Source:http://linkedlifedata.com/resource/pubmed/id/15018552
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
6
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pubmed:dateCreated |
2004-3-15
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pubmed:abstractText |
Human serum contains a complex array of proteolytically derived peptides (serum peptidome) that may provide a correlate of biological events occurring in the entire organism; for instance, as a diagnostic for solid tumors (Petricoin, E. F.; Ardekani, A. M.; Hitt, B. A.; Levine, P. J.; Fusaro, V. A.; Steinberg, S. M.; Mills, G. B.; Simone, C.; Fishman, D. A.; Kohn, E. C.; Liotta, L. Lancet 2002, 359, 572-577). Here, we describe a novel, automated technology platform for the simultaneous measurement of serum peptides that is simple, scalable, and generates highly reproducible patterns. Peptides are captured and concentrated using reversed-phase (RP) batch processing in a magnetic particle-based format, automated on a liquid handling robot, and followed by a MALDI TOF mass spectrometric readout. The protocol is based on a detailed investigation of serum handling, RP ligand and eluant selection, small-volume robotics design, an optimized spectral acquisition program, and consistent peak extraction plus binning across a study set. The improved sensitivity and resolution allowed detection of 400 polypeptides (0.8-15-kDa range) in a single droplet (approximately 50 microL) of serum, and almost 2000 unique peptides in larger sample sets, which can then be analyzed using common microarray data analysis software. A pilot study indicated that sera from brain tumor patients can be distinguished from controls based on a pattern of 274 peptide masses. This, in turn, served to create a learning algorithm that correctly predicted 96.4% of the samples as either normal or diseased.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Mar
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pubmed:issn |
0003-2700
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:day |
15
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pubmed:volume |
76
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1560-70
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pubmed:dateRevised |
2007-11-14
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pubmed:meshHeading |
pubmed-meshheading:15018552-Algorithms,
pubmed-meshheading:15018552-Automation,
pubmed-meshheading:15018552-Blood Proteins,
pubmed-meshheading:15018552-Brain Neoplasms,
pubmed-meshheading:15018552-Coated Materials, Biocompatible,
pubmed-meshheading:15018552-Glioblastoma,
pubmed-meshheading:15018552-Humans,
pubmed-meshheading:15018552-Image Processing, Computer-Assisted,
pubmed-meshheading:15018552-Magnetics,
pubmed-meshheading:15018552-Peptides,
pubmed-meshheading:15018552-Pilot Projects,
pubmed-meshheading:15018552-Spectrometry, Mass, Matrix-Assisted Laser...,
pubmed-meshheading:15018552-Tumor Markers, Biological
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pubmed:year |
2004
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pubmed:articleTitle |
Serum peptide profiling by magnetic particle-assisted, automated sample processing and MALDI-TOF mass spectrometry.
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pubmed:affiliation |
Protein Center, Molecular Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, U.S. Gov't, P.H.S.,
Research Support, Non-U.S. Gov't
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