Evidence map›Paper›PMID 23177741›Full record

ArticleMolecular cell2013

Kinetic competition between RNA Polymerase II and Sen1-dependent transcription termination.

Dane Z Hazelbaker, Sebastian Marquardt, Wiebke Wlotzka, Stephen Buratowski

Open access · bronzeAbstract read
In one paragraph

Article in Molecular cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

86 citing papers in PubMed, 132 citations in OpenAlex.

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26 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

4 authors at 1 institution in 1 country.

Dane Z HazelbakerDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, 240 Longwood Avenue, Boston, MA 02115, USA.
Sebastian Marquardt
Wiebke Wlotzka
Stephen Buratowski
Harvard University · US

Funding

The RNA Polymerase II Transcription CycleR01GM056663 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Stephen Buratowski · 1999 to 2026
$11.7M
NIGMS NIH HHS GM56663NIGMS NIH HHS R01 GM056663
6 · The paper itself

Abstract

The essential helicase-like protein Sen1 mediates termination of RNA Polymerase II (Pol II) transcription at snoRNAs and other noncoding RNAs in yeast. A mutation in the Pol II subunit Rpb1 that increases the elongation rate increases read-through transcription at Sen1-mediated terminators. Termination and growth defects in sen1 mutant cells are partially suppressed by a slowly transcribing Pol II mutant and are exacerbated by a faster-transcribing Pol II mutant. Deletion of the nuclear exosome subunit Rrp6 allows visualization of noncoding RNA intermediates that are terminated but not yet processed. Sen1 mutants or faster-transcribing Pol II increase the average lengths of preprocessed snoRNA, CUT, and SUT transcripts, while slowed Pol II transcription produces shorter transcripts. These connections between transcription rate and Sen1 activity support a model whereby kinetic competition between elongating Pol II and Sen1 helicase establishes the temporal and spatial window for early Pol II termination.

Indexed as

Transcription Termination, GeneticAllelesAmino Acid MotifsAmino Acid SubstitutionChromosome MappingDNA HelicasesKineticsRNA, FungalRNA HelicasesRNA Polymerase IIRNA, Small NucleolarSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsDNA HelicasesRNA, FungalRNA HelicasesRNA Polymerase IIRNA, Small NucleolarRPB1 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsSEN1 protein, S cerevisiae

Identifiers

PMID23177741
PMCPMC3545030
OpenAlexW1968745867

What OpenQuestion holds

Textmetadata
LicenceTDM
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.