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Evaluation of liquid chromatography-mass spectrometry for routine proteome analyses

  1. Author:
    Yu, L. R.
    Issaq, H. J.
    Conrads, T. P.
    Uo, T.
    Blonder, J.
    Janini, G. M.
    Morrison, R. S.
    Veenstra, T. D.
    1. Year: 2003
  1. Journal: Journal of Liquid Chromatography & Related Technologies
    1. 26
    2. 20
    3. Pages: 3331-3342
  2. Type of Article: Article
  1. Abstract:

    Many different separation strategies have been developed for conducting proteomic studies, but microcapillary reversed-phase liquid chromatography ( muLC) coupled online to mass spectrometry (MS) has played an undeniably central role. We have conducted a study to evaluate two different common column configurations, along with two common stationary phase materials, for their ability to identify peptides from a complex proteome digest. A 10 cm long x 75 mum inner diameter (id) capillary column with an integrated electrospray tip, and a 30 cm long x 75 mum id capillary column in which the electrospray tip is separated from the separation capillary via a stainless steel union, both packed in-house with reversed phase C-18, 5 mum, 300 Angstrom pore size particles, were evaluated for their ability to effectively resolve a complex mixture of tryptic peptides from a mouse cortical neuron proteome sample for online tandem MS (MS/MS) analysis. The results demonstrate that the continuous 10 cm long x 75 mum id capillary column with the integrated electrospray tip, enables the identification of a comparable number of peptides in a single pLC-MS/MS analysis of a proteome tryptic digestate. We further evaluated the relationship between the numbers of peptides identified vs. the amount of sample loaded onto a 10 cm long x 50 mum id column packed with 3 mum, 100 Angstrom, C- 18 reversed phase particles. The results show that more than 100 peptides can be identified from as little as 5 ng of tryptic peptides loaded, and that the number of identified peptides did not significantly increase beyond the loading of 50 ng

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  1. WOS: 000187602000001

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