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MicroRNA and Cancer

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Cover of 'MicroRNA and Cancer'

Table of Contents

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    Book Overview
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    Chapter 1 MicroRNA Biogenesis and Cancer
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    Chapter 2 Computational Identification of miRNAs Involved in Cancer
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    Chapter 3 The Principles of MiRNA-Masking Antisense Oligonucleotides Technology
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    Chapter 4 The Concept of Multiple-Target Anti-miRNA Antisense Oligonucleotide Technology
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    Chapter 5 Modulation of MicroRNAs for Potential Cancer Therapeutics
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    Chapter 6 Detection of MicroRNAs in Cultured Cells and Paraffin-Embedded Tissue Specimens by In Situ Hybridization
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    Chapter 7 MicroRNA Northern Blotting, Precursor Cloning, and Ago2-Improved RNA Interference
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    Chapter 8 miRNA Profiling on High-Throughput OpenArray™ System
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    Chapter 9 Silicon Nanowire Biosensor for Ultrasensitive and Label-Free Direct Detection of miRNAs
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    Chapter 10 High-Throughput and Reliable Protocols for Animal MicroRNA Library Cloning
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    Chapter 11 MicroRNA Regulation of Growth Factor Receptor Signaling in Human Cancer Cells
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    Chapter 12 Epigenetic Regulation of MicroRNA Expression in Cancer
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    Chapter 13 In Vitro Functional Study of miR-126 in Leukemia
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    Chapter 14 Prediction of the Biological Effect of Polymorphisms Within MicroRNA Binding Sites
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    Chapter 15 The Guideline of the Design and Validation of MiRNA Mimics
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    Chapter 16 Analysis of Targets and Functions Coregulated by MicroRNAs
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    Chapter 17 Utilization of SSCprofiler to Predict a New miRNA Gene
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    Chapter 18 MicroRNA Profiling Using Fluorescence-Labeled Beads: Data Acquisition and Processing
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Mentioned by

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4 Wikipedia pages

Citations

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13 Mendeley
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Title
MicroRNA and Cancer
Published by
Humana Press, October 2010
DOI 10.1007/978-1-60761-863-8
ISBNs
978-1-60761-862-1, 978-1-60761-863-8
Editors

Wu, Wei

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 23%
Researcher 3 23%
Student > Ph. D. Student 2 15%
Student > Master 1 8%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 38%
Agricultural and Biological Sciences 2 15%
Immunology and Microbiology 1 8%
Medicine and Dentistry 1 8%
Unknown 4 31%