BMC Genomics

official impact factor 4.21

Open Access Highly Access Research article

Can subtle changes in gene expression be consistently detected with different microarray platforms?

Paola Pedotti1, Peter AC 't Hoen1*, Erno Vreugdenhil3, Geert J Schenk3, Rolf HAM Vossen2, Yavuz Ariyurek2, Mattias de Hollander1,4, Rowan Kuiper1,4, Gertjan JB van Ommen1, Johan T den Dunnen1,2, Judith M Boer1 and Renée X de Menezes1,5

Author Affiliations

1 Center for Human and Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands

2 Leiden Genome Technology Center, Leiden University Medical Center, Leiden, The Netherlands

3 Division of Medical Pharmacology, Leiden/Amsterdam Center for Drug Research, Leiden, The Netherlands

4 Department of Technology, Study Programme Bioinformatics, Hogeschool Leiden, Leiden, The Netherlands

5 Pediatric Oncology, Erasmus Medical Center, Rotterdam, The Netherlands

For all author emails, please log on.

BMC Genomics 2008, 9:124 doi:10.1186/1471-2164-9-124

Published: 10 March 2008

Additional files

Additional file 1:

suppl.material.pedotti. contains a more detailed comparison of the performance of AGL and AFF microarrays.

Format: DOC Size: 533KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 2:

table.S1.pedotti. contains a list of the genes selected for the validation with qRT-PCR and its results.

Format: DOC Size: 93KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 3:

table.S2.pedotti. contains the hybridization design for the two color arrays (AGL and LGTC).

Format: DOC Size: 71KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 4:

all.data.UG. contains the expression data of all the 5 platforms for the subset of genes with overlapping UG identifiers.

Format: TXT Size: 8.7MB Download file

Open Data