| Chapter title |
Techniques to Study Epigenetic Control and the Epigenome in Parasites
|
|---|---|
| Chapter number | 10 |
| Book title |
Parasite Genomics Protocols
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-1438-8_10 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-1437-1, 978-1-4939-1438-8
|
| Authors |
Sheila C Nardelli, Li-Min Ting, Kami Kim, Sheila C. Nardelli, Nardelli, Sheila C., Ting, Li-Min, Kim, Kami |
| Abstract |
Epigenetics is the study of heritable changes in gene expression that occur independent of the DNA sequence. Due to their intimacy with DNA, histones have a central role in chromatin structure and epigenetic regulation. Their tails are subject to posttranslational modifications (PTMs) that together with chromatin-remodeling proteins control the access of different proteins to DNA and allow a precise response to different environmental conditions. The first part of this chapter is dedicated to histone enrichment methods that allow the study of histones using techniques such as immunoblot or mass spectrometry for the mapping of the histone PTM network. Next we describe chromatin immunoprecipitation-based techniques (ChIP) for study of the epigenome. ChIP followed by microarray or next-generation sequencing enables the precise genomic localization of protein-DNA interactions. These techniques for genome-wide profiling of chromatin provide powerful and efficient tools to study the epigenome. |
X Demographics
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|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 19% |
| Student > Master | 3 | 19% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Biochemistry, Genetics and Molecular Biology | 3 | 19% |
| Computer Science | 1 | 6% |
| Neuroscience | 1 | 6% |
| Unknown | 6 | 38% |