PI predictor in the media

Our pi predictor paper and web tool were mentioned by several news sources:
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Our latest paper on the cover of Genome Research


Our latest paper on the cover of Genome Research

Marathon runners represent the dynamics of the transcription process, influenced by DNA sequence elements. In this issue, single-cell time-lapse microscopy experiments were used to shed light on the ways in which two types of promoter elements—nucleosome disfavoring sequences and transcription factor binding sites—influence transcription dynamics. Promoter dynamics dictate the transcriptional noise across a cell population, as illustrated by the variability between the runners.


Our new noise paper just got published. In this work we explore the effects of two types of promoter elements on transcription: transcription factor binding sites and nucleosome disfavouring sequences. We show that both can change the mean expression of a gene, across a population of cells, however in different ways. Gene expression occurs in bursts, and we predict that changes in binding affinity change the number of transcripts produced per burst, while changes in the nucleosome occupancy change the frequency of bursts. The former should increase the noise with expression, the latter should decrease the noise. Both time-lapse microscopy and flow-cytometry measurements confirm this prediction.

Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise
M Dadiani, D van Dijk, B Segal, Y Field, G Ben-Artzi, T Raveh-Sadka, M Levo, I Kaplow, A Weinberger and E Segal
Genome Research

A computer simulation shows that mean expression can increase through an increase in either the frequency of transcription or the number of transcripts produced per transcription event.