Evidence map›Paper›PMID 14519201›Full record

ArticleGenome biology2003

Optimization of oligonucleotide arrays and RNA amplification protocols for analysis of transcript structure and alternative splicing.

John Castle, Phil Garrett-Engele, Christopher D Armour, Sven J Duenwald, Patrick M Loerch, Michael R Meyer, Eric E Schadt, Roland Stoughton, Mark L Parrish, Daniel D Shoemaker and 1 more

Abstract read
In one paragraph

Article in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Microarrays and the Dawn of Omics Data Analysis.Advances in experimental medicine and biology · 2026
    Review
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  4. Overview of DNA microarrays: types, applications, and their future.Current protocols in molecular biology · 2013
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. High-throughput identification of genetic markers using representational oligonucleotide microarray analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
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  11. Article
  12. Article
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  15. Article
  16. Article
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  19. Mapping the genome landscape using tiling array technology.Current opinion in plant biology · 2007
    Review
  20. 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

11 authors.

John CastleRosetta Inpharmatics, Merck & Co, Inc, 12040 115th Ave NE, Kirkland, Washington 98034, USA.
Phil Garrett-Engele
Christopher D Armour
Sven J Duenwald
Patrick M Loerch
Michael R Meyer
Eric E Schadt
Roland Stoughton
Mark L Parrish
Daniel D Shoemaker
Jason M Johnson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microarrays offer a high-resolution means for monitoring pre-mRNA splicing on a genomic scale. We have developed a novel, unbiased amplification protocol that permits labeling of entire transcripts. Also, hybridization conditions, probe characteristics, and analysis algorithms were optimized for detection of exons, exon-intron edges, and exon junctions. These optimized protocols can be used to detect small variations and isoform mixtures, map the tissue specificity of known human alternative isoforms, and provide a robust, scalable platform for high-throughput discovery of alternative splicing.

Indexed as

Alternative SplicingAnnexin A7ExonsHumansIntronsMolecular Sequence DataOligonucleotide Array Sequence AnalysisProtein IsoformsRetinoblastomaReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA Splice SitesAnnexin A7Protein IsoformsRNA, MessengerRNA Splice Sites

Identifiers

PMID14519201
PMCPMC328455

What OpenQuestion holds

Textmetadata
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.