Evidence map›Paper›PMID 22466169›Full record

ArticleGenome research2012

Comparative dynamic transcriptome analysis (cDTA) reveals mutual feedback between mRNA synthesis and degradation.

Mai Sun, Björn Schwalb, Daniel Schulz, Nicole Pirkl, Stefanie Etzold, Laurent Larivière, Kerstin C Maier, Martin Seizl, Achim Tresch, Patrick Cramer

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 2 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

178 citing papers in PubMed, 2 syntheses or guidelines pooled it, 313 citations in OpenAlex.

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118 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

10 authors at 1 institution in 1 country.

Mai SunGene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
Björn Schwalb
Daniel Schulz
Nicole Pirkl
Stefanie Etzold
Laurent Larivière
Kerstin C Maier
Martin Seizl
Achim Tresch
Patrick Cramer
Center for Integrated Protein Science Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To monitor eukaryotic mRNA metabolism, we developed comparative dynamic transcriptome analysis (cDTA). cDTA provides absolute rates of mRNA synthesis and decay in Saccharomyces cerevisiae (Sc) cells with the use of Schizosaccharomyces pombe (Sp) as an internal standard. cDTA uses nonperturbing metabolic labeling that supersedes conventional methods for mRNA turnover analysis. cDTA reveals that Sc and Sp transcripts that encode orthologous proteins have similar synthesis rates, whereas decay rates are fivefold lower in Sp, resulting in similar mRNA concentrations despite the larger Sp cell volume. cDTA of Sc mutants reveals that a eukaryote can buffer mRNA levels. Impairing transcription with a point mutation in RNA polymerase (Pol) II causes decreased mRNA synthesis rates as expected, but also decreased decay rates. Impairing mRNA degradation by deleting deadenylase subunits of the Ccr4-Not complex causes decreased decay rates as expected, but also decreased synthesis rates. Extended kinetic modeling reveals mutual feedback between mRNA synthesis and degradation that may be achieved by a factor that inhibits synthesis and enhances degradation.

Indexed as

RNA StabilityCell NucleusFeedback, PhysiologicalGene Expression ProfilingGene Expression Regulation, FungalGenome, FungalPoint MutationRibonucleasesRNA, FungalRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSchizosaccharomycesTranscription, GeneticTranscriptomeCCR4 protein, S cerevisiaeRibonucleasesRNA, FungalRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID22466169
PMCPMC3396375
OpenAlexW2145819283

What OpenQuestion holds

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LicenceCC BY-NC
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.