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Market Research Report

Genetics Bundle

Published by Trimark Publications Contact us : +1-860-674-8796
Published 2009/06 Content info 1292 pages
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Description TOC

Table of Contents

Bioinformatics Markets

1. Overview

  • 1.1 Statement of Report
  • 1.2 About this Report
  • 1.3 Scope of this Report
  • 1.4 Methodology
  • 1.5 Executive Summary

2. Introduction

  • 2.1 Global Bioinformatics Products Industry
  • 2.2 Computers and Biology
  • 2.3 Bioinformatics and the Internet
  • 2.4 Company Evaluation Overview
  • 2.5 Market Outlook
  • 2.6 Competitive Structure
  • 2.7 Applications of Bioinformatics
    • 2.7.1 Medicine
    • 2.7.2 Microbial Genomics
    • 2.7.3 Agriculture
  • 2.8 R&D
    • 2.8.1 Allocation of R&D
    • 2.8.2 Traditional Drug Discovery Process
    • 2.8.3 Drug Discovery and Bioinformatics
    • 2.8.4 Collaborative Agreements
  • 2.9 The Human Genome Project (HGP)
    • 2.9.1 Goals of the Human Genome Project
    • 2.9.2 Benefits of the Human Genome Project
  • 2.10 Barriers to Entry
  • 2.11 Proteomics and Databases
    • 2.11.1 Protein Database Standards
    • 2.11.2 Future Trends

3. The U.S. Bioinformatics Market

  • 3.1 Overview
  • 3.2 Market Restraints and Drivers
    • 3.2.1 Market Restraints
    • 3.2.2 Market Drivers

4. Genomics

  • 4.1 The Biotechnology Industry
  • 4.2 The Development of a Genomics Market
    • 4.2.1 Market Drivers
    • 4.2.2 Market Restraints
    • 4.2.3 Market Size and Growth Projections
    • 4.2.4 The U.S. Genomics Market
  • 4.3 Biochips and DNA Microarrays
    • 4.3.1 Key Challenges
    • 4.3.2 Freeware
    • 4.3.3 New Tools
  • 4.4 Bioinformatics
  • 4.5 Disease Targets
  • 4.6 Functional Genomics
  • 4.7 Gene Sequencing
  • 4.8 Gene Sequence Variation Detection
  • 4.9 Comparative Genomics
  • 4.10 Genome Database Arrays
  • 4.11 High-throughput Genomics
    • 4.11.1 High-throughput Technology
    • 4.11.2 Lab on a Chip
  • 4.12 Pharmacogenomics
  • 4.13 Probe Arrays
    • 4.13.1 Gene Expression Monitoring Arrays
    • 4.13.2 DNA Analysis Arrays
  • 4.14 Proteomics
  • 4.15 Sequencing
  • 4.16 Single Nucleotide Polymorphisms (SNPs)
  • 4.17 Structural Genomics
  • 4.18 Photolithography
  • 4.19 Instrumentation

5. The Bioinformatics Industry

  • 5.1 Definition and Role of Bioinformatics
    • 5.1.1 Bioinformatics Sector Overview
    • 5.1.2 The Future Status of Bioinformatics
    • 5.1.3 Barriers to Growth
  • 5.2 Types of Data and Bioinformatics Applications
    • 5.2.1 Validated Core Modeling Technology
    • 5.2.2 Broad Applicability
    • 5.2.3 Data Management Compliant with Industry Standards
    • 5.2.4 Open Architecture
    • 5.2.5 Ease of Use
    • 5.2.6 Increased Access
  • 5.3 Functions of Bioinformatics Software
    • 5.3.1 Data Management
    • 5.3.2 Data Transformation
    • 5.3.3 Data Collaboration
    • 5.3.4 Interface for Online Data Sources
  • 5.4 Target Markets for Informatics Software
  • 5.5 Steps Involved in Bringing a Drug to Market
  • 5.6 Costs Incurred in Developing a New Drug
  • 5.7 Industry Drivers and Challenges
  • 5.8 Industry Risks
  • 5.9 Products of Bioinformatics
  • 5.10 Bioinformatics Processes
  • 5.11 Informatics Tools and Functionalities
    • 5.11.1 Sequence to Structure
    • 5.11.2 Lead Identification and Optimization
    • 5.11.3 Development and Formulation
    • 5.11.4 Improving Materials and Processes
    • 5.11.5 Other Materials-Based Industries
  • 5.12 Role of Bioinformatics in the Biotechnology Value Chain
  • 5.13 Bioinformatics Market Segment
    • 5.13.1 Databases
    • 5.13.2 Hardware
    • 5.13.3 Software
    • 5.13.4 Bioinformatics Services
  • 5.14 Bioinformatics Market Size
    • 5.14.1 Sales and R&D
    • 5.14.2 IT Budget
    • 5.14.3 Projected Bioinformatics Market Size
  • 5.15 Global Market Perspective

6. Bioinformatics Business

  • 6.1 Bioinformatics Business Models
    • 6.1.1 Changing Business Models
    • 6.1.2 Competition for Pure Play Informatics Companies
    • 6.1.3 Non-Profit Organizations
    • 6.1.4 In-House Bioinformatics Solutions
    • 6.1.5 Large IT Companies
  • 6.2 Bioinformatics Target Disciplines
    • 6.2.1 Comparative Genomics
    • 6.2.2 Pharmacogenomics
    • 6.2.3 Functional Genomics
    • 6.2.4 Proteomics
    • 6.2.5 Structural Genomics
    • 6.2.6 Image Informatics
    • 6.2.7 Clinical Trial Informatics
    • 6.2.8 Cheminformatics
  • 6.3 Bioinformatics Architecture
  • 6.4 Bioinformatics Applications
    • 6.4.1 Data Search Tools
    • 6.4.2 Data Visualization Tools
    • 6.4.3 Data Mining and Clustering
    • 6.4.4 Enterprise Solutions
    • 6.4.5 Data Warehousing
  • 6.5 Evaluation of Bioinformatics Solutions
    • 6.5.1 Requirements of Study
    • 6.5.2 Shortlisting the Options
    • 6.5.3 Scoring Patterns
    • 6.5.4 Performance
    • 6.5.5 Data Storage
    • 6.5.6 Data Management in Drug Discovery
    • 6.5.7 Key Issues in Bioinformatics Data Storage
  • 6.6 Convergence of Industries
  • 6.7 Proteins as a Driver
  • 6.8 Current Bioinformatics Research
  • 6.9 New Bioinformatics Modeling Algorithms
  • 6.10 3D Modeling
  • 6.11 Patenting Bioinformatics Algorithms

7. Recent Industry Activity

  • 7.1 Collaborations and Acquisitions
  • 7.2 Product Development and Launches

8. Corporate Profiles

  • 8.1 Abbott Laboratories
  • 8.2 Abgenix
  • 8.3 Ablynx
  • 8.4 Accelrys
  • 8.5 Affimed Therapeutics
  • 8.6 Affitech
  • 8.7 Affymetrix
  • 8.8 Agencourt Bioscience Corporation
  • 8.9 Agensys
  • 8.10 Agilent Technologies
  • 8.11 Alexion Pharmaceuticals
  • 8.12 AlgoNomics
  • 8.13 ALLEZ Software
  • 8.14 Amgen
  • 8.15 Antisoma
  • 8.16 Applied Biosystems
  • 8.17 Arana Therapeutics
  • 8.18 Ariadne Genomics
  • 8.19 Array Genetics
  • 8.20 Astellas Pharma
  • 8.21 AstraZeneca
  • 8.22 Automated Handling Systems
  • 8.23 Avesthagen, Limited
  • 8.24 Bioalma
  • 8.25 BIOBASE Biological Databases
  • 8.26 BioCarta
  • 8.27 Biodatabases (AMITA Corporation)
  • 8.28 BioDiscovery
  • 8.29 Biogen Idec
  • 8.30 BioInformatics
  • 8.31 BioInformatics Services
  • 8.32 BioInformatics Solutions
  • 8.33 Biomax Informatics
  • 8.34 BioServe Technologies
  • 8.35 Biosiris
  • 8.36 BioSoftSolutions
  • 8.37 Biotique Systems
  • 8.38 BioInvent International
  • 8.39 Biosite Discovery
  • 8.40 BioWa
  • 8.41 BioWisdom
  • 8.42 Bio-Xtal
  • 8.43 Boehringer Ingelheim
  • 8.44 Cambridge Antibody Technology Group
  • 8.45 Capital Genomix
  • 8.46 Celera Group
  • 8.47 Cellectis
  • 8.48 Cellomics
  • 8.49 CeuticalSoft
  • 8.50 Chemical Computing Group
  • 8.51 Cimarron Software
  • 8.52 CLONDIAG Chip Technologies
  • 8.53 CodonCode Corporation
  • 8.54 CompuDrug International
  • 8.55 Compugen USA
  • 8.56 Corimbia
  • 8.57 Crucell
  • 8.58 CSIRO Bioinformatics
  • 8.59 CuraGen Corporation
  • 8.60 CyberGene
  • 8.61 Cytogen
  • 8.62 Data Unlimited International
  • 8.63 deCODE Genetics
  • 8.64 Decodon
  • 8.65 Deltagen
  • 8.66 Digilab
  • 8.67 DNA Software
  • 8.68 DNAPrint Genomics
  • 8.69 DNA Star
  • 8.70 DxS
  • 8.71 Dyax Corp.
  • 8.72 Eisai
  • 8.73 Elan Corporation
  • 8.74 Electric Genetics Corporation
  • 8.75 Elusys Therapeutics
  • 8.76 Entagen
  • 8.77 Entelos
  • 8.78 Enzon Pharmaceuticals
  • 8.79 Epigenomics
  • 8.80 ePitope Informatics
  • 8.81 EraGen Biosciences
  • 8.82 European Bioinformatics Institute (EBI) Industry Programme
  • 8.83 Evolutionary BioInformatics
  • 8.84 Genamics
  • 8.85 GeneData
  • 8.86 Gene Logic
  • 8.87 Genentech
  • 8.88 Geneva Bioinformatics (GeneBio)
  • 8.89 Genmab
  • 8.90 GenOdyssee
  • 8.91 Genolyze
  • 8.92 Genomatica
  • 8.93 GenomeQuest
  • 8.94 Genomic Solutions
  • 8.95 Genomining
  • 8.96 Genovac
  • 8.97 Genzyme
  • 8.98 Geospiza
  • 8.99 GlaxoSmithKline
  • 8.100 Glycominds
  • 8.101 Health Discovery Corporation
  • 8.102 Hitachi Corporate Technology Group
  • 8.103 IBM Life Sciences
  • 8.104 ImClone Systems
  • 8.105 ImmunoGen
  • 8.106 Immunomedics
  • 8.107 Improved Outcomes Software
  • 8.108 INCOGEN
  • 8.109 Incyte Corporation
  • 8.110 Informagen
  • 8.111 Ingenuity Systems
  • 8.112 InNexus Biotechnology
  • 8.113 Insilicos
  • 8.114 Intrexon Corporation
  • 8.115 Invitrogen Corporation
  • 8.116 IO Informatics
  • 8.117 Johnson & Johnson
  • 8.118 LabVantage Solutions
  • 8.119 Lexigen
  • 8.120 Lifespan Biosciences
  • 8.121 Lion Bioscience
  • 8.122 MathEcology
  • 8.123 Matrix Science
  • 8.124 Medarex
  • 8.125 Medicel
  • 8.126 MedImmune
  • 8.127 Merus
  • 8.128 METabolic Explorer
  • 8.129 Metahelix Life Sciences
  • 8.130 Metalife
  • 8.131 Micromet
  • 8.132 Millennium Pharmaceuticals
  • 8.133 Molecular Connections
  • 8.134 Molecular Networks
  • 8.135 Molecularware
  • 8.136 MorphoSys
  • 8.137 Nexus Genomics
  • 8.138 Nonlinear Dynamics
  • 8.139 Novartis
  • 8.140 Ocimum Biosolutions
  • 8.141 OmniViz
  • 8.142 Partek
  • 8.143 PDL BioPharma
  • 8.144 Perlegen Sciences
  • 8.145 Philogen
  • 8.146 Philotec
  • 8.147 Prokaria
  • 8.148 Quantiom Bioinformatics
  • 8.149 Relevant Software
  • 8.150 Roche
  • 8.151 Rosetta Inpharmatics
  • 8.152 Sanofi-Aventis
  • 8.153 SBI Science
  • 8.154 Seascape Learning
  • 8.155 Seattle Genetics
  • 8.156 Scil Proteins
  • 8.157 Simulations Plus
  • 8.158 Spotfire
  • 8.159 Strand Life Sciences
  • 8.160 Sun Microsystems
  • 8.161 Symphogen
  • 8.162 Syngene
  • 8.163 Tahoe Informatics
  • 8.164 Tanox
  • 8.165 3rd Millennium
  • 8.166 ThromboGenics
  • 8.167 Thomson Reuters
  • 8.168 TIB MOLBIOL
  • 8.169 Trion Pharma
  • 8.170 Tripos
  • 8.171 UBI Life Sciences
  • 8.172 Viventia Biotech
  • 8.173 VizX Labs
  • 8.174 Wyeth
  • 8.175 Xcellerex
  • 8.176 Xencor
  • 8.177 Xoma
  • 8.178 Xpogen

