Chapter title |
Chromosome Conformation Capture for Research on Innate Antiviral Immunity
|
---|---|
Chapter number | 13 |
Book title |
Innate Antiviral Immunity
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7237-1_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7236-4, 978-1-4939-7237-1
|
Authors |
Yoon Jung Kim, Tae Hoon Kim, Kim, Yoon Jung, Kim, Tae Hoon |
Abstract |
Chromosome conformation capture (3C) technology has revolutionized our knowledge on chromatin folding and nuclear organization. This cis-loop detection approach can be used to identify candidate regulatory elements interacting with target gene of interest. This chapter introduces the application of 3C technique to investigate a dynamic alteration in the chromosome folding structure or genomic architecture resulting from interaction changes between the enhancer and its target gene. Innate antiviral immunity is one of the well-known gene induction systems, involving rapid first-line response to virus or pathogen to trigger gene expression changes in order to protect cells and to limit further infection. Thus, the 3C technique can be a powerful tool for exploring how enhancers control expression of immunity genes during virus infection. 3C assay consists of four major steps: Cross-linking with formaldehyde, restriction enzyme digestion, ligation of cross-linked DNA fragments, and quantitative data analysis. Here, we discuss in detail the design, application, and data analysis of a 3C experiment. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 40% |
Professor | 1 | 20% |
Student > Doctoral Student | 1 | 20% |
Professor > Associate Professor | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 100% |