Evidence map›Paper›PMID 26138457›Full record

ReviewGenesis (New York, N.Y. : 2000)2015

Movement of regulatory RNA between animal cells.

Antony M Jose

Open access · bronzeAbstract readReview
In one paragraph

Review in Genesis (New York, N.Y. : 2000), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. The plasma miRNAome in ADNI: Signatures to aid the detection of at-risk individuals.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
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  12. 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

1 author at 1 institution in 1 country.

Antony M JoseDepartment of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland.
University of Maryland, College Park · US

Funding

Movement of RNA between animal cellsR01GM111457 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI JOSE, ANTONY MERLIN · 2014 to 2018
$1.4M
NIGMS NIH HHS R01 GM111457
6 · The paper itself

Abstract

Recent studies suggest that RNA can move from one cell to another and regulate genes through specific base-pairing. Mechanisms that modify or select RNA for secretion from a cell are unclear. Secreted RNA can be stable enough to be detected in the extracellular environment and can enter the cytosol of distant cells to regulate genes. Mechanisms that import RNA into the cytosol of an animal cell can enable uptake of RNA from many sources including other organisms. This role of RNA is akin to that of steroid hormones, which cross cell membranes to regulate genes. The potential diagnostic use of RNA in human extracellular fluids has ignited interest in understanding mechanisms that enable the movement of RNA between animal cells. Genetic model systems will be essential to gain more confidence in proposed mechanisms of RNA transport and to connect an extracellular RNA with a specific biological function. Studies in the worm C. elegans and in other animals have begun to reveal parts of this novel mechanism of cell-to-cell communication. Here, I summarize the current state of this nascent field, highlight the many unknowns, and suggest future directions.

Indexed as

Regulatory Sequences, Ribonucleic AcidAnimalsCaenorhabditis elegansCell CommunicationDrosophila melanogasterExtracellular SpaceGene Expression RegulationRNARNA TransportRegulatory Sequences, Ribonucleic AcidRNAC. elegansepigeneticsexosomeshormonesmobile RNAsystemic RNAi

Identifiers

PMID26138457
PMCPMC4915348
OpenAlexW1513163785

What OpenQuestion holds

Textmetadata
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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.