Evidence map›Paper›PMID 29079635›Full record

ArticleRNA (New York, N.Y.)2018

CeFra-seq reveals broad asymmetric mRNA and noncoding RNA distribution profiles in

Louis Philip Benoit Bouvrette, Neal A L Cody, Julie Bergalet, Fabio Alexis Lefebvre, Cédric Diot, Xiaofeng Wang, Mathieu Blanchette, Eric Lécuyer

Abstract readComparative Study
In one paragraph

Article in RNA (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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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.

Louis Philip Benoit BouvretteInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada.
Neal A L CodyInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada.
Julie BergaletInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada.
Fabio Alexis LefebvreInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada.
Cédric DiotInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada.
Xiaofeng WangInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada.
Mathieu BlanchetteMcGill School of Computer Science, McGill University, Montréal H3A 0E9, Canada.
Eric LécuyerInstitut de Recherches Clinique de Montréal (IRCM), Montréal H2W 1R7, Canada eric.lecuyer@ircm.qc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells are highly asymmetrical, a feature that relies on the sorting of molecular constituents, including proteins, lipids, and nucleic acids, to distinct subcellular locales. The localization of RNA molecules is an important layer of gene regulation required to modulate localized cellular activities, although its global prevalence remains unclear. We combine biochemical cell fractionation with RNA-sequencing (CeFra-seq) analysis to assess the prevalence and conservation of RNA asymmetric distribution on a transcriptome-wide scale in

Indexed as

AnimalsDrosophila melanogasterDrosophila ProteinsHep G2 CellsHumansProtein TransportRNA, Double-StrandedRNA, MessengerRNA TransportRNA, UntranslatedSpecies SpecificityDrosophila ProteinsRNA, Double-StrandedRNA, MessengerRNA, Untranslatedcellular organizationmessenger RNAnoncoding RNARNA localizationRNA-sequencingsubcellular fractionation

Identifiers

PMID29079635
PMCPMC5733575

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.