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In vivo generation of DNA sequence diversity for cellular barcoding

Heterogeneity is a ubiquitous feature of biological systems. A complete understanding of such systems requires a method for uniquely identifying and tracking individual components and their interactions with each other. We have developed a novel method of uniquely tagging individual cells in vivo wi...

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Autores principales: Peikon, Ian D., Gizatullina, Diana I., Zador, Anthony M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176322/
https://www.ncbi.nlm.nih.gov/pubmed/25013177
http://dx.doi.org/10.1093/nar/gku604
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author Peikon, Ian D.
Gizatullina, Diana I.
Zador, Anthony M.
author_facet Peikon, Ian D.
Gizatullina, Diana I.
Zador, Anthony M.
author_sort Peikon, Ian D.
collection PubMed
description Heterogeneity is a ubiquitous feature of biological systems. A complete understanding of such systems requires a method for uniquely identifying and tracking individual components and their interactions with each other. We have developed a novel method of uniquely tagging individual cells in vivo with a genetic ‘barcode’ that can be recovered by DNA sequencing. Our method is a two-component system comprised of a genetic barcode cassette whose fragments are shuffled by Rci, a site-specific DNA invertase. The system is highly scalable, with the potential to generate theoretical diversities in the billions. We demonstrate the feasibility of this technique in Escherichia coli. Currently, this method could be employed to track the dynamics of populations of microbes through various bottlenecks. Advances of this method should prove useful in tracking interactions of cells within a network, and/or heterogeneity within complex biological samples.
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spelling pubmed-41763222014-12-01 In vivo generation of DNA sequence diversity for cellular barcoding Peikon, Ian D. Gizatullina, Diana I. Zador, Anthony M. Nucleic Acids Res Methods Online Heterogeneity is a ubiquitous feature of biological systems. A complete understanding of such systems requires a method for uniquely identifying and tracking individual components and their interactions with each other. We have developed a novel method of uniquely tagging individual cells in vivo with a genetic ‘barcode’ that can be recovered by DNA sequencing. Our method is a two-component system comprised of a genetic barcode cassette whose fragments are shuffled by Rci, a site-specific DNA invertase. The system is highly scalable, with the potential to generate theoretical diversities in the billions. We demonstrate the feasibility of this technique in Escherichia coli. Currently, this method could be employed to track the dynamics of populations of microbes through various bottlenecks. Advances of this method should prove useful in tracking interactions of cells within a network, and/or heterogeneity within complex biological samples. Oxford University Press 2014-09-15 2014-07-10 /pmc/articles/PMC4176322/ /pubmed/25013177 http://dx.doi.org/10.1093/nar/gku604 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Peikon, Ian D.
Gizatullina, Diana I.
Zador, Anthony M.
In vivo generation of DNA sequence diversity for cellular barcoding
title In vivo generation of DNA sequence diversity for cellular barcoding
title_full In vivo generation of DNA sequence diversity for cellular barcoding
title_fullStr In vivo generation of DNA sequence diversity for cellular barcoding
title_full_unstemmed In vivo generation of DNA sequence diversity for cellular barcoding
title_short In vivo generation of DNA sequence diversity for cellular barcoding
title_sort in vivo generation of dna sequence diversity for cellular barcoding
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4176322/
https://www.ncbi.nlm.nih.gov/pubmed/25013177
http://dx.doi.org/10.1093/nar/gku604
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