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omation mbers - Society for Laboratory Automation and Screening

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3:00 pm Tuesday, February 3 Clinical – Proteomics Room C1<br />

Daniel W. Chan<br />

Johns Hopkins University<br />

600 N. Wolfe Street<br />

Baltimore, Maryl<strong>and</strong> 21287<br />

dchan@jhmi.edu<br />

Clinical Proteomics 2004<br />

The future clinical diagnostics will be expected to provide more clinically useful in<strong>for</strong>mation <strong>and</strong> cost less. Is<br />

Proteomics the answer? In United States, one in four deaths is caused by cancer. Since cancer is a proteomic<br />

disease, the study of cancer proteomics not only allow us to better underst<strong>and</strong> the biology of cancer, but it<br />

also provide us the opportunities to identify the dysfunctional protein as potential target <strong>for</strong> therapy <strong>and</strong> protein<br />

biomarkers <strong>for</strong> cancer diagnostics. Since cancer is heterogeneous, it is unlikely that a single biomarker or protein<br />

could be used to achieve its full clinical potentials, such as screening, detection, prediction or monitoring of<br />

cancer therapy. Maximum clinical usefulness is likely to require a panel of biomarkers. New approaches to identify<br />

biomarkers that could be used individually or in combination <strong>for</strong> cost-effective screening of diseases are urgently<br />

needed. My presentation will focus on the use of surface-enhanced laser desorption-ionization (SELDI) protein<br />

chips coupled with time-of-flight mass spectrometry (MALDI-TOF). Because large amounts of data are often<br />

generated, the effective <strong>and</strong> appropriate use of bioin<strong>for</strong>matics tools become critical to analyze the expression data<br />

<strong>and</strong> to avoid selecting biomarkers whose per<strong>for</strong>mances are influenced mostly by non-disease related artifacts in<br />

the data.<br />

In summary, the combination of proteomics <strong>and</strong> bioin<strong>for</strong>matics tools could facilitate the identification of proteins of<br />

clinical interest. I will present some of our work at the Johns Hopkins Biomarker Discovery Center <strong>and</strong> the HUPO<br />

plasma proteome initiative.<br />

3:30 pm Tuesday, February 3 Clinical – Proteomics Room C1<br />

Keith Ashman<br />

MDS Sciex<br />

71 Valley Drive<br />

Concord, Ontario, L4K 4V8 Canada<br />

keith.ashman@sciex.com<br />

Combining LC <strong>and</strong> MALDI Mass Spectrometry: A Way to a Simpler Workflow?<br />

108<br />

Co-Author(s)<br />

Chris Lock<br />

It will be shown that while the benefits of LC fractionation prior to MALDI analysis <strong>for</strong> even single protein digests<br />

are evident, the real gains are made in the analysis of highly complex samples such as serum, containing dozens<br />

of peptides from multiple proteins. Signal suppression <strong>and</strong> competition during the ionisation process will severely<br />

limit the coverage obtainable if such samples undergo a single spot MALDI analysis. The benefits of separation<br />

also extend to MS/MS analysis. Sample longevity is always a consideration when many MS/MS acquisitions<br />

are required, but by spreading the peptides across many sample spots the number of obtainable MS/MS<br />

spectra be<strong>for</strong>e all sample is consumed increases greatly.The decoupling of the MALDI ionisation process from<br />

the TOF analyser in the o-MALDI 2 QSTAR XL mass spectrometer enables the instrument to demonstrate <strong>and</strong><br />

maintain superb mass accuracy <strong>and</strong> sensitivity in both MS <strong>and</strong> MS/MS modes of operation. Internal calibrants<br />

are unnecessary <strong>and</strong> the sample surface morphology has no impact on instrument per<strong>for</strong>mance (an important<br />

consideration in LC/ MALDI where the organic composition <strong>and</strong> hence morphology of each sample spot as it dries<br />

will vary). This also allows a variety of sample preparation devices to be used. These benefits will be of signifcant<br />

advantage as mass spectrometric techniques become more widely used in the search <strong>for</strong> <strong>and</strong> use of disease<br />

markers <strong>for</strong> clinical diagnostics. Especially if the sample preparation methods are both simple <strong>and</strong> automated.

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