INDEX OF FIGURES

  • Figure 4.1: Representation of Biotechnology Market, Geographically, 2008
  • Figure 5.1: Informatics Applications along the Drug-Discovery Value Chain
  • Figure 5.2: Functions of Bioinformatics Software in Research
  • Figure 5.3: EMBL Database Growth, 1995-2008
  • Figure 5.4: The Steps Involved in Bringing a Drug to Market
  • Figure 5.5: The Breakdown of Total Costs in New Drug Development, 2007
  • Figure 5.6: The Role of Bioinformatics in the Biotechnology Value Chain
  • Figure 5.7: Worldwide Pharmaceutical Sales and R&D Expenditures, 2000-2013
  • Figure 5.8: Worldwide Growth in IT Budget, 2000-2013
  • Figure 5.9: Worldwide Bioinformatics Market, 2000-2013
  • Figure 6.1: Steps of a Proteomics Experiment
  • Figure 6.2: Bioinformatics Architecture

INDEX OF TABLES

  • Table 2.1: Leading Biotechnology Companies
  • Table 2.2: Total of Domestic U.S. R&D, 2006-2013
  • Table 2.3: Global Biotechnology Market, 2007
  • Table 2.4: SIB Informatics Databases
  • Table 4.1: The U.S. Biotechnology Industry Size and Revenue, 2000-2007
  • Table 4.2: Global Biotechnology Industry Major Segments
  • Table 4.3: Genomics Sector Market Size, 2006-2013
  • Table 4.4: Total Biochip Market, 2007-2013
  • Table 4.5: Selected Competitors in the Biochip Market
  • Table 4.6: Biochip Microarray Products
  • Table 4.7: Bioinformatics Tools
  • Table 4.8: Functional Genomics Companies Building Advanced Integrated Platforms and Substantial Databases
  • Table 4.9: Companies Using New Genomic Tools
  • Table 4.10: Non-DNA-Based Chip Suppliers
  • Table 4.11: Robotics or "Lab-on-a-Chip" Market Sector
  • Table 4.12: Key High-throughput and Systemic Approaches in Genomic Analysis
  • Table 4.13: Pharmacogenomics Segment Players
  • Table 4.14: The Worldwide Market for Pharmacogenomics, 2006-2013
  • Table 4.15: Competitors in the SNP Genotyping Segment
  • Table 4.16: Scanning and Detection Technology Suppliers
  • Table 5.1: Data Sources and Bioinformatic Investigations
  • Table 5.2: Drivers and Challenges of the Bioinformatics Industry
  • Table 5.3: Bioinformatics Activities, Sub-Activities and Key Players
  • Table 5.4: Bioinformatics Market Size, 2006-2013
  • Table 5.5: Cheminformatics Market Size, 2006-2013
  • Table 5.6: In-silico Informatics Market Size, 2006-2013
  • Table 5.7: Bioinformatics Hardware and Systems Market Size, 2006-2013
  • Table 6.1: Alliances between IT/Telecom and Biotechnology Firms
  • Table 6.2: Types of Intellectual Property Protection for Bioinformatics Tools

DNA Sequencing and PCR Markets.

1. Overview

  • 1.1 Statement of Report
  • 1.2 About This Report
  • 1.3 Scope of the Report
  • 1.4 Methodology
  • 1.5 Executive Summary

2. Introduction to DNA Sequencing and Amplification and PCR Technology

  • 2.1 Science Overview: Introduction to DNA
    • 2.1.1 DNA Sequencing and PCR Applications Space
    • 2.1.2 Proteomics
    • 2.1.3 Products for the Genomics Market
  • 2.2 The Impact of the Human Genome Project on Molecular Biology
  • 2.3 Impact of DNA Sequencing Techniques on Biotechnology, Pharmaceutical and Healthcare Industries
  • 2.4 Molecular Diagnostics in the Post-genomic Era-The Role of SNPs
  • 2.5 Advances in Molecular Diagnostic Technologies
  • 2.6 The Use of PCR Technology
  • 2.7 Genetic Variability and Disease

3. Market Analysis of PCR and DNA Sequencing Product Market

  • 3.1 Overview of the Sequencing and Amplification Market
    • 3.1.1 Highlights of DNA Sequencing Market
    • 3.1.2 Genomic Analysis Market Development
    • 3.1.3 Leading U.S. and Canadian Companies Offering Sequencing Technology Platforms
    • 3.1.4 Competition
    • 3.1.5 Markets for DNA Sequencing
    • 3.1.6 Market Opportunity
    • 3.1.7 Market Dynamics
    • 3.1.8 Overview of Current DNA Sequencing Technology Platforms and Players
    • 3.1.9 Limitations of Current Sequencing Technologies
    • 3.1.10 Overview of the Life Science Marketplace
    • 3.1.11 Research Laboratories
      • 3.1.11.1 Market Share
  • 3.2 Paradigm Shift in Drug Discovery and Development
    • 3.2.1 Systems Biology and the Need for More Effective Tools
    • 3.2.2 Molecular Medicine and the New Therapeutics
    • 3.2.3 Pharmacogenomics Using Genotyping and Phenotyping Clinical Biomarkers
    • 3.2.4 The Market
  • 3.3 Detection of Amplified DNA
    • 3.3.1 Nucleic Acid Amplification Methods
    • 3.3.2 Amplification of Refractory Mutation System (ARMS)
  • 3.4 DNA Reagent Applications Market Share and Key Players
    • 3.4.1 Product Description
      • 3.4.1.1 Pricing
  • 3.5 PCR/DNA Testing Market Analysis
    • 3.5.1 Nucleic Acid-Amplification and Detection Systems: How Big a Market?
    • 3.5.2 Market Size 2004-2010 and Growth Projections in DNA Amplification Instrumentation
      • 3.5.2.1 U.S. Market
      • 3.5.2.2 European Market
    • 3.5.3 Market Share of Key Players in DNA Amplification
  • 3.6 The Drivers of the Biotech Industry
    • 3.6.1 Isolation of DNA for PCR Profiling
    • 3.6.2 Analysis by PCR-Based DNA Typing
    • 3.6.3 Rapid Isolation of DNA for RFLP and PCR
    • 3.6.4 DNA for PCR-STR Typing
  • 3.7 Biotechnology Instrumentation Outlook
    • 3.7.1 Products for the Genomics Market
    • 3.7.2 Genetic Analysis Products

4. Use of PCR and DNA Amplification Products

  • 4.1 PCR Components
    • 4.1.1 Primers for PCR
    • 4.1.2 Equipment for PCR
  • 4.2 Sources of DNA for PCR
  • 4.3 PCR Primer Sequence
  • 4.4 Thermostable DNA Polymerases
  • 4.5 PCR Protocols
  • 4.6 Microfluidic Automated DNA Analysis Using PCR

5. Technical Trends in PCR

  • 5.1 Practical Applications of PCR
    • 5.1.1 Overview
  • 5.2 Quality Control Issues in PCR
  • 5.3 Determining Length of cDNA Product
    • 5.3.1 Direct Signal Amplification Using the Invader Assay
    • 5.3.2 Biosensor Technologies
      • 5.3.2.1 DNA Hybridization Biosensor Chips
      • 5.3.2.2 PNA-Based Biosensors
  • 5.4 Novel Nucleic Acid Amplification Techniques
  • 5.5 Microplate Readers
  • 5.6 Genotyping Methods
    • 5.6.1 Use of DNA Sequencers
      • 5.6.1.1 Capillary-Based Sequencers
      • 5.6.1.2 Pyrosequencing
    • 5.6.2 Use of Microarrays
  • 5.7 RiboMaker Detection System
  • 5.8 RNA Isolation Kits
  • 5.9 Nucleic Acid Sample Prep Platforms
  • 5.10 DNA Microarrays
    • 5.10.1 The Technique
    • 5.10.2 The Market
    • 5.10.3 Gene Expression Monitoring Arrays
  • 5.11 Emerging Markets of DNA Arrays
  • 5.12 Alternatives to PCR Amplification
    • 5.12.1 Locked Nucleic Acids (LNAs)
    • 5.12.2 Multiplexed Nuclease-Protection Assay and ArrayPlate

6. Corporate Directory

  • 6.1 Abbott Laboratories
  • 6.2 Affymetrix
  • 6.3 Agilent Technologies
  • 6.4 AgriGen Biotech Pty
  • 6.5 GE Healthcare
  • 6.6 Applera Applied Biosystems
  • 6.7 Avesthagen Gengraine Technologies, Pvt.
  • 6.8 Bayer Corporation
  • 6.9 BD Biosciences
  • 6.10 Beckman Coulter
  • 6.11 BGI Life Tech
  • 6.12 bioMerieux
  • 6.13 Bioneer
  • 6.14 Bio-Rad Laboratories
  • 6.15 BioTrove
  • 6.16 Caliper LifeSciences
  • 6.17 Cepheid
  • 6.18 Cogenics (A subsidiary of Clinical Data)
  • 6.19 CombiMatrix Corporation
  • 6.20 Commonwealth Biotechnologies
  • 6.21 Complete Genomics
  • 6.22 CuraGen Corporation
  • 6.23 Cytocell
  • 6.24 Dako A/S
  • 6.25 DiaDexus
  • 6.26 DNA LandMarks
  • 6.27 DNAVision
  • 6.28 Enzo Biochem
  • 6.29 Epicentre
  • 6.30 Eppendorf AG
  • 6.31 Eurofins Medigenomix
  • 6.32 Exiqon
  • 6.33 Febit Biomed
  • 6.34 Geneart AG
  • 6.35 GeneticTechnologies Limited
  • 6.36 GeneWorks
  • 6.37 Genisphere
  • 6.38 Genizon BioSciences
  • 6.39 Genovoxx
  • 6.40 Gen-Probe
  • 6.41 Genset
  • 6.42 Genta
  • 6.43 Genzyme
  • 6.44 GVK BIO
  • 6.45 Hamilton Thorne Biosciences
  • 6.46 Helicos BioSciences Corporation
  • 6.47 High Throughput Genomics
  • 6.48 Hokkaido System Science
  • 6.49 Hy Laboratories
  • 6.50 Illumina
  • 6.51 Incyte Corporation
  • 6.52 Integrated DNA Technologies
  • 6.53 Invitrogen
  • 6.54 Inqaba Biotechnical Industries
  • 6.55 Johnson & Johnson
  • 6.56 Kreatech Holding BV
  • 6.57 LI-COR
  • 6.58 Sygnis Pharma AG
  • 6.59 Lucigen
  • 6.60 Luminex Corporation
  • 6.61 Meridian Biosciences
  • 6.62 Microchip Biotechnologies
  • 6.63 Microsynth AG
  • 6.64 MilleGen SA
  • 6.65 Millennium Pharmaceuticals
  • 6.66 MWG Biotech AG
  • 6.67 Myriad Genetics
  • 6.68 Nanogen
  • 6.69 Nanosys
  • 6.70 Nymox
  • 6.71 Ocimum Biosolutions
  • 6.72 Orchid Cellmark
  • 6.73 Ostex
  • 6.74 Pacific Biosciences
  • 6.75 PamGene
  • 6.76 Perlegen Sciences
  • 6.77 PPD
  • 6.78 PPGx
  • 6.79 PrimmBiotech
  • 6.80 Promega
  • 6.81 Biotage
  • 6.82 QIAGEN
  • 6.83 Quidel
  • 6.84 Research Biolabs Pte
  • 6.85 Roche Diagnostics
  • 6.86 Shanghai Sangon Biological Engineering Technology & Services Co.
  • 6.87 Saturn Biotech
  • 6.88 Sequenom
  • 6.89 Sequetech
  • 6.90 Shimadzu Biotech
  • 6.91 Siemens AG
  • 6.92 Tepnel Life Sciences
  • 6.93 Third Wave Technologies
  • 6.94 Visible Genetics
  • 6.95 VisiGen Biotechnologies
  • 6.96 Vysis
  • 6.97 Wellcome Trust Sanger Institute
  • 6.98 ZS Genetics

