© 2009

Cardiovascular Genomics

Methods and Protocols

  • Keith DiPetrillo

Part of the Methods in Molecular Biology™ book series (MIMB, volume 573)

Table of contents

  1. Front Matter
    Pages i-x
  2. Alan Daugherty, Hong Lu, Deborah A. Howatt, Debra L. Rateri
    Pages 1-15
  3. Minjie Feng, Keith DiPetrillo
    Pages 45-55
  4. David L. Mattson
    Pages 75-94
  5. Aysan Durukan, Turgut Tatlisumak
    Pages 95-114
  6. Jing Liu, Dean F. Rigel
    Pages 139-155
  7. Randy Smith, Keith Sheppard, Keith DiPetrillo, Gary Churchill
    Pages 175-188
  8. Yun Cheng, Arthur Berg, Song Wu, Yao Li, Rongling Wu
    Pages 189-212
  9. Shirng-Wern Tsaih, Ron Korstanje
    Pages 213-222
  10. Jonathan B. Singer
    Pages 223-230
  11. J. Gustav Smith, Christopher Newton-Cheh
    Pages 231-258
  12. Yunyu Zhang, Joseph Szustakowski, Martina Schinke
    Pages 259-284
  13. Bruno M. Tesson, Ritsert C. Jansen
    Pages 285-309
  14. Lude Franke, Ritsert C. Jansen
    Pages 311-328
  15. Paul Fisher, Harry Noyes, Stephen Kemp, Robert Stevens, Andrew Brass
    Pages 329-345
  16. Back Matter
    Pages 347-350

About this book


As two of the leading causes of death worldwide, heart disease and stroke represent a clear target for genomic research aimed at deciphering the genes and cellular pathways that underlie cardiovascular disease and creating improved therapies. In Cardiovascular Genomics: Methods and Protocols, experts in the field provide methods for cardiovascular phenotyping of rodent models in the first section of the volume and for statistical and bioinformatic integration of phenotype data with genome-wide genotype and expression data in the second section. Understanding these diverse methods will allow an individual laboratory to utilize these genomic methods independently or to better prepare for collaboration with scientists having expertise in other disciplines in order to uncover genes affecting cardiovascular disease. Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, lists of the necessary equipment, materials, and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls.

Cutting-edge and easy-to-use, Cardiovascular Genomics: Methods and Protocols will enable researchers to identify causal genes and novel molecular targets that can lead to vital new treatments for cardiovascular disease.


Atherosclerosis Bioinformatics and statistics Genotyping Heart disease Hypertension Microarray Phenotyping Rodent models Stroke bioinformatics cardiovascular genes molecular biology

Editors and affiliations

  • Keith DiPetrillo
    • 1
  1. 1.ResearchNovartis Institute for BiomedicalEast HanoverU.S.A.

Bibliographic information

  • Book Title Cardiovascular Genomics
  • Book Subtitle Methods and Protocols
  • Editors Keith DiPetrillo
  • Series Title Methods in Molecular Biology™
  • Series Abbreviated Title Methods Molecular Biology
  • DOI
  • Copyright Information Humana Press 2009
  • Publisher Name Humana Press, Totowa, NJ
  • eBook Packages Springer Protocols
  • Hardcover ISBN 978-1-60761-246-9
  • Softcover ISBN 978-1-61779-643-2
  • eBook ISBN 978-1-60761-247-6
  • Series ISSN 1064-3745
  • Series E-ISSN 1940-6029
  • Edition Number 1
  • Number of Pages X, 350
  • Number of Illustrations 84 b/w illustrations, 0 illustrations in colour
  • Topics Cardiology
    Human Genetics
    Gene Expression
  • Buy this book on publisher's site


From the reviews: “The book appears to provide a practical guide on a number of laboratory-based molecular methods that are likely to be useful in carrying out human and animal experiments to generate data and information for … complex cardiovascular conditions. … Although this book is well produced with excellent layout, it will probably find a … place on any researcher’s book shelf. … laboratories may consider keeping a copy in the library for quick reference and useful in teaching and training of young investigators in molecular genomics.” (Dhavendra Kumar, Human Genetics, Vol. 127, 2010)