Evidence map›Paper›PMID 23101633›Full record

ArticleCell2012

Quantitative analysis of fission yeast transcriptomes and proteomes in proliferating and quiescent cells.

Samuel Marguerat, Alexander Schmidt, Sandra Codlin, Wei Chen, Ruedi Aebersold, Jürg Bähler

Open access · hybridAbstract read
In one paragraph

Article in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 332 papers.

0numbers the graph read from it
0cells of the map it votes in
332citing papers in PubMed
22.7field-weighted citation impact, top 1% 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

332 citing papers in PubMed, 620 citations in OpenAlex.

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272 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Samuel MargueratUniversity College London, Department of Genetics, Evolution and Environment and UCL Cancer Institute, London WC1E 6BT, UK.
Alexander Schmidt
Sandra Codlin
Wei Chen
Ruedi Aebersold
Jürg Bähler
University College London · GBETH Zurich · CHMax Delbrück Center · DEUniversity of Basel · CH

Funding

Biotechnology and Biological Sciences Research Council BB/I012451/1Wellcome Trust 095598
6 · The paper itself

Abstract

Data on absolute molecule numbers will empower the modeling, understanding, and comparison of cellular functions and biological systems. We quantified transcriptomes and proteomes in fission yeast during cellular proliferation and quiescence. This rich resource provides the first comprehensive reference for all RNA and most protein concentrations in a eukaryote under two key physiological conditions. The integrated data set supports quantitative biology and affords unique insights into cell regulation. Although mRNAs are typically expressed in a narrow range above 1 copy/cell, most long, noncoding RNAs, except for a distinct subset, are tightly repressed below 1 copy/cell. Cell-cycle-regulated transcription tunes mRNA numbers to phase-specific requirements but can also bring about more switch-like expression. Proteins greatly exceed mRNAs in abundance and dynamic range, and concentrations are regulated to functional demands. Upon transition to quiescence, the proteome changes substantially, but, in stark contrast to mRNAs, proteins do not uniformly decrease but scale with cell volume.

Indexed as

TranscriptomeCell CycleMass SpectrometryProteomeRNA, FungalRNA, Long NoncodingRNA, MessengerSchizosaccharomycesSchizosaccharomyces pombe ProteinsSequence Analysis, RNAProteomeRNA, FungalRNA, Long NoncodingRNA, MessengerSchizosaccharomyces pombe Proteins

Identifiers

PMID23101633
PMCPMC3482660
OpenAlexW2043831708

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.