Name
Title | ||
|---|---|---|
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy. |
Abstract | ||
|---|---|---|
BackgroundGlioma differentiation therapy is a novel strategy that has been used to induce glioma cells to differentiate into glia-like cells. Although some advances in experimental methods for exploring the molecular mechanisms involved in differentiation therapy have been made, a model-based comprehensive analysis is still needed to understand these differentiation mechanisms and improve the effects of anti-cancer therapeutics. This type of analysis becomes necessary in stochastic cases for two main reasons: stochastic noise inherently exists in signal transduction and phenotypic regulation during targeted therapy and chemotherapy, and the relationship between this noise and drug efficacy in differentiation therapy is largely unknown. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12918-016-0316-x | BMC Systems Biology |
Keywords | Field | DocType |
Stochastic modeling, Ultrasensitivity, Noise, Differentiation efficiency, Drug resistance, Glioma differentiation therapy | Targeted therapy,Biology,Glioma,Systems biology,Cellular differentiation,Differentiation therapy,Signal transduction,Bioinformatics,Drug,Ultrasensitivity | Journal |
Volume | Issue | ISSN |
10 | 1 | 1752-0509 |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoqiang Sun | 1 | 17 | 4.09 |
| Jiajun Zhang | 2 | 20 | 2.79 |
| Qi Zhao | 3 | 1 | 0.37 |
| Xing Chen | 4 | 95 | 9.74 |
| Wenbo Zhu | 5 | 1 | 0.37 |
| Guangmei Yan | 6 | 1 | 0.37 |
| Tianshou Zhou | 7 | 216 | 41.22 |