Next-Generation Sequencing as Input for Chemometrics in Differential Sensing Routines

Differential sensing (DS) methods traditionally use spatially arrayed receptors and optical signals to create score plots from multivariate data which classify individual analytes or complex mixtures. Herein, a new approach is described, in which nucleic acid sequences and sequence counts are used a...

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Bibliographic Details
Published in:Angewandte Chemie International Edition 2015-05, Vol.54 (21), p.6339-6342
Main Authors: Goodwin, Sara, Gade, Alexandra M., Byrom, Michelle, Herrera, Baine, Spears, Camille, Anslyn, Eric V., Ellington, Andrew D.
Format: Article
Language:English
Subjects:
analytical methods
aptamers
Aptamers, Nucleotide - chemistry
Arrays
Biotechnology
Cell Line
Classification
Counting
Detection
Differentiation
High-Throughput Nucleotide Sequencing - methods
Humans
Multivariate Analysis
Nucleic acids
Principal Component Analysis
Receptors
sensors
Sequence Analysis, DNA - methods
sequence determination
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Description
Summary:Differential sensing (DS) methods traditionally use spatially arrayed receptors and optical signals to create score plots from multivariate data which classify individual analytes or complex mixtures. Herein, a new approach is described, in which nucleic acid sequences and sequence counts are used as the multivariate data without the necessity of a spatial array. To demonstrate this approach to DS, previously selected aptamers, identified from the literature, were used as semi‐specific receptors, Next‐Gen DNA sequencing was used to generate data, and cell line differentiation was the test‐bed application. The study of a principal component analysis loading plot revealed cross‐reactivity between the aptamers. The technique generates high‐dimensionality score plots, and should be applicable to any mixture of complex and subtly different analytes for which nucleic acid‐based receptors exist. Keeping score: Nucleic acid sequences and sequence counts were used as multivariate data without the necessity of a spatial array. Aptamers were used as semi‐specific receptors for cell line differentiation, and cross‐reactivity between the aptamers was observed. The principal component analysis (PCA) generates high‐dimensionality score plots, thus differentiating a mixture of complex and subtly different analytes.
ISSN:1433-7851
1521-3773
DOI:10.1002/anie.201501822