A preliminary study on the cistrome of human postsynaptic density from an evolutionary and network-based perspective
Abstract
The postsynaptic density (PSD) is a neuronal organelle that consists of thousands of protein complexes, having a role in signal transduction. The emergence of the complexes is dependent on the presence of proteins provided by gene expression. In this research we used Chip-seq data supported by protein level information. We developed a pipeline using data from five neuronal transcription factors, which reduces the false-positive hits of identified binding sites. In addition we found correlation between co-regulation and protein complex formation. The developed method paves the way for a future for large scale analysis utilizing a more comprehensive set of transcription factors.
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