Evidence map›Paper›PMID 23885095›Full record

ReviewMolecular endocrinology (Baltimore, Md.)2013

Minireview: Long noncoding RNAs: new "links" between gene expression and cellular outcomes in endocrinology.

Miao Sun, W Lee Kraus

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular endocrinology (Baltimore, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
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  19. LncRNAs: key players and novel insights into cervical cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

2 authors at 1 institution in 1 country.

Miao SunDepartment of Molecular Biology and Genetics and Graduate Field of Biochemistry, Cornell University, Ithaca, New York 14853, USA.
W Lee Kraus
The University of Texas Southwestern Medical Center · US

Funding

Dose-Dependent Effects of Hormone on the Activity of Estrogen Receptor Enhancers and Target GenesR01DK058110 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI WILLIAM Lee KRAUS · 2000 to 2026
$10.4M
NIDDK NIH HHS R01 DK058110
6 · The paper itself

Abstract

Recent advances in sequencing technologies have revealed that the genome is extensively transcribed, yielding a large repertoire of noncoding RNAs. These include long noncoding RNAs (lncRNAs), mRNA-like molecules that do not code for proteins, which are emerging as a new class of RNAs that play important roles in a variety of cellular processes. Ongoing studies are revealing new insights about lncRNAs, including their physiological functions, disease relationships, and molecular mechanisms of action. Characterized lncRNAs have been shown to interact with and modulate the activity of other RNAs and protein partners, leading to alterations in transcriptional and posttranscriptional regulatory processes. In this review, we summarize the key features of lncRNAs, their molecular mechanisms of action, biological functions, and therapeutic implications, particularly as they apply to the field of molecular endocrinology. In addition, we provide a brief overview of how molecular biologists are beginning to probe the identity, mechanisms, and functions of this emerging class of RNA molecules.

Indexed as

EndocrinologyGene Expression RegulationCellsEndocrine System DiseasesHumansRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID23885095
PMCPMC3753426
OpenAlexW2006905341

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.