Evidence map›Paper›PMID 35357151›Full record

ArticleAnalytical chemistry2022

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

Ana Fernandez-Gonzalez, Simon Cowen, Juhyun Kim, Carole A Foy, Jose Jimenez, Jim F Huggett, Alexandra S Whale

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Ana Fernandez-GonzalezMolecular and Cell Biology Team, National Measurement Laboratory, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.
Simon CowenStatistics Team, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.
Juhyun KimSchool of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu 41566, Republic of Korea.
Carole A FoyMolecular and Cell Biology Team, National Measurement Laboratory, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.
Jose JimenezDepartment of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, SW7 2AZ, United Kingdom.
Jim F HuggettMolecular and Cell Biology Team, National Measurement Laboratory, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.
Alexandra S WhaleMolecular and Cell Biology Team, National Measurement Laboratory, LGC, Teddington, Middlesex, TW11 0LY, United Kingdom.ORCID 0000-0002-6240-6642
National Physical Laboratory · GBImperial College London · GBKyungpook National University · KR

Funding

Biotechnology and Biological Sciences Research Council BB/M009769/1Biotechnology and Biological Sciences Research Council BB/T011289/1
6 · The paper itself

Abstract

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.

Indexed as

Polymerase Chain ReactionGenes, ReporterPromoter Regions, Genetic

Identifiers

PMID35357151
PMCPMC9008692
OpenAlexW4220718865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.