Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2005-8-8
pubmed:abstractText
"Molecular signatures" are the qualitative and quantitative patterns of groups of biomolecules (e.g., mRNA, proteins, peptides, or metabolites) in a cell, tissue, biological fluid, or an entire organism. To apply this concept to biomarker discovery, the measurements should ideally be noninvasive and performed in a single read-out. We have therefore developed a peptidomics platform that couples magnetics-based, automated solid-phase extraction of small peptides with a high-resolution MALDI-TOF mass spectrometric readout (Villanueva, J.; Philip, J.; Entenberg, D.; Chaparro, C. A.; Tanwar, M. K.; Holland, E. C.; Tempst, P. Anal. Chem. 2004, 76, 1560-1570). Since hundreds of peptides can be detected in microliter volumes of serum, it allows to search for disease signatures, for instance in the presence of cancer. We have now evaluated, optimized, and standardized a number of clinical and analytical chemistry variables that are major sources of bias; ranging from blood collection and clotting, to serum storage and handling, automated peptide extraction, crystallization, spectral acquisition, and signal processing. In addition, proper alignment of spectra and user-friendly visualization tools are essential for meaningful, certifiable data mining. We introduce a minimal entropy algorithm, "Entropycal", that simplifies alignment and subsequent statistical analysis and increases the percentage of the highly distinguishing spectral information being retained after feature selection of the datasets. Using the improved analytical platform and tools, and a commercial statistics program, we found that sera from thyroid cancer patients can be distinguished from healthy controls based on an array of 98 discriminant peptides. With adequate technological and computational methods in place, and using rigorously standardized conditions, potential sources of patient related bias (e.g., gender, age, genetics, environmental, dietary, and other factors) may now be addressed.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-11120680, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-11867112, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-12097261, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-12142387, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-12324514, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-12925511, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-12967959, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-12973727, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-14657331, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-14746511, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-14751995, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-14990683, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-15018552, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-15113105, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-15175721, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-15295571, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-15595736, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-15685197, http://linkedlifedata.com/resource/pubmed/commentcorrection/16083255-8779435
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1535-3893
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1060-72
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:articleTitle
Correcting common errors in identifying cancer-specific serum peptide signatures.
pubmed:affiliation
Protein Center, Molecular Biology Program, Engineering Resource Laboratory, Department of Clinical Laboratories, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural