Evidence map›Paper›PMID 12756529›Full record

ArticleMolecular genetics and genomics : MGG2003

Quantitative cDNA-AFLP analysis for genome-wide expression studies.

P Breyne, R Dreesen, B Cannoot, D Rombaut, K Vandepoele, S Rombauts, R Vanderhaeghen, D Inzé, M Zabeau

Abstract read
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In one paragraph

Article in Molecular genetics and genomics : MGG, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 166 citations in OpenAlex.

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  12. cDNA-AFLP-based genetical genomics in cotton fibers.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012
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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

9 authors at 3 institutions in 1 country.

P BreyneDepartment of Plant Systems Biology, Flanders Interuniversity Institute for Biotechnology, Ghent University, K.L. Ledeganckstraat 35, Belgium.
R Dreesen
B Cannoot
D Rombaut
K Vandepoele
S Rombauts
R Vanderhaeghen
D Inzé
M Zabeau
Ghent University Hospital · BEVlaams Instituut voor Biotechnologie · BEGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An improved cDNA-AFLP method for genome-wide expression analysis has been developed. We demonstrate that this method is an efficient tool for quantitative transcript profiling and a valid alternative to microarrays. Unique transcript tags, generated from reverse-transcribed messenger RNA by restriction enzymes, were screened through a series of selective PCR amplifications. Based on in silico analysis, an enzyme combination was chosen that ensures that at least 60% of all the mRNAs were represented by an informative sequence tag. The sensitivity and specificity of the method allows one to detect poorly expressed genes and distinguish between homologous sequences. Accurate gene expression profiles were determined by quantitative analysis of band intensities, and subtle differences in transcriptional activity were revealed. A detailed screen for cell cycle-modulated genes in tobacco demonstrates the usefulness of the technology for genome-wide expression analysis.

Indexed as

Genetic TechniquesGenomePolymorphism, GeneticBase SequenceDNA, ComplementaryDNA PrimersModels, GeneticMolecular Sequence DataNicotianaOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionRNARNA, MessengerDNA, ComplementaryDNA PrimersRNARNA, Messenger

Identifiers

PMID12756529
OpenAlexW2102956187

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.