Source 1primary paper2016PLoS ONE
Toolkit/microfluidic single-cell analysis
microfluidic single-cell analysis
Also known as: comparative microfluidic single-cell analyses
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Microfluidic single-cell analysis is an assay method used during microfluidic cultivation to quantify growth behavior and expression phenotypes at single-cell resolution. In the cited 2016 E. coli study, it was applied comparatively across PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems to reveal dynamic and spatiotemporal heterogeneity in recombinant protein production.
Usefulness & Problems
Why this is useful
This method is useful for resolving population heterogeneities that are not accessible from bulk measurements, specifically by tracking single-cell growth and expression phenotypes during cultivation. The cited study positions it as a method of choice for dynamic and spatiotemporal investigation of recombinant protein production heterogeneity in E. coli.
Problem solved
It addresses the problem of characterizing how individual cells within a recombinant expression culture differ in growth behavior and protein expression over space and time. The supplied evidence specifically supports its use for comparative analysis of PT7lac/LacI, PBAD/AraC, and Pm/XylS systems in synthetic M9CA medium.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Mechanisms
comparative analysis of growth behavior and expression phenotypessingle-cell phenotypic measurement during microfluidic cultivationspatiotemporal resolution of population heterogeneityTechniques
Functional AssayTarget processes
No target processes tagged yet.
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The documented implementation involved microfluidic cultivation of E. coli in synthetic M9CA medium with analysis of PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems. Beyond this comparative cultivation context, the evidence does not specify device architecture, imaging modality, reporter design, or data-processing workflow.
The supplied evidence is limited to a single cited study in E. coli and does not report broader organismal scope, throughput, sensitivity, or benchmarking against alternative single-cell methods. No specific performance metrics, hardware details, or independent replication are provided in the evidence.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Approval Evidence
1 source2 linked approval claimsfirst-pass slug microfluidic-single-cell-analysis
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Source:
comparative analysis scopesupports
PT7lac/LacI, PBAD/AraC, and Pm/XylS expression systems were systematically analyzed to compare growth behavior and expression phenotypes at the single-cell level in synthetic M9CA medium.
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
Source:
method rolesupports
Microfluidic single-cell analysis is used to investigate and reveal population heterogeneities in recombinant protein production in a dynamic and spatiotemporal fashion.
Here, microfluidic single-cell analysis serves as the method of choice to investigate and unmask population heterogeneities in a dynamic and spatiotemporal fashion.
Source:
Comparisons
Source-backed strengths
The method provides single-cell resolution together with dynamic and spatiotemporal readout of population behavior during microfluidic cultivation. In the cited application, it enabled systematic comparison of multiple E. coli expression systems and unmasked heterogeneities in recombinant protein production.
Source:
In this study, we report on comparative microfluidic single-cell analyses of commonly used E. coli expression systems to uncover system-inherent specifications in the synthetic M9CA growth medium. To this end, the PT7lac/LacI, the PBAD/AraC and the Pm/XylS system were systematically analyzed in order to gain detailed insights into variations of growth behavior and expression phenotypes
Compared with Langendorff perfused heart electrical recordings
microfluidic single-cell analysis and Langendorff perfused heart electrical recordings address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
Compared with native green gel system
microfluidic single-cell analysis and native green gel system address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
microfluidic single-cell analysis and sub-picosecond pump-probe analysis of bacteriorhodopsin pigments address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
Ranked Citations
- 1.