Recording of cellular physiological histories along optically readable self-assembling protein chains
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s41587-022-01586-7.pdf
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Published version
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7.4 MB
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Author(s) • • • • • • • • •
Linghu, Changyang
An, Bobae
Shpokayte, Monika
Celiker, Orhan T
Shmoel, Nava
Zhang, Ruihan
Zhang, Chi
Park, Demian
Park, Won Min
Ramirez, Steve
Date Issued
January 2, 2023
Journal
Nature Biotechnology
Publisher
Springer Science and Business Media LLC
Citation
Linghu, Changyang, An, Bobae, Shpokayte, Monika, Celiker, Orhan T, Shmoel, Nava et al. 2023. "Recording of cellular physiological histories along optically readable self-assembling protein chains." Nature Biotechnology.
Version
Final published version
Abstract
AbstractObserving cellular physiological histories is key to understanding normal and disease-related processes. Here we describe expression recording islands—a fully genetically encoded approach that enables both continual digital recording of biological information within cells and subsequent high-throughput readout in fixed cells. The information is stored in growing intracellular protein chains made of self-assembling subunits, human-designed filament-forming proteins bearing different epitope tags that each correspond to a different cellular state or function (for example, gene expression downstream of neural activity or pharmacological exposure), allowing the physiological history to be read out along the ordered subunits of protein chains with conventional optical microscopy. We use expression recording islands to record gene expression timecourse downstream of specific pharmacological and physiological stimuli in cultured neurons and in living mouse brain, with a time resolution of a fraction of a day, over periods of days to weeks.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/s41587-022-01586-7