Genetically encoded biosensors in microbes sense tumor-associated biomarkers and trigger corresponding responses. The abstract frames them as programmable systems for more precise tumor identification and targeting.
First-pass extracted concept
genetically encoded biosensors
Candidate: concept label10 source documents27 linked claims
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Aliases
fluorescent GEBs, GEBs
Extracted Explainers
What the tool is doing
Genetically encoded biosensors are presented as tools for detecting metabolites and proteins. The paper frames them as a class needing expansion through novel development strategies.
Genetically encoded biosensors optically report metabolic features and regulatory signaling in living tissue. The review frames them as tools for studying metabolism in neurodegeneration.
Genetically encoded biosensors are presented as tools for non-invasive monitoring of metabolic processes in living plant cells over time. The abstract emphasizes high spatial and temporal resolution and the ability to monitor multiple processes simultaneously.
Genetically encoded biosensors are described as tools with distinct specificity that can be targeted to compartments such as the chloroplast stroma for in vivo real-time measurements of physiological parameters. The review frames them as a lens for observing chloroplast redox dynamics.
Genetically encoded biosensors are presented as tools that sense plastic precursors or monomers and support synthetic biology workflows. The abstract frames them as useful both for measurement and for genetic regulation.
Resources required
Their use depends on tumor-specific chemical or environmental cues that distinguish malignant from somatic tissues. The abstract does not specify particular chassis, circuits, or assay hardware.
These tools require genetic expression of the biosensor and optical access to the tissue being measured.
The abstract indicates that users must understand the characteristics of a given sensor in the chosen experimental plant system. It also frames sensor selection for in planta use as an important practical requirement.
Use requires expression of the biosensor in living cells and targeting to the relevant subcellular compartment, such as the chloroplast stroma.
The abstract implies a host organism and genetic regulatory machinery are required, because the biosensors are genetically encoded regulatory tools. It also requires target analytes such as plastic precursors or monomers.
What problem it solves
They are presented as a way to address inadequate tumor-targeting accuracy in cancer therapy development. They do this by coupling sensing of tumor biomarkers to autonomous responses.
They address the need to detect diverse biological molecules in tailored application settings.
They address the need to monitor metabolic state non-destructively and repeatedly over time in intact tissues.
They help experimentally unravel tightly coordinated plant metabolic processes that vary across space and time. This is positioned as important for understanding traits linked to yield and stress resistance.
They solve the problem of measuring dynamic physiological and redox-related parameters in vivo and in real time at subcellular resolution.
They help address the need for high-throughput analytical methods in iterative DBTL optimization and can help align production demands with host physiological constraints.
What it does not solve
The abstract notes that important challenges remain before clinical translation. It does not specify that these biosensors alone solve all safety, delivery, or translational barriers.
The abstract states that the current biosensor inventory is still inadequate for the full range of metabolites and proteins needing detection.
The abstract does not support claims that they remove all measurement limitations, and it explicitly notes dependence on optical access.
The abstract warns that spectroscopic changes cannot be interpreted meaningfully without careful use and system-specific understanding of sensor behavior.
The abstract does not claim that biosensors alone solve the full plastic sustainability problem or specify performance limits for any individual sensor.
Alternatives
The abstract contrasts biosensor-guided targeting with less accurate tumor-targeting approaches in general, but does not name specific alternative technologies.
The abstract contrasts these biosensors with Seahorse XF, histology, and immunostaining, which are described as mostly destructive and offering limited cellular resolution.
No direct alternative technology is named in the provided abstract.
The abstract does not explicitly name alternative measurement approaches.
The abstract mentions biotechnology broadly as offering solutions, but does not name specific alternative sensing or regulatory tool classes.
Evidence Snippets
Genetically encoded biosensors enable autonomous sensing and response to tumor biomarkers, and their exceptional programmability allows for enhanced targeting accuracy.
Genetically encoded biosensors represent a cutting-edge class of biosensors due to real-time monitoring and programmability in living cell.
We discuss methods for lipid detection, including genetically encoded biosensors, synthetic lipid analogs, and metabolic labeling probes.
Emerging strategies to develop novel genetically encoded biosensors.
However, genetically encoded biosensors can optically measure metabolic features in any tissue with optical access. Biosensors represent an approach to non-destructively monitor metabolic components and regulatory signaling repeatedly over time in intact tissues.
genetically encoded biosensors (GEBs) seem ideal for this. They allow non-invasive monitoring of metabolic processes in living cells over time and with high spatial and temporal resolution.
Genetically encoded biosensors with distinct specificity can be targeted to subcellular compartments such as the chloroplast stroma, enabling in vivo real-time measurements of physiological parameters at different scales.
Genetically encoded biosensors offer a solution for both requirements to facilitate the circular plastic bioeconomy.
Photochromic switches and genetically encoded biosensors have become powerful tools for monitoring and modulating the activity of neurons and neuronal networks.
