↓ Skip to main content

PTEN

Overview of attention for book
Attention for Chapter 15: Methods for PTEN in Stem Cells and Cancer Stem Cells
Altmetric Badge

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 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
Methods for PTEN in Stem Cells and Cancer Stem Cells
Chapter number 15
Book title
PTEN
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3299-3_15
Pubmed ID
Book ISBNs
978-1-4939-3297-9, 978-1-4939-3299-3
Authors

Suzanne Schubbert, Jing Jiao, Marcus Ruscetti, Jonathan Nakashima, Shumin Wu, Hong Lei, Qinzhi Xu, Wenkai Yi, Haichuan Zhu, Hong Wu

Abstract

PTEN (phosphatase and tensin homologue) is the first tumor suppressor identified to have phosphatase activity and its gene is the second most frequently deleted or mutated tumor-suppressor gene associated with human cancers. Germline PTEN mutations are the cause of three inherited autosomal dominant disorders. Phosphatidylinositol 3,4,5,-triphosphate (PIP3), the product of the PI3 kinase, is one of the key intracellular targets of PTEN's phosphatase activity, although PTEN's phosphatase-independent activities have also been identified. PTEN is critical for stem cell maintenance, which contributes to its controlled tumorigenesis. PTEN loss leads the development of cancer stem cells (CSCs) that share properties with somatic stem cells, including the capacity for self-renewal and multi-lineage differentiation. Methods to isolate and functionally test stem cells and CSCs are important for understanding PTEN functions and the development of therapeutic approaches to target CSCs without having adverse effects on normal stem cells. Here, we describe protocols for the isolation and functional analysis of PTEN deficient embryonic stem cells, hematopoietic stem cells and leukemia-initiating cells (LICs), neural stem cells, and prostate stem cells and CSCs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Bachelor 2 22%
Lecturer 1 11%
Professor > Associate Professor 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Medicine and Dentistry 3 33%
Biochemistry, Genetics and Molecular Biology 2 22%
Agricultural and Biological Sciences 1 11%
Environmental Science 1 11%
Unknown 2 22%