Proteomics - Summary of breakout discussion 17 Jan 2005
Participants: Billheimer (scribe), Chen, Koyama, M. Li, Shyr
1. What is the best way to collaborate with basic scientists in this area?
Problems in proteomics almost always require scientists/physicians
from three areas of expertise: clinical (disease) specialists,
measurement technology specialists, and quantitative specialists.
Successful collaboration requires significant interaction and
contribution from each group.
2. What is the best approach to determining the best approach for analyzing mass spec data?
We believe that comparative analysis of "known" standard data sets
(e.g., uniformity data, spike-in data, numerical spike-in)
currently provide the best approach for quantitative methods
evaluation. Variation characteristics for MALDI-TOF protein
spectra are extremely complex. Current simulation approaches do
not reflect the noise characteristics of real spectra. (see
question 3 below)
We currently have two standard data sets (100 spectra of uniform
liver homogenate; 40 spectra from a protein spike-in experiment).
Further, we believe that personnel in the Vanderbilt Mass
Spectrometry Research Center will create new data sets per our
request to evaluate data normalization and analysis methods.
3. Should a simulation model be developed for testing various methods?
Biostatisticians at MDACC are already doing this. We believe their
current model's representation of variation is inadequate for
rigorous methods testing. The VICC has invited Dr. Kevin Coombs to
visit Vanderbilt in the near future. We will continue discussion
at that time.
4. Should we try to better coordinate mass spec quantitative methodology development
- within Biostatistics
- across the University
We are working to establish a common groundwork among researchers
within the Biostatistics Department. This includes verification of
data pre-processing procedures, and gaining consensus on analysis
methods for "standard" problems (e.g., class comparison). In
addition we are establishing links to multiple collaborators with
MALDI-TOF MS expertise.
There are many other quantitative scientists at Vanderbilt involved
in proteometrics research. These include personnel in
biochemistry, mathematics, electrical engineering, and
bioinformatics. We believe Biostatistics does not have sufficient
resources (FTE's) to be involved in these many disparate research
efforts.
5. Are proteomic methodology education opportunities in existing journal clubs?
There are existing journal clubs discussing proteomic methodologies
(e.g., the Proteomics Core lab journal club). However, these
journal clubs focus on emerging measurement technologies - not on
quantitative problems. (Indeed, they typically avoid quantitative
issues.)
We propose two approaches to foster educational and collaborative
opportunities for quantitative proteomics. These are
- create and maintain a Biostatistics TWiki page with links to
quantitative proteomics papers
- begin a monthly lunch meeting for biostatisticians,
biochemists, and others interested in quantitative aspects of
proteomics (we anticipate 10 - 12 regular participants)
6. There are many other proteomic measurement methods in use/underdevelopment at Vanderbilt. How can we prepare to support these other technologies?
The first five question above all are related to proteomics via
MALDI-TOf MS protein profiling. There are dozens of other emerging
methods in proteomics including 2-D gel electrophoresis, 2-D DIGE,
lipidomics, tandem MS-MS, structural NMR, and antibody-based
molecular recognition assays. We should focus recruiting for a
statistics/biostatistics candidate with (some) background and
interest in this area.