The discovery of naturally evolved fluorescent proteins and their subsequent tuning by protein engineering provided the basis for a large family of genetically encoded biosensors that report a variety of physicochemical processes occurring in living tissue.
Supporting Sources
Linked Claims
The programmability of genetically encoded biosensors allows enhanced targeting accuracy.
The reviewed biosensors are applied to cancer detection, precision therapy, and disease recording.
Genetically encoded biosensors enable autonomous sensing and response to tumor biomarkers.
Genetically encoded biosensors enable real-time monitoring and programmability in living cells.
Development of eukaryotic genetically encoded biosensors for new analytes is constrained by a shortage of signal–receptor pairs.
The review focuses on applying genetically encoded biosensors of metabolites and metabolic processes to studies of neurodegeneration.
Genetically encoded biosensors allow non-invasive monitoring of metabolic processes in living cells over time with high spatial and temporal resolution.
Quoted textsource-backed
They allow non-invasive monitoring of metabolic processes in living cells over time and with high spatial and temporal resolution.
Technological advances and the growing set of plant biosensors facilitate paraplexing and multiplexing experiments in which several processes are monitored simultaneously by GEBs.
Quoted textsource-backed
This, together with technological advances, also facilitates paraplexing and multiplexing experiments, where several processes are monitored simultaneously by GEBs.
Genetically encoded biosensors can optically measure metabolic features in tissues with optical access.
Multi-omics analysis and de novo protein design are emerging strategies that assist development of novel genetically encoded biosensors.
These emerging strategies are revealing new insights into the regulation, dynamics, and functions of lipids in cell biology.
Quoted textsource-backed
Collectively, these strategies are revealing new insights into the regulation, dynamics, and functions of lipids in cell biology.
Emerging strategies provide a promising avenue for development of novel tailored genetically encoded biosensors for various applications.
Genetically encoded biosensors must be used carefully, and meaningful interpretation requires understanding sensor characteristics in the chosen experimental plant system.
Quoted textsource-backed
Despite these advantages, GEBs need to be used carefully and users must fully understand their characteristics in the chosen experimental plant system in order to draw meaningful conclusions from the spectroscopic changes of a sensor.
The current biosensor inventory is inadequate for the multitude of metabolites and proteins needing detection.
The paper reviews emerging chemistry-biology tools for studying lipid biology, spanning detection, targeted manipulation, and lipid-protein interaction mapping.
Quoted textsource-backed
In recent years, a plethora of tools bridging the chemistry-biology interface has emerged for studying different aspects of lipid biology. Here, we provide an overview of these approaches.
The number of sensors and sensor variants developed or established in plants is continuing to grow, enabling insight into more parameters of plant metabolism.
Quoted textsource-backed
The list of sensors and sensor variants that have been developed or established in plants continues to grow, providing insights into more and more parameters of plant metabolism.
Genetically encoded biosensors, synthetic lipid analogs, and metabolic labeling probes are described as methods for lipid detection.
Quoted textsource-backed
We discuss methods for lipid detection, including genetically encoded biosensors, synthetic lipid analogs, and metabolic labeling probes.
Genetically encoded biosensors provide a non-destructive way to monitor metabolic components and regulatory signaling repeatedly over time in intact tissues.
Genetically encoded biosensors can be targeted to subcellular compartments such as the chloroplast stroma to enable in vivo real-time measurements of physiological parameters at different scales.
Quoted textsource-backed
Genetically encoded biosensors with distinct specificity can be targeted to subcellular compartments such as the chloroplast stroma, enabling in vivo real-time measurements of physiological parameters at different scales.
Data from genetically encoded biosensors have provided unique insights into dynamic behaviours of physiological parameters and redox-responsive proteins at several levels of known chloroplast redox cascades.
Quoted textsource-backed
These data have provided unique insights into dynamic behaviours of physiological parameters and redox-responsive proteins at several levels of the known redox cascades.
The source summarizes biosensors reported to respond to plastic precursors or monomers and their demonstrated or prospective applications in plastic construction and deconstruction.
Genetically encoded biosensors can facilitate the circular plastic bioeconomy by providing high-throughput analytical capability and genetic regulatory control.
The issue presents applications in molecular imaging of ions and remote activation of receptors, ion channels, and synaptic networks.
Advancements in photochromic switches and genetically encoded biosensors have greatly advanced understanding of nervous system development and function.
Photochromic switches and genetically encoded biosensors are powerful tools for monitoring and modulating the activity of neurons and neuronal networks.
Genetically encoded biosensors can report a variety of physicochemical processes occurring in living tissue.
Quoted textsource-backed
genetically encoded biosensors that report a variety of physicochemical processes occurring in living tissue
Naturally evolved fluorescent proteins and their tuning by protein engineering provided the basis for a large family of genetically encoded biosensors.
Quoted textsource-backed
The discovery of naturally evolved fluorescent proteins and their subsequent tuning by protein engineering provided the basis for a large family of genetically encoded biosensors