Prediction Of Cardiac Specifically Expressed Genes By Using Cis-Regulatory Modules

BACKGROUNDTissue specific pattern of gene expression is probably determined by regulatory modules encoded in the genome DNA and trans-regulatory apparatus. However, not much information is available so far about gene regulation, which bottlenecks our high-throughput approach to computationally decipher how specific sets of genes are expressed during different tissue, cell growth, and different stage of differentiation in response to environmental cues. Therefore, one of central problems in biomedicine field is to crack the identity and function of these cis-elements within human genome.In the same way, the repertoire of cardiac gene regulation is also speculated to be encoded in the non-coding region of the genome. Many transcription factors that regulate cardiac genes specifically have been described elsewhere. Additionally, many cardiac gene mutations are culprit of the congenital heart disease or cardiomyopathy, leading to the morbidity and/or mortality. It is extremely useful to clarify the mechanism of the gene expression regulation and the genetic and environmental components in the processes for controlling and preventing the disease.OBJECTIVES(1) To develope the CardioSignal the database to collect and record genes and their cis-regulatory elements involved in heart development and cardiac hypertrophy.(2) To develop the visualization software, CardioSignalScan, for analysis of the cardiac cis-regulatory elements.(3) To formulate and construct the cardiac specific cis-regulatory module based upon the prior biological knowledge and bioinformatics analysis.(4) To screen the cardiac specific cis-regulatory modules (CRM) and used for identifying corresponding cardiac genes on the genome scale.