| Title |
Transcription factor decoy against stem cells master regulators, Nanog and Oct-4: a possible approach for differentiation therapy
|
|---|---|
| Published in |
Tumor Biology, December 2014
|
| DOI | 10.1007/s13277-014-2884-y |
| Pubmed ID | |
| Authors |
Seyed Mohammad Ali Hosseini Rad, Taravat Bamdad, Majid Sadeghizadeh, Ehsan Arefian, Majid Lotfinia, Milad Ghanipour |
| Abstract |
Transcription factor decoys (TFDs) are exogenous oligonucleotides which can compete by cis-elements in promoters or enhancers for binding to TFs and downregulating gene expression in a specific manner. It is believed that tumor mass originates from cancer stem cells (CSCs) which the same with embryonic stem cells (ESCs) have the properties of both pluripotency and self-renewal (stemness). Many transcription factors such as Nanog, Oct-4, Sox2, Klf4, and Sall4 act as master regulators in the maintenance of stemness in both cell types. Differentiation therapy is based on this theory that by differentiation of CSCs, tumor mass can be eliminated with common cancer therapy methods. To our knowledge, the present study is the first report of a TFD approach against master regulator of stemness, Nanog, Oct-4, and Klf4, for downregulation purposes in P19 embryonic carcinoma stem cell. Different simple and complex decoys against Nanog, OCT-4, Sox2, and Klf4 were designed and used for this purpose. The results showed that the applied decoys especially Nanog-specific decoy decreased the expression of downstream genes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 26% |
| Agricultural and Biological Sciences | 6 | 26% |
| Chemistry | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 9 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2014.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Tumor Biology
#1,370
of 2,622 outputs
Outputs of similar age
#261,383
of 360,902 outputs
Outputs of similar age from Tumor Biology
#76
of 147 outputs
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