2021
DOI: 10.1016/j.coisb.2021.100398
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Bacterial two-component systems as sensors for synthetic biology applications

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Cited by 38 publications
(37 citation statements)
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“…The diversity of existing cell-free sensors could ultimately lead to a new generation of encapsulated biosensors for a wide array of analytes. With the modularity of components in these systems, vesicle-based sensors could be engineered which use various membrane components, genetic circuits, and triggered responses to detect small molecules of interest (30, 56, 57). As focus shifts toward sensor application, these platforms could offer additional handles with which to tune sensor characteristics to advance the types of contexts in which cell-free sensing can operate, allowing for detection in environments like soil, ground water, or biological samples.…”
Section: Discussionmentioning
confidence: 99%
“…The diversity of existing cell-free sensors could ultimately lead to a new generation of encapsulated biosensors for a wide array of analytes. With the modularity of components in these systems, vesicle-based sensors could be engineered which use various membrane components, genetic circuits, and triggered responses to detect small molecules of interest (30, 56, 57). As focus shifts toward sensor application, these platforms could offer additional handles with which to tune sensor characteristics to advance the types of contexts in which cell-free sensing can operate, allowing for detection in environments like soil, ground water, or biological samples.…”
Section: Discussionmentioning
confidence: 99%
“…In bacteria, two-component signaling systems provide the best-known example of this mechanism. Two-component systems typically contain a transmembrane sensor protein and its associated cytosolic response regulator protein [ 57 , 58 ]. When a ligand comes into contact with the cell, it is recognized by the extracellular-facing ligand-binding domain of the sensor protein.…”
Section: Mechanistic Classes Of Biosensors Within Bacterial Cellsmentioning
confidence: 99%
“…temperature or pH), amino acids, succinate, and secondary metabolites [17][18][19][20] . Commonly, natural MRP encoded by CPAs is substantial and effective owing to their extreme importance for the survival of cells in fluctuating environments 21 . Therefore, simulating the natural MRP caused by environmental vibrations via CPA manipulation would be an effective strategy for reprogramming microbial metabolic networks.…”
Section: Mainmentioning
confidence: 99%