Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Epistasis Analysis01:09

Epistasis Analysis

5.5K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.5K
Genetic Screens02:46

Genetic Screens

5.3K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reclone: a global research community building equitable access to reagents.

Nature methods·2026
Same author

International multisite implementation of distributed cell-free protein biomanufacturing to advance health and research equity.

Science advances·2026
Same author

Elucidating the ancestral role of Class I HD-Zip transcription factors in land plants.

Plant physiology·2026
Same author

A Framework for a Standard-Enabled FAIR Data Management Workflow for Synthetic Biology.

ACS synthetic biology·2026
Same author

Novel Type IIS-Based Library Assembly Technique for Developing Nanobodies Targeting IPNv VP2 Protein.

International journal of molecular sciences·2025
Same author

In Vivo DNA Assembly in <i>Yarrowia lipolytica</i>.

ACS synthetic biology·2025
Same journal

A Framework for the In Vivo Production of Extensively Engineered Thiopeptides.

ACS synthetic biology·2026
Same journal

A Highly Stringent Split Intein-Mediated DHFR Selectable Marker Enables Efficient Development of High-Producing CHO Cells for Therapeutic Proteins.

ACS synthetic biology·2026
Same journal

Breaking the Stability-Activity-Selectivity Trilemma in Unspecific Peroxygenase through Computation-Based Cross-Regional Combinatorial Mutagenesis.

ACS synthetic biology·2026
Same journal

Sequential Plasmid Curing and Genome Editing in <i>Escherichia coli</i> Nissle 1917.

ACS synthetic biology·2026
Same journal

An Explainable Deep Learning Framework Integrating DNA Sequence and Transcription Initiation Signals for Gene Expression Prediction.

ACS synthetic biology·2026
Same journal

A Multitask Prediction Framework for CircRNAs, Drugs, and Diseases Based on Multi-View Information Integration and Graph Contrastive Learning.

ACS synthetic biology·2026
See all related articles

Related Experiment Video

Updated: Nov 23, 2025

Rapid Development of Cell State Identification Circuits with Poly-Transfection
09:21

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

1.8K

Flapjack: Data Management and Analysis for Genetic Circuit Characterization.

Guillermo Yáñez Feliú1, Benjamín Earle Gómez2, Verner Codoceo Berrocal2

  • 1Department of Chemical and Bioprocess Engineering, School of Engineering, Pontificia Universidad Católica de Chile, Santiago 7820244, Chile.

ACS Synthetic Biology
|December 31, 2020
PubMed
Summary
This summary is machine-generated.

A new web-based system facilitates the characterization of synthetic genetic circuits. This tool aids in managing and analyzing large datasets, closing the loop in the design, build, test, learn cycle for synthetic biology.

Keywords:
SBOLcharacterizationdata managementsynthetic biologysystems biologyweb application

More Related Videos

Rapid Characterization of Genetic Parts with Cell-Free Systems
05:00

Rapid Characterization of Genetic Parts with Cell-Free Systems

Published on: August 30, 2021

2.1K
Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells
09:20

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells

Published on: July 6, 2021

2.6K

Related Experiment Videos

Last Updated: Nov 23, 2025

Rapid Development of Cell State Identification Circuits with Poly-Transfection
09:21

Rapid Development of Cell State Identification Circuits with Poly-Transfection

Published on: February 24, 2023

1.8K
Rapid Characterization of Genetic Parts with Cell-Free Systems
05:00

Rapid Characterization of Genetic Parts with Cell-Free Systems

Published on: August 30, 2021

2.1K
Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells
09:20

Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells

Published on: July 6, 2021

2.6K

Area of Science:

  • Synthetic Biology
  • Genetic Engineering
  • Computational Biology

Background:

  • The design, build, test, learn (DBTL) cycle is crucial for engineering synthetic genetic circuits.
  • Accurate component characterization is essential for predicting circuit behavior across various contexts.
  • Managing large volumes of measurement data and metadata is a significant challenge in synthetic biology.

Purpose of the Study:

  • To develop a system for storing, organizing, sharing, and analyzing large-scale measurement and metadata for synthetic genetic circuits.
  • To facilitate the parametrization of component models and prediction of novel circuit behaviors.
  • To effectively link the 'test' phase to the 'build' and 'learn' phases of the DBTL cycle.

Main Methods:

  • Implementation of a web application with a backend data registry and analysis engine.
  • Development of an interactive frontend with querying, plotting, and analysis tools.
  • Integration with external software via a REST API and Python package, using SBOL for part composition association.

Main Results:

  • A functional system for comprehensive characterization of genetic components and circuits.
  • Demonstration of the tool's capability in characterizing diverse genetic elements based on composition and context.
  • Successful association of all measurements with circuit part composition via SBOL.

Conclusions:

  • The developed system effectively addresses the need for robust data management and analysis in synthetic genetic circuit engineering.
  • This tool streamlines the DBTL cycle by providing essential capabilities for data handling and model parametrization.
  • The system enhances the integration of experimental data with computational modeling, advancing the field of synthetic biology.