7. Market Trends and Forecasts

  • 7.1 Market Dynamics
  • 7.2 Future Considerations for Molecular Diagnostics
  • 7.3 How Genomics is Transforming Pharmaceutical R&D
  • 7.4 Cancer Markers
  • 7.5 NAT and Personalized Medicine
  • 7.6 Three Growth Areas of Molecular Diagnostics
  • 7.7 RNA Detection
  • 7.8 Ramification Amplification Method
  • 7.9 Invader Assays/Third Wave Technologies
  • 7.10 Molecular Beacons

8. Major Product Innovations/Launches in DNA Sequencing Industry

  • 8.1 Major Product Innovations/Launches in DNA Sequencing Industry
  • 8.2 Major Activities in DNA Sequencing Industry

LIST OF FIGURES

  • Figure 2.1: Segment of Double-Stranded DNA Showing the Base-Pair Relationship
  • Figure 3.1: Global Market for DNA Sequencing
  • Figure 4.1: Cepheid' s I-CORE Module

LIST OF TABLES

  • Table 3.1: Global Market for DNA Sequencing
  • Table 3.2: DNA Sequencing Market Players
  • Table 3.3: Major DNA Product Companies in Europe
  • Table 3.4: Major DNA Product Companies in Asia and Australia
  • Table 3.5: Major DNA Product Companies in Japan
  • Table 3.6: Major DNA Product Companies in Rest of the World
  • Table 3.7: Market Revenue and Market Share of DNA Sequencing Market Players
  • Table 3.8: Thermal Cyclers Marketed by Applied Biosystems
  • Table 3.9: Applied Biosystems' Real-Time PCR Systems
  • Table 3.10: Applied Biosystems Genetic Analysis Instruments
  • Table 3.11: Gene Expression Assays Offered by Applied Biosystems
  • Table 3.12: SNP Genotyping Assays Offered by Applied Biosystems
  • Table 3.13: Comparison of Established Genomic Analysis Technologies
  • Table 3.14: Life Science Techniques Frequently Used
  • Table 3.15: The Most Commonly Used Reagents Used by Life Science Researchers
  • Table 3.16: The Most Commonly Used Instruments and Apparatus in Life Science Research
  • Table 3.17: The Most Widely Reported Categories of Software in Life Science Research
  • Table 3.18: Reagents and Equipment Sales for Use in DNA Sequencing Worldwide
  • Table 3.19: Global Market for Tools and Consumables Used in Drug Discovery and Development, Clinical Diagnostics and Biomedical Research
  • Table 3.20: Key Bioassay Technologies in the Life Sciences Industry
  • Table 3.21: Nucleic Acid Amplification Methods
  • Table 3.22: Properties of Various Acid Amplification Techniques
  • Table 3.23: Amplification Reagent Product Description
  • Table 3.24: Standard Prep Pricing
  • Table 3.25: Small Target Prep Pricing
  • Table 3.26: Hybridization Pricing
  • Table 3.27: Analysis Pricing
  • Table 3.28: U.S. Market Size 2004-2010 in DNA Amplification Instrumentation
  • Table 3.29: Market Share of Key Players in DNA Amplification Thermostable Enzymes
  • Table 3.30: Leading Manufacturers of Thermal Cyclers and Market Share
  • Table 4.1: ThermoFisherMolecular Biology Thermal Cyclers
  • Table 4.2: PCR Systems and Thermocyclers
  • Table 5.1: RiboMaker"! Assays to be Introduced for Cancer and Pathogen Detection
  • Table 8.1: The Key Bioassay Technologies in the Life Sciences Industry

Gene Expression Reagents Markets.

1. Overview

  • 1.1 Objectives of the Report
  • 1.2 Methodology
  • 1.3 Scope of the Report
  • 1.4 Executive Summary

2. Gene Expression

  • 2.1 The Genomics Revolution
  • 2.2 Basic Principles of Gene Expression
    • 2.3.1 Quantitative Real-Time PCR (qRT-PCR)
    • 2.3.2 PCR Labeling Chemistries
    • 2.3.3 TaqManR Probes
    • 2.3.4 SYBRR Green
  • 2.4 Microarray Technology
  • 2.5 Microarray Target Preparation and Hybridization
  • 2.6 RNA Sample Preparation and Assessment

3. Gene Expression Reagents

  • 3.1 Kit Format vs. Home-Brew Assays
  • 3.2 Whole Product Solutions
  • 3.3 Emerging Technologies

4. Market Environment

  • 4.1 Institutional and Government Budgeting
  • 4.2 Worldwide Investment in Genomics Technologies and Research
  • 4.3 Industry Consolidation and Acquisitions

5. Market Drivers

  • 5.1 Improved Assay Performance
  • 5.2 Cost Effective Systems
  • 5.3 Automation
  • 5.4 Bioinformatics Solutions

6. Worldwide Market for Gene Expression Reagents

  • 6.1 Life Science Research
  • 6.2 Drug Discovery and Development, Molecular Diagnostics
  • 6.3 Commercial Production
  • 6.4 Gene Expression Market Size
    • 6.4.1 Real-Time PCR Revenue
    • 6.4.2 Commercial Microarray Revenue
    • 6.4.3 RNA Sample Preparation Revenue
  • 6.5 Gene Expression Reagent Market by Region
  • 6.6 Users of Gene Expression Products
    • 6.6.1 Core Laboratories
    • 6.6.2 Consortia
    • 6.6.3 Pharmaceutical and Biotechnology Companies
  • 6.7 Affiliation
  • 6.8 Job Function and Decision Makers

7. Key Applications

  • 7.1 BioMarker Identification and Pharmacogenomics
  • 7.2 Toxicogenomics
  • 7.3 Molecular Diagnostics

8. Vendor and Product Selection

  • 8.1 Product Adoption
  • 8.2 Drivers for Product Switching

9. Leading Vendors

10. Marketing Strategies

  • 10.1 e-Marketing and e-Commerce
  • 10.2 Catalog
  • 10.3 On-Site Cabinet Programs

11. Pricing Strategies

  • 11.1 Price Elasticity
  • 11.2 Strategies

12. Distribution Channels

13. Competitive Situation

14. Opportunities

15. Market Strategy Profiles, Leading and Selected Vendors

  • 15.1 Applied Biosystems
    • 15.1.1 Applera Corporation-Corporate History and Structure
    • 15.1.2 Molecular Biology Technology and Products
    • 15.1.3 Acquisitions, Partnerships and Collaborations, 2006
    • 15.1.4 Product Portfolio Summary
    • 15.1.5 Real-Time PCR/Genomics Products and Consumables
    • 15.1.6 Real-Time PCR/Genomics New Product Introductions, 2006
    • 15.1.7 End-Users
    • 15.1.8 Distribution Channels
    • 15.1.9 Competition-Gene Expression Products
    • 15.1.10 Competitive Analysis
    • 15.1.11 Business Model
  • 15.2 Affymetrix
    • 15.2.1 Corporate History and Structure
    • 15.2.2 Technology
    • 15.2.3 Partnerships and Collaborations
    • 15.2.4 Product Portfolio Summary
    • 15.2.5 Complementary Services
    • 15.2.6 New Product Introductions
    • 15.2.7 End-Users
    • 15.2.8 Distribution Channels
    • 15.2.9 Competition
    • 15.2.10 Competitive Analysis
    • 15.2.11 Business Model
  • 15.3 Invitrogen
    • 15.3.1 Corporate History and Structure
    • 15.3.2 Technology
    • 15.3.3 Acquisitions
    • 15.3.4 Partnerships and Collaborations
    • 15.3.5 Product Profile Summary
    • 15.3.6 Gene Expression Product Portfolio
    • 15.3.7 New Product Introductions
    • 15.3.8 End-Users
    • 15.3.9 Distribution Channels
    • 15.3.10 Competition
    • 15.3.11 Competitive Analysis
    • 15.3.12 Business Model
  • 15.4 Qiagen
    • 15.4.1 Corporate History and Structure
    • 15.4.2 Technology
    • 15.4.3 Acquisitions, Partnerships and Collaborations
    • 15.4.4 Collaborations and Partnerships
    • 15.4.5 Product Portfolio Summary
    • 15.4.6 Complementary Services
    • 15.4.7 New Product Introductions
    • 15.4.8 End-Users
    • 15.4.9 Distribution Channels
    • 15.4.10 Competition
    • 15.4.11 Competitive Analysis
    • 15.4.12 Business Model
  • 15.5 GE Healthcare (Formerly Amersham Biosciences)
    • 15.5.1 Corporate History and Structure
    • 15.5.2 Technology
    • 15.5.3 Product Portfolio Summary
    • 15.5.4 Complementary Services
    • 15.5.5 Genomics New Product Introductions
    • 15.5.6 Amersham Biosciences End-Users
    • 15.5.7 Distribution Channels
    • 15.5.8 Competition
    • 15.5.9 Competitive Analysis
    • 15.5.10 Business Model
  • 15.6 Stratagene
    • 15.6.1 Corporate History and Structure
    • 15.6.2 Technology
    • 15.6.3 Acquisitions, Collaborations, Alliances and Partnerships
    • 15.6.4 Product Portfolio Summary-Research Products Division
    • 15.6.5 New Product Introductions
    • 15.6.6 Complementary Services
    • 15.6.7 End-Users
    • 15.6.8 Distribution Channels
    • 15.6.9 Competition
    • 15.6.10 Competitive Analysis
    • 15.6.11 Business Model

Appendix I: Leading Vendor' s Gene Expression Products

Appendix II: Gene Expression Product Groups

Appendix III: Companies Offering Gene Expression Products

LIST OF FIGURES

  • Figure 2.1: Gene Expression Process
  • Figure 2.2: qRT-PCR Workflow
  • Figure 2.3: Microarray Workflow
  • Figure 6.1: Gene Expression Market by Region
  • Figure 6.2: Researchers Using Gene Expression Technologies Worldwide, 2005
  • Figure 6.3: Distribution of Laboratory Workers by Organization in North America
  • Figure 6.4: Laboratory Job Function
  • Figure 6.5: Product Selection and Purchasing Decision Makers

LIST OF TABLES

  • Table 5.1: Microarray Analysis Cost per Sample
  • Table 5.2: Cost of qRT-PCR Research Reagents and Systems
  • Table 6.1: Five-Year Forecast-Gene Expression Reagents, Instruments
  • Table 6.2: RNA Sample Preparation Revenue
  • Table 6.3: Forecasted Annual Revenue-qRT-PCR, 2005-2010
  • Table 6.4: Forecasted Annual Revenue-Commercial Microarrays, Reagents, Instruments, 2005-2010
  • Table 6.5: Forecasted Annual Revenue-Gene Expression Reagents, Instruments, 2005-2010
  • Table 6.6: Forecasted Annual Revenue-RNA Sample Preparation, 2005-2010
  • Table 6.7: Projected Revenue Growth of Microarrays and Related Products
  • Table 6.8: Major Players' Distribution of Revenue by Region, 2005
  • Table 6.9: Decision Makers Profile
  • Table 9.1: Major Vendors-Gene Expression Reagents and RNA Sample Preparation
  • Table 9.2: Vendors' Key Statistics, 2005
  • Table 9.3: Vendors' Technology and Products
  • Table 11.1: RNA Sample Preparation-Vendors Prices
  • Table 11.2: qPCR Kits-Vendor' s Prices
  • Table 11.3: Reverse Transcriptase-Vendor' s Prices
  • Table 12.1: Distribution Channels
  • Table 15.1: Applied Biosystems Revenue, 2005
  • Table 15.2: Affymetrix Revenue, 2005
  • Table 15.3: Invitrogen Revenue, 2005
  • Table 15.4: Qiagen Revenue, 2005
  • Table 15.5: GE Healthcare Revenue, 2005
  • Table 15.6: Stratagene Revenue, 2005

Genomics World Markets

1. Introduction

  • 1.1 Statement of Report
  • 1.2 Objectives and Goals of Study
  • 1.3 Methodology
  • 1.4 Executive Summary
    • 1.4.1 Market Drivers
    • 1.4.2 Market Restraints
    • 1.4.3 Market Size and Growth Projections
  • 1.5 What Is a Gene?
  • 1.6 Gene Expression
  • 1.7 Genetic Variability
  • 1.8 The Human Genome Project (HGP)
  • 1.9 Gene Databases
  • 1.10 Sequencing and Resequencing
  • 1.11 RNA Interference (RNAi)
  • 1.12 DNA Tags

