Evidence map›Paper›PMID 22355166›Full record

ArticleRNA (New York, N.Y.)2012

Identification of cis- and trans-acting factors involved in the localization of MALAT-1 noncoding RNA to nuclear speckles.

Ryu Miyagawa, Keiko Tano, Rie Mizuno, Yo Nakamura, Kenichi Ijiri, Randeep Rakwal, Junko Shibato, Yoshinori Masuo, Akila Mayeda, Tetsuro Hirose and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in RNA (New York, N.Y.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 1 pooled it
4.6field-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

159 citing papers in PubMed, 1 synthesis or guideline pooled it, 236 citations in OpenAlex.

  1. Pooled it
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  17. Review
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  20. Review

99 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

11 authors at 3 institutions in 1 country.

Ryu MiyagawaRadioisotope Center, The University of Tokyo, Bunkyo-ku, Tokyo 113-0032, Japan.
Keiko Tano
Rie Mizuno
Yo Nakamura
Kenichi Ijiri
Randeep Rakwal
Junko Shibato
Yoshinori Masuo
Akila Mayeda
Tetsuro Hirose
Nobuyoshi Akimitsu
The University of Tokyo · JPNational Institute of Advanced Industrial Science and Technology · JPFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MALAT-1 noncoding RNA is localized to nuclear speckles despite its mRNA-like characteristics. Here, we report the identification of several key factors that promote the localization of MALAT-1 to nuclear speckles and also provide evidence that MALAT-1 is involved in the regulation of gene expression. Heterokaryon assays revealed that MALAT-1 does not shuttle between the nucleus and cytoplasm. RNAi-mediated repression of the nuclear speckle proteins, RNPS1, SRm160, or IBP160, which are well-known mRNA processing factors, resulted in the diffusion of MALAT-1 to the nucleoplasm. We demonstrated that MALAT-1 contains two distinct elements directing transcripts to nuclear speckles, which were also capable of binding to RNPS1 in vitro. Depletion of MALAT-1 represses the expression of several genes. Taken together, our results suggest that RNPS1, SRm160, and IBP160 contribute to the localization of MALAT-1 to nuclear speckles, where MALAT-1 could be involved in regulating gene expression.

Indexed as

Base SequenceCell NucleusDNA PrimersDown-RegulationHeLa CellsHumansRNA InterferenceRNA, Long NoncodingRNA, UntranslatedDNA PrimersMALAT1 long non-coding RNA, humanRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID22355166
PMCPMC3312561
OpenAlexW2122576011

What OpenQuestion holds

Textmetadata
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.