Spatial stochastic modelling of the Hes1 gene regulatory network: intrinsic noise can explain heterogeneity in embryonic stem cell differentiation

نویسندگان

  • Marc Sturrock
  • Andreas Hellander
  • Anastasios Matzavinos
  • Mark A. J. Chaplain
چکیده

Individual mouse embryonic stem cells have been found to exhibit highly variable differentiation responses under the same environmental conditions. The noisy cyclic expression of Hes1 and its downstream genes are known to be responsible for this, but the mechanism underlying this variability in expression is not well understood. In this paper, we show that the observed experimental data and diverse differentiation responses can be explained by a spatial stochastic model of the Hes1 gene regulatory network. We also propose experiments to control the precise differentiation response using drug treatment.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

P-88: Comparing Epigenetic Profile of Oct4 Regulatory Region in Embryonal Carcinoma Cells under Retinoic Acid Induction

Background: Embryonal carcinoma (EC) cells derived from germ cell tumors are valuable tools for investigating differentiation and developmental biology processes in vitro. The advantage of the reproducible and rapid expansion of these cell lines provides a useful alternative to embryos for the study of mammalian cell differentiation. During early stages of cell differentiation, the rate of tran...

متن کامل

Nuclear Architecture and Epigenetics of Lineage Choice

Differentiation is an epigenetic process which is installed by changes of transcriptional programs over successive cellular divisions. A number of studies have reported the effects of biochemical modifications of chromatin (DNA and chromatin proteins) on the regulation of transcription. Although, these studies are able to explain how transcription of a given gene is regulated (toward activation...

متن کامل

Multivariate Feature Extraction for Prediction of Future Gene Expression Profile

Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of h...

متن کامل

Multivariate Feature Extraction for Prediction of Future Gene Expression Profile

Introduction: The features of a cell can be extracted from its gene expression profile. If the gene expression profiles of future descendant cells are predicted, the features of the future cells are also predicted. The objective of this study was to design an artificial neural network to predict gene expression profiles of descendant cells that will be generated by division/differentiation of h...

متن کامل

Stochastic promoter activation affects Nanog expression variability in mouse embryonic stem cells

Mouse embryonic stem cells (mESCs) are self-renewing and capable of differentiating into any of the three germ layers. An interesting feature of mESCs is the presence of cell-to-cell heterogeneity in gene expression that may be responsible for cell fate decisions. Nanog, a key transcription factor for pluripotency, displays heterogeneous expression in mESCs, via mechanisms that are not fully un...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2013