@inproceedings{fa7be918b9f54198884875e4220e91f8,
title = "Temperature dependence of leakiness of transcription repression mechanisms of Escherichia coli",
abstract = "In E. coli, transcription repression is essential in cellular functioning. However, its failure rates are non-negligible. We measured the leakiness rate of lacO3O1 promoter with single RNA sensitivity and its temperature dependence in live cells. After finding strong temperature dependence, we dissected the causes. While RNA polymerase numbers and kt, the rate of active transcription, vary weakly with temperature, the repression strength (dependent on number of repressors and binding and unbinding rates of repressors to the promoter) is heavily temperature dependent. We conclude that the lacO3O1 leakiness at low temperatures increases as the repression mechanism{\textquoteright}s efficiency hampers.",
keywords = "lacO3O1, Leakiness, MS2-GFP RNA detection, Repression, Time-lapse confocal microscopy, Transcription",
author = "Nadia Goncalves and Oliveira, {Samuel M D} and Kandavalli, {Vinodh K.} and Fonseca, {Jose M.} and {S. Ribeiro}, Andre",
year = "2016",
language = "English",
isbn = "9783319451763",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "341--342",
booktitle = "Computational Methods in Systems Biology - 14th International Conference, CMSB 2016",
address = "Germany",
note = "International Conference on Computational Methods in Systems Biology ; Conference date: 01-01-1900",
}