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Plant Iron Homeostasis

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Cover of 'Plant Iron Homeostasis'

Table of Contents

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    Book Overview
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    Chapter 1 High-Throughput Plant Gene Expression Analysis by 384-Format Reverse Transcription-Quantitative PCR for Investigating Plant Iron Homeostasis.
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    Chapter 2 The Use of Spectral Imaging to Follow the Iron and pH-Dependent Accumulation of Fluorescent Coumarins.
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    Chapter 3 Assay of Fe(III) Chelate Reductase Activity in Arabidopsis thaliana Root.
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    Chapter 4 An Adapted Protocol for Quantitative Rhizosphere Acidification Assay.
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    Chapter 5 Techniques to Study Common Root Responses to Beneficial Microbes and Iron Deficiency.
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    Chapter 6 Imaging and Quantifying the Endocytosis of IRON-REGULATED TRANSPORTER1 from Arabidopsis.
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    Chapter 7 Label-Free Quantitative Proteomics in Plant.
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    Chapter 8 Chromatin Immunoprecipitation (ChIP) to Study the Transcriptional Regulatory Network that Controls Iron Homeostasis in Arabidopsis thaliana.
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    Chapter 9 Comprehensive Survey of ChIP-Seq Datasets to Identify Candidate Iron Homeostasis Genes Regulated by Chromatin Modifications.
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    Chapter 10 Arabidopsis Micro-grafting to Study the Systemic Signaling of Nutrient Status
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    Chapter 11 Advances in Iron Retrograde Signaling Mechanisms and Uptake Regulation in Photosynthetic Organisms.
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    Chapter 12 Functional Analysis of Chloroplast Iron Uptake and Homeostasis.
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    Chapter 13 Perls/DAB Staining to Examine Iron Distribution in Arabidopsis Embryos
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    Chapter 14 Visualizing Metal Distribution in Plants Using Synchrotron X-Ray Fluorescence Microscopy Techniques
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    Chapter 15 A Simple Semi-hydroponic System for Studying Iron Homeostasis in Maize.
  17. Altmetric Badge
    Chapter 16 Optimizing Fe Nutrition for Algal Growth.
Attention for Chapter 6: Imaging and Quantifying the Endocytosis of IRON-REGULATED TRANSPORTER1 from Arabidopsis.
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Chapter title
Imaging and Quantifying the Endocytosis of IRON-REGULATED TRANSPORTER1 from Arabidopsis.
Chapter number 6
Book title
Plant Iron Homeostasis
Published in
Methods in molecular biology, January 2023
DOI 10.1007/978-1-0716-3183-6_6
Pubmed ID
Book ISBNs
978-1-07-163182-9, 978-1-07-163183-6
Authors

Spielmann, Julien, Neveu, Julie, Vert, Grégory

Abstract

Iron plays an essential role in plant metabolism and the regulation of its transport is essential for the plant. In Arabidopsis thaliana, iron uptake in root epidermal cells is mediated by the IRT1 (IRON-REGULATED TRANSPORTER 1) broad-spectrum transporter. The regulation of the IRT1 protein is controlled by sophisticated mechanisms that allow it to fine-tune the amount of transporter found at the plasma membrane and to modulate the uptake of iron and divalent metals transported by IRT1. IRT1 shows low selectivity and transports different metals such as manganese, zinc, cobalt, and cadmium. An excess of these non-iron metal substrates of IRT1 is toxic for the plant. The ability of plants to adapt to non-iron metal stress is based on the sensing of their excess, leading to the internalization and degradation of IRT1. IRT1 acts as a bifunctional transporter/receptor directly sensing metal non-iron excess and then undergoes a series of post-translational modifications of the protein culminating in its endocytosis and vacuolar degradation. To monitor the intracellular dynamics of IRT1, we describe in this chapter a live cell imaging approach to follow and quantify IRT1-mCitrine trafficking from the plasma membrane to the vacuole.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Researcher 1 25%
Student > Doctoral Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 50%
Unspecified 1 25%
Unknown 1 25%
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 11 May 2023.
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#21,074,123
of 25,884,216 outputs
Outputs from Methods in molecular biology
#9,162
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Outputs of similar age
#356,462
of 481,169 outputs
Outputs of similar age from Methods in molecular biology
#537
of 714 outputs
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