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A synthetic gene circuit for imaging-free detection of dynamic cell signaling

Pavithran T. Ravindran, Sarah McFann, Jared E. Toettcher
doi: https://doi.org/10.1101/2021.01.06.425615
Pavithran T. Ravindran
1Department of Molecular Biology, Princeton University, Princeton NJ 08544
2Department of Chemical and Biological Engineering, Princeton University, Princeton NJ 08544
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Sarah McFann
1Department of Molecular Biology, Princeton University, Princeton NJ 08544
2Department of Chemical and Biological Engineering, Princeton University, Princeton NJ 08544
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Jared E. Toettcher
1Department of Molecular Biology, Princeton University, Princeton NJ 08544
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  • For correspondence: toettcher@princeton.edu
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Abstract

Cells employ intracellular signaling pathways to sense and respond to changes in their external environment. In recent years, live-cell biosensors have revealed complex pulsatile dynamics in many pathways, but studies of these signaling dynamics are limited by the necessity of live-cell imaging at high spatiotemporal resolution1. Here, we describe an approach to infer pulsatile signaling dynamics from just a single measurement in fixed cells using a pulse-detecting gene circuit. We computationally screened for circuit with pulse detecting capability, revealing an incoherent feedforward topology that robustly performs this computation. We then implemented the motif experimentally for the Erk signaling pathway using a single engineered transcription factor and fluorescent protein reporter. Our ‘recorder of Erk activity dynamics’ (READer) responds sensitively to both spontaneous and stimulus-driven Erk pulses. READer circuits thus open the door to permanently labeling transient, dynamic cell populations to elucidate the mechanistic underpinnings and biological consequences of signaling dynamics.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted January 06, 2021.
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A synthetic gene circuit for imaging-free detection of dynamic cell signaling
Pavithran T. Ravindran, Sarah McFann, Jared E. Toettcher
bioRxiv 2021.01.06.425615; doi: https://doi.org/10.1101/2021.01.06.425615
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A synthetic gene circuit for imaging-free detection of dynamic cell signaling
Pavithran T. Ravindran, Sarah McFann, Jared E. Toettcher
bioRxiv 2021.01.06.425615; doi: https://doi.org/10.1101/2021.01.06.425615

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