AI Article Synopsis

  • The NCI Clinical Proteomic Tumor Analysis Consortium (CPTAC) utilized breast cancer xenograft proteomes to validate data collection methods for The Cancer Genome Atlas (TCGA).
  • They conducted extensive analysis using mass spectrometry across different technologies, generating a significant number of experiments to assess the consistency of proteomic data.
  • Results showed high reproducibility of differential genes across replicates and instruments, demonstrating the reliability of current technologies in proteomic differentiation and potential biological pathway analysis.

Article Abstract

The NCI Clinical Proteomic Tumor Analysis Consortium (CPTAC) employed a pair of reference xenograft proteomes for initial platform validation and ongoing quality control of its data collection for The Cancer Genome Atlas (TCGA) tumors. These two xenografts, representing basal and luminal-B human breast cancer, were fractionated and analyzed on six mass spectrometers in a total of 46 replicates divided between iTRAQ and label-free technologies, spanning a total of 1095 LC-MS/MS experiments. These data represent a unique opportunity to evaluate the stability of proteomic differentiation by mass spectrometry over many months of time for individual instruments or across instruments running dissimilar workflows. We evaluated iTRAQ reporter ions, label-free spectral counts, and label-free extracted ion chromatograms as strategies for data interpretation (source code is available from http://homepages.uc.edu/~wang2x7/Research.htm ). From these assessments, we found that differential genes from a single replicate were confirmed by other replicates on the same instrument from 61 to 93% of the time. When comparing across different instruments and quantitative technologies, using multiple replicates, differential genes were reproduced by other data sets from 67 to 99% of the time. Projecting gene differences to biological pathways and networks increased the degree of similarity. These overlaps send an encouraging message about the maturity of technologies for proteomic differentiation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4779376PMC
http://dx.doi.org/10.1021/acs.jproteome.5b00859DOI Listing

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