Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise

Maya Dadiani, David Van Dijk, Barak Segal, Yair Field, Gil Ben-Artzi, Tali Raveh-Sadka, Michal Levo, Irene Kaplow, Adina Weinberger, Eran Segal

Research output: Contribution to journalArticlepeer-review

46 Scopus citations


Individual cells from a genetically identical population exhibit substantial variation in gene expression. A significant part of this variation is due to noise in the process of transcription that is intrinsic to each gene, and is determined by factors such as the rate with which the promoter transitions between transcriptionally active and inactive states, and the number of transcripts produced during the active state. However, we have a limited understanding of how the DNA sequence affects such promoter dynamics. Here, we used single-cell time-lapse microscopy to compare the effect on transcriptional dynamics of two distinct types of sequence changes in the promoter that can each increase the mean expression of a cell population by similar amounts but through different mechanisms. We show that increasing expression by strengthening a transcription factor binding site results in slower promoter dynamics and higher noise as compared with increasing expression by adding nucleosome-disfavoring sequences. Our results suggest that when achieving the same mean expression, the strategy of using stronger binding sites results in a larger number of transcripts produced from the active state, whereas the strategy of adding nucleosome-disfavoring sequences results in a higher frequency of promoter transitions between active and inactive states. In the latter strategy, this increased sampling of the active state likely reduces the expression variability of the cell population. Our study thus demonstrates the effect of cis-regulatory elements on expression variability and points to concrete types of sequence changes that may allow partial decoupling of expression level and noise.

Original languageEnglish
Pages (from-to)966-976
Number of pages11
JournalGenome Research
Issue number6
StatePublished - Jun 2013
Externally publishedYes


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