↓ Skip to main content

Unconventional Protein Secretion

Overview of attention for book
Cover of 'Unconventional Protein Secretion'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 ER to Golgi-Dependent Protein Secretion: The Conventional Pathway
  3. Altmetric Badge
    Chapter 2 Unconventional Protein Secretion
  4. Altmetric Badge
    Chapter 3 Unconventional Protein Secretion
  5. Altmetric Badge
    Chapter 4 Chemical Secretory Pathway Modulation in Plant Protoplasts
  6. Altmetric Badge
    Chapter 5 From Cytosol to the Apoplast: The Hygromycin Phosphotransferase (HYGR) Model in Arabidopsis
  7. Altmetric Badge
    Chapter 6 Unconventional Protein Secretion
  8. Altmetric Badge
    Chapter 7 Unconventional Protein Secretion
  9. Altmetric Badge
    Chapter 8 Quantification of a Non-conventional Protein Secretion: The Low-Molecular-Weight FGF-2 Example
  10. Altmetric Badge
    Chapter 9 Human Primary Keratinocytes as a Tool for the Analysis of Caspase-1-Dependent Unconventional Protein Secretion
  11. Altmetric Badge
    Chapter 10 A Reporter System to Study Unconventional Secretion of Proteins Avoiding N-Glycosylation in Ustilago maydis
  12. Altmetric Badge
    Chapter 11 Stress-Inducible Protein 1 (STI1): Extracellular Vesicle Analysis and Quantification
  13. Altmetric Badge
    Chapter 12 Unconventional Protein Secretion
  14. Altmetric Badge
    Chapter 13 Unconventional Protein Secretion
  15. Altmetric Badge
    Chapter 14 Characterization of the Unconventional Secretion of the Ebola Matrix Protein VP40
  16. Altmetric Badge
    Chapter 15 Role and Characterization of Synuclein-γ Unconventional Protein Secretion in Cancer Cells
  17. Altmetric Badge
    Chapter 16 Unconventional Protein Secretion
  18. Altmetric Badge
    Chapter 17 Unconventional Protein Secretion
  19. Altmetric Badge
    Chapter 18 Isolation of Exosome-Like Vesicles from Plants by Ultracentrifugation on Sucrose/Deuterium Oxide (D2O) Density Cushions
Attention for Chapter 12: Unconventional Protein Secretion
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Readers on

mendeley
65 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
Unconventional Protein Secretion
Chapter number 12
Book title
Unconventional Protein Secretion
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3804-9_12
Pubmed ID
Book ISBNs
978-1-4939-3802-5, 978-1-4939-3804-9
Authors

Rodrigues, Marcio L, Oliveira, Debora L, Vargas, Gabriele, Girard-Dias, Wendell, Franzen, Anderson J, Frasés, Susana, Miranda, Kildare, Nimrichter, Leonardo, Marcio L. Rodrigues, Debora L. Oliveira, Gabriele Vargas, Wendell Girard-Dias, Anderson J. Franzen, Susana Frasés, Kildare Miranda, Leonardo Nimrichter

Editors

Andrea Pompa, Francesca De Marchis

Abstract

Extracellular vesicles (EV) are important carriers of biologically active components in a number of organisms, including fungal cells. Experimental characterization of fungal EVs suggested that these membranous compartments are likely involved in the regulation of several biological events. In fungal pathogens, these events include mechanisms of disease progression and/or control, suggesting potential targets for therapeutic intervention or disease prophylaxis. In this manuscript we describe methods that have been used in the last 10 years for the characterization of EVs produced by yeast forms of several fungal species. Experimental approaches detailed in this chapter include ultracentrifugation methods for EV fractionation, chromatographic approaches for analysis of EV lipids, microscopy techniques for analysis of both intracellular and extracellular vesicular compartments, interaction of EVs with host cells, and physical chemical analysis of EVs by dynamic light scattering.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Brazil 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 11 17%
Student > Master 7 11%
Student > Bachelor 6 9%
Student > Postgraduate 6 9%
Other 9 14%
Unknown 12 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 28%
Biochemistry, Genetics and Molecular Biology 17 26%
Immunology and Microbiology 6 9%
Engineering 3 5%
Medicine and Dentistry 2 3%
Other 5 8%
Unknown 14 22%
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 01 October 2016.
All research outputs
#13,182,077
of 23,342,232 outputs
Outputs from Methods in molecular biology
#3,359
of 13,338 outputs
Outputs of similar age
#181,297
of 396,193 outputs
Outputs of similar age from Methods in molecular biology
#312
of 1,474 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,338 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 396,193 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 53% of its contemporaries.
We're also able to compare this research output to 1,474 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.