Evidence map›Paper›PMID 31797936›Full record

ArticleNature communications2019

Dynamic and tunable metabolite control for robust minimal-equipment assessment of serum zinc.

Monica P McNerney, Cirstyn L Michel, Krishi Kishore, Janet Standeven, Mark P Styczynski

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Microbes Saving Lives and Reducing Suffering.Microbial biotechnology · 2025
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. HarnessingACS synthetic biology · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Metabolic Dynamics inACS synthetic biology · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Monica P McNerneySchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, 30332, USA.ORCID http://orcid.org/0000-0001-7485-9211
Cirstyn L MichelSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, 30332, USA.
Krishi KishoreLambert High School, 805 Nichols Rd, Suwanee, GA, 30024, USA.ORCID http://orcid.org/0000-0002-1148-9273
Janet StandevenLambert High School, 805 Nichols Rd, Suwanee, GA, 30024, USA.ORCID http://orcid.org/0000-0003-1256-5298
Mark P StyczynskiSchool of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, 30332, USA. mark.styczynski@chbe.gatech.edu.ORCID http://orcid.org/0000-0002-1479-6658

Funding

Modeling metabolic dynamics and regulation in biological systemsR35GM119701 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2016 to 2020
$1.6M
Synthetic biology-based detection of micronutrients with minimal equipmentR01EB022592 · NIBIB · GEORGIA INSTITUTE OF TECHNOLOGY · PI STYCZYNSKI, MARK PHILIP-WALTER · 2017 to 2020
$1.4M
NIBIB NIH HHS R01 EB022592NIGMS NIH HHS R35 GM119701
6 · The paper itself

Abstract

Bacterial biosensors can enable programmable, selective chemical production, but difficulties incorporating metabolic pathways into complex sensor circuits have limited their development and applications. Here we overcome these challenges and present the development of fast-responding, tunable sensor cells that produce different pigmented metabolites based on extracellular concentrations of zinc (a critical micronutrient). We create a library of dual-input synthetic promoters that decouple cell growth from zinc-specific metabolite production, enabling visible cell coloration within 4 h. Using additional transcriptional and metabolic control methods, we shift the response thresholds by an order of magnitude to measure clinically relevant zinc concentrations. The resulting sensor cells report zinc concentrations in individual donor serum samples; we demonstrate that they can provide results in a minimal-equipment fashion, serving as the basis for a field-deployable assay for zinc deficiency. The presented advances are likely generalizable to the creation of other types of sensors and diagnostics.

Indexed as

Metabolic Networks and PathwaysBiosensing TechniquesDNA-Binding ProteinsEscherichia coliEscherichia coli ProteinsGreen Fluorescent ProteinsMutationSpectrometry, FluorescenceZincDNA-Binding ProteinsEscherichia coli ProteinsGreen Fluorescent ProteinsZincZur protein, E coli

Identifiers

PMID31797936
PMCPMC6892929

What OpenQuestion holds

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LicenceCC BY
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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.