Toolkit/high throughput screening
high throughput screening
Also known as: high-throughput screening
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
High-throughput screening is an assay method cited in microbial biotechnology literature as part of the CRISPR/Cas toolbox for evaluating variants generated by multiplexed engineering. In the supplied evidence, it is presented as a screening approach associated with CRISPR/Cas-based metabolic engineering and with development of new dynamic systems.
Usefulness & Problems
Why this is useful
The evidence indicates that high-throughput screening is useful for assessing large numbers of engineered microbial variants in workflows that combine CRISPR/Cas genome engineering with multiplexed strain construction. It is also described as supporting synthetic biology efforts to develop new dynamic systems.
Source:
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
Source:
We then summarize recent applications of CRISPR/Cas systems in metabolic engineering toward production of chemicals and natural compounds
Problem solved
This method helps address the need to screen engineered populations produced during CRISPR/Cas-enabled multiplexed engineering in microbial biotechnology. The supplied evidence does not specify particular assay readouts, host organisms, or molecular targets beyond this general screening role.
Source:
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
Source:
We then summarize recent applications of CRISPR/Cas systems in metabolic engineering toward production of chemicals and natural compounds
Problem links
High-throughput screening could support systematic benchmarking of many engineered model variants or perturbation conditions, which aligns with the gap's call for more systematic and representative models. It is more useful as an evaluation workflow than as a model-building solution itself.
supporting scalable evaluation of promoter designs
LiteratureIt helps evaluate promoter variants at scale during plant promoter engineering.
Source:
It helps evaluate promoter variants at scale during plant promoter engineering.
Published Workflows
Objective: Develop effective and efficient cell-free biotransformation pathways using modern cell-free systems and synthetic biology platform features.
Why it works: The abstract states that the shift to modern CFPS enabled researchers to optimize processes effectively, and that synthetic biology platforms integrate machine learning and high throughput screening for development of effective and efficient pathways.
Objective: Design tumor microenvironment-responsive AAV vectors that overcome delivery barriers in solid tumors and enable highly efficient, low-toxicity precision cancer therapy.
Why it works: The abstract states that integrating machine learning and high-throughput screening has significantly accelerated development of next-generation vectors, while capsid engineering, TME-responsive expression systems, and biomimetic camouflage are used to enhance immune evasion and tumor targeting.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Target processes
editingrecombinationselectiontranscriptionImplementation Constraints
The evidence links this method to CRISPR/Cas toolbox applications in microbial biotechnology and to synthetic biology efforts developing dynamic systems. No practical details are given on instrumentation, reporter design, selection scheme, host strain requirements, or construct architecture.
The supplied evidence does not define a specific high-throughput screening format, detection modality, throughput, or validation benchmark. It also does not provide direct experimental details showing assay sensitivity, specificity, or performance across organisms.
Validation
Supporting Sources
Ranked Claims
CRISPR-based transcriptional control, high-throughput screening, and machine learning-assisted promoter design enable the creation of tunable, orthogonal promoters suited for complex multigene expression in plants.
Natural, synthetic, hybrid, inducible, and tissue-specific promoters are used in stable transgenic plants, transient expression systems, and plant cell cultures.
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
The review summarizes recent applications of CRISPR/Cas systems in metabolic engineering toward production of chemicals and natural compounds.
We then summarize recent applications of CRISPR/Cas systems in metabolic engineering toward production of chemicals and natural compounds
The review states that building a reliable CRISPR/Cas genome-engineering system involves the Cas protein, guide RNA, and donor DNA.
key points of building reliable CRISPR/Cas system for genome engineering are discussed, including the Cas protein, the guide RNA and the donor DNA
The review describes CRISPR/Cas systems as versatile genomic engineering tools for microbial biotechnology.
The clustered regularly interspaced short palindromic repeats (CRISPR)-associated (Cas) system has been rapidly developed as versatile genomic engineering tools ... for applications in microbial biotechnology.
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
The review covers CRISPR/Cas tools for gene activation, gene interference, orthogonal CRISPR systems, and precise single base editing.
various CRISPR/Cas tools for genome engineering, including gene activation, gene interference, orthogonal CRISPR systems and precise single base editing
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic gene expression profiles can help manage trade-offs between growth and production and avoid buildup of undesired intermediates.
Dynamic gene expression profiles allow trade-offs between growth and production to be better managed and can help avoid build-up of undesired intermediates.
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Dynamic regulation strategies allow rebalancing of metabolic fluxes according to changing cellular or fermentation conditions.
a number of groups have developed strategies for dynamic regulation, which allows rebalancing of fluxes according to changing conditions in the cell or the fermentation medium
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Implementation of dynamic control is more complex than static control.
The implementation is more complex relative to static control
Approval Evidence
Emerging synthetic biology tools, such as CRISPR-based transcriptional control, high-throughput screening, and machine learning-assisted promoter design, are enabling the creation of tunable, orthogonal promoters suited for complex multigene expression.
Source:
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
Source:
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems
Source:
CRISPR-based transcriptional control, high-throughput screening, and machine learning-assisted promoter design enable the creation of tunable, orthogonal promoters suited for complex multigene expression in plants.
Source:
The review highlights application of the CRISPR/Cas toolbox to multiplexed engineering and high throughput screening.
we highlighted the application of CRISPR/Cas toolbox for multiplexed engineering and high throughput screening
Source:
Advances in high-throughput screening, screening techniques, synthetic biology, and DNA synthesis support development and innovation of new dynamic systems.
explores how advances in high-throughput screening and synthetic biology can support development of new dynamic systems... advances in screening techniques and DNA synthesis will continue to drive innovation in this field
Source:
Comparisons
Source-stated alternatives
The abstract also mentions CRISPR-based transcriptional control and machine learning-assisted promoter design.
Source:
The abstract also mentions CRISPR-based transcriptional control and machine learning-assisted promoter design.
Source-backed strengths
A key strength supported by the evidence is compatibility with multiplexed engineering, which implies utility when many engineered variants must be evaluated in parallel. The literature context also places it within metabolic engineering applications for production of chemicals and natural compounds, but no quantitative performance data are provided.
Compared with CRISPR/Cas9
The abstract also mentions CRISPR-based transcriptional control and machine learning-assisted promoter design.
Shared frame: source-stated alternative in extracted literature
Strengths here: supports high-throughput evaluation.
Source:
The abstract also mentions CRISPR-based transcriptional control and machine learning-assisted promoter design.
Compared with CRISPR/Cas9 system
The abstract also mentions CRISPR-based transcriptional control and machine learning-assisted promoter design.
Shared frame: source-stated alternative in extracted literature
Strengths here: supports high-throughput evaluation.
Source:
The abstract also mentions CRISPR-based transcriptional control and machine learning-assisted promoter design.
Ranked Citations
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