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The Search of Potential Binding Sites of Serum Response Factor (SRF) and Research of the Profile of the Binding Sites of SRF in Human Genome

Author: LiZuoGang
Tutor: TaoShiZuo
School: Northwest University of Science and Technology
Course: Biophysical
Keywords: Serum response factor CArG-box To coprecipitation Technology based on microarray technology chromosome immune Position -specific scoring matrix Statistical analysis
CLC: Q75
Type: Master's thesis
Year: 2011
Downloads: 48
Quote: 0
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Abstract


Serum response factor (Serum Response Factor, SRF) is a highly conserved and widely exists in a variety of in vivo transcriptional regulator , it is about 10bp DNA segment sequence combination with about 1216 different lengths , also called CArG- box, and through this specific combination of time and space on the regulation of the expression level of target gene transcription . Serum response factor was first discovered in the proto-oncogene c-fos , which to some extent predict the degree of attention in the field of life science research , in particular, it is associated with a variety of research focus on the pathology , such as cancer , heart disease and so on. In the past, the majority of the serum response factor to the metabolic processes with a particular disease or life contact to expect answers to the role played by it in the course of their activities mechanism . However, for the cis-acting elements , particularly in a genomic scale , with different tissue expression linked rarely. This paper aims through the use of high-throughput data based on the microarray technology chromosome immune coprecipitation get to do a general description of its whole genome scale . And due to the Chip-on-chip data itself used the four cell lines as experimental materials, to a certain extent based experiments revealed that the transcriptional regulation of the difference between different cell lines may be provided. The experiment using ENSEMBL database of human genome-wide data GRCh37 as shear parent , to adopt the NHGRI initiated ENCODE plan in GSE8489 datasets Chip-on-chip data sets - locus data set . Use a single mutation consistency sequence , position -specific scoring matrix methods such as potential CArG-box search , and the results of the statistical analysis . The following conclusions: First , the same transcription factor in different organizations , are involved in the regulation of network and regulation of intensity is different ; , PSSM is used in the search of biological macromolecules sequence specific structure The more methods ; third, eukaryotes physiological and biochemical environment on the transcription of the gene encoding the existence of a significant effect ; fourth, under suitable physiological and biochemical conditions , SRF and a simple A / T sequence repeat binding ; fifth, in the different cell lines , SRF multimeric form different role .

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CLC: > Biological Sciences > Molecular Biology > Molecular Genetics
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