Proteomic analysis of human cataract aqueous humour: Comparison of one-dimensional gel LCMS with two-dimensional LCMS of unlabelled and iTRAQ®-labelled specimens

J Proteomics. 2011 Feb 1;74(2):151-66. doi: 10.1016/j.jprot.2010.10.002. Epub 2010 Oct 16.


In this study, we report a comparative and quantitative analysis by mass spectrometry of the protein content of aqueous humour from cataract (control) patients. In addition to protein profiling, the approach is layered with quantitative proteomics using the iTRAQ® methodology. Aqueous humour from ten clinically-matched patients was collected and depleted of albumin and immunoglobulin G. Pairs of patient material were pooled and divided into three aliquots for subsequent analysis by alternative proteomic approaches. Excluding keratin, trypsin, residual albumin and immunoglobulins, a total of 198 protein groups were identified across the entire study. Relative protein quantitation with iTRAQ® revealed that 88% of the proteins had a maximal ±2-fold differential regulation between 3 of the 4 labelled samples, indicating minimal variation. The identified proteins were categorised by gene ontology and one third of the proteins were annotated as extracellular. The major molecular functions of the proteins in aqueous humour are binding (protein, metal ion, heparin, and DNA) and inhibition of proteolytic activity. Complementary to molecular function, the predominant biological processes for the proteins in aqueous humour are assigned to inflammatory and immune responses, and transport.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aqueous Humor / chemistry
  • Aqueous Humor / metabolism*
  • Cataract / metabolism*
  • Chromatography, Liquid / methods
  • Electrophoresis, Gel, Two-Dimensional / methods
  • Electrophoresis, Polyacrylamide Gel / methods
  • Eye Proteins / analysis*
  • Eye Proteins / chemistry
  • Eye Proteins / metabolism
  • Humans
  • Isotope Labeling / methods
  • Mass Spectrometry / methods
  • Proteomics / methods*


  • Eye Proteins