↓ Skip to main content

Plant Endosomes

Overview of attention for book
Cover of 'Plant Endosomes'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Use of FM Dyes to Analyze Plant Endocytosis
  3. Altmetric Badge
    Chapter 2 Sterol Dynamics During Endocytic Trafficking in Arabidopsis
  4. Altmetric Badge
    Chapter 3 Live Microscopy Analysis of Endosomes and Vesicles in Tip-Growing Root Hairs
  5. Altmetric Badge
    Chapter 4 Analysis of Fluid-Phase Endocytosis in (Intact) Plant Cells
  6. Altmetric Badge
    Chapter 5 Immunogold Labeling and Electron Tomography of Plant Endosomes
  7. Altmetric Badge
    Chapter 6 Investigating Protein–Protein Interactions in the Plant Endomembrane System Using Multiphoton-Induced FRET-FLIM
  8. Altmetric Badge
    Chapter 7 Analysis of Rab GTPase–Effector Interactions by Bimolecular Fluorescence Complementation
  9. Altmetric Badge
    Chapter 8 In Vivo Imaging of Brassinosteroid Endocytosis in Arabidopsis
  10. Altmetric Badge
    Chapter 9 Analysis of Prevacuolar Compartment-Mediated Vacuolar Proteins Transport
  11. Altmetric Badge
    Chapter 10 Evaluation of Defective Endosomal Trafficking to the Vacuole by Monitoring Seed Storage Proteins in Arabidopsis thaliana
  12. Altmetric Badge
    Chapter 11 Trans-species Complementation Analysis to Study Function Conservation of Plant Endosomal Sorting Complex Required for Transport (ESCRT) Proteins.
  13. Altmetric Badge
    Chapter 12 A Re-elicitation Assay to Correlate flg22-Signaling Competency with Ligand-Induced Endocytic Degradation of the FLS2 Receptor
  14. Altmetric Badge
    Chapter 13 Preparation of Enriched Plant Clathrin-Coated Vesicles by Differential and Density Gradient Centrifugation
  15. Altmetric Badge
    Chapter 14 Proteomics of Endosomal Compartments from Plants Case Study: Isolation of Trans -Golgi Network Vesicles
  16. Altmetric Badge
    Chapter 15 Analysis of global ubiquitylation and ubiquitin-binding domains involved in endosomal trafficking.
  17. Altmetric Badge
    Chapter 16 Analysis of Endocytosis and Ubiquitination of the BOR1 Transporter
  18. Altmetric Badge
    Chapter 17 Ubiquitination of Plant Immune Receptors
  19. Altmetric Badge
    Chapter 18 Ubiquitylation-Mediated Control of Polar Auxin Transport: Analysis of Arabidopsis PIN2 Auxin Transport Protein
  20. Altmetric Badge
    Chapter 19 Chemical genomics screening for biomodulators of endomembrane system trafficking.
  21. Altmetric Badge
    Chapter 20 Integrative Chemical Proteomics and Cell Biology Methods to Study Endocytosis and Vesicular Trafficking in Arabidopsis
Attention for Chapter 19: Chemical genomics screening for biomodulators of endomembrane system trafficking.
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Chemical genomics screening for biomodulators of endomembrane system trafficking.
Chapter number 19
Book title
Plant Endosomes
Published in
Methods in molecular biology, August 2014
DOI 10.1007/978-1-4939-1420-3_19
Pubmed ID
Book ISBNs
978-1-4939-1419-7, 978-1-4939-1420-3
Authors

Rubilar-Hernández C, Hicks GR, Norambuena L, Carlos Rubilar-Hernández, Glenn R. Hicks, Lorena Norambuena

Abstract

Cell proteins traffic through complex and tightly regulated pathways. Although the endomembrane system is essential, its different pathways are still not well understood. In order to dissect protein trafficking pathways, chemical genomic screenings have been performed. This strategy has been utilized to successfully discover bioactive chemicals with a specific cellular action and in most cases, tunable and reversible effects. Once the bioactive chemical is identified, further strategies can be used to find the target proteins that are important for functionality of trafficking pathways. This approach can be combined with the powerful genetic tools available for model organisms. Drug-hypersensitive and drug-resistant mutant isolation can lead to the identification of cellular pathways affected by a bioactive chemical and reveal its protein target(s). Here, we describe an approach to look for hypersensitive and resistant mutants to a specific bioactive chemical that affects protein trafficking in yeast. This approach can be followed and adapted to any other pathway or cellular process that can be screened phenotypically, serving as a guide for novel screens in yeast. More importantly, information provided by this approach can potentially be extrapolated to other organisms like plants. Thus, the method described can be of broad utility to plant biologists.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 60%
Computer Science 1 20%
Unspecified 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 August 2014.
All research outputs
#20,234,388
of 22,760,687 outputs
Outputs from Methods in molecular biology
#9,864
of 13,088 outputs
Outputs of similar age
#175,701
of 209,866 outputs
Outputs of similar age from Methods in molecular biology
#44
of 76 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 209,866 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.