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Related Concept Videos

Genetic Screens02:46

Genetic Screens

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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
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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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Updated: Nov 8, 2025

Spotting Cheetahs: Identifying Individuals by Their Footprints
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Cheetah: A Computational Toolkit for Cybergenetic Control.

Elisa Pedone1,2, Irene de Cesare1, Criseida G Zamora-Chimal1,3

  • 1Department of Engineering Mathematics, University of Bristol, Ada Lovelace Building, University Walk, BS8 1TW Bristol, United Kingdom.

ACS Synthetic Biology
|April 27, 2021
PubMed
Summary
This summary is machine-generated.

Cheetah, a new computational toolkit, integrates real-time microscopy with cell control algorithms. This platform enhances cell analysis and manipulation, improving reproducibility in biological research.

Keywords:
U-Netcybergeneticsdeep learningimage analysismicroscopysynthetic biology

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Area of Science:

  • Cell biology
  • Bioengineering
  • Computational biology

Background:

  • Advanced microscopy, microfluidics, and optogenetics enable single-cell monitoring and phenotype control.
  • Developing integrated systems for real-time cell analysis and control is challenging, often leading to non-reproducible, bespoke setups.

Purpose of the Study:

  • To introduce Cheetah, a flexible computational toolkit designed to simplify the integration of real-time microscopy analysis with cellular control algorithms.
  • To provide a user-friendly platform that enhances reproducibility and accessibility of cell control engineering techniques.

Main Methods:

  • Development of Cheetah, a computational toolkit featuring a U-Net convolutional neural network for image segmentation.
  • Integration of robust cell counting, characterization, and time-lapse control functionalities.
  • Demonstration using long-term bacterial and mammalian cell growth analysis and dynamic protein expression control in mammalian cells.

Main Results:

  • Cheetah's image segmentation accuracy surpasses traditional thresholding methods.
  • The platform enables robust analysis of cell growth and dynamic control of cellular processes.
  • Successful application in both bacterial and mammalian cell systems.

Conclusions:

  • Cheetah offers a flexible and accessible solution for integrating real-time microscopy with cellular control.
  • The toolkit improves the accuracy and reproducibility of cell phenotype manipulation and analysis.
  • Cheetah facilitates advanced research in probing and manipulating living cells.