2. Genomics Technology and Industry

  • 2.1 The Development of a Genomics Market
    • 2.1.1 Market Size and Growth Projections
    • 2.1.2 The U.S. Genomics Market
  • 2.2 DNA Microarray Technology
    • 2.2.1 Biochips
    • 2.2.2 Photolithography
    • 2.2.3 Instrumentation for DNA Microarray Analysis
    • 2.2.4 Lab-on-a-Chip
    • 2.2.5 DNA Microarrays
  • 2.3 Applications of DNA Microarrays
    • 2.3.1 DNA Sequence Analysis
    • 2.3.2 Gene Expression Analysis
    • 2.3.3 Effect of DNA Sequence and Gene Expression Monitoring on the Genomics Market
  • 2.4 Bioinformatics
  • 2.5 Functional Genomics
    • 2.5.1 Gene Knockdown
    • 2.5.2 Protein-Protein Interactions
    • 2.5.3 Bioinformatics
    • 2.5.4 Strategies of Functional Genomics Companies
    • 2.5.5 Frontiers in Functional Genomics
  • 2.6 Comparative Genomics
  • 2.7 Pharmacogenomics
  • 2.8 Proteomics
  • 2.9 Structural Genomics
  • 2.10 Disease Targets
    • 2.10.1 Paradigm Shift in Drug Development: The Evolution of Targeted Therapies
    • 2.10.2 Personalized Warfarin Therapy

3. How Genomics Is Revolutionizing Healthcare

  • 3.1 Pharmaceutical Applications
  • 3.2 Diagnostics
  • 3.3 Toxicogenomics
  • 3.4 The Market for DNA Microarrays
  • 3.5 DNA Chip Technology Competition
  • 3.6 Expression Profiling
  • 3.7 Gene Sequencing-Advantages of Chip Array Technology
  • 3.8 Applied Markets for Genomics
  • 3.9 Genomics and the Pharmaceutical Companies
  • 3.10 Cancer Markets
  • 3.11 Agricultural Markets
    • 3.11.1 Plant Genomics
    • 3.11.2 Food Processing
    • 3.11.3 Animal Husbandry

4. Proprietary Applications and Patents

  • 4.1 What is Patentable?
  • 4.2 Patents and Litigation

5. Business Analysis

  • 5.1 Facilitation and Capitalization of the Convergence of Gene Expression Analysis and Proteomics
  • 5.2 Competition
  • 5.3 Market Opportunities for Functional Genomics
    • 5.3.1 Metabolic Profiling
    • 5.3.2 Anti-Fungal Targets
    • 5.3.3 Nutrition
    • 5.3.4 Crop Production
  • 5.4 The Highly-Competitive Nature of the Genomics Industry
    • 5.4.1 First-Generation Biotech
    • 5.4.2 Second-Generation Genomics Companies
    • 5.4.3 Next-Generation DNA Sequencing Companies
  • 5.5 Strategic Alliances

6. Genomics Company Profiles

  • 6.1 Affymetrix, Inc.
  • 6.2 Agendia
  • 6.3 Agilent Technologies, Inc.
  • 6.4 Applied Biosystems Group
  • 6.5 Bayer, AG
  • 6.6 Biotage
  • 6.7 Caliper Life Sciences
  • 6.8 Celera Group
  • 6.9 Cepheid
  • 6.10 CLC bio
  • 6.11 Clinical Data, Inc.
  • 6.12 CuraGen Corporation
  • 6.13 Cytocell Ltd.
  • 6.14 diaDexus, Inc.
  • 6.15 Enzo Biochem, Inc.
  • 6.16 Exiqon A/S
  • 6.17 GE Healthcare
  • 6.18 Gene Link, Inc.
  • 6.19 Gene Logic, Inc.
  • 6.20 Genentech, Inc.
  • 6.21 Genisphere, Inc.
  • 6.22 Genomatix Software, Inc.
  • 6.23 Genomic Solutions, Inc.
  • 6.24 Gen-Probe, Inc.
  • 6.25 Harvard Bioscience, Inc.
  • 6.26 Helicos Biosciences Corporation
  • 6.27 Human Genome Sciences, Inc.
  • 6.28 Illumina, Inc.
  • 6.29 Interleukin Genetics
  • 6.30 LI-COR Biosciences
  • 6.31 Luminex Corporation
  • 6.32 Millennium Pharmaceuticals, Inc.
  • 6.33 Monogram Biosciences, Inc.
  • 6.34 Motorola, Inc.
  • 6.35 MWG Biotech AG
  • 6.36 Myriad Genetics, Inc.
  • 6.37 Nanogen, Inc.
  • 6.38 Nuvelo, Inc.
  • 6.39 Orchid Cellmark
  • 6.40 Pacific Biosciences, Inc.
  • 6.41 QIAGEN, Inc.
  • 6.42 Roche Diagnostics
  • 6.43 Sequenom, Inc.
  • 6.44 Third Wave Technologies, Inc.
  • 6.45 Verenium Corporation
  • 6.46 Visigen Technologies, Inc.
  • 6.47 Brief Profiles of Companies Marketing Personalized Genomics Products
  • 6.47.1 23andMe, Inc.
  • 6.47.2 deCODE Genetics, Inc.
  • 6.47.3 Navigenics, Inc.
  • 6.48 Brief Profiles of Other Selected Genomics Firms
  • 6.48.1 Aber Genomic Computing
  • 6.48.2 Spotfire, Inc.

7. Genomics Challenges and Growth Factors

  • 7.1 Market Drivers
    • 7.1.1 Product Pipeline: Need for More Drug Candidates
    • 7.1.2 Need for Increased Research and Development Productivity
  • 7.2 A Genomics Market Bottleneck-Bioinformatics
  • 7.3 Strategic Recommendations-Market Opportunities
    • 7.3.1 More Comprehensive Tools Are Needed
    • 7.3.2 Resolving Bottlenecks in Functional Genomics Market
  • 7.4 Key Trends of Recent Mergers and Acquisition Deals
  • 7.5 Chemogenomics
  • 7.6 Pharmacogenomics
  • 7.7 Biomarkers
  • 7.8 Additional Genomics Market Opportunities

8. Bioinformatics

  • 8.1 Types of Data and Bioinformatics Applications
    • 8.1.1 Validated Core Modeling Technology
    • 8.1.2 Broad Applicability
    • 8.1.3 Data Management Compliant with Industry Standards
    • 8.1.4 Open Architecture
    • 8.1.5 Ease of Use
    • 8.1.6 Increased Access
  • 8.2 Functions of Informatics Software
    • 8.2.1 Data Management
    • 8.2.2 Transformation of Data into Knowledge
    • 8.2.3 Collaboration Among Researchers
    • 8.2.4 Interface for Online Data Sources
  • 8.3 Target Markets for Informatics Software
    • 8.3.1 Pharmaceutical Companies
    • 8.3.2 Biotechnology Companies
    • 8.3.3 Academic and Government Research Institutions
    • 8.3.4 Agricultural, Environmental and Industrial Biotechnology Companies
  • 8.4 Products of Bioinformatics
    • 8.4.1 Sequences and Structure of Genes and Proteins
    • 8.4.2 3-D Molecular Structures
    • 8.4.3 Genome Structures and Functions
    • 8.4.4 Bibliographic Data
  • 8.5 Bioinformatics Processes
  • 8.6 Informatics Tools and Functionalities
    • 8.6.1 Sequence to Structure
    • 8.6.2 Lead Identification and Optimization
    • 8.6.3 Development and Formulation
    • 8.6.4 Improving Materials and Processes in the Chemicals Industry
    • 8.6.5 Other Materials-Based Industries
  • 8.7 Role of Bioinformatics in the Value Chain
  • 8.8 Bioinformatics Market Segments
    • 8.8.1 Database
    • 8.8.2 Hardware
    • 8.8.3 Software
    • 8.8.4 Bioinformatics Services
  • 8.9 Bioinformatics Business Models
    • 8.9.1 Changing Business Models
    • 8.9.2 Selected Business Strategies

Glossary

INDEX OF FIGURES

  • Figure 2.1: Major Areas of Functional Genomics and Their Relationship to Bioinformatics and Industry
  • Figure 8.1: Role of Bioinformatics in the Biotechnology Value Chain

INDEX OF TABLES

  • Table 2.1: Genomics Sector Global Market Size, 2001 to 2010
  • Table 2.2: Companies Marketing DNA Microarray Software
  • Table 2.3: Selected Competitors in the DNA Microarray Market
  • Table 2.4: Companies Offering DNA Sequencing Products
  • Table 2.5: Competitors in the SNP-Genotyping Segment
  • Table 2.6: Companies that Market MAQC-tested Gene Expression Microarrays
  • Table 2.7: Worldwide Market for Bioinformatics, 2005 to 2010
  • Table 2.8: Selected Companies Marketing New Functional Genomics Tools
  • Table 3.1: Genomics Pharmaceutical Market Sector Leaders and Promising Newcomers
  • Table 3.2: Summary of Assays for HIV Viral Load Testing
  • Table 3.3: Global Market for HIV Diagnostic Testing, 2000 to 2012
  • Table 3.4: Summary of Molecular Diagnostics Testing
  • Table 3.5: Global Market for Molecular Diagnostics Testing, 2000 to 2012
  • Table 3.6: U.S. Market for Molecular Diagnostics Testing, 2004 to 2012
  • Table 3.7: Applied Markets for Genomics
  • Table 3.8: Competitors in the Field of Identity Genomics Testing
  • Table 3.9: Opportunities for Molecular-Targeting Therapeutics for Cancer
  • Table 3.10: Emerging Companies in the Anti-Cancer Sector
  • Table 8.1: Data Source and Bioinformatic Investigations
  • Table 8.2: Bioinformatics Activities, Subactivities and Key Players

Microarray Markets

1. Overview

  • 1.1 Statement of Report
  • 1.2 About This Report
  • 1.3 Scope of the Report
  • 1.4 Objectives
  • 1.5 Methodology
  • 1.6 Executive Summary

2. Overview of Microarrays

  • 2.1 History of Microarrays
  • 2.2 Genomics and Proteomics
    • 2.2.1 Genetic Variability and Disease
  • 2.3 General Theory of Microarrays
  • 2.4 DNA Microarrays
  • 2.5 Protein Microarrays
  • 2.6 Tissue Microarrays

3. DNA Microarrays

  • 3.1 Advantages and Drivers
  • 3.2 Limitations and Barriers to Commercialization
  • 3.3 DNA Microarray Technology Platforms
    • 3.3.1 Reasons Why Researchers Utilize DNA Microarrays
    • 3.3.2 Factors for Difficulties Applying DNA Microarrays Technology
  • 3.4 Key Attributes of DNA Microarray Software
  • 3.5 Applications
  • 3.6 Future Directions for DNA Microarray Technology
    • 3.6.1 High-Throughput Array Technology
    • 3.6.2 Emerging Microarray Trends
    • 3.6.3 Emerging Microarray Applications
    • 3.6.4 Key Points for Developing Microarray Based Applications
  • 3.7 Competitive Landscape for DNA Microarrays

4. Protein Microarrays

  • 4.1 Critical Factors for Microarray Content
  • 4.2 Key Findings on Use of Microarrays
  • 4.3 Advantages and Drivers
  • 4.4 Limitations and Barriers to Commercialization
  • 4.5 Key Experimental Parameters of Protein Microarray Technology for Current and Future Users
  • 4.6 Reasons Why Researchers Utilize Protein Microarrays
  • 4.7 Factors for Adoption of Protein Microarrays Technology
  • 4.8 Top Suppliers of Protein Microarray Slides and Products
  • 4.9 Factors that Influence Sale Decisions
  • 4.10 Future Innovations in Protein Microarray Technology

5. Current DNA Microarrays

  • 5.1 Key Players
    • 5.2.1 Microarray-Based Commercial Genotyping Activity
    • 5.2.2 Location Analysis
  • 5.3 Future Innovations in DNA Microarray Technology

6. Current Protein Microarrays

  • 6.1 Protein Profiling Microarrays-Antibody Arrays
  • 6.2 Protein Profiling Microarrays-Reverse Phase Microarrays
  • 6.3 Multiplex Sandwich Microarrays-Planar
  • 6.4 Multiplex Sandwich Immunoassays-Bead Based
  • 6.5 Microarrays for Protein Function Studies
  • 6.6 High Growth Applications
    • 6.6.1 Cytokine Arrays
    • 6.6.2 Whole Proteome Arrays
    • 6.6.3 Microarray-Based Commercial Genotyping Activity
      • 6.6.3.1 Microarray-Based Genotyping Applications
      • 6.6.3.2 Microbial Applications
      • 6.6.3.3 The Market for Microbial Genotyping Products
      • 6.6.3.4 Comparative Genomic Hybridization (CGH)
    • 6.6.4 ChIP-on-Chip Analysis

