↓ Skip to main content

Plant Pathogenic Fungi and Oomycetes

Overview of attention for book
Cover of 'Plant Pathogenic Fungi and Oomycetes'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Quantifying Re-association of a Facultative Endohyphal Bacterium with a Filamentous Fungus
  3. Altmetric Badge
    Chapter 2 Characterizing Mycoviruses
  4. Altmetric Badge
    Chapter 3 Analysis of Secondary Metabolites from Plant Endophytic Fungi
  5. Altmetric Badge
    Chapter 4 Protocols for Investigating the Leaf Mycobiome Using High-Throughput DNA Sequencing
  6. Altmetric Badge
    Chapter 5 Characterizing Small RNAs in Filamentous Fungi Using the Rice Blast Fungus, Magnaporthe oryzae , as an Example
  7. Altmetric Badge
    Chapter 6 Plant Small RNAs Responsive to Fungal Pathogen Infection
  8. Altmetric Badge
    Chapter 7 Sequential Phosphopeptide Enrichment for Phosphoproteome Analysis of Filamentous Fungi: A Test Case Using Magnaporthe oryzae
  9. Altmetric Badge
    Chapter 8 Assays for MAP Kinase Activation in Magnaporthe oryzae and Other Plant Pathogenic Fungi
  10. Altmetric Badge
    Chapter 9 Visualizing the Movement of Magnaporthe oryzae Effector Proteins in Rice Cells During Infection
  11. Altmetric Badge
    Chapter 10 Illuminating Phytophthora Biology with Fluorescent Protein Tags
  12. Altmetric Badge
    Chapter 11 Methods for Transient Gene Expression in Wild Relatives of Potato
  13. Altmetric Badge
    Chapter 12 Host-Induced Gene Silencing (HIGS) for Elucidating Puccinia Gene Function in Wheat
  14. Altmetric Badge
    Chapter 13 From Short Reads to Chromosome-Scale Genome Assemblies
  15. Altmetric Badge
    Chapter 14 BLASTmap: A Shiny-Based Application to Visualize BLAST Results as Interactive Heat Maps and a Tool to Design Gene-Specific Baits for Bespoke Target Enrichment Sequencing
  16. Altmetric Badge
    Chapter 15 A Computational Protocol to Analyze Metatranscriptomic Data Capturing Fungal–Host Interactions
  17. Altmetric Badge
    Chapter 16 Application of the Cre/lox System to Construct Auxotrophic Markers for Quantitative Genetic Analyses in Fusarium graminearum
  18. Altmetric Badge
    Chapter 17 Protocol of Phytophthora capsici Transformation Using the CRISPR-Cas9 System
  19. Altmetric Badge
    Chapter 18 Generating Gene Silenced Mutants in Phytophthora sojae
Attention for Chapter 7: Sequential Phosphopeptide Enrichment for Phosphoproteome Analysis of Filamentous Fungi: A Test Case Using Magnaporthe oryzae
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
18 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
Sequential Phosphopeptide Enrichment for Phosphoproteome Analysis of Filamentous Fungi: A Test Case Using Magnaporthe oryzae
Chapter number 7
Book title
Plant Pathogenic Fungi and Oomycetes
Published in
Methods in molecular biology, September 2018
DOI 10.1007/978-1-4939-8724-5_7
Pubmed ID
Book ISBNs
978-1-4939-8723-8, 978-1-4939-8724-5
Authors

Yeonyee Oh, William L. Franck, Ralph A. Dean, Oh, Yeonyee, Franck, William L., Dean, Ralph A.

Abstract

A number of challenges have to be overcome to identify a complete complement of phosphorylated proteins, the phosphoproteome, from cells and tissues. Phosphorylated proteins are typically of low abundance and moreover, the proportion of phosphorylated sites on a given protein is generally low. The challenge is further compounded when the tissue from which protein can be recovered is limited. Global phosphoproteomics primarily relies on efficient enrichment methods for phosphopeptides involving affinity binding coupled with analysis by fast high-resolution mass spectrometry (MS) and subsequent identification using various software packages. Here, we describe an effective protocol for phosphopeptide enrichment using an Iron-IMAC resin in combination with titanium dioxide (TiO2) beads from trypsin digested protein samples of the filamentous fungus Magnaporthe oryzae. Representative protocols for LC-MS/MS analysis and phosphopeptide identification are also described.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Unspecified 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 7 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 17%
Unspecified 2 11%
Biochemistry, Genetics and Molecular Biology 2 11%
Medicine and Dentistry 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 8 44%
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 10 September 2018.
All research outputs
#17,989,170
of 23,102,082 outputs
Outputs from Methods in molecular biology
#7,315
of 13,208 outputs
Outputs of similar age
#240,935
of 335,873 outputs
Outputs of similar age from Methods in molecular biology
#136
of 247 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,208 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 335,873 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 247 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.