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Microfluidic Methods for Molecular Biology

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Microfluidic Methods for Molecular Biology

Chang Lu, Scott S. Verbridge

Springer
Publication date : 2016-05-14

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This book covers the state-of-the-art research on molecular biology assays and molecular techniques enabled or enhanced by microfluidic platforms. Topics covered include microfluidic methods for cellular separations and single cell studies, droplet-based approaches to study protein expression and forensics, and microfluidic in situ hybridization for RNA analysis. Key molecular biology studies using model organisms are reviewed in detail. This is an ideal book for students and researchers in the microfluidics and molecular biology fields as well as engineers working in the biotechnology industry.

This book also:

Reviews exhaustively the latest techniques for single-cell genetic, epigenetic, metabolomic, and proteomic analysis
Illustrates microfluidic approaches for inverse metabolic engineering, as well as analysis of circulating exosomes
Broadens readers’ understanding of microfluidics convection-based PCRtechnology, microfluidic RNA-seq, and microfluidics for robust mobile diagnostics

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About the book

Author

Chang Lu , Scott S. Verbridge

Imprint

Springer

Collection

n.c

Publication date

2016-05-14

Pages

376 pages

Print ISBN

9783319300177

Language

English

Ebook informations

EAN EPUB

9783319300191

Price

£129.50

Copy count 3

Print count 37

File size 9175 Ko

Informations accessibility

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About author(s)

Chang Lu

Scott S. Verbridge

Chang Lu is a Professor of Chemical Engineering at Virginia Tech. His research focuses on developing microfluidic biotechnologies for cellular and molecular analysis with recent emphasis on low-input epigenomic studies. Scott Verbridge is an Assistant Professor in the Virginia Tech Department of Biomedical Engineering and Mechanics, and the Virginia Tech - Wake Forest School of Biomedical Engineering and Sciences. His research is focused on developing engineered tumor models to better understand cell-microenvironment interactions, and their impact on tumor progression and therapy response.

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