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Figure 1 | Journal of Biology

Figure 1

From: Can modular analysis identify disease-associated candidate genes for therapeutics?

Figure 1

Flowchart of the modular analysis by Benson and colleagues [1]. Integration of several public gene expression datasets revealed a group of shared (blue) and closely connected clique (red and black) disease-associated genes. A subset of these genes were found to share the T-cell receptor signalling pathway, an observation that was then validated by independent experimentation. To identify a transcription factor (GATA3) regulating one of this subset, the ITK gene, a promoter analysis was performed. The final module of 37 disease-associated genes consisted of genes listed in public databases as having relevant expression patterns and interacting with GATA3.

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