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Nucleic Acid Aptamers

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Attention for Chapter 1: Selection of Aptamers for Metabolite Sensing and Construction of Optical Nanosensors
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Chapter title
Selection of Aptamers for Metabolite Sensing and Construction of Optical Nanosensors
Chapter number 1
Book title
Nucleic Acid Aptamers
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3197-2_1
Pubmed ID
Book ISBNs
978-1-4939-3196-5, 978-1-4939-3197-2
Authors

Yi Long, Franziska Pfeiffer, Günter Mayer, Tine Daa Schrøder, Veli Cengiz Özalp, Lars Folke Olsen, Long, Yi, Pfeiffer, Franziska, Mayer, Günter, Schrøder, Tine Daa, Özalp, Veli Cengiz, Olsen, Lars Folke

Abstract

Optical nanosensors are based on particles with diameters from 20 to 200 nm containing sensory elements. The latter are comprised of one or more signaling molecules and one or more references, which allow measurements to be ratiometric and hence independent on the amount of sensor. The signaling molecules may range from simple ion-binding fluorophores, e.g., pH-sensitive dyes, to complex biochemical assays. Aptamers are ideal for use in nanosensors because they are relatively easy to modify chemically and hence to transform into signaling molecules, and their binding affinities may be fine-tuned to a desired measuring range in the selection process. Here we first describe the selection of metabolite binding aptamers, how they are transformed into signaling molecules using a molecular beacon construct and then how they are inserted into nanoparticles. Finally, we briefly describe how the sensors are calibrated before inserted into cells to measure metabolite concentration in real time. As examples we present aptamers binding to key metabolites in cells: ATP and fructose 1, 6-bisphosphate (FBP).

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Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Researcher 3 17%
Student > Ph. D. Student 3 17%
Professor > Associate Professor 2 11%
Unspecified 1 6%
Other 2 11%
Unknown 4 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 33%
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Immunology and Microbiology 1 6%
Other 4 22%
Unknown 3 17%