Evidence map›Paper›PMID 19040753›Full record

ArticleBMC genomics2008

Absolute quantification of the budding yeast transcriptome by means of competitive PCR between genomic and complementary DNAs.

Fumihito Miura, Noriko Kawaguchi, Mikio Yoshida, Chihiro Uematsu, Keiji Kito, Yoshiyuki Sakaki, Takashi Ito

Abstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
–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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. FMRFamide-like peptides expand the behavioral repertoire of a densely connected nervous system.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Pooled it
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  19. Dynamics of RNA polymerase II and elongation factor Spt4/5 recruitment during activator-dependent transcription.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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2 more citing papers are in PubMed but not listed here.

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

7 authors.

Fumihito MiuraDepartment of Computational Biology, Graduate School of Frontier Sciences, University of Tokyo, Kashiwa 277-8561, Japan. fumihito@k.u-tokyo.ac.jp
Noriko Kawaguchi
Mikio Yoshida
Chihiro Uematsu
Keiji Kito
Yoshiyuki Sakaki
Takashi Ito

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn ideal format to describe transcriptome would be its composition measured on the scale of absolute numbers of individual mRNAs per cell. It would help not only to precisely grasp the structure of the transcriptome but also to accelerate data exchange and integration.

resultsWe conceived an idea of competitive PCR between genomic DNA and cDNA. Since the former contains every gene exactly at the same copy number, it can serve as an ideal normalization standard for the latter to obtain stoichiometric composition data of the transcriptome. This data can then be easily converted to absolute quantification data provided with an appropriate calibration. To implement this idea, we improved adaptor-tagged competitive PCR, originally developed for relative quantification of the 3'-end restriction fragment of each cDNA, such that it can be applied to any restriction fragment. We demonstrated that this "generalized" adaptor-tagged competitive PCR (GATC-PCR) can be performed between genomic DNA and cDNA to accurately measure absolute expression level of each mRNA in the budding yeast Saccharomyces cerevisiae. Furthermore, we constructed a large-scale GATC-PCR system to measure absolute expression levels of 5,038 genes to show that the yeast contains more than 30,000 copies of mRNA molecules per cell.

conclusionWe developed a GATC-PCR method to accurately measure absolute expression levels of mRNAs by means of competitive amplification of genomic and cDNA copies of each gene. A large-scale application of GATC-PCR to the budding yeast transcriptome revealed that it is twice or more as large as previously estimated. This method is flexibly applicable to both targeted and genome-wide analyses of absolute expression levels of mRNAs.

Indexed as

DNADNA, ComplementaryDNA, FungalGene Expression ProfilingPolymerase Chain ReactionRNA, FungalSaccharomyces cerevisiaeSaccharomycetalesDNADNA, ComplementaryDNA, FungalRNA, Fungal

Identifiers

PMID19040753
PMCPMC2612024

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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.