BMC Cancer

official impact factor 3.15

Open Access Highly Access Research article

An integrative multi-platform analysis for discovering biomarkers of osteosarcoma

Guodong Li1,2, Wenjuan Zhang3, Huazong Zeng4*, Lei Chen5, Wenjing Wang6, Jilong Liu4, Zhiyu Zhang1 and Zhengdong Cai1,2*

Author Affiliations

1 Department of Orthopaedics, Tenth People's Hospital, Tongji University, Shanghai 200072, PR China

2 Department of Orthopaedics, Changhai Hospital, Second Military Medical University, Shanghai 200433, PR China

3 School of Life Sciences, Fudan University, Shanghai 200433, PR China

4 Shanghai Sensichip Co Ltd, Shanghai 200433, PR China

5 International Co-operation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai 200438, PR China

6 Shanghai Municipal Center for Disease Control & Prevention, Shanghai 200336, PR China

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BMC Cancer 2009, 9:150 doi:10.1186/1471-2407-9-150

Published: 16 May 2009

Additional files

Additional file 1:

The cluster analysis of 653 differentially expressed genes. The figure provided represents the cluster analysis of 653 differentially expressed genes. The logarithms of the expression level, from high to low, were denoted by color (from red, black, to green). The first line was the 'control' dataset, and the other lines were 'case' dataset from 3 OS cell lines MG-63, Saos-2 and U-2 OS.

Format: JPEG Size: 13.2MB Download file

Open Data

Additional file 2:

List of 653 differentially expressed genes. The data provided shows the list of 653 differentially expressed genes.

Format: XLS Size: 225KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data