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. 2010 May 10;9:103. doi: 10.1186/1476-4598-9-103

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Copyright ©2010 Marsaud et al; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Transcriptome datasets. a) The Venn diagram drawn with VENNY software shows the overlaps between the sequences that are the most differentially expressed across the three transcriptome datasets (LP-1K vs. LP-1cl1, LP-1D1b vs. LP-1cl1 and LP-1K vs. LP-1D1b, FC>2). b) We filtered genes coding for proteins involved in biological processes and having a FC>3. We have eliminated from the raw data: doublets, UG clusters corresponding to "data not found", sequences with no gene ontology (GO)-associated terms, non specific terms such as "open reading frame", "hypothetical" and "IMAGE"-containing terms. c) Functions were attributed to genes with DAVID tools. The percentage of altered genes involved in the various cellular functions is indicated by numbers.