Evidence map›Paper›PMID 23656232›Full record

ArticleACS synthetic biology2012

Genetic circuit performance under conditions relevant for industrial bioreactors.

Felix Moser, Nicolette J Broers, Sybe Hartmans, Alvin Tamsir, Richard Kerkman, Johannes A Roubos, Roel Bovenberg, Christopher A Voigt

Abstract read
In one paragraph

Article in ACS synthetic biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–field-weighted citation impact
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

49 citing papers in PubMed.

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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

8 authors.

Felix MoserSynthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Boston, MA 02139, USA.
Nicolette J Broers
Sybe Hartmans
Alvin Tamsir
Richard Kerkman
Johannes A Roubos
Roel Bovenberg
Christopher A Voigt

Funding

Characterization of Gradient-Responsive Genetic Programs Using Light SensorsR01GM095765 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI VOIGT, CHRISTOPHER A · 2011 to 2014
$1.2M
NIGMS NIH HHS GM095765NIGMS NIH HHS R01 GM095765
6 · The paper itself

Abstract

Synthetic genetic programs promise to enable novel applications in industrial processes. For such applications, the genetic circuits that compose programs will require fidelity in varying and complex environments. In this work, we report the performance of two synthetic circuits in Escherichia coli under industrially relevant conditions, including the selection of media, strain, and growth rate. We test and compare two transcriptional circuits: an AND and a NOR gate. In E. coli DH10B, the AND gate is inactive in minimal media; activity can be rescued by supplementing the media and transferring the gate into the industrial strain E. coli DS68637 where normal function is observed in minimal media. In contrast, the NOR gate is robust to media composition and functions similarly in both strains. The AND gate is evaluated at three stages of early scale-up: 100 mL shake flask experiments, a 1 mL MTP microreactor, and a 10 L bioreactor. A reference plasmid that constitutively produces a GFP reporter is used to make comparisons of circuit performance across conditions. The AND gate function is quantitatively different at each scale. The output deteriorates late in fermentation after the shift from exponential to constant feed rates, which induces rapid resource depletion and changes in growth rate. In addition, one of the output states of the AND gate failed in the bioreactor, effectively making it only responsive to a single input. Finally, cells carrying the AND gate show considerably less accumulation of biomass. Overall, these results highlight challenges and suggest modified strategies for developing and characterizing genetic circuits that function reliably during fermentation.

Indexed as

BiomassBioreactorsCulture MediaEscherichia coliEscherichia coli ProteinsFermentationGenetic EngineeringIndustrial MicrobiologyCulture MediaEscherichia coli Proteins

Identifiers

PMID23656232
PMCPMC3904225

What OpenQuestion holds

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Registered trials

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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.