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An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation

Tarmo Äijö1, Sanna M Edelman2, Tapio Lönnberg2, Antti Larjo14, Henna Kallionpää23, Soile Tuomela23, Emilia Engström2, Riitta Lahesmaa2 and Harri Lähdesmäki24*

Author Affiliations

1 Department of Signal Processing, Tampere University of Technology, Tampere, Finland

2 Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland

3 Turku Doctoral Programme of Biomedical Sciences, Turku, Finland

4 Department of Information and Computer Science, Aalto University, Helsinki, Finland

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BMC Genomics 2012, 13:572  doi:10.1186/1471-2164-13-572

Published: 30 October 2012

Additional files

Additional file 1:

Figure S1. Additional data file 1 is a PDF containing two panels illustrating the sensitivity of Sorad to identify changes in time series by integrating modest changes between time series over time.

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Additional file 2:

Table S1. The following additional data are available with the online version of this paper. Additional data file 2 is a table showing the full results of the LIGAP analysis.

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Additional file 3:

Table S2. Additional data file 3 is a table listing the enriched transcription factor binding motifs in the set of Th2 specific genes and the overlapping genes, and the full listing of predicted STAT6 binding sites and the overlapping genes with the published promoter associated STAT6 targets.

Format: XLSX Size: 36KB Download file

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