Evidence map›Paper›PMID 19121618›Full record

ArticleAnalytical biochemistry2009

Stripping custom microRNA microarrays and the lessons learned about probe-slide interactions.

Xiaoxiao Zhang, Wayne Xu, Jiankang Tan, Yan Zeng

Abstract read
In one paragraph

Article in Analytical biochemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Reversible DNA micro-patterning using the fluorous effect.Chemical communications (Cambridge, England) · 2017
    Article
  2. Dynamin 2 along with microRNA-199a reciprocally regulate hypoxia-inducible factors and ovarian cancer metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  3. Performing custom microRNA microarray experiments.Journal of visualized experiments : JoVE · 2011
    Article
  4. Article
  5. 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 at 1 institution in 1 country.

Xiaoxiao ZhangDepartment of Pharmacology, University of Minnesota, 6-120 Jackson Hall, 321 Church Street SE, Minneapolis, MN 55455, USA.
Wayne Xu
Jiankang Tan
Yan Zeng
University of Minnesota · US

Funding

Subcellular Targeting/Packaging of Opioids/ReceptorsP50DA011806 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LOH, HORACE · 1998 to 2012
$14.0M
NIDA NIH HHS DA 011806NIDA NIH HHS P50 DA011806
6 · The paper itself

Abstract

Microarrays have been used extensively in gene expression profiling and genotyping studies. To reduce the high cost and enhance the consistency of microarray experiments, it is often desirable to strip and reuse microarray slides. Our genome-wide analysis of microRNA expression involves the hybridization of fluorescently labeled nucleic acids to custom-made, spotted DNA microarrays based on GAPSII-coated slides. We describe here a simple and effective method to regenerate such custom microarrays that uses a very low-salt buffer to remove labeled nucleic acids from microarrays. Slides can be stripped and reused multiple times without significantly compromising data quality. Moreover, our analyses of the performance of regenerated slides identifies parameters that influence the attachment of oligonucleotide probes to GAPSII slides, shedding light on the interactions between DNA and the microarray surface and suggesting ways in which to improve the design of oligonucleotide probes.

Indexed as

Gene Expression ProfilingHumansMicroRNAsNucleic Acid HybridizationOligonucleotide Array Sequence AnalysisSensitivity and SpecificityMicroRNAs

Identifiers

PMID19121618
PMCPMC2643327
OpenAlexW2051487124

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.