Literature DB >> 33915105

A synthetic RNA-based biosensor for fructose-1,6-bisphosphate that reports glycolytic flux.

Alvaro Darío Ortega1, Vakil Takhaveev2, Silke Roelie Vedelaar2, Yi Long3, Neus Mestre-Farràs2, Danny Incarnato4, Franziska Ersoy5, Lars Folke Olsen6, Günter Mayer7, Matthias Heinemann8.   

Abstract

RNA-based sensors for intracellular metabolites are a promising solution to the emerging issue of metabolic heterogeneity. However, their development, i.e., the conversion of an aptamer into an in vivo-functional intracellular metabolite sensor, still harbors challenges. Here, we accomplished this for the glycolytic flux-signaling metabolite, fructose-1,6-bisphosphate (FBP). Starting from in vitro selection of an aptamer, we constructed device libraries with a hammerhead ribozyme as actuator. Using high-throughput screening in yeast with fluorescence-activated cell sorting (FACS), next-generation sequencing, and genetic-environmental perturbations to modulate the intracellular FBP levels, we identified a sensor that generates ratiometric fluorescent readout. An abrogated response in sensor mutants and occurrence of two sensor conformations-revealed by RNA structural probing-indicated in vivo riboswitching activity. Microscopy showed that the sensor can differentiate cells with different glycolytic fluxes within yeast populations, opening research avenues into metabolic heterogeneity. We demonstrate the possibility to generate RNA-based sensors for intracellular metabolites for which no natural metabolite-binding RNA element exits.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  RNA; aptamer; biosensor; fructose-1,6-bisphosphate; glycolysis; metabolic heterogeneity; ribozyme; screening

Mesh:

Substances:

Year:  2021        PMID: 33915105     DOI: 10.1016/j.chembiol.2021.04.006

Source DB:  PubMed          Journal:  Cell Chem Biol        ISSN: 2451-9448            Impact factor:   8.116


  6 in total

1.  On the design principles of metabolic flux sensing.

Authors:  Christian Euler; Radhakrishnan Mahadevan
Journal:  Biophys J       Date:  2021-12-22       Impact factor: 4.033

Review 2.  Integrative metabolic flux analysis reveals an indispensable dimension of phenotypes.

Authors:  Richard C Law; Aliya Lakhani; Samantha O'Keeffe; Sevcan Erşan; Junyoung O Park
Journal:  Curr Opin Biotechnol       Date:  2022-03-09       Impact factor: 10.279

Review 3.  Organelle transporters and inter-organelle communication as drivers of metabolic regulation and cellular homeostasis.

Authors:  Aakriti Jain; Roberto Zoncu
Journal:  Mol Metab       Date:  2022-03-25       Impact factor: 8.568

4.  Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection.

Authors:  Andrea Di Gioacchino; Jonah Procyk; Marco Molari; John S Schreck; Yu Zhou; Yan Liu; Rémi Monasson; Simona Cocco; Petr Šulc
Journal:  PLoS Comput Biol       Date:  2022-09-29       Impact factor: 4.779

5.  Identification of acetic acid sensitive strains through biosensor-based screening of a Saccharomyces cerevisiae CRISPRi library.

Authors:  Maurizio Mormino; Ibai Lenitz; Verena Siewers; Yvonne Nygård
Journal:  Microb Cell Fact       Date:  2022-10-15       Impact factor: 6.352

6.  Real-Time Monitoring of the Yeast Intracellular State During Bioprocesses With a Toolbox of Biosensors.

Authors:  Luca Torello Pianale; Peter Rugbjerg; Lisbeth Olsson
Journal:  Front Microbiol       Date:  2022-01-07       Impact factor: 5.640

  6 in total

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