Evidence map›Paper›PMID 27871336›Full record

ArticleBiology direct2016

ZFAS1: a long noncoding RNA associated with ribosomes in breast cancer cells.

Herah Hansji, Euphemia Y Leung, Bruce C Baguley, Graeme J Finlay, David Cameron-Smith, Vandre C Figueiredo, Marjan E Askarian-Amiri

Open access · goldAbstract read
In one paragraph

Article in Biology direct, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  14. Genomic and functional conservation of lncRNAs: lessons from flies.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
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  16. Microproteins in skeletal muscle: hidden keys in muscle physiology.Journal of cachexia, sarcopenia and muscle · 2022
    Review
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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 2 institutions in 1 country.

Herah HansjiAuckland Cancer Society Research Centre, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
Euphemia Y LeungAuckland Cancer Society Research Centre, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
Bruce C BaguleyAuckland Cancer Society Research Centre, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
Graeme J FinlayAuckland Cancer Society Research Centre, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
David Cameron-SmithThe Liggins Institute, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
Vandre C FigueiredoThe Liggins Institute, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
Marjan E Askarian-AmiriAuckland Cancer Society Research Centre, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand. m.askarian-amiri@auckland.ac.nz.
University of Auckland · NZCancer Society of New Zealand · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost of the eukaryotic genome is transcribed, yielding a complex network of transcripts including thousands of lncRNAs that generally lack protein coding potential. However, only a small percentage of these molecules has been functionally characterised, and discoveries of specific functions demonstrate layers of complexity. A large percentage of lncRNAs is located in the cytoplasm, associated with ribosomes but the function of the majority of these transcripts is unclear. The current study analyses putative mechanisms of action of the lncRNA species member ZFAS1 that was initially discovered by microarray analysis of murine tissues undergoing mammary gland development. As developmental genes are often deregulated in cancer, here we have studied its function in breast cancer cell lines.

resultsUsing human breast cancer cell lines, ZFAS1 was found to be expressed in all cell lines tested, albeit at different levels of abundance. Following subcellular fractionation, human ZFAS1 was found in both nucleus and cytoplasm (as is the mouse orthologue) in an isoform-independent manner. Sucrose gradients based on velocity sedimentation were utilised to separate the different components of total cell lysate, and surprisingly ZFAS1 was primarily co-localised with light polysomes. Further investigation into ribosome association through subunit dissociation studies showed that ZFAS1 was predominantly associated with the 40S small ribosomal subunit. The expression levels of ZFAS1 and of mRNAs encoding several ribosomal proteins that have roles in ribosome assembly, production and maturation were tightly correlated. ZFAS1 knockdown significantly reduced RPS6 phosphorylation.

conclusionA large number of lncRNAs associate with ribosomes but the function of the majority of these lncRNAs has not been elucidated. The association of the lncRNA ZFAS1 with a subpopulation of ribosomes and the correlation with expression of mRNAs for ribosomal proteins suggest a ribosome-interacting mechanism pertaining to their assembly or biosynthetic activity. ZFAS1 may represent a new class of lncRNAs which associates with ribosomes to regulate their function. REVIEWERS: This article was reviewed by Christine Vande Velde, Nicola Aceto and Haruhiko Siomi.

Indexed as

Breast NeoplasmsCell Line, TumorCell NucleusCytoplasmHumansProtein IsoformsRibosomal ProteinsRibosomesRNA, Long NoncodingProtein IsoformsRibosomal ProteinsRNA, Long NoncodingZFAS1 long non-coding RNA, humanBreast cancerlncRNAProtein translationRibosomeSmall subunit of ribosomeZFAS1

Identifiers

PMID27871336
PMCPMC5117590
OpenAlexW2555415447

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.