Spatial Multiplexing of Fluorescent Reporters for Imaging Signaling Network Dynamics
Name
1-s2.0-S0092867420313994-main.pdf
Description
Published version
Size
11.45 MB
Format
Adobe PDF
Checksum (MD5)
5e28f8746ddea9df6c7ba285025b563d
Author(s)
Linghu, Changyang
Johnson, Shannon L
Valdes, Pablo A
Shemesh, Or A
Park, Won Min
Park, Demian
Piatkevich, Kiryl D
Wassie, Asmamaw T
Liu, Yixi
An, Bobae
Date Issued
2020
Journal
Cell
Publisher
Elsevier BV
Version
Final published version
Abstract
© 2020 The Author(s) In order to analyze how a signal transduction network converts cellular inputs into cellular outputs, ideally one would measure the dynamics of many signals within the network simultaneously. We found that, by fusing a fluorescent reporter to a pair of self-assembling peptides, it could be stably clustered within cells at random points, distant enough to be resolved by a microscope but close enough to spatially sample the relevant biology. Because such clusters, which we call signaling reporter islands (SiRIs), can be modularly designed, they permit a set of fluorescent reporters to be efficiently adapted for simultaneous measurement of multiple nodes of a signal transduction network within single cells. We created SiRIs for indicators of second messengers and kinases and used them, in hippocampal neurons in culture and intact brain slices, to discover relationships between the speed of calcium signaling, and the amplitude of PKA signaling, upon receiving a cAMP-driving stimulus.
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Center for Neurobiological Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Biology
Koch Institute for Integrative Cancer Research at MIT
Howard Hughes Medical Institute
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.cell.2020.10.035
