Source 1review2017Bioresource Technology
Toolkit/riboswitch-based amino acid sensors
riboswitch-based amino acid sensors
Taxonomy: Mechanism Branch / Component. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
To address current limitations of metabolic engineering, this article gives insights on recent systems metabolic engineering approaches based on functional tools and method such as genome reduction, amino acid sensors based on transcriptional regulators and riboswitches...
Usefulness & Problems
Why this is useful
These are amino acid sensors based on riboswitches. The review includes them among functional tools for systems metabolic engineering of amino acid producing strains.; amino acid sensing; systems metabolic engineering
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These are amino acid sensors based on riboswitches. The review includes them among functional tools for systems metabolic engineering of amino acid producing strains.
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amino acid sensing
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systems metabolic engineering
Problem solved
The review positions riboswitch-based sensors as one way to address limitations in metabolic engineering.; addresses current limitations of metabolic engineering
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The review positions riboswitch-based sensors as one way to address limitations in metabolic engineering.
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addresses current limitations of metabolic engineering
Problem links
addresses current limitations of metabolic engineering
LiteratureThe review positions riboswitch-based sensors as one way to address limitations in metabolic engineering.
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The review positions riboswitch-based sensors as one way to address limitations in metabolic engineering.
Taxonomy & Function
Primary hierarchy
Mechanism Branch
Component: A low-level RNA part used inside a larger architecture that realizes a mechanism.
Techniques
No technique tags yet.
Target processes
editingtranscriptionInput: Light
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: spectral hardware requirementoperating role: sensor
Implementation requires riboswitch regulatory elements coupled to the engineered production context. The abstract does not provide specific riboswitch examples or assay formats.; requires riboswitch-based regulatory elements
The abstract does not specify their dynamic range, specificity, or limitations relative to other sensor types.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
Recent systems metabolic engineering approaches to address current limitations of metabolic engineering include genome reduction, amino acid sensors based on transcriptional regulators and riboswitches, CRISPR interference, small regulatory RNAs, DNA scaffolding, and optogenetic control.
Approval Evidence
1 source1 linked approval claimfirst-pass slug riboswitch-based-amino-acid-sensors
To address current limitations of metabolic engineering, this article gives insights on recent systems metabolic engineering approaches based on functional tools and method such as genome reduction, amino acid sensors based on transcriptional regulators and riboswitches...
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toolkit overviewsupports
Recent systems metabolic engineering approaches to address current limitations of metabolic engineering include genome reduction, amino acid sensors based on transcriptional regulators and riboswitches, CRISPR interference, small regulatory RNAs, DNA scaffolding, and optogenetic control.
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Comparisons
Source-stated alternatives
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
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The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Source-backed strengths
presented as a recent functional tool in systems metabolic engineering
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presented as a recent functional tool in systems metabolic engineering
Compared with CRISPR/Cas9
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Shared frame: source-stated alternative in extracted literature
Strengths here: presented as a recent functional tool in systems metabolic engineering.
Source:
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Compared with CRISPR/Cas9 system
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Shared frame: source-stated alternative in extracted literature
Strengths here: presented as a recent functional tool in systems metabolic engineering.
Source:
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Compared with CRISPR interference
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Shared frame: source-stated alternative in extracted literature
Strengths here: presented as a recent functional tool in systems metabolic engineering.
Source:
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Compared with DNA scaffolding
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Shared frame: source-stated alternative in extracted literature
Strengths here: presented as a recent functional tool in systems metabolic engineering.
Source:
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Compared with optogenetic
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Shared frame: source-stated alternative in extracted literature
Strengths here: presented as a recent functional tool in systems metabolic engineering.
Source:
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Compared with small regulatory RNAs
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Shared frame: source-stated alternative in extracted literature
Strengths here: presented as a recent functional tool in systems metabolic engineering.
Source:
The abstract contrasts them with transcriptional-regulator-based sensors and also lists CRISPR interference, small regulatory RNAs, DNA scaffolding, genome reduction, and optogenetic control.
Ranked Citations
- 1.