Evidence map›Paper›PMID 26883383›Full record

ArticleMolecular systems biology2016

Determinants of RNA metabolism in the Schizosaccharomyces pombe genome.

Philipp Eser, Leonhard Wachutka, Kerstin C Maier, Carina Demel, Mariana Boroni, Srignanakshi Iyer, Patrick Cramer, Julien Gagneur

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

53 citing papers in PubMed, 105 citations in OpenAlex.

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  8. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
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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

8 authors at 3 institutions in 1 country.

Philipp EserDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
Leonhard WachutkaGene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
Kerstin C MaierDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Carina DemelDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
Mariana BoroniGene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
Srignanakshi IyerGene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany.
Patrick CramerDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany patrick.cramer@mpibpc.mpg.de gagneur@in.tum.de.
Julien GagneurGene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany patrick.cramer@mpibpc.mpg.de gagneur@in.tum.de.
Max Planck Institute for Biophysical Chemistry · DECenter for Integrated Protein Science Munich · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To decrypt the regulatory code of the genome, sequence elements must be defined that determine the kinetics of RNA metabolism and thus gene expression. Here, we attempt such decryption in an eukaryotic model organism, the fission yeast S. pombe. We first derive an improved genome annotation that redefines borders of 36% of expressed mRNAs and adds 487 non-coding RNAs (ncRNAs). We then combine RNA labeling in vivo with mathematical modeling to obtain rates of RNA synthesis and degradation for 5,484 expressed RNAs and splicing rates for 4,958 introns. We identify functional sequence elements in DNA and RNA that control RNA metabolic rates and quantify the contributions of individual nucleotides to RNA synthesis, splicing, and degradation. Our approach reveals distinct kinetics of mRNA and ncRNA metabolism, separates antisense regulation by transcription interference from RNA interference, and provides a general tool for studying the regulatory code of genomes.

Indexed as

Gene Expression Regulation, FungalGenome, FungalIntronsRNA, AntisenseRNA, FungalRNA InterferenceRNA, MessengerRNA SplicingSchizosaccharomycesSequence Analysis, RNATranscription, GeneticRNA, AntisenseRNA, FungalRNA, Messengercis‐regulatory elementgene regulationRNA degradationRNA synthesissplicing

Identifiers

PMID26883383
PMCPMC4770384
OpenAlexW2274600402

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.