Evidence map›Paper›PMID 28529100›Full record

ReviewGenomics, proteomics & bioinformatics2017

Transcriptional and Post-transcriptional Gene Regulation by Long Non-coding RNA.

Iain M Dykes, Costanza Emanueli

Open access · goldAbstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 498 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
498citing papers in PubMed, 2 pooled it
24.5field-weighted citation impact, top 1% 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

498 citing papers in PubMed, 2 syntheses or guidelines pooled it, 924 citations in OpenAlex.

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  10. mCellular & molecular biology letters · 2026
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438 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

2 authors at 1 institution in 1 country.

Iain M DykesSchool of Clinical Sciences, University of Bristol, Bristol BS2 8HW, United Kingdom. Electronic address: Iain.dykes@bristol.ac.uk.
Costanza EmanueliSchool of Clinical Sciences, University of Bristol, Bristol BS2 8HW, United Kingdom; National Heart and Lung Institute, Imperial College London, London SW7 2AZ, United Kingdom.
University of Bristol · GB

Funding

British Heart Foundation CH/15/1/31199
6 · The paper itself

Abstract

Advances in genomics technology over recent years have led to the surprising discovery that the genome is far more pervasively transcribed than was previously appreciated. Much of the newly-discovered transcriptome appears to represent long non-coding RNA (lncRNA), a heterogeneous group of largely uncharacterised transcripts. Understanding the biological function of these molecules represents a major challenge and in this review we discuss some of the progress made to date. One major theme of lncRNA biology seems to be the existence of a network of interactions with microRNA (miRNA) pathways. lncRNA has been shown to act as both a source and an inhibitory regulator of miRNA. At the transcriptional level, a model is emerging whereby lncRNA bridges DNA and protein by binding to chromatin and serving as a scaffold for modifying protein complexes. Such a mechanism can bridge promoters to enhancers or enhancer-like non-coding genes by regulating chromatin looping, as well as conferring specificity on histone modifying complexes by directing them to specific loci.

Indexed as

AnimalsChromatinGene Expression RegulationHumansMicroRNAsRNA, Long NoncodingRNA Processing, Post-TranscriptionalTranscription FactorsTranscription, GeneticChromatinMicroRNAsRNA, Long NoncodingTranscription FactorsEpigeneticsLong non-coding RNAMicroRNAPost-transcriptional regulationTranscriptional regulation

Identifiers

PMID28529100
PMCPMC5487525
OpenAlexW2615184377

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.