作者: K Kalyan Kumar , MVP Chowdary , Stanley Mathew , Lakshmi Rao , C Murali Krishna
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摘要: Proteomics is a promising approach for molecular understanding of neoplastic processes including response to treatment. Widely used 2D-gel electrophoresis/Liquid chromatography coupled with mass spectrometry (LCMS) are time consuming and not cost effective. We have developed high-sensitivity (femto/subfemtomoles of protein/20 ml) High Performance Liquid Chromatography- Laser Induced Fluorescence HPLC-LIF instrument studying protein profiles biological samples. In this study, we have explored the feasibility classifying breast tissues by multivariate analysis chromatographic data. analyzed 13 normal, 17 malignant, 5 benign 4 post-treatment breast-tissue homogenates. Data was Principal Component Analysis PCA in both unsupervised supervised modes on derivative baseline-corrected chromatograms. Our findings suggest that chromatograms gives better classification. Thus, HPLCLIF instrument only suitable generation of chromatographic data using femto/subfemto moles proteins but can also be objective diagnosis via analysis. Prospectively, identified fractions collected biochemical and/or MS methods.