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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