Evidence map›Paper›PMID 24974018›Full record

ReviewTrends in genetics : TIG2014

Transcriptional regulatory functions of nuclear long noncoding RNAs.

Keith W Vance, Chris P Ponting

Open access · hybridAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 260 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
260citing papers in PubMed, 1 pooled it
13.4field-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

260 citing papers in PubMed, 1 synthesis or guideline pooled it, 434 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Mechanistic study of antisense long non-coding RNAExploration of targeted anti-tumor therapy · 2026
    Article
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200 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.

Keith W VanceMRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford, OX1 3PT, UK. Electronic address: Keith.Vance@dpag.ox.ac.uk.
Chris P PontingMRC Functional Genomics Unit, Department of Physiology, Anatomy and Genetics, University of Oxford, South Parks Road, Oxford, OX1 3PT, UK. Electronic address: Chris.Ponting@dpag.ox.ac.uk.
Genomics (United Kingdom) · GB

Funding

European Research Council 249869Medical Research Council MC_U137761446Medical Research Council MC_UU_12021/1
6 · The paper itself

Abstract

Several nuclear localised intergenic long noncoding RNAs (lncRNAs) have been ascribed regulatory roles in transcriptional control and their number is growing rapidly. Initially, these transcripts were shown to function locally, near their sites of synthesis, by regulating the expression of neighbouring genes. More recently, lncRNAs have been demonstrated to interact with chromatin at several thousand different locations across multiple chromosomes and to modulate large-scale gene expression programs. Although the molecular mechanisms involved in targeting lncRNAs to distal binding sites remain poorly understood, the spatial organisation of the genome may have a role in specifying lncRNA function. Recent advances indicate that intergenic lncRNAs may exert more widespread effects on gene regulation than previously anticipated.

Indexed as

Gene Expression RegulationTranscription, GeneticAnimalsCell NucleusChromatin Assembly and DisassemblyHumansRNA, Long NoncodingRNA, Long Noncodingchromatin conformationlong noncoding RNARNA–protein interactionstranscription

Identifiers

PMID24974018
PMCPMC4115187
OpenAlexW2037907723

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.