Evidence map›Paper›PMID 23246344›Full record

ArticleAnalytical biochemistry2013

Charge-neutral morpholino microarrays for nucleic acid analysis.

Wanqiong Qiao, Sergey Kalachikov, Yatao Liu, Rastislav Levicky

Abstract read
In one paragraph

Article in Analytical biochemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Wanqiong QiaoDepartment of Chemical and Biomolecular Engineering, Polytechnic Institute of New York University, Brooklyn, NY 11201, USA.
Sergey Kalachikov
Yatao Liu
Rastislav Levicky

Funding

Comparison of Morpholino and DNA Technologies for Surface-Based DiagnosticsR01HG004512 · NHGRI · POLYTECHNIC UNIVERSITY · PI LEVICKY, RASTISLAV · 2008 to 2010
$756k
NHGRI NIH HHS R01 HG004512NHGRI NIH HHS R01HG004512
6 · The paper itself

Abstract

A principal challenge in microarray experiments is to facilitate hybridization between probe strands on the array with complementary target strands from solution while suppressing any competing interactions that the probes and targets may experience. Synthetic DNA analogs, whose hybridization to targets can exhibit qualitatively different dependence on experimental conditions than for nucleic acid probes, open up an attractive alternative for improving selectivity of array hybridization. Morpholinos (MOs), a class of uncharged DNA analogs, are investigated as microarray probes instead of DNA. MO microarrays were fabricated by contact printing of amino-modified probes onto aldehyde slides. In addition to covalent immobilization, MOs were found to efficiently immobilize through physical adsorption; such physically adsorbed probes could be removed by post-printing washes with surfactant solutions. Hybridization of double-stranded DNA targets to MO microarrays revealed a hybridization maximum at intermediate ionic strengths. The decline in hybridization at lower ionic strengths was attributed to an electrostatic barrier accumulated from hybridized DNA targets, whereas at higher ionic strengths it was attributed to stabilization of target secondary structure in solution. These trends, which illustrate ionic strength tuning of forming on-array relative to solution secondary structure, were supported by a stability analysis of MO/DNA and DNA/DNA duplexes in solution.

Indexed as

Oligonucleotide Array Sequence AnalysisChemistry Techniques, AnalyticalDNAMolecular ProbesMorpholinosSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSurface PropertiesDNAMolecular ProbesMorpholinos

Identifiers

PMID23246344
PMCPMC3565101

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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.