More Insights from Ultrastructural and Functional Plasmodesmata Data Using PDinsight

Eva E. Deinum*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

PDinsight is a Python-based tool for computing effective wall permeability for symplasmic transport based on plasmodesma (PD) size and distribution data. PDinsight can be used for direct computation of such permeabilities if full data is available, as well as in an explorative way if some data is either not available or considered unreliable. In this chapter, we briefly describe the basic model underlying the PDinsight calculations and discuss how the different modes of PDinsight can be used in relation to typical research questions. We also offer advice on choosing appropriate values for diffusion coefficients and particle size based on the currently most used experimental probes.

Original languageEnglish
Title of host publicationPlasmodesmata
EditorsY. Benitez-Alfonso, M. Heinlein
Place of PublicationNew York
PublisherHumana Press
Pages443-456
Number of pages14
ISBN (Electronic)9781071621325
ISBN (Print)9781071621318
DOIs
Publication statusPublished - 30 Mar 2022

Publication series

NameMethods in Molecular Biology
Volume2457
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Effective wall permeability
  • Modeling plasmodesmata
  • Plasmodesmata geometries
  • Symplasmic transport predictions

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