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E-grāmata: OMICs: Applications in Neuroscience [Oxford Medicine Online E-books]

Edited by (MDDirector, Center for Informatics and Personalized Genomics, Semel Institute for Neuroscience and Human Behavior, and Departments of Psychiatry & Neurology, David Geffen School of Medicine, University of California, Los Angeles, USA, UC)
  • Formāts: 384 pages, 53 illustrations
  • Izdošanas datums: 30-Jan-2014
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199855452
  • Oxford Medicine Online E-books
  • Cena pašlaik nav zināma
  • Formāts: 384 pages, 53 illustrations
  • Izdošanas datums: 30-Jan-2014
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199855452
The OMICs:Applications in Neuroscience summarizes the state of the art in OMICs applications in neurology and neuroscience, attracting neurologists who are interested in the progress of this field towards clinical applications, and neuroscientists who may be not familiar with the most recent advances in this ever-changing field. The book will include an overview of most relevant high-throughput approaches (collectively known as 'OMICs') and how they relate to neurology and neuroscience. The explosion of high-throughput assays has introduced large datasets, computational servers, and bioinformatics approaches to neuroscience and medicine in general.

The reader will be provided with an overview of the application or method, a perspective on the current and future applications in neurology and neuroscience, and a few published examples illustrating possible practical use. Emerging topics such as ethical issues related to personal genome sequencing, epigenetics, network analysis, and role of peripheral biomarkers in disease diagnosis and follow-up will be covered as well.
Contributors vii
PART ONE DNA
1 Medical DNA Sequencing in Neuroscience
3(24)
Karola Rehnstrom
Arvid Suls
Aarno Palotie
2 Epigenomics: An Overview
27(15)
Kevin Huang
Guoping Fan
3 The Role of Epigenomics in Genetically Identical Individuals
42(21)
Zachary A. Kaminsky
PART TWO RNA
4 Transcriptomics
63(10)
T. Grant Belgard
Daniel H. Geschwind
5 Decoding Alternative mRNAs in the "Omics" Age
73(12)
Yuan Yuan
Donny D. Licatalosi
6 Transcriptomics: From Differential Expression to Coexpression
85(29)
Michael C. Oldham
7 High-Throughput RNA Interference as a Tool for Discovery in Neuroscience
114(18)
Lisa P. Elia
Steven Finkbeiner
8 The Genetics of Gene Expression: Multiple Layers and Multiple Players
132(23)
Amanda J. Myers
PART THREE PROTEIN
9 Proteomics
155(28)
Jonathan C. Trinidad
Ralf Schoepfer
A. L. Burlingame
10 Focused Plasma Proteomics for the Study of Brain Aging and Neurodegeneration
183(12)
Philipp A. Jaeger
Saul A. Villeda
Daniela Berdnik
Markus Britschgi
Tony Wyss-Coray
PART FOUR CELLS AND CONNECTIONS
11 Cellomics: Characterization of Neural Subtypes by High-Throughput Methods and Transgenic Mouse Models
195(25)
Joseph Dougherty
12 Neuroscience and Metabolomics
220(12)
Reza M. Salek
13 Brain Connectomics in Man and Mouse
232(22)
Arthur W. Toga
Kristi Clark
Hong Wei Dong
Houri Hintiryan
Paul M. Thompson
John D. Van Horn
14 Optogenetics
254(11)
Richie E. Kohman
Hua-An Tseng
Xue Han
15 Characterizing the Gut Microbiome: Role in Brain-Gut Function
265(26)
Gerard Clarke
Paul W. O'Toole
John F. Cryan
Timothy G. Dinan
PART FIVE THERAPEUTICS
16 OMICs in Drug Discovery: From Small Molecule Leads to Clinical Candidates
291(24)
B. Michael Silber
17 Pharmacogenomics
315(18)
Steven P. Hamilton
PART SIX OMICsOME: INTEGRATION OF OMICs DATA
18 Multidimensional Databases of Model Organisms
333(12)
Khyobeni Mozhui
Robert W. Williams
19 Network Biology and Molecular Medicine in the Postgenomic Era: The Systems Pathobiology of Network Medicine
345(12)
Stephen Y. Chan
Joseph Loscalzo
Links to Helpful Resources 357(4)
Index 361
Giovanni Coppola, MD Assistant Professor Laboratory of Neurogenetics Department of Neurology, David Geffen School of Medicine