These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Differential radioactive proteomic analysis of microdissected renal cell carcinoma tissue by 54 cm isoelectric focusing in serial immobilized pH gradient gels.
    Author: Poznanović S, Wozny W, Schwall GP, Sastri C, Hunzinger C, Stegmann W, Schrattenholz A, Buchner A, Gangnus R, Burgemeister R, Cahill MA.
    Journal: J Proteome Res; 2005; 4(6):2117-25. PubMed ID: 16335957.
    Abstract:
    We present a proof of principle study, using laser microdissection and pressure catapulting (LMPC) of two clinical tissue samples, each containing approximately 3.8 microg renal cell carcinoma protein and 3.8 microg normal kidney protein respectively from one patient. The study involved separate radio-iodination of each sample with both (125)I and (131)I, dual inverse replicate sample loading to high resolution 54 cm "daisy chain" serial immobilized pH gradient isoelectric focusing (IPG-IEF) 2D-PAGE gels, co-electrophoretic separation of cross-labeled proteins from different samples, and precision multiplex differential radioactive imaging to obtain signals specific for each sample coelectrophoresed within single gels but labeled with different isotopes of iodine, providing extremely precise intra-gel estimates of the abundance ratio for protein spots from both samples. Twelve multiplexed analytical radioactive SDS-gels from 4 serial IPG-IEF gels provided 24 individual radioactive images for a comprehensive analytical protein multiplex quantification study. A further 12 SDS gels containing (125)I-labeled sample were coelectrophoresed with preparative protein amounts obtained from whole tissue sections for the mass spectrometric identification of comigrating proteins. This consumed <40% of the (125)I-labeled sample, and <20% of the (131)I-labeled sample from the respective original 3.8 microg samples. Twenty-nine proteins were identified by mass spectrometry with PMF scores >70 that were >2-fold differentially abundant between the samples and t-test probabilities <0.05. We conclude that this combination of technologies provides excellent quality protein multiplex data for the differential abundance analysis of large numbers of proteins from extremely small samples, and is applicable to a broad range of clinical and related applications.
    [Abstract] [Full Text] [Related] [New Search]