Recording of cellular physiological histories along optically readable self-assembling protein chains
<jats:title>Abstract</jats:title><jats:p>Observing 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 biol...
| Main Authors: | , , , , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2023
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| Online Access: | https://hdl.handle.net/1721.1/148699 |
| _version_ | 1811071535080800256 |
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| author | Linghu, Changyang An, Bobae Shpokayte, Monika Celiker, Orhan T Shmoel, Nava Zhang, Ruihan Zhang, Chi Park, Demian Park, Won Min Ramirez, Steve Boyden, Edward S |
| author2 | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
| author_facet | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Linghu, Changyang An, Bobae Shpokayte, Monika Celiker, Orhan T Shmoel, Nava Zhang, Ruihan Zhang, Chi Park, Demian Park, Won Min Ramirez, Steve Boyden, Edward S |
| author_sort | Linghu, Changyang |
| collection | MIT |
| description | <jats:title>Abstract</jats:title><jats:p>Observing 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.</jats:p> |
| first_indexed | 2024-09-23T08:52:22Z |
| format | Article |
| id | mit-1721.1/148699 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:52:22Z |
| publishDate | 2023 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1486992023-03-25T03:48:05Z Recording of cellular physiological histories along optically readable self-assembling protein chains Linghu, Changyang An, Bobae Shpokayte, Monika Celiker, Orhan T Shmoel, Nava Zhang, Ruihan Zhang, Chi Park, Demian Park, Won Min Ramirez, Steve Boyden, Edward S Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences <jats:title>Abstract</jats:title><jats:p>Observing 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.</jats:p> 2023-03-24T14:41:57Z 2023-03-24T14:41:57Z 2023-01-02 2023-03-24T13:04:57Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/148699 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. en 10.1038/s41587-022-01586-7 Nature Biotechnology Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Nature |
| spellingShingle | Linghu, Changyang An, Bobae Shpokayte, Monika Celiker, Orhan T Shmoel, Nava Zhang, Ruihan Zhang, Chi Park, Demian Park, Won Min Ramirez, Steve Boyden, Edward S Recording of cellular physiological histories along optically readable self-assembling protein chains |
| title | Recording of cellular physiological histories along optically readable self-assembling protein chains |
| title_full | Recording of cellular physiological histories along optically readable self-assembling protein chains |
| title_fullStr | Recording of cellular physiological histories along optically readable self-assembling protein chains |
| title_full_unstemmed | Recording of cellular physiological histories along optically readable self-assembling protein chains |
| title_short | Recording of cellular physiological histories along optically readable self-assembling protein chains |
| title_sort | recording of cellular physiological histories along optically readable self assembling protein chains |
| url | https://hdl.handle.net/1721.1/148699 |
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