Evidence map›Paper›PMID 23029333›Full record

ArticlePloS one2012

Automated high-throughput RNAi screening in human cells combined with reporter mRNA transfection to identify novel regulators of translation.

Claudia M Casanova, Peter Sehr, Kerstin Putzker, Matthias W Hentze, Beate Neumann, Kent E Duncan, Christian Thoma

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 9 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

7 authors at 3 institutions in 1 country.

Claudia M CasanovaDepartment of Medicine II, University Hospital of Freiburg, Germany.
Peter Sehr
Kerstin Putzker
Matthias W Hentze
Beate Neumann
Kent E Duncan
Christian Thoma
European Molecular Biology Organization · DEUniversity Medical Center Freiburg · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins that promote angiogenesis, such as vascular endothelial growth factor (VEGF), are major targets for cancer therapy. Accordingly, proteins that specifically activate expression of factors like VEGF are potential alternative therapeutic targets and may help to combat evasive resistance to angiogenesis inhibitors. VEGF mRNA contains two internal ribosome entry sites (IRESs) that enable selective activation of VEGF protein synthesis under hypoxic conditions that trigger angiogenesis. To identify novel regulators of VEGF IRES-driven translation in human cells, we have developed a high-throughput screening approach that combines siRNA treatment with transfection of a VEGF-IRES reporter mRNA. We identified the kinase MAPK3 as a novel positive regulator of VEGF IRES-driven translation and have validated its regulatory effect on endogenous VEGF. Our automated method is scalable and readily adapted for use with other mRNA regulatory elements. Consequently, it should be a generally useful approach for high-throughput identification of novel regulators of mRNA translation.

Indexed as

Protein BiosynthesisRNA InterferenceTransfectionHeLa CellsHigh-Throughput Screening AssaysHumansMitogen-Activated Protein Kinase 3Phosphoric Monoester HydrolasesPhosphotransferasesRNA, MessengerVascular Endothelial Growth Factor AMitogen-Activated Protein Kinase 3Phosphoric Monoester HydrolasesPhosphotransferasesRNA, MessengerVascular Endothelial Growth Factor A

Identifiers

PMID23029333
PMCPMC3459937
OpenAlexW1980751643

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.