Evidence map›Paper›PMID 27007508›Full record

ReviewCellular and molecular life sciences : CMLS2016

Mechanisms of long noncoding RNA function in development and disease.

Sandra U Schmitz, Phillip Grote, Bernhard G Herrmann

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 638 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
638citing papers in PubMed, 2 pooled it
–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

638 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Long Noncoding RNAs as Blood-Based Biomarkers of Diabetic Retinopathy.Translational vision science & technology · 2026
    Article
  16. Review
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  19. Expression pattern of circulating long non-coding RNAArchives of medical science : AMS · 2026
    Article
  20. Review

578 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

3 authors.

Sandra U SchmitzDepartment of Developmental Genetics, Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195, Berlin, Germany. sschmitz@molgen.mpg.de.
Phillip GroteInstitute of Cardiovascular Regeneration, Center for Molecular Medicine, Goethe University, Theodor-Stern-Kai 7, 60590, Frankfurt, Germany.
Bernhard G HerrmannDepartment of Developmental Genetics, Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, 14195, Berlin, Germany. herrmann@molgen.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since decades it has been known that non-protein-coding RNAs have important cellular functions. Deep sequencing recently facilitated the discovery of thousands of novel transcripts, now classified as long noncoding RNAs (lncRNAs), in many vertebrate and invertebrate species. LncRNAs are involved in a wide range of cellular mechanisms, from almost all aspects of gene expression to protein translation and stability. Recent findings implicate lncRNAs as key players of cellular differentiation, cell lineage choice, organogenesis and tissue homeostasis. Moreover, lncRNAs are involved in pathological conditions such as cancer and cardiovascular disease, and therefore provide novel biomarkers and pharmaceutical targets. Here we discuss examples illustrating the versatility of lncRNAs in gene control, development and differentiation, as well as in human disease.

Indexed as

Gene Expression RegulationAnimalsCardiovascular DiseasesChromatin Assembly and DisassemblyDNA MethylationEpigenesis, GeneticHistone CodeHumansNeoplasmsRNA, Long NoncodingRNA, Long NoncodingCancerCardiovascular diseaseChromatinDifferentiationEpigeneticsGene regulationGenome organizationLncRNA

Identifiers

PMID27007508
PMCPMC4894931

What OpenQuestion holds

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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.