Evidence map›Paper›PMID 31280334›Full record

ArticleJournal of mathematical biology2019

Spatiotemporal dynamics of a reaction-diffusion model of pollen tube tip growth.

Chenwei Tian, Qingyan Shi, Xinping Cui, Jingzhe Guo, Zhenbiao Yang, Junping Shi

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Electrifying rhythms in plant cells.Current opinion in cell biology · 2022
    Review
  4. Article
  5. Review
  6. Review
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

6 authors.

Chenwei TianDepartment of Statistics, University of California, Riverside, CA, 92521, USA.
Qingyan ShiDepartment of Mathematics, College of William and Mary, Williamsburg, VA, 23187-8795, USA.
Xinping CuiDepartment of Statistics, University of California, Riverside, CA, 92521, USA.
Jingzhe GuoDepartment of Botany and Plant Sciences, Center for Plant Cell Biology, University of California, Riverside, CA, 92521, USA.
Zhenbiao YangDepartment of Botany and Plant Sciences, Center for Plant Cell Biology, University of California, Riverside, CA, 92521, USA.
Junping ShiDepartment of Mathematics, College of William and Mary, Williamsburg, VA, 23187-8795, USA. jxshix@wm.edu.ORCID 0000-0003-2521-9378

Funding

Request for An Integrated Confocal-Atomic Force Microscopy SystemR01GM100130 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CUI, YONGTAO · 2012 to 2020
$1.9M
Directorate for Mathematical and Physical Sciences ATD-1222718NIGMS NIH HHS GM100130University of California, Riverside AES-CE RSAP A01869
6 · The paper itself

Abstract

A reaction-diffusion model is proposed to describe the mechanisms underlying the spatial distributions of ROP1 and calcium on the pollen tube tip. The model assumes that the plasma membrane ROP1 activates itself through positive feedback loop, while the cytosolic calcium ions inhibit ROP1 via a negative feedback loop. Furthermore it is proposed that lateral movement of molecules on the plasma membrane are depicted by diffusion. It is shown that bistable or oscillatory dynamics could exist even in the non-spatial model, and stationary and oscillatory spatiotemporal patterns are found in the full spatial model which resemble the experimental data of pollen tube tip growth.

Indexed as

Models, TheoreticalSpatio-Temporal AnalysisArabidopsisArabidopsis ProteinsCalciumPollen TubeSignal TransductionArabidopsis ProteinsCalciumOscillationPollen tube tip growthReaction-diffusion modelSpatiotemporal patterns

Identifiers

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.