7. Technology

  • 7.1 Production of Microarrays
  • 7.2 2-D Versus 3-D Technology
  • 7.3 Substrates and Surface Chemistries
  • 7.4 Detection Methods
  • 7.5 Instruments
  • 7.6 Data Management and Informatics in Gene Expression

8. Applications

  • 8.1 DNA Microarrays in Gene Expression
  • 8.2 DNA Microarrays in SNP Analysis
  • 8.3 DNA Microarrays in Cancer
  • 8.4 Protein Expression
    • 8.4.1 Cytokine Applications
    • 8.4.2 Protein Function
    • 8.4.3 Protein-Protein Interactions
  • 8.5 Target /Biomarker Discovery
  • 8.6 Drug Discovery and Development (Gene and Protein Microarrays)
  • 8.7 Clinical Diagnostics (Gene and Protein Microarrays)
  • 8.8 RNA Microarrays
  • 8.9 Oligo Microarrays
  • 8.10 Yeast Microarrays
  • 8.11 Antibody Arrays
  • 8.12 Arrays for Toxicogenomics

9. The Commercial Opportunity for Microarrays

  • 9.1 Market Drivers for Microarrays
  • 9.2 Market Restraints for Microarrays
  • 9.3 Key Players
  • 9.4 Market Size, Strategic Trends and Competitive Landscape for Protein Arrays
  • 9.5 Marketing and Distribution
  • 9.6 Protein Arrays Market Analysis
  • 9.7 Genes Associated with Major Diseases
  • 9.8 Software and Data Analysis
    • 9.8.1 Supplier of DNA Microarray Analysis Software
    • 9.8.2 Satisfaction with Software Features
    • 9.8.3 Satisfaction with Software
    • 9.8.4 Supplier Factors in Software Purchase Decision
    • 9.8.5 Suppliers' Role in Improving Data Sharing for DNA Microarrays

10. Company Profiles

  • 10.1 Manufacturers

LIST OF FIGURES

  • Figure 6.1: Cytokines and Growth Factors: Sources of Microarrays for Cytokine Research
  • Figure 8.1: Microbial Genotyping: Applications for DNA Microarrays
  • Figure 8.2: Source of Variation in Microarray Data
  • Figure 8.3: Toxicogenomics: DNA Microarrays

LIST OF TABLES

  • Table 3.1: Microarray Product Revenue: Arrays, Reagents and Instruments, 2005 and 2010
  • Table 3.2: Microarray Market Drivers
  • Table 3.3: Microarray Market Barriers
  • Table 3.4: Unit Pricing of DNA Microarrays, 2000-2010
  • Table 3.5: Steps in the Design and Implementation of a DNA Microarray Experiment
  • Table 3.6: Microarray Applications
  • Table 3.7: List of DNA Array Manufacturers
  • Table 4.1: Critical Factors for Microarray Content
  • Table 4.2: Top Three Suppliers of Treated Protein Microarray Surfaces for Self-Printing
  • Table 4.3: Top Suppliers of Commercially Available Protein Microarrays
  • Table 4.4: Top Suppliers of Protein Microarray Readers
  • Table 5.1: Affymetrix Sales of Probe Arrays, 2000-2007
  • Table 5.2: Affymetrix Total Product Sales, 1999-2007
  • Table 5.3: Affymetrix Instrument Sales, 2000-2007
  • Table 6.1: Microarray Genetic Testing
  • Table 6.2: ChIP-on-Chip Microarray Market Size Projections, 2005-2011
  • Table 8.1: Applications of Biochips by Class
  • Table 8.2: Diagnostics Microarray Market Size Projections, 2005-2011
  • Table 8.3: HTS Microarray Market Size Projections, 2005-2011
  • Table 8.4: Pharmacogenomics Microarray Market Size Projections, 2005-2011
  • Table 8.5: Toxicology Screening Microarray Market Size Projections, 2005-2011
  • Table 8.6: Expression Profiling Microarray Market Size Projections, 2005-2011
  • Table 9.1: Market Share of Microarray Products, 2006
  • Table 9.2: Affymetrix Product Sales
  • Table 9.3: Leading Microarray Companies
  • Table 9.4: Worldwide Microarray Market Size, 2004-2012
  • Table 9.5: Microarray Market Share by Technology Type
  • Table 9.6: DNA Microarray U.S. Market Size, 2005-2011
  • Table 9.7: DNA Microarray Worldwide Market Size, 2002-2011
  • Table 9.8: Biochip Market by Usage, 2003 and 2007

Personalized Medicine

1. Overview

  • 1.1 Statement of Report
  • 1.2 Scope of this Report
  • 1.3 Methodology
  • 1.4 Executive Summary

2. The Case for Pharmacogenomics and Personalized Medicine: Biology, Approaches, Pipeline and Regulatory Trends

  • 2.1 Scope of this Section
  • 2.2 Introduction to Pharmacogenomics/Personalized Medicine
  • 2.3 The Compelling Case for Personalized Medicine
  • 2.4 The Process of Drug Metabolism and Implications for Pharmacogenomics/Personalized Medicine
  • 2.5 Examples of Personalized Medicine
    • 2.5.1 Herceptin
    • 2.5.2 Ziagen
    • 2.5.3 Iressa
    • 2.5.4 Erbitux
  • 2.6 Personalized Medicine Product Pipeline
  • 2.7 The Personalized Medicine Coalition
  • 2.8 Regulatory Trends and Guidelines in the Personalized Medicine Space
  • 2.9 FDA Approved Agendia' s MammaPrintR Diagnostic-The First IVDMIA to be Approved
  • 2.10 A Changing Regulatory Landscape for Personalized Medicine
  • 2.11 Patenting Personalized Medicine
    • 2.11.1 U.S. Supreme Court Dismisses LabCorp Appeal
  • 2.12 The Leading Edge of Personalized Medicine: Specific Examples of Clinical Situations Where Personalized Medicine is Appropriate and Being Used
    • 2.12.1 EGFR Assay
    • 2.12.2 Individualized Warfarin Therapy
    • 2.12.3 UGT1A1 Molecular Assay for Camptosar
    • 2.12.4 Response to Gleevec in Gastrointestinal Stromal Tumors
    • 2.12.5 LabCorp, ARCA Personalized Medicine Deal for Cardiovascular Diseases
    • 2.12.6 Osmetech Licenses Epidauros Biotechnologie AG CYP2D6 Biomarker to Push into Pharmacogenomics

3. Pharmacogenomics/Personalized Medicine: Qualitative and Quantitative Market Analysis

  • 3.1 Scope of this Section
  • 3.2 Market Analysis of Molecular Diagnostics as it Relates to Pharmacogenomics/Personalized Medicine
  • 3.3 Snapshot of Diagnostics Industry Structure
  • 3.4 The Case for Theranostics (Therapeutic/Companion Diagnostic)
  • 3.5 Classification of Diagnostics by Risk
  • 3.6 Personalized Medicine Market Analysis-Market Survey Data Characterizing the Qualitative and Quantitative Industry Parameters
  • 3.7 Segmentation of the Personalized Medicine Marketplace
  • 3.8 Timeline for Impact of Various Segments in Personalized Medicine
  • 3.9 Challenges for Personalized Therapeutics Development
  • 3.10 Molecular Diagnostics Technology Platforms and Their Impact on Personalized Medicine
  • 3.11 Macro Trends in Personalized Medicine
  • 3.12 Personalized Medicine: Industry SWOT Analysis

4. Company Profiles

  • 4.1 Abbott Molecular, Inc./Vysis
  • 4.2 Affymetrix, Inc.
  • 4.3 Agendia
  • 4.4 Celera Diagnostics
  • 4.5 Cepheid
  • 4.6 Clinical Data, Inc.
  • 4.7 Dakocytomation
  • 4.8 deCODE Genetics
  • 4.9 DNA Direct, Inc.
  • 4.10 DxS Ltd.
  • 4.11 Exact Sciences Corp.
  • 4.12 Exagen Diagnostics, Inc.
  • 4.13 Gen-Probe
  • 4.14 Genelex Corp.
  • 4.15 Gene Logic, Inc.
  • 4.16 Genentech, Inc.
  • 4.17 Genomic Health, Inc.
  • 4.18 Genzyme Genetics
  • 4.19 Illumina
  • 4.20 Luminex Corporation/Tm Biosciences
  • 4.21 Monogram Biosciences
  • 4.22 Myriad Genetics, Inc.
  • 4.23 Nanogen
  • 4.24 Osmetech plc
  • 4.25 Perlegen Sciences, Inc.
  • 4.26 PGxl Laboratories
  • 4.27 Prometheus Laboratories, Inc.
  • 4.28 Roche Diagnostics
  • 4.29 Siemens Medical Solutions Diagnostics
  • 4.30 Target Discovery, Inc.
  • 4.31 Third Wave Technologies
  • 4.32 Ventana Medical Systems
  • 4.33 XDx, Inc.

Appendix 1: Qualitative Market Responses

LIST OF FIGURES

  • Figure 2.1: Phase I and II Processes of Drug Metabolism
  • Figure 2.2: Human Phase I Enzymes
  • Figure 2.3: Human Phase II Enzymes
  • Figure 2.4: Hepatic Distribution of Human CYP450
  • Figure 2.5: Relative Contribution of CYP450 Enzymes to Drug Metabolism
  • Figure 2.6: Genetic Components Determine Drug Metabolism
  • Figure 3.1: From Genetic Content to Personalized Medicine
  • Figure 3.2: The Lopsided Remuneration for Diagnostics
  • Figure 3.3: Breakout of the Molecular Diagnostics Marketplace
  • Figure 3.4: Molecular Diagnostics Market Segmentation
  • Figure 3.5: Molecular Diagnostics Market Segmentation by Technology
  • Figure 3.6: Market Survey Respondent Demographics
  • Figure 3.7: Breakout of the Respondent Pool by Affiliation
  • Figure 3.8: Segmentation of the Personalized Medicine Market
  • Figure 3.9: Personalized Medicine Market Drivers
  • Figure 3.10: Challenges in the Personalized Medicine Space

LIST OF TABLES

  • Table 2.1: Personalized Medicine at the Nexus Point
  • Table 2.2: Percentage of Non-Responders in Various Drug Classes
  • Table 2.3: High Profile Drug Withdrawals from the Marketplace
  • Table 2.4: Drug Metabolism Drives Drug Efficacy/Toxicity
  • Table 2.5: Population Frequency of the Various Cytochromes
  • Table 2.6: List of Personalized Medicine Tests
  • Table 2.7: Personalized Medicine Product Pipeline
  • Table 2.8: Marketed Personalized Therapies, 2006
  • Table 2.9: Current Targets, Drugs and Disease Areas Classified by their Clinical Applications
  • Table 3.1: Areas in Personalized Medicine-Timeline of Impact
  • Table 3.2: Impact of Personalized Medicine on Various Therapeutic Areas
  • Table 3.3: Hurdles in Personalized Medicine Development in Various Therapeutic Areas
  • Table 3.4: Various Molecular Diagnostics Technologies: Timeline for Impact
  • Table 3.5: Various Molecular Diagnostics Technologies: Impact on Different Therapeutic Areas in Personalized Medicine
  • Table 3.6: Various Molecular Diagnostics Technologies: Technical Challenges in the Deployment for Personalized Medicine
  • Table 3.7: Market Opportunities in Personalized Medicine
  • Table 3.8: Challenges for Market Adoption of the Various Personalized Medicine Tests
  • Table 3.9: Personalized Medicine Industry SWOT

Pharmacogenomics for Clinical Use and in Drug Development

1. Overview

  • 1.1 Statement of Report
  • 1.2 Objectives of this Report
  • 1.3 Scope of the Study
  • 1.4 Methodology
  • 1.5 Executive Summary

