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Dynamic and tunable metabolite control for robust minimal-equipment assessment of serum zinc.
McNerney, Monica P; Michel, Cirstyn L; Kishore, Krishi; Standeven, Janet; Styczynski, Mark P.
Afiliação
  • McNerney MP; School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, 30332, USA.
  • Michel CL; School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, 30332, USA.
  • Kishore K; Lambert High School, 805 Nichols Rd, Suwanee, GA, 30024, USA.
  • Standeven J; Lambert High School, 805 Nichols Rd, Suwanee, GA, 30024, USA.
  • Styczynski MP; School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive NW, Atlanta, GA, 30332, USA. mark.styczynski@chbe.gatech.edu.
Nat Commun ; 10(1): 5514, 2019 12 04.
Article em En | MEDLINE | ID: mdl-31797936
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Zinco / Técnicas Biossensoriais / Escherichia coli / Redes e Vias Metabólicas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Zinco / Técnicas Biossensoriais / Escherichia coli / Redes e Vias Metabólicas Idioma: En Ano de publicação: 2019 Tipo de documento: Article