| Chapter title |
Regulation of Stem Cell Self-Renewal and Oncogenesis by RNA-Binding Proteins
|
|---|---|
| Chapter number | 7 |
| Book title |
RNA Processing
|
| Published in |
Advances in experimental medicine and biology, January 2016
|
| DOI | 10.1007/978-3-319-29073-7_7 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-929071-3, 978-3-31-929073-7
|
| Authors |
Ayuna Hattori, Kristina Buac, Takahiro Ito, Hattori, Ayuna, Buac, Kristina, Ito, Takahiro |
| Abstract |
Throughout their life span, multicellular organisms rely on stem cell systems. During development pluripotent embryonic stem cells give rise to all cell types that make up the organism. After birth, tissue stem cells maintain properly functioning tissues and organs under homeostasis as well as promote regeneration after tissue damage or injury. Stem cells are capable of self-renewal, which is the ability to divide indefinitely while retaining the potential of differentiation into multiple cell types. The ability to self-renew, however, is a double-edged sword; the molecular mechanisms of self-renewal can be a target of malignant transformation driving tumor development and progression. Growing lines of evidence have shown that RNA-binding proteins (RBPs) play pivotal roles in the regulation of self-renewal by modulating metabolism of coding and non-coding RNAs both in normal tissues and in cancers. In this review, we discuss our current understanding of tissue stem cell systems and how RBPs regulate stem cell fates as well as how the regulatory functions of RBPs contribute to oncogenesis. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Bachelor | 5 | 13% |
| Student > Master | 3 | 8% |
| Researcher | 3 | 8% |
| Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 16 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 23% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Medicine and Dentistry | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 5 | 13% |
| Unknown | 14 | 36% |