Evidence map›Paper›PMID 30390090›Full record

ReviewNature plants2018

Intercellular and systemic trafficking of RNAs in plants.

Lin Liu, Xuemei Chen

Open access · greenAbstract readReview
In one paragraph

Review in Nature plants, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
21.6field-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

83 citing papers in PubMed, 155 citations in OpenAlex.

  1. Article
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  3. Review
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  9. Review
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  11. Article
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  13. Review
  14. Article
  15. Article
  16. RNA interference shapes stress responses inFrontiers in plant science · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Review

23 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 2 institutions in 2 countries.

Lin LiuGuangdong Provincial Key Laboratory for Plant Epigenetics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China.
Xuemei ChenDepartment of Botany and Plant Sciences, Institute of Integrative Genome Biology, University of California, Riverside, CA, USA. xuemei.chen@ucr.edu.ORCID http://orcid.org/0000-0002-5209-1157
Shenzhen University · CNUniversity of California, Riverside · US

Funding

Regulation of APETALA2 in flower development in ArabidopsisR01GM061146 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHEN, MENG · 2000 to 2022
$6.5M
NIGMS NIH HHS R01 GM061146
6 · The paper itself

Abstract

Plants have evolved dynamic and complex networks of cell-to-cell communication to coordinate and adapt their growth and development to a variety of environmental changes. In addition to small molecules, such as metabolites and phytohormones, macromolecules such as proteins and RNAs also act as signalling agents in plants. As information molecules, RNAs can move locally between cells through plasmodesmata, and over long distances through phloem. Non-cell-autonomous RNAs may act as mobile signals to regulate plant development, nutrient allocation, gene silencing, antiviral defence, stress responses and many other physiological processes in plants. Recent work has shed light on mobile RNAs and, in some cases, uncovered their roles in intercellular and systemic signalling networks. This review summarizes the current knowledge of local and systemic RNA movement, and discusses the potential regulatory mechanisms and biological significance of RNA trafficking in plants.

Indexed as

Cell CommunicationPlant Physiological PhenomenaPlantsRNA, PlantSignal TransductionRNA, Plant

Identifiers

PMID30390090
PMCPMC7155933
OpenAlexW2898332767

What OpenQuestion holds

Textmetadata
LicenceTDM
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.