Evidence map›Paper›PMID 17908303›Full record

ArticleBMC genomics2007

Optimising the analysis of transcript data using high density oligonucleotide arrays and genomic DNA-based probe selection.

Neil S Graham, Martin R Broadley, John P Hammond, Philip J White, Sean T May

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-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, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Neil S GrahamPlant Science Division, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, LE12 5RD, UK. neil@arabidopsis.info
Martin R Broadley
John P Hammond
Philip J White
Sean T May
University of Nottingham · GBUniversity of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BB/E01772X/1Biotechnology and Biological Sciences Research Council BB/E022758/1Biotechnology and Biological Sciences Research Council BBS/B/1356XBiotechnology and Biological Sciences Research Council G17764Biotechnology and Biological Sciences Research Council G18881
6 · The paper itself

Abstract

backgroundAffymetrix GeneChip arrays are widely used for transcriptomic studies in a diverse range of species. Each gene is represented on a GeneChip array by a probe-set, consisting of up to 16 probe-pairs. Signal intensities across probe-pairs within a probe-set vary in part due to different physical hybridisation characteristics of individual probes with their target labelled transcripts. We have previously developed a technique to study the transcriptomes of heterologous species based on hybridising genomic DNA (gDNA) to a GeneChip array designed for a different species, and subsequently using only those probes with good homology.

resultsHere we have investigated the effects of hybridising homologous species gDNA to study the transcriptomes of species for which the arrays have been designed. Genomic DNA from Arabidopsis thaliana and rice (Oryza sativa) were hybridised to the Affymetrix Arabidopsis ATH1 and Rice Genome GeneChip arrays respectively. Probe selection based on gDNA hybridisation intensity increased the number of genes identified as significantly differentially expressed in two published studies of Arabidopsis development, and optimised the analysis of technical replicates obtained from pooled samples of RNA from rice.

conclusionThis mixed physical and bioinformatics approach can be used to optimise estimates of gene expression when using GeneChip arrays.

Indexed as

DNA ProbesGenomeOligonucleotide Array Sequence AnalysisSelection, GeneticTranscription, GeneticArabidopsisComputational BiologyGene ExpressionGenome, PlantNucleic Acid HybridizationOryzaRNADNA ProbesRNA

Identifiers

PMID17908303
PMCPMC2045678
OpenAlexW2092407642

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.