Study On Co - Expression Of DsRNA And MRNA In MEGF8 Gene Mutant Mice

There is a significant relationship between lnc RNA and certain diseases, but today’s research is just in its infancy. However,with the development of high-throughput gene sequencing technology, more and more secrets will be found.Meanwhile,establishing lnc RNA-m RNA coexpression networks will provide us a new way to think of the interactions between the two, which will help us further explore and understand the mechanism of lnc RNA.Differences coexpression analysis(DCEA) can detect the change of gene in two different states and help us explore the underlying phenotypic changes in global transcriptional mechanisms. On this basis, the regulatory analysis algorithms can identify the regulatory factors of differentially co-expressed genes and gene pairs by taking advantage of the known regulation relationship of mice target genes and transcription factors.In this paper, a control group was m EGF8 gene mutant mice and normal mice. By exploring differences in global gene regulatory networks of both mice and compared the existing targeted gene libraries,we identify the key regulatory factor of m EGF8 gene. At the same time, due to the experimental data from different sources, we can identify what sources is more suitable for this method through the above result, which also can play a guiding role in the later experiments.The author first describes the development history of lnc RNA and differential co-expression analysis(DCEA), then describes the principle of DCEA and associated algorithms. By using the R language DCGL package, we complete the full process analysis, and finally identifed the appropriate regulatory factors and draw the corresponding regulation diagramsuccessfully. And by comparing the two results,we find that the data from r RNA depletion method is more suitable for differences co-expression analysis.