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Multi-Parametric Live Cell Microscopy of 3D Tissue Models

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Attention for Chapter 7: Imaging of Intracellular pH in Tumor Spheroids Using Genetically Encoded Sensor SypHer2
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Chapter title
Imaging of Intracellular pH in Tumor Spheroids Using Genetically Encoded Sensor SypHer2
Chapter number 7
Book title
Multi-Parametric Live Cell Microscopy of 3D Tissue Models
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-3-319-67358-5_7
Pubmed ID
Book ISBNs
978-3-31-967357-8, 978-3-31-967358-5
Authors

Elena V. Zagaynova, Irina N. Druzhkova, Natalia M. Mishina, Nadezhda I. Ignatova, Varvara V. Dudenkova, Marina V. Shirmanova

Abstract

Intracellular pH (pHi) is one of the most important parameters that regulate the physiological state of cells and tissues. pHi homeostasis is crucial for normal cell functioning. Cancer cells are characterized by having a higher (neutral to slightly alkaline) pHi and lower (acidic) extracellular pH (pHe) compared to normal cells. This is referred to as a "reversed" pH gradient, and is essential in supporting their accelerated growth rate, invasion and migration, and in suppressing anti-tumor immunity, the promotion of metabolic coupling with fibroblasts and in preventing apoptosis. Moreover, abnormal pH, both pHi and pHe, contribute to drug resistance in cancers. Therefore, the development of methods for measuring pH in living tumor cells is likely to lead to better understanding of tumor biology and to open new ways for cancer treatment. Genetically encoded, fluorescent, pH-sensitive probes represent promising instruments enabling the subcellular measurement of pHi with unrivaled specificity and high accuracy. Here, we describe a protocol for pHi imaging at a microscopic level in HeLa tumor spheroids, using the genetically encoded ratiometric (dual-excitation) pHi indicator, SypHer2.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Student > Ph. D. Student 3 18%
Other 2 12%
Student > Master 2 12%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 12%
Agricultural and Biological Sciences 2 12%
Medicine and Dentistry 2 12%
Immunology and Microbiology 1 6%
Physics and Astronomy 1 6%
Other 1 6%
Unknown 8 47%