Evidence map›Paper›PMID 25826754›Full record

ArticleAngewandte Chemie (International ed. in English)2015

Next-generation sequencing as input for chemometrics in differential sensing routines.

Sara Goodwin, Alexandra M Gade, Michelle Byrom, Baine Herrera, Camille Spears, Eric V Anslyn, Andrew D Ellington

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A supramolecular dissociation strategy for protein sensing.Chemical communications (Cambridge, England) · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sara GoodwinCold Spring Harbor Laboratory, Cold Spring Harbor, NY (USA).
Alexandra M GadeDepartment of Chemistry A1590, The University of Texas at Austin, Austin, TX 78712 (USA).
Michelle ByromInstitute for Cell and Molecular Biology, The University of Texas at Austin, Austin, TX 78712 (USA).
Baine HerreraInstitute for Cell and Molecular Biology, The University of Texas at Austin, Austin, TX 78712 (USA).
Camille SpearsInstitute for Cell and Molecular Biology, The University of Texas at Austin, Austin, TX 78712 (USA).
Eric V AnslynDepartment of Chemistry A1590, The University of Texas at Austin, Austin, TX 78712 (USA). anslyn@austin.utexas.edu.
Andrew D EllingtonInstitute for Cell and Molecular Biology, The University of Texas at Austin, Austin, TX 78712 (USA). andy.ellington@mail.utexas.edu.

Funding

Probing Catalysis by Hydrogen BondsR01GM065515 · NIGMS · UNIVERSITY OF TEXAS AUSTIN · PI ANSLYN, ERIC V. · 2002 to 2012
$1.9M
NIGMS NIH HHS R01 GM065515NIGMS NIH HHS R01-GM065515
6 · The paper itself

Abstract

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.

Indexed as

Aptamers, NucleotideCell LineHigh-Throughput Nucleotide SequencingHumansMultivariate AnalysisPrincipal Component AnalysisSequence Analysis, DNAAptamers, Nucleotideanalytical methodsaptamersnucleic acidssensorssequence determination

Identifiers

PMID25826754
PMCPMC4426058

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.