2. Introduction

  • 2.1 Pharmacogenomic Testing Overview
  • 2.1.1 Clinical Applications
  • 2.1.2 Technologies for Pharmacogenomic Diagnostic Tools
  • 2.1.3 Drug and Diagnostic Combinations
  • 2.1.4 Economic Impact of Healthcare Costs
  • 2.2 Genetic Variation among Individuals
    • 2.2.1 Population Genomics
    • 2.2.2 SNPs and Haplotypes
    • 2.2.3 HapMap
      • 2.2.3.1 The International HapMap Project
      • 2.2.3.2 HapMap Participants and Funding Sources
  • 2.3 Drug Metabolism
    • 2.3.1 Adverse Drug Reactions (ADRs)
    • 2.3.2 Drug-Test Combinations
  • 2.4 Impact of Pharmacogenomics
    • 2.4.1 How Will Gene Variation Be Used in Predicting Drug Response?
    • 2.4.2 How Will Drug Development and Testing Benefit from Pharmacogenomics?
    • 2.4.3 Advantages of Pharmacogenomics
    • 2.4.4 The Diagnostics-Therapeutics Fusion
    • 2.4.5 Potential Challenges
    • 2.4.6 Poor Metabolizer Phenotype Testing
    • 2.4.7 Drug Repositioning
  • 2.5 Pharmacogenomic Tests
    • 2.5.1 CYP2D6
    • 2.5.2 CYP2C19 and CYP2C9
    • 2.5.3 CYP3A4 and CYP3A5 Genotyping
    • 2.5.4 CYP1A2 and CYP2B6
    • 2.5.5 NAT2, DPD, and UGT1A1
  • 2.6 HercepTest
  • 2.7 Drivers of Pharmacogenomic Testing
  • 2.8 Pharmacogenomics and Drug Discovery
    • 2.8.1 Business Implications of Pharmacogenomics in Drug Discovery
    • 2.8.2 Impact of Pharmacogenomics on Drug Sales
    • 2.8.3 Pressure to Optimize Drug Discovery Drives Use of Pharmacogenomics

3. Pharmacogenomic Testing Market: Size, Growth and Share

  • 3.1 Global Pharmacogenomic Testing Markets by Technology Segments
    • 3.1.1 Market Structure
    • 3.1.2 Market Drivers in the Pharmacogenomic Diagnostics Testing Sector
    • 3.1.3 Market Restraints in Pharmacogenomic Diagnostic Testing Segment
    • 3.1.4 Principal Market Segments for Genomics Testing
      • 3.1.4.1 Diagnostic Testing
      • 3.1.4.2 Pharmacogenomic Testing
      • 3.1.4.3 SNP Identification
    • 3.1.5 Key Players in the Pharmacogenomic Diagnostics Testing Segment
    • 3.1.6 Pharmacogenomic Testing Sector Analysis
  • 3.2 U.S. Pharmacogenomic Testing Market
    • 3.2.1 Market Overview
    • 3.2.2 Diagnostic Testing Categories
  • 3.3 European Pharmacogenomic Diagnostic Testing Market
  • 3.4 Japanese Diagnostic Testing Market

4. Pharmacogenomic Disease Markers

  • 4.1 SNPs
    • 4.1.1 SNP Identification Market
    • 4.1.2 Overview of SNP Identification
    • 4.1.3 Strategies for SNP Identification
    • 4.1.4 Candidate Gene Selection
    • 4.1.5 Whole-Genome Linkage Disequilibrium Mapping
    • 4.1.6 SNP Databases
    • 4.1.7 Computational Tools for SNP Identification
    • 4.1.8 SNPbrowser, Applied Biosystems
    • 4.1.9 Progeny Suite, Progeny Software, LLC
    • 4.1.10 Sentrix Array Matrix, Illumina
    • 4.1.11 Third Wave Technologies (a Hologic Company)
  • 4.2 Predictive Pharmacogenomics
    • 4.2.1 Cancer Testing
    • 4.2.2 Breast Cancer
    • 4.2.3 Melanoma
    • 4.2.4 Colon Cancer
    • 4.2.5 Predictive Cancer Testing Market Size
    • 4.2.6 Prostate Cancer
    • 4.2.7 Lung Cancer
    • 4.2.8 Acute Myelocytic Leukemia (AML)
    • 4.2.9 Cystic Fibrosis
    • 4.2.10 Genetic Test for Cardiac Ion Channel Mutations (Cardiac Channelopathies)
    • 4.2.11 Cardiac Transplants
    • 4.2.12 Thiopurine S-methyltransferase (TPMT) Genetic Test
    • 4.2.13 CARING Study
    • 4.2.14 Vilazodone
    • 4.2.15 STRENGTH Trials (Statin Response Examined by Genetic HAP Markers)
    • 4.2.16 HIV and AIDS
    • 4.2.17 Herceptin and Tykerb
    • 4.2.18 Asthma
    • 4.2.19 Hepatitis C Viral Load
  • 4.3 Examining the Impact of Pharmacogenomics in Specific Disease Application
    • 4.3.1 The Impact of Pharmacogenomics in Bipolar and Other Psychiatric Disorders
    • 4.3.2 Pharmacogenomics in Warfarin Treatment
    • 4.3.3 Pharmacogenomics and Breast Cancer Treatment
    • 4.3.4 Pharmacogenomics of Depression
      • 4.3.4.1 Tricyclic Antidepressants
      • 4.3.4.2 Serotonin Re-uptake Inhibitors
      • 4.3.4.3 Mirtazapine and Venlafaxine
      • 4.3.4.4 Nefazodone, Moclobemide, Reboxetine and Trazodone
    • 4.3.5 Pharmacogenomics of Cardiovascular Disease
      • 4.3.5.1 Beta-blockers
      • 4.3.5.2 Angiotensin II Type 1 Receptor Antagonists and AT1 Receptor Antagonists (Sartans)
    • 4.3.6 Pharmacogenomics of Thromboembolic Disorders
      • 4.3.6.1 Warfarin
      • 4.3.6.2 Acenocoumarol
      • 4.3.6.3 Phenprocoumon
  • 4.4 Gene Chips to Detect Cytochrome Variations
    • 4.4.1 AmpliChip CYP450-Roche Diagnostics
    • 4.4.2 GeneChip System-Affymetrix
    • 4.4.3 NanoChip Molecular Biology Workstation-Nanogen, Inc.

5. Pharmacogenomic Testing: Development Issues

  • 5.1 Adoption of Pharmacogenomic Testing
    • 5.1.1 Pharmacogenomics Gatekeepers
      • 5.1.1.1 Industry
        • 5.1.1.1.1 Use of Pharmacogenomics in Drug Development
        • 5.1.1.1.2 Co-development of Pharmacogenomics Diagnostics and Drugs
      • 5.1.1.2 FDA as a Gatekeeper of Pharmacogenomics
  • 5.2 Factors Influencing the Integration of Pharmacogenomics into Clinical Trials
  • 5.3 Moderators of Growth
    • 5.3.1 Classification of Extensive vs. Poor Metabolizer
    • 5.3.2 Genetic Testing
    • 5.3.3 Cost-Benefit of Pharmacogenomic Testing
    • 5.3.4 Workforce Issues
    • 5.3.5 Reimbursement
    • 5.3.6 New CPT Test Codes and Payment Amounts
    • 5.3.7 CMS and Other Third-party Payers
      • 5.3.7.1 Reimbursement Challenges to Pharmacogenomic Testing
      • 5.3.7.2 CMS Regulatory Responsibilities
      • 5.3.7.3 Costs Associated with Pharmacogenomic Testing
  • 5.4 Clinical Guidelines and Pharmacogenomic Testing
  • 5.5 Good Laboratory Practice (GLP)
  • 5.6 Quality Assurance Issues
    • 5.6.1 Criteria Required to Establish a Genomic Test for Clinical Use
    • 5.6.2 Microarrays in Clinical Diagnostic Use
  • 5.7 Pre-therapeutic Pharmacogenomic Testing
  • 5.8 Regulatory Requirements
  • 5.9 Screening
  • 5.10 Cost of Phenotyping vs. Genotyping
  • 5.11 Pharmacogenomic Tests: New Product Development
  • 5.12 Underutilization of Pharmacogenomic Tests

6. Business Trends in the Industry

  • 6.1 Pharmacogenomic Initiatives within Pharmaceutical Companies
  • 6.2 Pharmacogenomic Testing Growth Factors
  • 6.3 Acquisition, License Agreements, Internal Development and Partnerships
  • 6.4 Product Testing Depth in Pharmacogenomic Testing
  • 6.5 Government Regulation
    • 6.5.1 U.S. Regulations
    • 6.5.2 U.K. Regulations
    • 6.5.3 E.U. Regulations
    • 6.5.4 Japanese Regulations
  • 6.6 Increased Market Penetration in Pharmacogenomic Testing
  • 6.7 Legal Issues
    • 6.7.1 Federal Policy History
    • 6.7.2 State Policy History
    • 6.7.3 Federal Anti-Discrimination Laws and How They Apply to Genetics
      • 6.7.3.1 The Genetic Information Nondiscrimination Act of 2008 (GINA)
    • 6.7.4 Prescription Drug User Fee Act (PDUFA)
    • 6.7.5 Liability Concerns for Pharmacogenomics Drug and Diagnostic Developers
  • 6.8 Barriers to Growth
  • 6.9 Drivers of Growth
  • 6.10 Product Launches and Developments
  • 6.11 Investment Parameters for Diagnostic Companies
  • 6.12 Key Elements of the Pharmaceutical Value Chain
  • 6.13 An Evaluation of Successful Pharmacogenomic Business Models
  • 6.14 Ethical Considerations for Pharmacogenomic Applications
  • 6.15 Drug Repositioning Services
  • 6.16 Patent Protection of Pharmacogenomic Technology
  • 6.17 FDA Product Submission and Review Process
  • 6.18 FDA Pipeline for Pharmacogenomic Tests
  • 6.19 Adaptive Clinical Trial Design

7. Important Technology Trends in Pharmacogenomics

  • 7.1 Trends in Pharmacogenomic Testing
    • 7.1.1 Toxicogenomics
  • 7.2 Drug Metabolism
  • 7.3 Personalized Medicine: the Genomic and Proteomic Approach
  • 7.4 Biomarkers
    • 7.4.1 Cancer
      • 7.4.1.1 Leukemia: Gleevec and Dasatinib (BMS-354825)
      • 7.4.1.2 Gefitinib (Iressa)
      • 7.4.1.3 Colorectal Cancer
  • 7.5 Cardiovascular Drugs
    • 7.5.1 Arrhythmia
    • 7.5.2 Hypertension
    • 7.5.3 Hyperlipidemia
    • 7.5.4 Myocardial Infarction
    • 7.5.5 Heart Failure
  • 7.6 Future Developments
    • 7.6.1 GSK' s Pharmacogenomic Program
    • 7.6.2 Roche' s Biomarker Strategy
    • 7.6.3 Hypertension Markets
    • 7.6.4 Expression Data to Integrate Pharmacology and Chemistry Data
    • 7.6.5 Metabolomics
    • 7.6.6 Theranostics

8. Overview and Conclusions

  • 8.1 The Unrealized Promise of Pharmacogenomics
  • 8.2 The New Drug Pipeline
  • 8.3 Pharmacogenomics and Regulation
  • 8.4 Pharmacogenomics and Reimbursement
  • 8.5 Key Considerations for Realizing the Promise of Pharmacogenomics
  • 8.6 Development of Easy to Use Point of Care Pharmacogenomic Tests
  • 8.7 Development of Pharmacogenomic Tests during Drug Development
  • 8.8 Pharmacogenomics' Impact on Commercial Strategies
  • 8.9 Pharmacogenomics' Impact on the Blockbuster Model of Drug Development
  • 8.10 Pharmacogenomics' Impact on Clinical Trials
  • 8.11 Pharmacogenomic Business Models
  • 8.12 Structure of Pharmacogenomic Deals and Alliances
  • 8.13 Challenges to Pharmacogenomics

