Open Access Research article

Identification of a radiosensitivity signature using integrative metaanalysis of published microarray data for NCI-60 cancer cells

Han Sang Kim12, Sang Cheol Kim3, Sun Jeong Kim1, Chan Hee Park1, Hei-Cheul Jeung12, Yong Bae Kim4, Joong Bae Ahn12, Hyun Cheol Chung125 and Sun Young Rha125*

Author Affiliations

1 Cancer Metastasis Research Center, Yonsei University College of Medicine, Seoul, Korea

2 Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea

3 Korean Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea

4 Department of Radiation Oncology, Yonsei Cancer Center, Seoul, Korea

5 Brain Korea 21 Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea

For all author emails, please log on.

BMC Genomics 2012, 13:348  doi:10.1186/1471-2164-13-348

Published: 30 July 2012

Additional files

Additional file 1:

List of 179 genes selected in more than three platforms. “Down” refers to decreased expression observed in radiosensitive cells relative to radioresistant cells, determined as the slope of the correlation coefficient. False discovery rate was calculated from SAM analysis.

Format: XLS Size: 57KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 2:

Scatter plots of the 31 radiosensitivity signature genes between gene expression and radiosensitivity (SF2) in cDNA microarray.

Format: PDF Size: 42KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

Scatter plots of the 31 radiosensitivity signature genes between gene expression and radiosensitivity (SF2) in HU-6800 microarray.

Format: PDF Size: 23KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 4:

Scatter plots of the 31 radiosensitivity signature genes between gene expression and radiosensitivity (SF2) in Affy U133 microarray.

Format: PDF Size: 24KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 5:

Scatter plots of the 31 radiosensitivity signature between gene expression and radiosensitivity (SF2) in Affy U95 microarray.

Format: PDF Size: 24KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 6:

Interaction between identified radiosensitivity genes and target genes for the integrin signaling pathway from the Ingenuity knowledge base.

Format: DOC Size: 43KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 7:

Comparison with published radiosensitivity signatures. Previously reported genes in our gene lists are highlighted in yellow.

Format: XLS Size: 55KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 8:

Adjusted correlation coefficient and p-value of 31 radiosensitivity signature genes to remove the effect of lymphoid origin using mean-centering and standardization method in four microarrays.

Format: XLS Size: 41KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data