Evidence map›Paper›PMID 28700920›Full record

ArticleBiophysical journal2017

Modeling Endoplasmic Reticulum Network Maintenance in a Plant Cell.

Congping Lin, Rhiannon R White, Imogen Sparkes, Peter Ashwin

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In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. The endoplasmic reticulum as an active liquid network.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Quantitation of ER Morphology and Dynamics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
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  14. Article
  15. Ionic stress enhances ER-PM connectivity via phosphoinositide-associated SYT1 contact site expansion inProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
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

4 authors.

Congping LinCenter for Mathematical Sciences, Huazhong University of Science and Technology, Wuhan, China; Hubei Key Lab of Engineering Modeling and Scientific Computing, Huazhong University of Science and Technology, Wuhan, China; Department of Mathematics, University of Exeter, Exeter, United Kingdom. Electronic address: congpinglin@gmail.com.
Rhiannon R WhiteDepartment of Biosciences, University of Exeter, Exeter, United Kingdom.
Imogen SparkesDepartment of Biosciences, University of Exeter, Exeter, United Kingdom; School of Biological Sciences, University of Bristol, Bristol, United Kingdom.
Peter AshwinDepartment of Mathematics, University of Exeter, Exeter, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endoplasmic reticulum (ER) in plant cells forms a highly dynamic network of complex geometry. ER network morphology and dynamics are influenced by a number of biophysical processes, including filament/tubule tension, viscous forces, Brownian diffusion, and interactions with many other organelles and cytoskeletal elements. Previous studies have indicated that ER networks can be thought of as constrained minimal-length networks acted on by a variety of forces that perturb and/or remodel the network. Here, we study two specific biophysical processes involved in remodeling. One is the dynamic relaxation process involving a combination of tubule tension and viscous forces. The other is the rapid creation of cross-connection tubules by direct or indirect interactions with cytoskeletal elements. These processes are able to remodel the ER network: the first reduces network length and complexity whereas the second increases both. Using live cell imaging of ER network dynamics in tobacco leaf epidermal cells, we examine these processes on ER network dynamics. Away from regions of cytoplasmic streaming, we suggest that the dynamic network structure is a balance between the two processes, and we build an integrative model of the two processes for network remodeling. This model produces quantitatively similar ER networks to those observed in experiments. We use the model to explore the effect of parameter variation on statistical properties of the ER network.

Indexed as

Models, BiologicalAgrobacteriumCytoplasmic StreamingEndoplasmic ReticulumGreen Fluorescent ProteinsLuminescent ProteinsMicroscopy, ConfocalNicotianaPlant CellsPlant LeavesRed Fluorescent ProteinSingle-Cell AnalysisTransformation, GeneticGreen Fluorescent ProteinsLuminescent ProteinsRed Fluorescent Protein

Identifiers

PMID28700920
PMCPMC5510808

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.