Fine-tuning Nanog expression heterogeneity by altering MicroRNA regulation
Samanta, T.; Kar, S.
Show abstract
Nanog exhibits a robust heterogeneous expression pattern within a population of embryonic stem cells (ESCs) under varied culture conditions. However, an efficient way to fine-tune the Nanog expression heterogeneity remains elusive. Herein, by employing a stochastic modeling approach, we demonstrate that Nanog expression heterogeneity can be controlled by modulating the regulatory features of a Nanog transcript specific microRNA. We demonstrate how and why the extent of origin dependent fluctuations in Nanog expression level can be altered by varying either the binding efficiency of the microRNA-mRNA complex or the expression level of the respective microRNA. Moreover, our model makes experimentally feasible and insightful predictions to maneuver the Nanog expression heterogeneity explicitly to achieve cell-type specific differentiation of ESCs.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells 95%
- Nearly maximal information gain due to time integration in central dogma reactions 95%
- Modeling of histone modifications reveals formation mechanism and function of bivalent chromatin 93%
Similar papers in this journal
Similar papers in this journal
- Modeling liquid-liquid phase separation and its impact on proteasomal substrate degradation 95%
- From Homogeneity to Heterogeneity: Refining Stochastic Simulations of Gene Regulation 95%
- Immune and non-immune cell fencing of tumor cells is a widespread and functionally relevant spatial pattern in solid cancers 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.