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Real-Time Assessment of Intracellular Metabolites in Single Cells through RNA-Based Sensors

dc.contributor.authorOrtega Moreno, Álvaro Darío
dc.date.accessioned2024-04-22T15:04:10Z
dc.date.available2024-04-22T15:04:10Z
dc.date.issued2023-04-28
dc.description2023 Descuento MDPI
dc.description.abstractQuantification of the concentration of particular cellular metabolites reports on the actual utilization of metabolic pathways in physiological and pathological conditions. Metabolite concentration also constitutes the readout for screening cell factories in metabolic engineering. However, there are no direct approaches that allow for real-time assessment of the levels of intracellular metabolites in single cells. In recent years, the modular architecture of natural bacterial RNA riboswitches has inspired the design of genetically encoded synthetic RNA devices that convert the intracellular concentration of a metabolite into a quantitative fluorescent signal. These so-called RNA-based sensors are composed of a metabolite-binding RNA aptamer as the sensor domain, connected through an actuator segment to a signal-generating reporter domain. However, at present, the variety of available RNA-based sensors for intracellular metabolites is still very limited. Here, we go through natural mechanisms for metabolite sensing and regulation in cells across all kingdoms, focusing on those mediated by riboswitches. We review the design principles underlying currently developed RNA-based sensors and discuss the challenges that hindered the development of novel sensors and recent strategies to address them. We finish by introducing the current and potential applicability of synthetic RNA-based sensors for intracellular metabolites.
dc.description.departmentDepto. de Biología Celular
dc.description.facultyFac. de Ciencias Biológicas
dc.description.fundingtypeDescuento UCM
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades (MICIU)
dc.description.statuspub
dc.identifier.doi10.3390/biom13050765
dc.identifier.issn2218-273X
dc.identifier.officialurlhttps://doi.org/10.3390/biom13050765
dc.identifier.urihttps://hdl.handle.net/20.500.14352/103335
dc.issue.number5
dc.journal.titleBiomolecules
dc.language.isoeng
dc.page.initial765
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096364-B-I00/ES/REGULACION POR RNA EN LA ADAPTACION DE LISTERIA AL FRIO/
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu576
dc.subject.cdu577.21
dc.subject.keywordbiosensor
dc.subject.keywordRNA-based sensor
dc.subject.keywordaptamer
dc.subject.keywordmetabolism
dc.subject.keywordmetabolite
dc.subject.keywordfructose-1,6-bisphosphate
dc.subject.keywordmetabolic flux
dc.subject.keywordribozyme
dc.subject.keywordriboswitch
dc.subject.keywordspinach
dc.subject.ucmBiología celular (Biología)
dc.subject.unesco2407 Biología Celular
dc.titleReal-Time Assessment of Intracellular Metabolites in Single Cells through RNA-Based Sensors
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number13
dspace.entity.typePublication
relation.isAuthorOfPublicationb59dd1bd-9df2-4e06-ad6b-668eac2fa2fc
relation.isAuthorOfPublication.latestForDiscoveryb59dd1bd-9df2-4e06-ad6b-668eac2fa2fc

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