inc, Lab Proteom & Analyt Technol, Frederick, MD 21701 USA. Iwate Med Univ, Sch Med, Dept Surg, Morioka, Iwate 020, Japan.;Nishizuka, S, NCI, NIH, Mol Therapeut Program, Mol Translat Technol Sect, Bethesda, MD 20892 USA.;nishizus@mail.nih.gov
    1. Year: 2007
    2. Date: Sep
  1. Journal: Proteomics
    1. 7
    2. 18
    3. Pages: 3259-3263
  2. Type of Article: Article
  3. ISSN: 1615-9853
  1. Abstract:

    Knowledge-based proteomic studies rely on the availability of quality antibodies. The increasing number of commercially available antibodies covers a wide range of protein networks; however, performance of each antibody can vary, depending on what type of cells, treatments, and time points are studied. Here, we describe an antibody database in which we screened 279 antibodies against multiple cell lysates after various treatments and from different time points. We applied these quality-confirmed antibodies on protein arrays, showing their utility for protein kinetic modeling.

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External Sources

  1. DOI: 10.1002/pmic.200700117
  2. WOS: 000249903900003

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