BMC Genomics

official impact factor 4.21

Open Access Highly Access Research article

Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation

Xia Chen1,2, Shuang Liang1, WenLing Zheng1,3, ZhiJun Liao1, Tao Shang1 and WenLi Ma1*

Author Affiliations

1 Institute of Genetic Engineering, Southern Medical University, Guangzhou, PR China

2 Xiangya Pingkuang associated hospital, Pingxiang, Jiangxi, PR China

3 Southern Genomics Research Center, Guangzhou, Guangdong, PR China

For all author emails, please log on.

BMC Genomics 2008, 9:322 doi:10.1186/1471-2164-9-322

Published: 7 July 2008

Additional files

Additional file 1:

34 lymph node-selective genes. This file shows the gene IDs, gene names and gene symbols of 34 lymph node-selective genes.

Format: XLS Size: 24KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 2:

Figure 3. This file contains two figures of visualization of physical interactions and transcriptional associations of meta-A genes. (A) Global network involving the 23 meta-A genes labeled in red with the extended subnets centered on interaction input. (B) Close-up of two subnets of many input genes.

Format: RAR Size: 293KB Download file

Open Data

Additional file 3:

Figure 4. This file contains two figures of the network of meta-A genes or meta-B genes by adding the related transcriptional factors. (A) Network of the 23 meta-A genes in EBV infected cells linked by some related transcriptional factors. The main nodes involves transcription factors JUN, CD9 and HOXA9. (B) The network of the 45 NPC-PEL meta-B genes connected by a few related transcriptional factors: CDKN1A, NFKB1 and MYC.

Format: RAR Size: 2.1MB Download file

Open Data