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Open Access Highly Accessed Research article

Comparative proteomic analysis of plasma membrane proteins between human osteosarcoma and normal osteoblastic cell lines

Zhiyu Zhang3*, Lijun Zhang2*, Yingqi Hua14, Xiaofang Jia2, Jian Li4, Shuo Hu4, Xia Peng2, Pengyuan Yang5, Mengxiong Sun4, Fang Ma2 and Zhengdong Cai14*

Author Affiliations

1 Musculoskeletal Oncology Center, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China

2 Shanghai Public Health Clinical Center, Shanghai 201508, China

3 Department of Orthopaedics, The 4th Affiliated Hospital, China Medical University, Shenyang, 110032, China

4 Changhai Hospital, Second Military Medical University, Shanghai 200433, China

5 Department of Chemistry, Fudan University, Shanghai 200433, China

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BMC Cancer 2010, 10:206  doi:10.1186/1471-2407-10-206

Published: 14 May 2010

Abstract

Background

Osteosarcoma (OS) is the most common primary malignant tumor of bone in children and adolescents. However, the knowledge in diagnostic modalities has progressed less. To identify new biomarkers for the early diagnosis of OS as well as for potential novel therapeutic candidates, we performed a sub-cellular comparative proteomic research.

Methods

An osteosarcoma cell line (MG-63) and human osteoblastic cells (hFOB1.19) were used as our comparative model. Plasma membrane (PM) was obtained by aqueous two-phase partition. Proteins were analyzed through iTRAQ-based quantitative differential LC/MS/MS. The location and function of differential proteins were analyzed through GO database. Protein-protein interaction was examined through String software. One of differentially expressed proteins was verified by immunohistochemistry.

Results

342 non-redundant proteins were identified, 68 of which were differentially expressed with 1.5-fold difference, with 25 up-regulated and 43 down-regulated. Among those differential proteins, 69% ware plasma membrane, which are related to the biological processes of binding, cell structure, signal transduction, cell adhesion, etc., and interaction with each other. One protein--CD151 located in net nodes was verified to be over-expressed in osteosarcoma tissue by immunohistochemistry.

Conclusion

It is the first time to use plasma membrane proteomics for studying the OS membrane proteins according to our knowledge. We generated preliminary but comprehensive data about membrane protein of osteosarcoma. Among these, CD151 was further validated in patient samples, and this small molecule membrane might be a new target for OS research. The plasma membrane proteins identified in this study may provide new insight into osteosarcoma biology and potential diagnostic and therapeutic biomarkers.