Evidence map›Paper›PMID 17686789›Full record

ArticleNucleic acids research2007

Toward a universal microarray: prediction of gene expression through nearest-neighbor probe sequence identification.

Thomas E Royce, Joel S Rozowsky, Mark B Gerstein

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

32 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
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  4. Processing and Analysis of RNA-seq Data from Public Resources.Methods in molecular biology (Clifton, N.J.) · 2021
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  19. Advanced Applications of RNA Sequencing and Challenges.Bioinformatics and biology insights · 2015
    Review
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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

3 authors at 1 institution in 1 country.

Thomas E RoyceInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, USA.
Joel S Rozowsky
Mark B Gerstein
Yale University · US

Funding

Human Genome Array: Technology for Functional AnalysisP50HG002357 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2001 to 2010
$31.9M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
NCRR NIH HHS RR19895-02NCRR NIH HHS S10 RR019895NHGRI NIH HHS P50 HG002357NHGRI NIH HHS P50 HG02357-01
6 · The paper itself

Abstract

A generic DNA microarray design applicable to any species would greatly benefit comparative genomics. We have addressed the feasibility of such a design by leveraging the great feature densities and relatively unbiased nature of genomic tiling microarrays. Specifically, we first divided each Homo sapiens Refseq-derived gene's spliced nucleotide sequence into all of its possible contiguous 25 nt subsequences. For each of these 25 nt subsequences, we searched a recent human transcript mapping experiment's probe design for the 25 nt probe sequence having the fewest mismatches with the subsequence, but that did not match the subsequence exactly. Signal intensities measured with each gene's nearest-neighbor features were subsequently averaged to predict their gene expression levels in each of the experiment's thirty-three hybridizations. We examined the fidelity of this approach in terms of both sensitivity and specificity for detecting actively transcribed genes, for transcriptional consistency between exons of the same gene, and for reproducibility between tiling array designs. Taken together, our results provide proof-of-principle for probing nucleic acid targets with off-target, nearest-neighbor features.

Indexed as

Gene Expression ProfilingGenome, HumanHumansOligonucleotide Array Sequence AnalysisOligonucleotide ProbesSequence Analysis, DNATranscription, GeneticOligonucleotide Probes

Identifiers

PMID17686789
PMCPMC1976448
OpenAlexW2098160160

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.