Dataset Information

A proteomics platform combining depletion, multi-lectin affinity chromatography (M-LAC), and isoelectric focusing to study the breast cancer proteome.

ABSTRACT: The discovery of breast cancer associated plasma/serum biomarkers is important for early diagnosis, disease mechanism elucidation, and determination of treatment strategy for the disease. In this study of serum samples, a multidimensional fractionation platform combined with mass spectrometric analysis were used to achieve the identification of medium to lower abundance proteins, as well as to simultaneously detect glycan and abundance changes. Immuno-affinity depletion and multi-lectin chromatography (M-LAC) were integrated into an automated HPLC platform to remove high abundance protein and fractionate glycoproteins. The collected glycoproteomes were then subjected to isoelectric focusing (IEF) separation by a digital ProteomeChip (dPC), followed by in-gel digestion and LC-MS analysis using an Orbitrap mass spectrometer. As a result, the total number of identified proteins increased significantly when the IEF fractionation step was included as part of the platform. Relevant proteins with biological and disease significance were observed and the dynamic range of the serum proteome measurement was extended. In addition, potential glycan changes were indicated by comparing proteins in control and cancer samples in terms of their affinity to the multi-lectin column (M-LAC) and the pI profiles in IEF separation. In conclusion, a proteomics platform including high abundance protein depletion, lectin affinity fractionation, IEF separation, and LC-MS analysis has been applied to discover breast cancer-associated proteins. The following candidates, thrombospondin-1 and 5, alpha-1B-glycoprotein, serum amyloid P-component, and tenascin-X, were selected as promising examples of the use of this platform. They show potential abundance and glycan changes and will be further investigated in future studies.

SUBMITTER: Zeng Z

PROVIDER: S-EPMC3148019 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A proteomics platform combining depletion, multi-lectin affinity chromatography (M-LAC), and isoelectric focusing to study the breast cancer proteome.

Zeng Zhi Z Hincapie Marina M Pitteri Sharon J SJ Hanash Samir S Schalkwijk Joost J Hogan Jason M JM Wang Hong H Hancock William S WS

Analytical chemistry 20110523 12

The discovery of breast cancer associated plasma/serum biomarkers is important for early diagnosis, disease mechanism elucidation, and determination of treatment strategy for the disease. In this study of serum samples, a multidimensional fractionation platform combined with mass spectrometric analysis were used to achieve the identification of medium to lower abundance proteins, as well as to simultaneously detect glycan and abundance changes. Immuno-affinity depletion and multi-lectin chromato ...[more]

PMID: 21513341

Similar Datasets

Project description:Identification of glycosylated proteins, especially those in the plasma membrane, has the potential of defining diagnostic biomarkers and therapeutic targets as well as increasing our understanding of changes occurring in the glycoproteome during normal differentiation and disease processes. Although many cellular proteins are glycosylated they are rarely identified by mass spectrometric analysis (e.g. shotgun proteomics) of total cell lysates. Therefore, methods that specifically target glycoproteins are necessary to facilitate their isolation from total cell lysates prior to their identification by mass spectrometry-based analysis. To enrich for plasma membrane glycoproteins the methods must selectively target characteristics associated with proteins within this compartment. We demonstrate that the application of two methods, one that uses periodate to label glycoproteins of intact cells and a hydrazide resin to capture the labeled glycoproteins and another that targets glycoproteins with sialic acid residues using lectin affinity chromatography, in conjunction with liquid chromatography-tandem mass spectrometry is effective for plasma membrane glycoprotein identification. We demonstrate that this combination of methods dramatically increases coverage of the plasma membrane proteome (more than one-half of the membrane glycoproteins were identified by the two methods uniquely) and also results in the identification of a large number of secreted glycoproteins. Our approach avoids the need for subcellular fractionation and utilizes a simple detergent lysis step that effectively solubilizes membrane glycoproteins. The plasma membrane localization of a subset of proteins identified was validated, and the dynamics of their expression in HeLa cells was evaluated during the cell cycle. Results obtained from the cell cycle studies demonstrate that plasma membrane protein expression can change up to 4-fold as cells transit the cell cycle and demonstrate the need to consider such changes when carrying out quantitative proteomics comparison of cell lines.

Dataset Information

A proteomics platform combining depletion, multi-lectin affinity chromatography (M-LAC), and isoelectric focusing to study the breast cancer proteome.

Publications

A proteomics platform combining depletion, multi-lectin affinity chromatography (M-LAC), and isoelectric focusing to study the breast cancer proteome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets