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Yeast as a Tool in Cancer Research

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Cover of 'Yeast as a Tool in Cancer Research'

Table of Contents

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    Book Overview
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    Chapter 1 From DNA Replication to Genome Instability in Schizosaccharomyces Pombe : Pathways to Cancer
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    Chapter 2 Dissecting Layers of Mitotic Regulation Essential for Maintaining Genomic Stability
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    Chapter 3 Yeast as a Tool in Cancer Research: Nuclear Trafficking
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    Chapter 4 Studies of Protein Farnesylation in Yeast
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    Chapter 5 Yeast as a Tool in Cancer Research
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    Chapter 6 HSP90 Co-Chaperones in Saccharomyces Cerevisiae
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    Chapter 7 Yeast as a Model System for Studying Cell Cycle Checkpoints
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    Chapter 8 Metabolism and Function of Sphingolipids in Saccharomyces Cerevisiae : Relevance to Cancer Research
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    Chapter 9 Exploring and Restoring the p53 Pathway Using the p53 Dissociator Assay in Yeast
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    Chapter 10 Functional Analysis of the Human p53 Tumor Suppressor and its Mutants Using Yeast
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    Chapter 11 ABC Transporters in Yeast – Drug Resistance and Stress Response in a Nutshell
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    Chapter 12 The FHCRC/NCI Yeast Anticancer Drug Screen
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    Chapter 13 Yeast as a Tool in Cancer Research
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    Chapter 14 Use of Yeast as a Model System for Identifying and Studying Anticancer Drugs
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    Chapter 15 Genetic Analysis of Cisplatin Resistance in Yeast and Mammals
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    Chapter 16 Using Yeast Tools to Dissect the Action of Anticancer Drugs: Mechanisms of Enzyme Inhibition and Cell Killing by Agents Targeting DNA Topoisomerases
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Mentioned by

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Citations

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Readers on

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31 Mendeley
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Title
Yeast as a Tool in Cancer Research
Published by
Springer Nature, January 2007
DOI 10.1007/978-1-4020-5963-6
ISBNs
978-1-4020-5962-9, 978-1-4020-5963-6
Editors

Nitiss, John L., Heitman, Joseph

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 %
United States 1 3%
India 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 26%
Researcher 6 19%
Student > Bachelor 5 16%
Student > Master 3 10%
Professor 2 6%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 29%
Biochemistry, Genetics and Molecular Biology 8 26%
Arts and Humanities 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Business, Management and Accounting 1 3%
Other 6 19%
Unknown 5 16%