Evidence map›Paper›PMID 10613853›Full record

ArticleGenome research1999

Expression profiling by iAFLP: A PCR-based method for genome-wide gene expression profiling.

S Kawamoto, T Ohnishi, H Kita, O Chisaka, K Okubo

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Large-scale tag/PCR-based gene expression profiling.World journal of microbiology & biotechnology · 2014
    Review
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  11. Current awareness.Yeast (Chichester, England) · 2000
    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.

S KawamotoInstitute for Molecular and Cellular Biology, Osaka University, 1-3, Yamada-oka, Suita, Osaka 565 Japan.
T Ohnishi
H Kita
O Chisaka
K Okubo
Kyoto University · JPThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of comprehensive sets of genes has prompted the researchers to carry out systematic collection of gene expression data. RT-PCR has the highest specificity and sensitivity for transcript detection among all available methods. Low throughput, especially when quantitative data are desired, has precluded RT-PCR from genome-wide application. Here we report a PCR-based expression profiling method, introduced amplified fragment length polymorphism (iAFLP), that has the same specificity and sensitivity as RT-PCR and a throughput level comparable to that of DNA-microarray hybridization. In this method, restricted ends of total cDNAs from six sources were ligated with adaptors having various length of short insertions to a common sequence (polymorphic adaptors). Amplification of a pool of these differentially adapted cDNAs with a gene-specific primer and an adaptor primer allows us to quantitate the abundance of any transcript in six mRNA sources. Using three different primer colors this technique allows quantitation of expression of 864 genes across six different sources per day with a single autosequencer, which is comparable to the throughput of microarray analysis in terms of number of genes x number of sources.

Indexed as

Polymorphism, Restriction Fragment LengthAnimalsBase SequenceBrainDNADNA, NeoplasmDNA PrimersGene AmplificationGene Expression ProfilingGenomeHepatoblastomaHumansLiver NeoplasmsMiceMolecular Sequence DataReverse Transcriptase Polymerase Chain ReactionDNADNA, NeoplasmDNA Primers

Identifiers

PMID10613853
PMCPMC311005
OpenAlexW2029255817

What OpenQuestion holds

Textmetadata
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Registered trials

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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.