Please use this identifier to cite or link to this item:
http://hdl.handle.net/2289/2312
Title: | Stochastic simulations of the origins and implications of long-tailed distributions in gene expression |
Authors: | Krishna, Sandeep Banerjee, Bidisha Ramakrishnan, T.V. Shivashankar, G.V. |
Keywords: | fluctuations genetic switches single cell |
Issue Date: | 29-Mar-2005 |
Publisher: | The National Academy of Sciences |
Citation: | Proceedings of the National Academy of Sciences of the U S A., 2005, Vol.102, p4771–4776 |
Abstract: | Gene expression noise results in protein number distributions ranging from long-tailed to Gaussian. We show how long-tailed distributions arise from a stochastic model of the constituent chemical reactions and suggest that, in conjunction with cooperative switches, they lead to more sensitive selection of a subpopulation of cells with high protein number than is possible with Gaussian distributions. Single-cell-tracking experiments are presented to validate some of the assumptions of the stochastic simulations. We also examine the effect of DNA looping on the shape of protein distributions. We further show that when switches are incorporated in the regulation of a gene via a feedback loop, the distributions can become bimodal. This might explain the bimodal distribution of certain morphogens during early embryogenesis. |
Description: | Restricted Access. Please click on the alternative location for the open-access full text. |
URI: | http://hdl.handle.net/2289/2312 |
ISSN: | 0027-8424 1091-6490 (Online) |
Alternative Location: | http://dx.doi.org/10.1073/pnas.0406415102 |
Copyright: | 2005 The National Academy of Sciences |
Appears in Collections: | Research Papers (SCM) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2005PNAS_V102_p4771.pdf Restricted Access | Restricted Access | 717.48 kB | Adobe PDF | View/Open Request a copy |
Items in RRI Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.