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Root Development

Overview of attention for book
Cover of 'Root Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Measuring Plant Root Traits Under Controlled and Field Conditions: Step-by-Step Procedures
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    Chapter 2 Phenotyping Crop Root Crowns: General Guidance and Specific Protocols for Maize, Wheat, and Soybean
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    Chapter 3 Developmental Analysis of Arabidopsis Root Meristem
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    Chapter 4 Genetic and Phenotypic Analysis of Lateral Root Development in Arabidopsis thaliana
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    Chapter 5 Adapting the Lateral Root-Inducible System to Medicago truncatula
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    Chapter 6 Characterization of Root Epidermal Cell Patterning and Differentiation in Arabidopsis
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    Chapter 7 In Vitro Assay for Induction of Adventitious Rooting on Intact Arabidopsis Hypocotyls
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    Chapter 8 Root Gravitropism: Quantification, Challenges, and Solutions
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    Chapter 9 Calcium Ion Dynamics in Roots: Imaging and Analysis
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    Chapter 10 Optimized Whole-Mount In Situ Immunolocalization for Arabidopsis thaliana Root Meristems and Lateral Root Primordia
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    Chapter 11 Light Sheet Fluorescence Microscopy Optimized for Long-Term Imaging of Arabidopsis Root Development
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    Chapter 12 Histological Profiling Over Time to Optimize Root Cell Type-Specific Reporter Lines for Cell Sorting
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    Chapter 13 Long-Term In Vivo Imaging of Luciferase-Based Reporter Gene Expression in Arabidopsis Roots
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    Chapter 14 Cortical Cell Length Analysis During Gravitropic Root Growth
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    Chapter 15 Growth Rate Normalization Method to Assess Gravitropic Root Growth
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    Chapter 16 Immunoprecipitation of Membrane Proteins from Arabidopsis thaliana Root Tissue
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    Chapter 17 Monitoring Transcriptomic Changes in Soil-Grown Roots and Shoots of Arabidopsis thaliana Subjected to a Progressive Drought Stress
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    Chapter 18 Chromatin Immunoprecipitation Sequencing (ChIP-Seq) for Transcription Factors and Chromatin Factors in Arabidopsis thaliana Roots: From Material Collection to Data Analysis
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    Chapter 19 μChIP-Seq for Genome-Wide Mapping of In Vivo TF-DNA Interactions in Arabidopsis Root Protoplasts
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    Chapter 20 Proteome Analysis of Arabidopsis Roots
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    Chapter 21 Step-by-Step Construction of Gene Co-expression Networks from High-Throughput Arabidopsis RNA Sequencing Data
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    Chapter 22 GWA-Portal: Genome-Wide Association Studies Made Easy
Attention for Chapter 12: Histological Profiling Over Time to Optimize Root Cell Type-Specific Reporter Lines for Cell Sorting
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Chapter title
Histological Profiling Over Time to Optimize Root Cell Type-Specific Reporter Lines for Cell Sorting
Chapter number 12
Book title
Root Development
Published in
Methods in molecular biology, March 2018
DOI 10.1007/978-1-4939-7747-5_12
Pubmed ID
29525956
Book ISBNs
978-1-4939-7746-8, 978-1-4939-7747-5
Authors

Beatriz Lagunas, Liam Walker, Rana Muhammad Fraz Hussain, Ian Hands-Portman, Kate Woolley-Allen, Miriam L. Gifford

Abstract

Cell type-specific marker lines expressing fluorophores such as GFP or GUS can be used as starting material from which single cell types can be isolated by fluorescence-activated cell sorting (FACS) and/or for the study of root development. Establishing the stability of these lines is an essential step prior to further study to ensure that marker expression and localization is stable over time and during environmental perturbations of interest to researchers applying these lines as treatments. Here, we detail the use of root cross sectioning to investigate marker expression throughout the length and width of the root using the model legume Medicago truncatula as an example. In order to deal with the fact that plant cell walls are highly autofluorescent, we also describe the usage of confocal microscopy to conduct a lambda scan to discriminate autofluorescence from marker molecule expression.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 33%
Researcher 2 33%
Student > Ph. D. Student 1 17%
Student > Master 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 67%
Biochemistry, Genetics and Molecular Biology 1 17%
Environmental Science 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 March 2018.
All research outputs
#12,772,827
of 23,026,672 outputs
Outputs from Methods in molecular biology
#3,173
of 13,170 outputs
Outputs of similar age
#155,322
of 332,625 outputs
Outputs of similar age from Methods in molecular biology
#15
of 64 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% of its peers.
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 332,625 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.

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