Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy.


Journal

Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252

Informations de publication

Date de publication:
27 04 2021
Historique:
entrez: 17 5 2021
pubmed: 18 5 2021
medline: 23 6 2021
Statut: epublish

Résumé

The protocol developed here offers a tool to enable computer tracking of Escherichia coli division and fluorescent levels over several hours. The process starts by screening for colonies that survive on minimal media, assuming that only Escherichia coli harboring the correct plasmid will be able to thrive in the specific conditions. Since the process of building large genetic circuits, requiring the assembly of many DNA parts, is challenging, circuit components are often distributed between multiple plasmids at different copy numbers requiring the use of several antibiotics. Mutations in the plasmid can destroy transcription of the antibiotic resistance genes and interject with resources management in the cell leading to necrosis. The selected colony is set on a glass-bottom Petri dish and a few focus planes are selected for microscopy tracking in both bright field and fluorescent domains. The protocol maintains the image focus for more than 12 hours under initial conditions that cannot be regulated, creating a few difficulties. For example, dead cells start to accumulate in the lenses' field of focus after a few hours of imaging, which causes toxins to buildup and the signal to blur and decay. Depletion of nutrients introduces new metabolic processes and hinder the desired response of the circuit. The experiment's temperature lowers the effectivity of inducers and antibiotics, which can further damage the reliability of the signal. The minimal media gel shrinks and dries, and as a result the optical focus changes over time. We developed this method to overcome these challenges in Escherichia coli, similar to previous works developing analogous methods for other micro-organisms. In addition, this method offers an algorithm to quantify the total stochastic noise in unaltered and altered cells, finding that the results are consistent with flow analyzer predictions as shown by a similar coefficient of variation (CV).

Identifiants

pubmed: 33999027
doi: 10.3791/61290
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Video-Audio Media

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Einel A Chaimovitz (EA)

Department of Biomedical Engineering, Technion - Israel Institute of Technology.

Evgeniy Reznik (E)

Department of Biomedical Engineering, Technion - Israel Institute of Technology.

Mouna Habib (M)

Department of Biomedical Engineering, Technion - Israel Institute of Technology.

Netanel Korin (N)

Department of Biomedical Engineering, Technion - Israel Institute of Technology; korin@bm.technion.ac.il.

Ramez Daniel (R)

Department of Biomedical Engineering, Technion - Israel Institute of Technology; ramizda@bm.technion.ac.il.

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Classifications MeSH