This source describes genetically encoded fluorescent biosensors as tools for live monitoring of metabolites in vivo across multiple biological scales.
First-pass extracted concept
genetically encoded fluorescent biosensors
Candidate: concept label8 source documents22 linked claims
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Extracted Explainers
What the tool is doing
These biosensors are described as genetically encoded fluorescent tools that capture anions in action with microscopy across time and space.
These biosensors provide direct fluorescent readouts of energetic, metabolic, and signaling molecules in living plants. The abstract states that they operate across scales from fast subcellular dynamics to organismal patterns.
These biosensors are described as tools for capturing complex molecular signaling events and dissecting signaling mechanisms with high resolution. The review emphasizes their use for imaging spatiotemporal signaling dynamics.
These sensors enable specific, sensitive, and spatiotemporally resolved monitoring of glucose metabolism in living cells and in vivo. The review frames them as tools for tracking glycolytic intermediates, flux, and metabolite abundance.
Resources required
The abstract supports that these are genetically encoded fluorescent biosensing tools, but does not provide further implementation details.
The abstract explicitly indicates microscopy is used to observe the biosensor signals.
The abstract indicates that successful use depends on biosensor engineering, deployment, imaging, and analysis. It also implies genetically encoded expression in living plants.
Use requires genetically encoded fluorescent sensor systems deployed in living cells or in vivo. The abstract does not specify particular fluorophores, delivery methods, or imaging hardware.
What problem it solves
They help bridge major gaps in understanding dynamic in vivo energy metabolism that is difficult to capture with classic biochemistry alone.
They help reveal dynamic anion biology at organismal, cellular, and subcellular scales.
They address the limitation of spatial omics approaches being restricted to snapshots by enabling direct measurements in living plants over space and time.
They address the need for tools that can monitor the dynamic nature of intracellular signaling. The abstract frames them as enabling more precise observation of pathway activity in living systems.
They address the need for living-cell metabolic monitoring technology with high spatiotemporal resolution to study subcellular distribution, transport, and functions of glycolytic metabolites.
What it does not solve
The abstract does not claim that current tools fully capture the full complexity of energy metabolism across enzymes to organs.
The abstract does not claim that biosensors replace omics approaches, only that they complement them. It also notes common pitfalls in engineering, deployment, imaging, and analysis.
The abstract notes that challenges remain in developing high-quality biosensors, but does not specify which technical limitations are unresolved.
Alternatives
The abstract contrasts these biosensors with classic biochemistry as an older conceptual framework for energy and matter fluxes.
The abstract explicitly contrasts these biosensors with spatial omics approaches. It presents biosensors as complementary rather than exclusive alternatives.
No direct alternative monitoring technologies are explicitly named in the abstract.
Evidence Snippets
Genetically encoded fluorescent biosensors have started to bridge several critical gaps by enabling live monitoring of metabolites across scales.
Genetically encoded fluorescent biosensors can capture anions in action across time and space dimensions with microscopy.
While genetically encoded fluorescent biosensors have emerged as powerful tools for studying kinase activity, their development for many kinases remains challenging due to the lack of suitable substrate peptides.
Direct, genetically encoded fluorescent biosensors complement the omics approaches, giving researchers tools to assess energetic, metabolic, and signaling molecules at multiple scales, from fast subcellular dynamics to organismal patterns in living plants.
Recent advances in genetically encoded biosensor engineering are revolutionizing our ability to dissect the molecular mechanisms regulating signaling activities with unprecedented resolution.
Genetically encoded fluorescent biosensors now enable real-time, single-cell imaging of dynamic metabolic processes in the liver.
Genetically encoded fluorescent sensors can achieve specific, sensitive, and spatiotemporally resolved metabolic monitoring in living cells and in vivo
Genetically encoded fluorescent biosensors have revolutionized the study of cell signaling and metabolism, as they allow for live-cell measurements with high spatiotemporal resolution.
Supporting Sources
Linked Claims
Genetically encoded fluorescent biosensors enable live monitoring of metabolites across scales.
Expansion of biosensing tools has driven shifts in several paradigms of energy metabolism.
Current understanding of how energy metabolism works in vivo contains major gaps.
Fluorescent biosensors can provide insights into metabolic reprogramming in chronic obesity, MASLD, and hepatocellular carcinoma.
