Title |
Strategies for precision modulation of gene expression by epigenome editing: an overview
|
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Published in |
Epigenetics & Chromatin, September 2015
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DOI | 10.1186/s13072-015-0023-7 |
Pubmed ID | |
Authors |
Benjamin I. Laufer, Shiva M. Singh |
Abstract |
Genome editing technology has evolved rather quickly and become accessible to most researchers. It has resulted in far reaching implications and a number of novel designer systems including epigenome editing. Epigenome editing utilizes a combination of nuclease-null genome editing systems and effector domains to modulate gene expression. In particular, Zinc Finger, Transcription-Activator-Like Effector, and CRISPR/Cas9 have emerged as modular systems that can be modified to allow for precision manipulation of epigenetic marks without altering underlying DNA sequence. This review contains a comprehensive catalog of effector domains that can be used with components of genome editing systems to achieve epigenome editing. Ultimately, the evidence-based design of epigenome editing offers a novel improvement to the limited attenuation strategies. There is much potential for editing and/or correcting gene expression in somatic cells toward a new era of functional genomics and personalized medicine. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 31% |
United Kingdom | 1 | 6% |
Canada | 1 | 6% |
Unknown | 9 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 81% |
Scientists | 2 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | <1% |
United Kingdom | 2 | <1% |
Indonesia | 1 | <1% |
Korea, Republic of | 1 | <1% |
Brazil | 1 | <1% |
Italy | 1 | <1% |
Denmark | 1 | <1% |
United States | 1 | <1% |
Unknown | 220 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 49 | 21% |
Researcher | 41 | 18% |
Student > Master | 35 | 15% |
Student > Bachelor | 19 | 8% |
Student > Doctoral Student | 11 | 5% |
Other | 44 | 19% |
Unknown | 31 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 91 | 40% |
Biochemistry, Genetics and Molecular Biology | 66 | 29% |
Medicine and Dentistry | 9 | 4% |
Neuroscience | 7 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 2% |
Other | 19 | 8% |
Unknown | 33 | 14% |