Automating the High-Throughput Screening of Protein-Based Optical Indicators and Actuators Article Swipe
Jihwan Lee
,
Beatriz Campillo
,
Shaminta Hamidian
,
Zhuohe Liu
,
Matthew Shorey
,
François St-Pierre
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1021/acs.biochem.2c00357
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1021/acs.biochem.2c00357
Over the last 25 years, protein engineers have developed an impressive collection of optical tools to interface with biological systems: indicators to eavesdrop on cellular activity and actuators to poke and prod native processes. To reach the performance level required for their downstream applications, protein-based tools are usually sculpted by iterative rounds of mutagenesis. In each round, libraries of variants are made and evaluated, and the most promising hits are then retrieved, sequenced, and further characterized. Early efforts to engineer protein-based optical tools were largely manual, suffering from low throughput, human error, and tedium. Here, we describe approaches to automating the screening of libraries generated as colonies on agar, multiwell plates, and pooled populations of single-cell variants. We also briefly discuss emerging approaches for screening, including cell-free systems and machine learning.
Related Topics
Concepts
Computer science
Throughput
High-throughput screening
Interface (matter)
Actuator
Mutagenesis
Microtiter plate
Computational biology
Artificial intelligence
Bioinformatics
Chemistry
Biology
Mutation
Molecular biology
Telecommunications
Biochemistry
Operating system
Maximum bubble pressure method
Gene
Wireless
Bubble
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1021/acs.biochem.2c00357
- OA Status
- green
- Cited By
- 3
- References
- 93
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307715532
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4307715532Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1021/acs.biochem.2c00357Digital Object Identifier
- Title
-
Automating the High-Throughput Screening of Protein-Based Optical Indicators and ActuatorsWork title
- Type
-
reviewOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-31Full publication date if available
- Authors
-
Jihwan Lee, Beatriz Campillo, Shaminta Hamidian, Zhuohe Liu, Matthew Shorey, François St-PierreList of authors in order
- Landing page
-
https://doi.org/10.1021/acs.biochem.2c00357Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/9852035Direct OA link when available
- Concepts
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Computer science, Throughput, High-throughput screening, Interface (matter), Actuator, Mutagenesis, Microtiter plate, Computational biology, Artificial intelligence, Bioinformatics, Chemistry, Biology, Mutation, Molecular biology, Telecommunications, Biochemistry, Operating system, Maximum bubble pressure method, Gene, Wireless, BubbleTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
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2025: 1, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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