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Biomedical subjects

Rong Xiang

Publications and source records attributed to Rong Xiang.

39 records · Page 3Linked to original sources

A simple solid phase mass tagging approach for quantitative proteomics.

New mass-tagging reagents for quantitative proteomics measurements have been designed using solid phase peptide synthesis technology. The solid phase mass tags have been used to accurately measure the relative amounts of cysteine-containing peptides in model peptide mixtures as well as in mixtures of tryptic digests in the femtomol range. Measurements were made using both matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) and online reversed-phase capillary liquid chromatography coupled through a nanoelectrospray interface to an ion trap mass spectrometer (capillary LC/ESI-MS). Results of mass-tagging experiments obtained from these two mass spectrometry techniques and their relative advantages and disadvantages for identification and quantitation of mass tagged peptides are compared. These reagents provide a simple, rapid and cost-effective alternative to currently available mass tagging technologies.

Chromatography, High Pressure Liquid↗

2D LC/MS analysis of membrane proteins from breast cancer cell lines MCF7 and BT474.

Membrane proteins play a central role in the interaction of the cell with its environment and in the function of subcellular organelles. The current study focused on developing a better understanding of the membrane proteome of two well-characterized breast cancer cell lines. Membranes from osmotically lysed BT474 and MCF7 cells were treated with cyanogen bromide followed by a combination of trypsin and Staphylococcus V8 protease to obtain hydrophilic peptides from membrane proteins. The complex peptide mixtures obtained were separated by 2-dimensional liquid chromatography coupled online with a nano-electrospray ionization ion trap mass spectrometer (2D LC/nanoESI-MS). The strong cation exchange column used in the first dimension of the separation was eluted in an automated fashion using a series of salt steps of increasing concentration. Peptides eluted from each of the salt steps were separated using a capillary reversed-phase HPLC column, the output of which was directed through a nano-electrospray fused silica tip into the mass spectrometer. Peptides were fragmented by collision-induced dissociation (CID) and analyzed by data-dependent MS/MS followed by database searching using the Sequest algorithm. Analysis of the data revealed both similarities and expected differences between proteins identified from these cell lines. As demonstrated by others, mRNA and the HER2/neu protein tyrosine kinase-linked receptor in BT474 cells is up regulated compared to its level in MCF7, while the expression of the estrogen receptor alpha is known to be up regulated in MCF7 cells. As expected, our studies showed identification of peptides from HER2 in BT474 while estrogen receptor peptides were detected in the MCF7 line. A total of 604 proteins were identified from BT474 membranes while 313 proteins were found from MCF7. The results are discussed in terms of the known differences in both protein and mRNA expression between these two breast cancer cell lines and also in the context of other known phenotypic differences between these cells.

Breast Neoplasms↗

Quantitative analysis of membrane proteins from breast cancer cell lines BT474 and MCF7 using multistep solid phase mass tagging and 2D LC/MS.

We introduce a new multistep mass tagging technique and show its utility for reducing sample complexity when coupled with two-dimensional liquid chromatography/nano-electrospray ionization ion trap mass spectrometry (2D LC/nano ESI-MS). Solid-phase mass tagging reagents were used to identify and obtain relative quantitation of membrane proteins from two established breast cancer cell lines, BT474 and MCF7. The results presented in this study show that sample complexity can be reduced with corresponding increases in protein identification and quantitation.

Amino Acid Sequence↗