9. Company Profiles

  • 9.1 Abbott Laboratories
  • 9.2 Affymetrix
  • 9.3 Agilent Technologies, Inc.
  • 9.4 Ambry Genetics
  • 9.5 ARCA Biopharma, Inc.
  • 9.6 Asper Biotech
  • 9.7 AstraZeneca
  • 9.8 Bayer
  • 9.9 BioTrove, Inc.
  • 9.10 Bristol-Myers Squibb
  • 9.11 Celera Group
  • 9.12 Clinical Data
  • 9.13 CombinatoRx, Inc.
  • 9.14 Complement Genomics Ltd.
  • 9.15 Covance Inc.
  • 9.16 CuraGen Corporation
  • 9.17 Cypress Bioscience, Inc.
  • 9.18 Dako (formerly DakoCytomation)
  • 9.19 deCODE Genetics
  • 9.20 DNAPrint Genomics
  • 9.21 DxS
  • 9.22 EraGen Biosciences
  • 9.23 EXACT Sciences
  • 9.24 Expression Analysis
  • 9.25 FivePrime Therapeutics
  • 9.26 GE Healthcare
  • 9.27 Gene Express, Inc.
  • 9.28 GeneGO Inc.
  • 9.29 Genelex Corporation
  • 9.30 Genentech
  • 9.31 Genizon Biosciences Inc.
  • 9.32 Genomic Health
  • 9.33 Gentris
  • 9.34 Genzyme
  • 9.35 GlaxoSmithKline
  • 9.36 g-Nostics Ltd.
  • 9.37 Hologic
  • 9.38 Human Genome Sciences
  • 9.39 Illumina
  • 9.40 Incyte, Inc.
  • 9.41 InterGenetics Inc.
  • 9.42 Interleukin Genetics
  • 9.43 Iris BioTechnologies Inc.
  • 9.44 Johnson & Johnson
  • 9.45 Lab21
  • 9.46 Life Technologies Corporation
  • 9.47 Luminex Corp.
  • 9.48 MediBIC Group
  • 9.49 Melior Discovery Inc.
  • 9.50 Merck & Co.
  • 9.51 Merck Serano
  • 9.52 Millennium Pharmaceuticals
  • 9.53 Monogram Biosciences, Inc.
  • 9.54 Myriad Genetics, Inc.
  • 9.55 Nanogen
  • 9.56 Nanosphere
  • 9.57 Nitromed
  • 9.58 Ocimum Biosolutions
  • 9.59 Orchid Cellmark
  • 9.60 Ore Pharmaceuticals
  • 9.61 PharmaSeq
  • 9.62 Prediction Sciences
  • 9.63 Predictive Biosciences
  • 9.64 Prometheus Laboratories
  • 9.65 Progeny Software, LLC
  • 9.66 Roche Diagnostics
  • 9.67 Response Genetics, Inc.
  • 9.68 Sequenom
  • 9.69 SimuGen Ltd.
  • 9.70 Sosei Group Corporation
  • 9.71 Transgenomic, Inc.
  • 9.72 TrimGen Corp.
  • 9.73 Tripos International
  • 9.74 Vertex Pharmaceuticals
  • 9.75 VIA Pharmaceuticals, Inc.
  • 9.76 Warnex
  • 9.77 Wyeth
  • 9.78 XDx, Inc.

INDEX OF FIGURES

  • Figure 2.1: Roche AmpliChip
  • Figure 2.2: FDA Approval Rates for NME Drug Applications vs. R&D Expenditures, 1998-2008
  • Figure 2.3: Steps Involved in Bringing a Drug to Market
  • Figure 2.4: CYP2C9
  • Figure 6.1: Total Spending on Healthcare in the U.S., 1960-2008
  • Figure 6.2: The Healthcare Dollar, 2008

INDEX OF TABLES

  • Table 1.1: The Success of Pharmacogenomics: Drugs that Utilize Companion Tests, 2008
  • Table 2.1: The Difference between Pharmacogenomics and Pharmacogenetics
  • Table 2.2: Clinical Applications of Diagnostic Pharmacogenomic Testing
  • Table 2.3: Comparison of New Molecular Entity Outcomes for FDA and EMEA (Jan 2006 - October 2008)
  • Table 2.4: Timeline for Development of Companion Diagnostics
  • Table 2.5: Valid Genomic Biomarkers in the Context of FDA-Approved Drug Labels
  • Table 2.6: Potential Benefits of Biomarkers as Companion Diagnostics in Drug Development
  • Table 2.7: Groups Participating in the International HapMap Project
  • Table 2.8: High-Profile Drug Withdrawals from the Marketplace
  • Table 2.9: Response Rates of Patients to a Major Drug for Selected Therapeutic Areas
  • Table 2.10 Factors That Determine a Successful Pharmacogenomic Test
  • Table 2.11: Pharmacogenomics' Influence on Drug Sales
  • Table 2.12: Pharmacogenomics' Effect on Maximizing R&D Productivity
  • Table 2.13: Prevalence of Metabolically-Active Enzymes
  • Table 2.14: Pharmacogenomics in Phase II and Phase III Trials
  • Table 2.15: Drug Testing
  • Table 2.16: Factors Affecting Variability in Individual Response to Drug Therapy
  • Table 2.17: CYP2D6 Characteristics
  • Table 2.18: CYP2D6 Metabolism of Drug Types
  • Table 2.19: CYP2C19
  • Table 2.20: CYP2C19 Metabolism of Drug Types
  • Table 2.21: CYP2C9 Characteristics
  • Table 2.22: CYP2C9 Metabolism of Drug Types
  • Table 2.23: CYP3A4/5/7 Metabolism of Drug Types
  • Table 2.24: CYP1A2 Metabolism of Drug Types
  • Table 2.25: CYP2B6 Metabolism of Drug Types
  • Table 2.26: Drivers of Pharmacogenomic Testing
  • Table 2.27: Markets for Pharmacogenomic Testing
  • Table 3.1: Worldwide Pharmacogenomic Market Size by Technology Segments, 2004-2012
  • Table 3.2: Total Pharmacogenomic Testing Market Size, 2001-2012
  • Table 3.3: Diagnostic Pharmacogenomic Testing Market Size, 2001-2012
  • Table 3.4: Benefits of Pharmacogenomic Diagnostics in Patient Care
  • Table 3.5: Genotyping Pharmacogenomic Testing Market Size, 2001-2012
  • Table 3.6: Benefits of Pharmacogenomics in Clinical Trials and Drug Development
  • Table 3.7: Five Key Action Points for Pharmaceutical Companies
  • Table 3.8: Global SNP Identification Tools Market Size, 2004-2012
  • Table 3.9: Pharmacogenomic Testing Market Structure
  • Table 3.10: P450 Isozymes and Pharmaceuticals
  • Table 3.11: List of Companies that Market Pharmacogenomic Tests
  • Table 3.12: Key Collaborations in the Pharmacogenomics Industry
  • Table 3.13: Prominent Drugs Withdrawn from the Market
  • Table 3.14: Key Elements in the Drug Development Process
  • Table 3.15: Major Suppliers of PCR-based Assays and PCR-based Technologies
  • Table 4.1: Methods for Performing NAT
  • Table 4.2: SNP Databases
  • Table 4.3: Myriad Genetics Predictive Medicine Sales, 2001-2008
  • Table 4.4: DNA-based Predictive Medicine Product Sales for Cancer, 2006-2010
  • Table 4.5: Developmental Atherosclerosis Drugs
  • Table 4.6: Summary of Assays for HIV Viral Load Testing
  • Table 4.7: U.S. Market Share of HIV Testing Kits
  • Table 4.8: Global HIV Statistics, 2007
  • Table 4.9: List of Approved HIV/AIDS Rapid Test Kits, 2009
  • Table 4.10: Monogram Bioscience, Inc. Products for HIV Testing
  • Table 4.11: CCR-5 Receptor Agonists in Development, 2009
  • Table 4.12: Asthma Therapeutic Drug Pipeline
  • Table 4.13: Psychiatric Case Studies, Organized Pharmacokinetically
  • Table 4.14: Antidepressant Drugs Decreased Clearance with DME CYP2D6
  • Table 4.15: Antidepressant Drugs with No Effect Clearance with DME CYP2D6
  • Table 5.1: Examples of Gene-Drug Pharmacogenomic Relationships
  • Table 5.2: Estimated Cost and Time for Typing of the BRCA1 Gene by Direct Sequencing vs. SNP Array
  • Table 5.3: Average Cost of Resistance Testing, 2007
  • Table 6.1: U.S. Prescription Drug Expenditures, 2003-2015
  • Table 6.2: U.S. Pharmaceutical Market, 1996-2009
  • Table 6.3: Top Ten Global Pharmaceutical Companies by Global Sales, 2007
  • Table 6.4: Pharmaceutical Companies Ranked by Total R&D Expenditures, 2007
  • Table 6.5: Leading Therapy Classes for R&D, 2008
  • Table 6.6: Leading Therapy Classes by Global Pharmaceutical Sales (Audited Market), 2007
  • Table 6.7: Number of NME Approvals and Mean Approval Times, 1984-2008
  • Table 6.8: Global Market for Tools and Consumables Used in Drug Discovery and Development, 1999-2010
  • Table 6.9: Leading Therapeutic Classes by U.S. Sales, 2006 and 2007
  • Table 6.10: Top Ten Therapeutic Classes by U.S. Dispensed Prescriptions, 2006 and 2007
  • Table 6.11: Top Ten Brand Drugs by U.S. Retail, 2007
  • Table 7.1: Select Companies Developing Cancer Diagnostics Available as Analyte Specific Reagents (ASRS)
  • Table 7.2: Emerging Fields in Biological Science with the Potential to Impact Personalized Medicine

RNA Interference Markets

1. Overview

  • 1.1 Objectives
  • 1.2 Scope
  • 1.3 Methodology
  • 1.4 Executive Summary

2. RNA Interference (RNAi)

  • 2.1 Introduction
  • 2.2 Overview of RNA Interference
    • 2.2.1 Classes of Endogenous Small RNAs: siRNA, rasiRNA and miRNA
    • 2.2.2 Mechanism of RNAi In Vivo
  • 2.3 Glossary
  • 2.4 What Areas of Research Does RNAi Impact?
    • 2.4.1 RNAi Technology in Life Sciences Research, Drug Discovery and Development
    • 2.4.2 RNAi Technology in Agriculture

3. Technology Trends in RNAi Space

  • 3.1 Overview
  • 3.2 End-User Segmentation
  • 3.3 Technologies for Inducing RNAi
    • 3.3.1 Methods for Detecting Gene Silencing
    • 3.3.2 Comparison of Strategies for Target Validation
    • 3.3.3 Libraries of siRNAs/shRNAs to Knock Down Genes En Masse
  • 3.4 miRNA-Based RNAi: The Leading Edge of RNAi Space
    • 3.4.1 Biological Function of miRNAs
    • 3.4.2 Role of miRNAs in Disease
    • 3.4.3 miRNA-based Diagnostics
    • 3.4.4 miRNA-based Therapeutics
  • 3.5 Market Shifts in RNAi Space: Where Is It Headed?
    • 3.5.1 Intellectual Property and Patent Issues
    • 3.5.2 Patents Covering the Molecular Characteristics of the RNAi Agent
    • 3.5.3 Funding in RNAi Space: Grants, Venture Capital and IPOs
    • 3.5.4 Partnerships, Alliances, Mergers and Acquisitions
  • 3.6 SWOT Analysis of Technologies and Vendors in RNAi Space

4. RNAi Market Analysis

  • 4.1 Overview
  • 4.2 Market Data Collection and Respondent Pool
    • 4.2.1 Respondent Pool Characteristics
  • 4.3 RNAi Technologies / Products in Research Applications
  • 4.4 RNAi Technologies/Products: Market Shares (Quantitative)
  • 4.5 Quantitative Metrics of RNAi Usage: Market Opportunity and Growth
    • 4.5.1 Growth of Various Segments in RNAi Space
    • 4.5.2 Product Formats and Representation in RNAi Marketplace
  • 4.6 RNAi Marketplace: Challenges, Unmet Needs and Drivers
    • 4.6.1 Unmet Needs in RNAi Space
    • 4.6.2 RNAi Market: Qualitative Growth Drivers

5. The RNAi Landscape

  • 5.1 Overview
  • 5.2 Market Segmentation of RNAi and Segment Characteristics
  • 5.3 Quantitative Market Opportunities in RNAi Space
    • 5.3.1 Opportunities in miRNA Space
    • 5.3.2 Opportunities in siRNA/shRNA Space
  • 5.4 RNAi Product Offerings and Associated Business Models
  • 5.5 Challenges for RNAi Therapeutic Development

6. RNAi-Based Therapeutics: The Emerging Industry Landscape

  • 6.1 Factors Contributing to the Success of RNAi Therapeutics
  • 6.2 Advantages and Disadvantages of siRNA-based Drugs
  • 6.3 Opportunities and Challenges with RNAi-based Therapeutics
  • 6.4 The Gene Therapy Precedent
  • 6.5 The Antisense Precedent
  • 6.6 Interferon Response
  • 6.7 Delivery of RNAi-based Therapeutics
  • 6.8 Off-Target Effects
  • 6.9 Overwhelming the Endogenous RNAi System-Affecting the microRNA Pathway
  • 6.10 RNAi-based Therapeutics
    • 6.10.1 Cancer
    • 6.10.2 Cardiac Disease
    • 6.10.3 Immunologic Disease
    • 6.10.4 Infectious Disease
    • 6.10.5 Inflammation
    • 6.10.6 Lifestyle Therapeutics
    • 6.10.7 Metabolic Disease
    • 6.10.8 Neurologic Disease
    • 6.10.9 Ophthalmic Disease
    • 6.10.10 Renal Disease
    • 6.10.11 Respiratory Disease

