Use the figure below to explore the data collapse of fold-change in gene expression as a function of the free energy. Individual data sets can be shown or hidden by clicking directly on the legend entries. Hover over each point to get information about that point including the IPTG concentration, operator identity, and number of repressors per cell. The code used to generate this figure can be found on the Code page.
The data shown above not derived from this work can be accessed via their corresponding publications, as listed below.
- Hernan G. Garcia and Rob Phillips (2011). “Quantitative dissection of the simple repression input-output function”. PNAS 108(29). DOI: 10.1073/pnas.1015616108.
- Robert C. Brewster*, Franz Weinert*, Hernan G. Garcia, Dan Song, Mattias Rydenfelt, and Rob Phillips (2014). “The Transcription Factor Titration Effect Dictates Level of Gene Expression.” Cell 156(6). DOI: 10.1016/j.cell.2014.02.022. (* contributed equally)
- Manuel Razo-Mejia*, Stephanie L. Barnes*, Nathan M. Belliveau*, Griffin Chure*, Tal Einav*, Mitchell Lewis, and Rob Phillips (2018). “Tuning Transcriptional Regulation Through Signaling: A Predictive Theory of Allosteric Induction.” 6(4). DOI: 10.1016/j.cels.2018.02.004. (* contributed equally)