Title |
Interactions between epigenetics and metabolism in cancers
|
---|---|
Published in |
Frontiers in oncology, January 2012
|
DOI | 10.3389/fonc.2012.00163 |
Pubmed ID | |
Authors |
Jihye Yun, Jared L. Johnson, Christin L. Hanigan, Jason W. Locasale |
Abstract |
Cancer progression is accompanied by widespread transcriptional changes and metabolic alterations. While it is widely accepted that the origin of cancer can be traced to the mutations that accumulate over time, relatively recent evidence favors a similarly fundamental role for alterations in the epigenome during tumorigenesis. Changes in epigenetics that arise from post-translational modifications of histones and DNA are exploited by cancer cells to upregulate and/or downregulate the expression levels of oncogenes and tumor suppressors, respectively. Although the mechanisms behind these modifications, in particular how they lead to gene silencing and activation, are still being understood, most of the enzymatic machinery of epigenetics require metabolites as substrates or cofactors. As a result, their activities can be influenced by the metabolic state of the cell. The purpose of this review is to give an overview of cancer epigenetics and metabolism and provide examples of where they converge. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
Australia | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
Australia | 1 | <1% |
Czechia | 1 | <1% |
Brazil | 1 | <1% |
Korea, Republic of | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Unknown | 164 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 38 | 22% |
Student > Ph. D. Student | 37 | 22% |
Student > Master | 22 | 13% |
Student > Bachelor | 20 | 12% |
Student > Doctoral Student | 6 | 4% |
Other | 20 | 12% |
Unknown | 28 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 62 | 36% |
Biochemistry, Genetics and Molecular Biology | 42 | 25% |
Medicine and Dentistry | 13 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 3% |
Chemistry | 5 | 3% |
Other | 10 | 6% |
Unknown | 34 | 20% |