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Published December 19, 2014 | Published
Journal Article Open

Scaling of Gene Expression with Transcription-Factor Fugacity

Abstract

The proteins associated with gene regulation are often shared between multiple pathways simultaneously. By way of contrast, models in regulatory biology often assume these pathways act independently. We demonstrate a framework for calculating the change in gene expression for the interacting case by decoupling repressor occupancy across the cell from the gene of interest by way of a chemical potential. The details of the interacting regulatory architecture are encompassed in an effective concentration, and thus, a single scaling function describes a collection of gene expression data from diverse regulatory situations and collapses it onto a single master curve.

Additional Information

© 2014 American Physical Society. Received 18 September 2014; published 16 December 2014. We are grateful to Ned Wingreen, Sarah Marzen, Jane Kondev, Hernan Garcia, Al Sanchez, and Jan Groenewold for extremely helpful discussions. We are also grateful to the NIH for support through Grants No. DP1 0D000217 (Directors Pioneer Award) and No. R01 GM085286 and La Fondation Pierre Gilles de Gennes (R. P.). F. M.W. and R. C. B. contributed equally to this work.

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Published - PhysRevLett.113.258101.pdf

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August 20, 2023
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