Quoted textsource-backed
These tools provide insights into the metabolic reprogramming in conditions such as chronic obesity, metabolic dysfunction-associated steatotic liver disease (MASLD), and hepatocellular carcinoma (HCC).
Recent biosensor imaging applications yielded breakthrough insights into the spatiotemporal dynamics of GPCR signaling and cell cycle regulation.
Quoted textsource-backed
Here, we present a timely update on novel biosensor designs and highlight recent applications where biosensor imaging yielded breakthrough insights into the spatiotemporal dynamics of GPCR signaling and cell cycle regulation.
Direct genetically encoded fluorescent biosensors provide tools to assess energetic, metabolic, and signaling molecules in living plants across scales from fast subcellular dynamics to organismal patterns.
Genetically encoded fluorescent biosensors can capture anions across time and space using microscopy.
Quoted textsource-backed
Genetically encoded fluorescent biosensors can capture anions in action across time and space dimensions with microscopy.
Genetically encoded fluorescent biosensors enable real-time single-cell imaging of dynamic metabolic processes in the liver.
Quoted textsource-backed
Genetically encoded fluorescent biosensors now enable real-time, single-cell imaging of dynamic metabolic processes in the liver.
Recent advances in genetically encoded biosensor engineering are improving the ability to dissect molecular mechanisms regulating signaling activities with unprecedented resolution.
Quoted textsource-backed
Recent advances in genetically encoded biosensor engineering are revolutionizing our ability to dissect the molecular mechanisms regulating signaling activities with unprecedented resolution.
Direct genetically encoded fluorescent biosensors complement spatial omics approaches in plant biology.
Innovative technologies are advancing biological and technical developments that may synergize biosensor research with other approaches and expand in vivo quantitative biology.
The first genetically encoded fluorescent biosensor technologies for anions were reported more than 20 years ago for chloride and cAMP.
Quoted textsource-backed
The firsts of such technologies were reported more than 20 years for monoatomic chloride and polyatomic cAMP anions.
By tracking specific metabolites involved in glycolysis, lipid oxidation, and the TCA cycle, fluorescent biosensors can reveal how these pathways respond to diverse stimuli.
Quoted textsource-backed
By tracking specific metabolites involved in glycolysis, lipid oxidation, and the tricarboxylic acid (TCA) cycle, biosensors can reveal how these pathways respond to diverse stimuli.
Biosensor engineering, deployment, imaging, and analysis are affected by core principles and common pitfalls.
This review covers recent progress in genetically encoded fluorescent biosensors for biologically relevant anions classified as halides, oxyanions, carboxylates, and nucleotides.
Quoted textsource-backed
In this review, we will canvas progress made over the last three years for biologically relevant anions that are classified as halides, oxyanions, carboxylates, and nucleotides.
Genetically encoded fluorescent biosensors allow live-cell measurements with high spatiotemporal resolution.
Genetically encoded fluorescent sensors can provide specific, sensitive, and spatiotemporally resolved metabolic monitoring in living cells and in vivo.
Quoted textsource-backed
Genetically encoded fluorescent sensors can achieve specific, sensitive, and spatiotemporally resolved metabolic monitoring in living cells and in vivo
The success of genetically encoded fluorescent biosensors has spurred the development of tailor-made biosensors for studying dynamic phenomena across different timescales and length scales.
Dozens of glucose metabolite sensors have been developed recently.
Quoted textsource-backed
dozens of glucose metabolite sensors have been developed recently
Genetically encoded fluorescent biosensors have revolutionized the study of cell signaling and metabolism.
A living-cell metabolic monitoring technology with high spatiotemporal resolution is needed to address unresolved questions about the subcellular distribution, transport, and functions of glycolytic metabolites.
Quoted textsource-backed
To address these issues, a living cell metabolic monitoring technology with high spatiotemporal resolution is needed.
Genetically encoded fluorescent biosensors are useful for tracking specific intermediate metabolites of glycolysis, measuring glycolytic flux, monitoring spatiotemporal dynamics, and quantifying metabolite abundance.
Quoted textsource-backed
we highlight the importance of tracking specific intermediate metabolites of glycolysis and glycolytic flux measurements, monitoring the spatiotemporal dynamics, and quantifying metabolite abundance