Evidence map›Paper›PMID 31477156›Full record

ArticleBMC research notes2019

Effect of CFIm68 knockdown on RNA polymerase II transcription.

Michael Tellier, Jessica G Hardy, Chris J Norbury, Shona Murphy

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Michael TellierSir William Dunn School of Pathology, University of Oxford, South Park Roads, Oxford, OX1 3RE, UK. michael.tellier@path.ox.ac.uk.ORCID http://orcid.org/0000-0002-4130-9050
Jessica G HardySir William Dunn School of Pathology, University of Oxford, South Park Roads, Oxford, OX1 3RE, UK.
Chris J NorburySir William Dunn School of Pathology, University of Oxford, South Park Roads, Oxford, OX1 3RE, UK.
Shona MurphySir William Dunn School of Pathology, University of Oxford, South Park Roads, Oxford, OX1 3RE, UK.

Funding

Cancer Research UK C38302/A13012Wellcome TrustWellcome Trust WT106134AIA
6 · The paper itself

Abstract

objectivesTranscription of eukaryotic protein-coding genes by RNA polymerase II (pol II) is highly regulated at initiation, elongation and termination. Transcription is also coordinated with co-transcriptional processing of the emerging pre-mRNA by capping, splicing, and cleavage and polyadenylation. Polyadenylation (poly(A)) site recognition, which defines the end of the mRNA, relies on the cleavage and polyadenylation (CPA) complex. It was previously observed that knocking-down proteins of the CPA complex affects not only recognition of the poly(A) site but also results in increased pausing of pol II at the beginning of genes. This finding suggests that the CPA complex plays a role in regulating pol II turnover after transcription initiation. DATA DESCRIPTION: To explore this possibility, we knocked-down a subunit of the cleavage factor I (CFIm), CFIm68, which is part of the CPA complex and involved in alternative polyadenylation, and performed pol II ChIP-seq in absence or presence of a transcription elongation inhibitor. In addition, we performed pol II ChIP-qPCR on a subset of protein coding genes after knocking down CFIm68.

Indexed as

Gene Knockdown TechniquesTranscription, GeneticHEK293 CellsHumansmRNA Cleavage and Polyadenylation FactorsRNA Polymerase IIcleavage factor Im, humanmRNA Cleavage and Polyadenylation FactorsRNA Polymerase IICFIm68Cleavage and polyadenylation factorsPol II pausingRNA polymerase IITranscription

Identifiers

PMID31477156
PMCPMC6720987

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.