2-dimensional electrophoretic analysis of proteome-stabilized
brewers yeast demonstrates the large number of
proteolytically-sensitive proteins in a commercially-important strain
Proteome Stabilization
Determination of a protein's identity based on its peptide mass
fingerprint and/or ion fragmentation sequencing is an important aspect
of proteome mining. The ability to chemically tag and measure relative
amounts of proteins in cells by mass spectrometry provides additional
information on changes in gene expression or metabolism that are both
relevant and responsive to the environment. There is a critical need
however for sample preparation protocols that reduce procurement-related
changes to cellular proteomes during separation science and analysis.
Before any significant proteomics-based sample workflow is initiated,
Larial recommends evaluating protein stabilities to ensure the
reliability of protein identification and expression datasets. Most
micro-organismal and cellular proteomes are inherently unstable.
Significant information loss and sample analysis inconsistencies arise
when appropriate measures are not taken to protect proteins from
chemical modifications occurring as a result of proteolysis, reactive
side chain modifications, redox reactions, chemical conjugation etc. The
use of reduced temperatures or inclusion of protease inhibitor cocktails
often fail to provide adequate protection for complex protein mixtures
Lengthy separation science procedures needed to enrich low abundance
targets further compromise the integrity of the resulting fractions.
Finding remedies to proteome instability problems often requires the
development of proprietary reagents and procedures that promote the
acquisition of reliable datasets. To this end, Larial has focused on
developing effective proteome stabilization technologies. Of particular
note is FixElix™ , an effective proteolytic enzyme inhibitor
reagent developed by Larial scientists for stabilization of industrial
yeast proteomes. Use of an effective proteome stabilization reagent
prior to sample preparation and analysis is essential to preserve
dataset fidelity and reduce quantitative errors.