Evidence map›Paper›PMID 25432776›Full record

ArticleMolecular systems biology2014

Natural genetic variation impacts expression levels of coding, non-coding, and antisense transcripts in fission yeast.

Mathieu Clément-Ziza, Francesc X Marsellach, Sandra Codlin, Manos A Papadakis, Susanne Reinhardt, María Rodríguez-López, Stuart Martin, Samuel Marguerat, Alexander Schmidt, Eunhye Lee and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 66 citations in OpenAlex.

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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

13 authors at 5 institutions in 4 countries.

Mathieu Clément-ZizaBiotechnology Centre, Technische Universität Dresden, Dresden, Germany Cologne Cluster of Excellence in Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany.
Francesc X MarsellachDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK.
Sandra CodlinDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK.
Manos A PapadakisCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.
Susanne ReinhardtBiotechnology Centre, Technische Universität Dresden, Dresden, Germany.
María Rodríguez-LópezDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK.
Stuart MartinDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK.
Samuel MargueratDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK.
Alexander SchmidtBiozentrum, University of Basel, Basel, Switzerland.
Eunhye LeeDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK.
Christopher T WorkmanCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.
Jürg BählerDepartment of Genetics, Evolution & Environment and UCL Genetics Institute, University College London, London, UK j.bahler@ucl.ac.uk andreas.beyer@uni-koeln.de.
Andreas BeyerBiotechnology Centre, Technische Universität Dresden, Dresden, Germany Cologne Cluster of Excellence in Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany j.bahler@ucl.ac.uk andreas.beyer@uni-koeln.de.
University College London · GBTechnical University of Denmark · DKTU Dresden · DEUniversity of Basel · CHUniversity of Cologne · DE

Funding

Wellcome Trust 095598
6 · The paper itself

Abstract

Our current understanding of how natural genetic variation affects gene expression beyond well-annotated coding genes is still limited. The use of deep sequencing technologies for the study of expression quantitative trait loci (eQTLs) has the potential to close this gap. Here, we generated the first recombinant strain library for fission yeast and conducted an RNA-seq-based QTL study of the coding, non-coding, and antisense transcriptomes. We show that the frequency of distal effects (trans-eQTLs) greatly exceeds the number of local effects (cis-eQTLs) and that non-coding RNAs are as likely to be affected by eQTLs as protein-coding RNAs. We identified a genetic variation of swc5 that modifies the levels of 871 RNAs, with effects on both sense and antisense transcription, and show that this effect most likely goes through a compromised deposition of the histone variant H2A.Z. The strains, methods, and datasets generated here provide a rich resource for future studies.

Indexed as

Cell Cycle ProteinsEpigenesis, GeneticGene Expression Regulation, FungalGenetic VariationQuantitative Trait LociRNA, FungalSchizosaccharomycesSchizosaccharomyces pombe ProteinsTranscriptomeCell Cycle ProteinsRNA, FungalSchizosaccharomyces pombe ProteinsSmc5 protein, S pombeantisense transcriptionhistone variantnon‐coding RNAQTLSchizosaccharomyces pombe

Identifiers

PMID25432776
PMCPMC4299605
OpenAlexW2096549586

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.