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Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR

[Image: see text] The use of standardized components and processes in engineering underpins the design-build-test model, and the engineering of biological systems is no different. Substantial efforts to standardize both the components and the methods to validate the engineered biological systems is...

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Autores principales: Fernandez-Gonzalez, Ana, Cowen, Simon, Kim, Juhyun, Foy, Carole A., Jimenez, Jose, Huggett, Jim F., Whale, Alexandra S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008692/
https://www.ncbi.nlm.nih.gov/pubmed/35357151
http://dx.doi.org/10.1021/acs.analchem.1c05134
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author Fernandez-Gonzalez, Ana
Cowen, Simon
Kim, Juhyun
Foy, Carole A.
Jimenez, Jose
Huggett, Jim F.
Whale, Alexandra S.
author_facet Fernandez-Gonzalez, Ana
Cowen, Simon
Kim, Juhyun
Foy, Carole A.
Jimenez, Jose
Huggett, Jim F.
Whale, Alexandra S.
author_sort Fernandez-Gonzalez, Ana
collection PubMed
description [Image: see text] The use of standardized components and processes in engineering underpins the design-build-test model, and the engineering of biological systems is no different. Substantial efforts to standardize both the components and the methods to validate the engineered biological systems is ongoing. This study has developed a panel of control materials encoding the commonly used reporter genes GFP and RFP as DNA or RNA molecules. Each panel contained up to six samples with increasingly small copy number differences between the two reporter genes that ranged from 1- to 2-fold differences. These copy number differences represent the magnitude of changes that may need to be measured to validate an engineered system. Using digital PCR (dPCR), we demonstrated that it is possible to quantify changes in both gene and gene transcript numbers both within and between samples down to 1.05-fold. We corroborated these findings using a simple gene circuit within a bacterial model to demonstrate that dPCR was able to precisely identify small changes in gene expression of two transcripts in response to promoter stimulation. Finally, we used our findings to highlight sources of error that can contributed to the measurement uncertainty in the measurement of small ratios in biological systems. Together, the development of a panel of control materials and validation of a high accuracy method for the measurement of small changes in gene expression, this study can contribute to the engineering biology “toolkit” of methods and materials to support the current standardization efforts.
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spelling pubmed-90086922022-04-14 Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR Fernandez-Gonzalez, Ana Cowen, Simon Kim, Juhyun Foy, Carole A. Jimenez, Jose Huggett, Jim F. Whale, Alexandra S. Anal Chem [Image: see text] The use of standardized components and processes in engineering underpins the design-build-test model, and the engineering of biological systems is no different. Substantial efforts to standardize both the components and the methods to validate the engineered biological systems is ongoing. This study has developed a panel of control materials encoding the commonly used reporter genes GFP and RFP as DNA or RNA molecules. Each panel contained up to six samples with increasingly small copy number differences between the two reporter genes that ranged from 1- to 2-fold differences. These copy number differences represent the magnitude of changes that may need to be measured to validate an engineered system. Using digital PCR (dPCR), we demonstrated that it is possible to quantify changes in both gene and gene transcript numbers both within and between samples down to 1.05-fold. We corroborated these findings using a simple gene circuit within a bacterial model to demonstrate that dPCR was able to precisely identify small changes in gene expression of two transcripts in response to promoter stimulation. Finally, we used our findings to highlight sources of error that can contributed to the measurement uncertainty in the measurement of small ratios in biological systems. Together, the development of a panel of control materials and validation of a high accuracy method for the measurement of small changes in gene expression, this study can contribute to the engineering biology “toolkit” of methods and materials to support the current standardization efforts. American Chemical Society 2022-03-31 2022-04-12 /pmc/articles/PMC9008692/ /pubmed/35357151 http://dx.doi.org/10.1021/acs.analchem.1c05134 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Fernandez-Gonzalez, Ana
Cowen, Simon
Kim, Juhyun
Foy, Carole A.
Jimenez, Jose
Huggett, Jim F.
Whale, Alexandra S.
Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR
title Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR
title_full Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR
title_fullStr Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR
title_full_unstemmed Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR
title_short Applicability of Control Materials To Support Gene Promoter Characterization and Expression in Engineered Cells Using Digital PCR
title_sort applicability of control materials to support gene promoter characterization and expression in engineered cells using digital pcr
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008692/
https://www.ncbi.nlm.nih.gov/pubmed/35357151
http://dx.doi.org/10.1021/acs.analchem.1c05134
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