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Lysosomes

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Cover of 'Lysosomes'

Table of Contents

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    Book Overview
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    Chapter 1 SILAC-Based Comparative Proteomic Analysis of Lysosomes from Mammalian Cells Using LC-MS/MS. - PubMed - NCBI
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    Chapter 2 Quantitative Profiling of Lysosomal Lipidome by Shotgun Lipidomics
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    Chapter 3 Analysis of N- and O-Glycosylation of Lysosomal Glycoproteins
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    Chapter 4 Analyzing Lysosome-Related Organelles by Electron Microscopy
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    Chapter 5 Microscopic Analysis of Lysosomal Membrane Permeabilization
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    Chapter 6 Quantitative Co-Localization and Pattern Analysis of Endo-Lysosomal Cargo in Subcellular Image Cytometry and Validation on Synthetic Image Sets
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    Chapter 7 Preparation of a Two-Photon Fluorescent Probe for Imaging H2O2 in Lysosomes in Living Cells and Tissues
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    Chapter 8 Lysophagy: A Method for Monitoring Lysosomal Rupture Followed by Autophagy-Dependent Recovery
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    Chapter 9 Delivery of Cargo to Lysosomes Using GNeosomes
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    Chapter 10 Lysosomal Acidification in Cultured Astrocytes Using Nanoparticles
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    Chapter 11 Analysis of Lysosomal pH by Flow Cytometry Using FITC-Dextran Loaded Cells
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    Chapter 12 Detection of Lysosomal Exocytosis in Platelets by Flow Cytometry
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    Chapter 13 Detection of Lysosomal Exocytosis by Surface Exposure of Lamp1 Luminal Epitopes
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    Chapter 14 Using the MEROPS Database for Investigation of Lysosomal Peptidases, Their Inhibitors, and Substrates
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    Chapter 15 Next-Generation Sequencing Approaches to Define the Role of the Autophagy Lysosomal Pathway in Human Disease: The Example of LysoPlex
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    Chapter 16 Gelatin Zymography Using Leupeptin for the Detection of Various Cathepsin L Forms
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    Chapter 17 Methods for Determination of α-Glycosidase, β-Glycosidase, and α-Galactosidase Activities in Dried Blood Spot Samples
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    Chapter 18 Prenatal Diagnosis of Lysosomal Storage Disorders Using Chorionic Villi
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    Chapter 19 Lysosomal Biology in Cancer
Attention for Chapter 11: Analysis of Lysosomal pH by Flow Cytometry Using FITC-Dextran Loaded Cells
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Chapter title
Analysis of Lysosomal pH by Flow Cytometry Using FITC-Dextran Loaded Cells
Chapter number 11
Book title
Lysosomes
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-6934-0_11
Pubmed ID
Book ISBNs
978-1-4939-6932-6, 978-1-4939-6934-0
Authors

Ida Eriksson, Karin Öllinger, Hanna Appelqvist

Editors

Karin Öllinger, Hanna Appelqvist

Abstract

The acidic environment of the lysosomal lumen provides an optimal milieu for the acid hydrolases and is also essential for fusion/fission of endo-lysosomal compartments and sorting of cargo. Evidence suggests that maintaining lysosomal acidity is essential to avoid disease. In this chapter, we describe a protocol for analyzing the lysosomal pH in cultured cells using the fluorescent probe fluorescein isothiocyanate (FITC)-dextran together with a dual-emission ratiometric technique suitable for flow cytometry. Fluorescence-labeled dextran is endocytosed and accumulated in the lysosomal compartment. FITC shows a pH-dependent variation in fluorescence when analyzed at maximum emission wavelength and no variation when analyzing at the isosbestic point, thereby the ratio can be used to determine the lysosomal pH. A standard curve is obtained by equilibrating intralysosomal pH with extracellular pH using the ionophore nigericin. The protocol also includes information regarding procedures to induce lysosomal alkalinization and lysosomal membrane permeabilization.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Bachelor 5 16%
Professor 1 3%
Other 1 3%
Student > Master 1 3%
Other 1 3%
Unknown 15 48%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 32%
Agricultural and Biological Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 16 52%