↓ Skip to main content

Lysosomes

Overview of attention for book
Cover of 'Lysosomes'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 SILAC-Based Comparative Proteomic Analysis of Lysosomes from Mammalian Cells Using LC-MS/MS. - PubMed - NCBI
  3. Altmetric Badge
    Chapter 2 Quantitative Profiling of Lysosomal Lipidome by Shotgun Lipidomics
  4. Altmetric Badge
    Chapter 3 Analysis of N- and O-Glycosylation of Lysosomal Glycoproteins
  5. Altmetric Badge
    Chapter 4 Analyzing Lysosome-Related Organelles by Electron Microscopy
  6. Altmetric Badge
    Chapter 5 Microscopic Analysis of Lysosomal Membrane Permeabilization
  7. Altmetric Badge
    Chapter 6 Quantitative Co-Localization and Pattern Analysis of Endo-Lysosomal Cargo in Subcellular Image Cytometry and Validation on Synthetic Image Sets
  8. Altmetric Badge
    Chapter 7 Preparation of a Two-Photon Fluorescent Probe for Imaging H2O2 in Lysosomes in Living Cells and Tissues
  9. Altmetric Badge
    Chapter 8 Lysophagy: A Method for Monitoring Lysosomal Rupture Followed by Autophagy-Dependent Recovery
  10. Altmetric Badge
    Chapter 9 Delivery of Cargo to Lysosomes Using GNeosomes
  11. Altmetric Badge
    Chapter 10 Lysosomal Acidification in Cultured Astrocytes Using Nanoparticles
  12. Altmetric Badge
    Chapter 11 Analysis of Lysosomal pH by Flow Cytometry Using FITC-Dextran Loaded Cells
  13. Altmetric Badge
    Chapter 12 Detection of Lysosomal Exocytosis in Platelets by Flow Cytometry
  14. Altmetric Badge
    Chapter 13 Detection of Lysosomal Exocytosis by Surface Exposure of Lamp1 Luminal Epitopes
  15. Altmetric Badge
    Chapter 14 Using the MEROPS Database for Investigation of Lysosomal Peptidases, Their Inhibitors, and Substrates
  16. Altmetric Badge
    Chapter 15 Next-Generation Sequencing Approaches to Define the Role of the Autophagy Lysosomal Pathway in Human Disease: The Example of LysoPlex
  17. Altmetric Badge
    Chapter 16 Gelatin Zymography Using Leupeptin for the Detection of Various Cathepsin L Forms
  18. Altmetric Badge
    Chapter 17 Methods for Determination of α-Glycosidase, β-Glycosidase, and α-Galactosidase Activities in Dried Blood Spot Samples
  19. Altmetric Badge
    Chapter 18 Prenatal Diagnosis of Lysosomal Storage Disorders Using Chorionic Villi
  20. Altmetric Badge
    Chapter 19 Lysosomal Biology in Cancer
Attention for Chapter 6: Quantitative Co-Localization and Pattern Analysis of Endo-Lysosomal Cargo in Subcellular Image Cytometry and Validation on Synthetic Image Sets
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
16 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
Quantitative Co-Localization and Pattern Analysis of Endo-Lysosomal Cargo in Subcellular Image Cytometry and Validation on Synthetic Image Sets
Chapter number 6
Book title
Lysosomes
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6934-0_6
Pubmed ID
Book ISBNs
978-1-4939-6932-6, 978-1-4939-6934-0
Authors

Lund, Frederik W, Wüstner, Daniel, Frederik W. Lund, Daniel Wüstner

Editors

Karin Öllinger, Hanna Appelqvist

Abstract

Late endosomes and lysosomes (LE/LYSs) play a central role in trafficking of endocytic cargo, secretion of exosomes, and hydrolysis of ingested proteins and lipids. Failure in such processes can lead to lysosomal storage disorders in which a particular metabolite accumulates within LE/LYSs. Analysis of endocytic trafficking relies heavily on quantitative fluorescence microscopy, but evaluation of the huge image data sets is challenging and demands computer-assisted statistical tools. Here, we describe how to use SpatTrack ( www.sdu.dk/bmb/spattrack ), an imaging toolbox, which we developed for quantification of the distribution and dynamics of endo-lysosomal cargo from fluorescence images of living cells. First, we explain how to analyze experimental images of endocytic processes in Niemann Pick C2 disease fibroblasts using SpatTrack. We demonstrate how to quantify the location of the sterol-binding protein NPC2 in LE/LYSs relative to cholesterol -rich lysosomal storage organelles (LSOs) stained with filipin. Second, we show how to simulate realistic vesicle patterns in the cell geometry using Markov Chain Monte Carlo and suitable inter-vesicle and cell-vesicle interaction potentials. Finally, we use such synthetic vesicle patterns as "ground truth" for validation of two-channel analysis tools in SpatTrack, revealing their high reliability. An improved version of SpatTrack for microscopy-based quantification of cargo transport through the endo-lysosomal system accompanies this protocol.

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 44%
Researcher 2 13%
Student > Bachelor 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Other 0 0%
Unknown 3 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Agricultural and Biological Sciences 3 19%
Medicine and Dentistry 3 19%
Decision Sciences 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 3 19%
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 01 May 2017.
All research outputs
#20,418,183
of 22,968,808 outputs
Outputs from Methods in molecular biology
#9,923
of 13,142 outputs
Outputs of similar age
#356,012
of 421,088 outputs
Outputs of similar age from Methods in molecular biology
#842
of 1,074 outputs
Altmetric has tracked 22,968,808 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 13,142 research outputs from this source. They receive a mean Attention Score of 3.4. 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 421,088 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 1,074 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.