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World Proteomics Automation Markets

Published by: Frost & Sullivan

Published: Jun. 17, 2003


Table of Contents


1 | EXECUTIVE SUMMARY


  Executive Summary

      1. Executive Summary




  2 | TOTAL MARKET


  Overview

      1. Introduction



      2. Background and Definitions




  Research Scope

      1. Objective and Purpose



      2. Structure and Segmentation




  Modular Products

      1. Introduction



      2. Market Drivers



      3. Market Restraints




  Integrated Systems

      1. Introduction



      2. Market Drivers



      3. Market Restraints




  Revenue Forecasts and Market Share Analysis

      1. Methodology and Assumptions



      2. Revenue Forecasts



      3. Market Share by Technology




  Industry Technology and Pricing Trends

      1. Industry Trends



      2. Technology Trends



      3. Pricing Trends




  Competitive Analysis

      1. Competitive Structure



      2. Product Analysis



      3. Selected Mergers Deals and Acquisitions




  3 | MARKET ENGINEERING MEASUREMENTS


  Measurements

      1. Measurements




  Challenges and Strategies

      1. Challenges



      2. Strategies




  4 | MARKET ENGINEERING AWARDS


  Awards

      1. Introduction



      2. Product Differentiation Innovation



      3. Technology Innovation



      4. Vertical Market Penetration



      5. Business Development Strategy



      6. Competitive Strategy




  5 | KEY INDUSTRY PARTICIPANTS


  Database of Key Industry Participants

      1. DKIP




  Related Websites

      1. Related Websites




  Glossary

      1. Glossary


Abstract

Standardization of Interfaces to Facilitate Automation of Proteomics

The appeal of automating proteomics methods is being somewhat diminished by technical challenges relating to integration of equipment and data. The need to combine methods for varied and complex samples creates the problem of interfacing processes that are not easily merged. Standardization of interfaces is expected to eliminate such incompatibilities and do away with the dilemma of launching a technology at the expense of an existing one. Vendors are beginning to address these challenges as the market develops and the next generation of products is introduced.

This Frost & Sullivan research examines the World Proteomics Automation Markets. It offers revenue forecasts by market segments and covers key drivers and restraints affecting market growth. It also provides strategic recommendations to overcome market challenges. This report focuses on modular automation products and the integrated systems bundled from these devices.

Proteomics Methods' Proven Success Boosts Adoption

"The typical proteomics approach of 2-D gel electrophoresis (2DGE) and mass spectrometry (MS) is being acknowledged as the method of choice for separating proteins and identifying subsets," states the analyst. However, advances in other technologies have led the market to believe that complementary technologies will be used for alternative separation steps such as multi-dimensional liquid chromatography and protein chips/arrays. Reagents for differential isotope labeling have also been formulated and are expected to develop.

Despite the optimism triggered by these advances and complaints about 2DGE's time and procedural constrains, it is still the most common method for resolving thousands of proteins before the subsequent analysis. End users are more likely to automate their existing 2DGE-MS process than invest in new technologies since the others have not been as successful on a wide range of samples. Apart from separating proteins, the 2DGE approach also enables archiving of intact proteins and provides the best resolution.

Research Activities to Receive Boost from Technological Improvements

Since the recently completed Human Genome Project (HGP) has made sequence data widely available, it is now easier to identify proteins using mass spectrometry data. The refinement of 2DGE methods, improvements in bioinformatics software, and technological advances that enable reproducible automation of these processes have helped augment biological knowledge. Collaborations between groups, regardless of industry or academia status, will also increase success rates in proteomics research activities.

"There is a need to combine forces with companies having complementary expertise and/or products due to the complexity of proteins and the difficulty of acquiring multi-disciplinary talent in-house," notes the analyst. Since large amounts of data are unnecessary if not for use in a biological context, the ideal partnership will be between a company having large-scale technology needing refinement and a highly specialized drug or biology-oriented research group.

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