7. Company Profiles-U.S.

  • 7.1 Alfacell Corporation
  • 7.2 Allele Biotechnology and Pharmaceuticals, Inc.
  • 7.3 Alnylam Pharmaceuticals
  • 7.4 Ambion
  • 7.5 Asuragen, Inc.
  • 7.6 Avalon Pharmaceuticals, Inc.
  • 7.7 B-Bridge International, Inc.
  • 7.8 Bio-Rad Laboratories
  • 7.9 Calando Pharmaceuticals, Inc.
  • 7.10 Cepheid
  • 7.11 Cequent
  • 7.12 Clontech Laboratories, Inc.
  • 7.13 CombiMatrix Corporation
  • 7.14 Cyntellect, Inc.
  • 7.15 CytRx Corp.
  • 7.16 Dharmacon
  • 7.17 Dicerna
  • 7.18 Galenea Corporation
  • 7.19 GeneCopoeia, Inc.
  • 7.20 GeneThera, Inc.
  • 7.21 Genlantis
  • 7.22 GenoSensor
  • 7.23 GRL, Inc.
  • 7.24 IDT
  • 7.25 Imgenex Corporation
  • 7.26 Ingenuity Systems
  • 7.27 Intradigm Corporation
  • 7.28 Invitrogen
  • 7.29 InvivoGen
  • 7.30 Isis Pharmaceuticals, LLC
  • 7.31 LC Sciences
  • 7.32 Lentigen Corporation
  • 7.33 MDRNA
  • 7.34 Merck & Co., Inc.
  • 7.35 Mirus Bio Corporation (Acquired by Roche)
  • 7.36 Monsanto
  • 7.37 Nastech Pharmaceutical Company, Inc.
  • 7.38 New England BioLabs
  • 7.39 Nucleonics, Inc.
  • 7.40 Open Biosystems, Inc.
  • 7.41 OPKO Health, Inc.
  • 7.42 OriGene
  • 7.43 Panomics, Inc.
  • 7.44 PhaseRx
  • 7.45 Promega Corp.
  • 7.46 Quark Pharmaceuticals, Inc.
  • 7.47 RXi Pharmaceuticals Corporation
  • 7.48 Senetek PLC
  • 7.49 Sigma-Aldrich
  • 7.50 Sirna Therapeutics
  • 7.51 Sirnaomics, Inc.
  • 7.52 SomaGenics, Inc.
  • 7.53 System Biosciences
  • 7.54 Tacere Therapeutics
  • 7.55 Targeted Genetics Corporation
  • 7.56 Third Wave Technologies
  • 7.57 Traversa

8. Company Profiles-Europe

  • 8.1 Actigenics SA
  • 8.2 Amaxa
  • 8.3 AstraZeneca PLC
  • 8.4 Cenix Bioscience GmbH
  • 8.5 deVGen N.V.
  • 8.6 DNAVision
  • 8.7 Exiqon
  • 8.8 Genovis
  • 8.9 genOway
  • 8.10 imaGenes GmbH
  • 8.11 MWG Biotech AG
  • 8.12 OZ Biosciences
  • 8.13 Prosensa Holding
  • 8.14 QIAGEN
  • 8.15 RNAx GmbH (Germany)
  • 8.16 Roche
  • 8.17 Rosetta Genomics, Ltd.
  • 8.18 Santaris Pharma A/S
  • 8.19 Silence Therapeutics PLC
  • 8.20 TaconicArtemis GmbH
  • 8.21 TRANSAT

9. Company Profiles-Asia-Pacific

  • 9.1 alphaGEN Co., Ltd.
  • 9.2 Benitec, Ltd.
  • 9.3 Bioneer
  • 9.4 CytoPathfinder, Inc.
  • 9.5 Genesis Research & Development Corp.
  • 9.6 GeneDesign, Inc.
  • 9.7 GNI Pharmaceutical Corporation
  • 9.8 Koken Co., Ltd.
  • 9.9 NanoCarrier Co., Ltd.
  • 9.10 Oncolys Biopharma, Inc.
  • 9.11 RealGene Bio-Technologies, Inc.
  • 9.12 Samchully Pharmaceuticals
  • 9.13 Samyang Corp.
  • 9.14 Shanghai Biochip
  • 9.15 Shanghai GenePharma Co.
  • 9.16 Shanghai Genomics, Inc.
  • 9.17 Transgene Biotek, Ltd.

10. Company Profiles-Rest of the World

  • 10.1 Benitec, Ltd.
  • 10.2 Tekmira

INDEX OF TABLES

  • Table 2.1: Advantages/Disadvantages of siRNAs and shRNAs as Inducers of RNAi in Mammalian Cells
  • Table 2.2: Prevalence of siRNA-mediated RNAi in Disease Models, as Reported in Scientific Literature
  • Table 2.3: RNAi-based Therapeutics in Clinical Trials
  • Table 2.4: Suppliers of Enabling Technologies and Tools in RNAi Space
  • Table 2.5: Suppliers of siRNA/shRNA Products (by Product/Service Class)
  • Table 3.1: Currently-Utilized Technologies for Inducing RNAi-Mediated Knockdown
  • Table 3.2: Comparison of mRNA Detection Technologies
  • Table 3.3: Strategies for Target Validation by Pharma/Biotech: RNAi and Others
  • Table 3.4: Comparison of Formats for Library-Based Gene Knockdown
  • Table 3.5: Characteristics of Various Publicly-Available Mouse and Human RNAi Libraries
  • Table 3.6: Disease-Related miRNAs
  • Table 3.7: Publicly-Available Computational Programs for Identifying miRNA Sequences/Targets
  • Table 3.8: Seminal Patents in RNAi
  • Table 3.9: Venture Capital Raised by Selected Companies in the RNAi Space
  • Table 3.10: List of Public Biotech Companies in RNAi Space
  • Table 3.11: SWOT Analysis of siRNA Oligonucleotides
  • Table 3.12: Transfection Reagents (Lipid-Mediated Delivery)
  • Table 3.13: shRNA Plasmid Constructs
  • Table 3.14: shRNA Pooled Libraries or Arrayed Collections (Retroviral/Lentiviral Delivery)
  • Table 5.1: RNAi Market Segmentation and Research Settings
  • Table 5.2: Segment 1: Basic Life Science Research Utilizing RNAi Tools and Technologies
  • Table 5.3: Segment 2: RNAi for Drug Discovery and Development
  • Table 5.4: Segment 3: RNAi Research for Development of RNAi Therapeutics
  • Table 5.5: Segment 4: RNAi Fee-for-Service Business
  • Table 5.6: Grants Awarded and Research Spending in miRNA Space, 2005 to 2008
  • Table 5.7: RNAi Opportunity and Market Size: Quantitative Model, 2006 to 2009
  • Table 5.8: Challenges for RNAi Therapeutic Development
  • Table 5.9: Technology Platforms used in RNAi Research
  • Table 6.1 : Similarities Between Antisense Oligonucleotides and siRNAs
  • Table 6.2: Disadvantages of siRNA Versus Antisense Oligonucleotides
  • Table 6.3: Delivery Vectors for siRNA and Hairpin-Encoding DNA for In Vivo Experiments.
  • Table 6.4: Delivery Systems for siRNA and Hairpin-Encoding DNA for In Vivo Experiments.
  • Table 6.5: Delivery Systems for RNAi-based Therapeutics
  • Table 6.6: Diseases for RNAi Therapeutics
  • Table 6.7: RNAi-Based Therapeutics Pipeline-Broken Out by Disease/Therapeutic Area
  • Table 6.8: RNAi-Based Therapeutics Pipeline-Broken Out by Stage of Development
  • Table 6.9: Most Common Types of Cancer
  • Table 6.10: RNAi Therapeutics for Cancer in Phase I
  • Table 6.11: RNAi Therapeutics for Cancer in IND
  • Table 6.12: RNAi Therapeutics for Cardiac Disease in IND
  • Table 6.13: RNAi Therapeutics for Cardiac Disease in Pre-clinical/Research
  • Table 6.14: RNAi Therapeutics for Immunologic Disease in Pre-clinical / Research
  • Table 6.15: RNAi Therapeutics for Infectious Disease in Phase II
  • Table 6.16: RNAi Therapeutics for Infectious Disease in Phase I
  • Table 6.17: RNAi Therapeutics for Infectious Disease in IND
  • Table 6.18: RNAi Therapeutics for Infectious Disease in Pre-clinical/Research
  • Table 6.19: RNAi Therapeutics for Inflammatory Disease in Pre-clinical/Research
  • Table 6.20: RNAi Therapeutics for Life Style Therapies in IND
  • Table 6.21: RNAi Therapeutics for Metabolic Disease in Pre-clinical/Research
  • Table 6.22: RNAi Therapeutics for Neurologic Disease in Pre-clinical/Research
  • Table 6.23: RNAi Therapeutics for Ophthalmic Disease in Phase III
  • Table 6.24: RNAi Therapeutics for Ophthalmic Disease in Phase II
  • Table 6.25: RNAi Therapeutics for Ophthalmic Disease in Phase I
  • Table 6.26: RNAi Therapeutics for Ophthalmic Disease in Pre-clinical/Research
  • Table 6.27: RNAi Therapeutics for Renal Disease in Phase I
  • Table 6.28: RNAi Therapeutics for Respiratory Disease in Pre-clinical/Research
  • Table 7.1: Nucleonics Products and Programs Ongoing/Pipeline
  • Table 7.2: Quark' s Product Pipeline
  • Table 8.1: Santaris' Product Pipeline
  • Table 8.2: Silence Therapeutics' Product Pipeline

INDEX OF FIGURES

  • Figure 2.1: The miRNA Processing Pathway
  • Figure 2.2: Growth of Scientific Publications Addressing miRNAs, 2001 to 2008
  • Figure 2.3: Mechanisms of Small RNA-induced Gene Regulation
  • Figure 2.4: Types of RNAi Compounds
  • Figure 2.5: Breakdown of Scientific Publications Related to RNAi by Geographic Region, 2007 to 2008
  • Figure 3.1: End-User Segmentation of RNAi Space
  • Figure 3.2: RNAi Patents Filed Globally, by Geographical Origin
  • Figure 3.3: Selected Deals in RNAi Space
  • Figure 4.1: Geographical Breakdown of RNAi End-User Survey Respondents
  • Figure 4.2: Affiliation of RNAi End-User Survey Respondents
  • Figure 4.3: Utilization of RNAi Technologies/Products by Respondent Pool
  • Figure 4.4: RNAi Utilization Period: Breakdown of Respondent Pool
  • Figure 4.5: Research Applications Using RNAi Technologies/Products
  • Figure 4.6: Types of RNAi Technologies Currently Utilized
  • Figure 4.7: RNAi Technologies Most Commonly Utilized Currently by End-Users
  • Figure 4.8: Types of RNAi Technologies: Expected Use in Six to 18 Months
  • Figure 4.9: Evolution of Market Shares of RNAi-Inducing Technologies
  • Figure 4.10: Number of Experiments Involving RNAi Conducted per Week
  • Figure 4.11: Range of Research Dollars Spent Monthly on RNAi Research
  • Figure 4.12: RNAi Experiment Throughput Correlated with Type of RNAi Technology Used
  • Figure 4.13: Current RNAi Market Share by Segments
  • Figure 4.14: Growth/Decline Rate of RNAi Marketplace Segments (Six to 18 Months)
  • Figure 4.15: Product Formats Utilization for RNAi Research (Current and Six to 18 Months)
  • Figure 4.16: Companies Offering Product Formats for Currently-Used RNAi Products
  • Figure 4.17: RNAi Product Offerings/Formats Use (Projections-Six to 18 Months)
  • Figure 4.18: Percentage Change of RNAi Product Offerings/Formats (Six to 18 Months)
  • Figure 4.19: Key Challenges Faced by End-Users in RNAi Space
  • Figure 4.20: Unmet Needs in RNAi Space Ranked by Importance to End-Users
  • Figure 5.1: Growth and Evolution of miRNA Space
  • Figure 5.2: Elements of RNAi Value Chain
  • Figure 5.3: Growth and Evolution of RNAi (siRNA/shRNA) Space
  • Figure 5.4: Market Revenues Based on Components of siRNA Experimental Paradigm
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