Dataset Information

A general method for the development of multicolor biosensors with large dynamic ranges.

ABSTRACT: Fluorescent biosensors enable the study of cell physiology with spatiotemporal resolution; yet, most biosensors suffer from relatively low dynamic ranges. Here, we introduce a family of designed Förster resonance energy transfer (FRET) pairs with near-quantitative FRET efficiencies based on the reversible interaction of fluorescent proteins with a fluorescently labeled HaloTag. These FRET pairs enabled the straightforward design of biosensors for calcium, ATP and NAD⁺ with unprecedented dynamic ranges. The color of each of these biosensors can be readily tuned by changing either the fluorescent protein or the synthetic fluorophore, which enables simultaneous monitoring of free NAD⁺ in different subcellular compartments following genotoxic stress. Minimal modifications of these biosensors furthermore allow their readout to be switched to fluorescence intensity, fluorescence lifetime or bioluminescence. These FRET pairs thus establish a new concept for the development of highly sensitive and tunable biosensors.

SUBMITTER: Hellweg L

PROVIDER: S-EPMC10449634 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A general method for the development of multicolor biosensors with large dynamic ranges.

Hellweg Lars L Edenhofer Anna A Barck Lucas L Huppertz Magnus-Carsten MC Frei Michelle S MS Tarnawski Miroslaw M Bergner Andrea A Koch Birgit B Johnsson Kai K Hiblot Julien J

Nature chemical biology 20230608 9

Fluorescent biosensors enable the study of cell physiology with spatiotemporal resolution; yet, most biosensors suffer from relatively low dynamic ranges. Here, we introduce a family of designed Förster resonance energy transfer (FRET) pairs with near-quantitative FRET efficiencies based on the reversible interaction of fluorescent proteins with a fluorescently labeled HaloTag. These FRET pairs enabled the straightforward design of biosensors for calcium, ATP and NAD<sup>+</sup> with unprecedent ...[more]

PMID: 37291200

Similar Datasets

Project description:Hazards such as pathogenic bacteria, mycotoxins, pesticides, antibiotics, heavy metal ions, etc., cause serious food safety problems worldwide due to their toxicity and frequent contamination. Rapid screening is an effective way for food safety control, which highly relies on the development of sensitive, specific, and convenient detection methods. The multicolor colorimetric biosensors based on gold nanomaterials have evolved into advanced tools for detecting various hazards in food, with intuitive readout. The excellent localized surface plasmon resonance (LSPR) properties of gold nanomaterials enable them to exhibit bright colors when used as chromophores. In addition, the small changes in the morphology of gold nanomaterials can lead to significant changes in the wavelength of the LSPR peak, resulting in vivid color changes. Since the color discrimination ability of the normal human eye is usually superior to the intensity change ability, the way in which different concentrations of targets represent vivid color changes makes it feasible to fabricate sensors with improved accuracy in visual semi-quantitative detection. By combining with various signal amplification strategies, the detection sensitivity of the constructed sensors can be further improved, even reaching the level of pg/mL. In this review, two strategies for changing the morphology of gold nanomaterials in constructing multicolor colorimetric biosensors, namely the etching strategy and the growth strategy were discussed. We also highlight current progress in developing different gold nanomaterial-based multicolor colorimetric biosensors for detecting various hazards in food. The hazards in food samples are classified as pathogens, mycotoxins, indicators of food freshness, pesticides, antibiotics, heavy metal ions, food additives, and hazards from food processing and packaging. The multicolor colorimetric biosensors based on gold nanomaterials represent a promising tool for visual detection of hazardous materials in food.

Dataset Information

A general method for the development of multicolor biosensors with large dynamic ranges.

Publications

A general method for the development of multicolor biosensors with large dynamic ranges.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets