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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
7
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pubmed:dateCreated |
2010-7-2
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pubmed:abstractText |
Analyzing subpopulations of tumor cells in tissue is a challenging subject in proteomic studies. Pancreatic cancer stem cells (CSCs) are such a group of cells that only constitute 0.2-0.8% of the total tumor cells but have been found to be the origin of pancreatic cancer carcinogenesis and metastasis. Global proteome profiling of pancreatic CSCs from xenograft tumors in mice is a promising way to unveil the molecular machinery underlying the signaling pathways. However, the extremely low availability of pancreatic tissue CSCs (around 10,000 cells per xenograft tumor or patient sample) has limited the utilization of currently standard proteomic approaches which do not work effectively with such a small amount of material. Herein, we describe the profiling of the proteome of pancreatic CSCs using a capillary scale shotgun technique by coupling offline capillary isoelectric focusing(cIEF) with nano reversed phase liquid chromatography(RPLC) followed by spectral counting peptide quantification. A whole cell lysate from 10,000 cells which corresponds to approximately 1 microg of protein material is equally divided for three repeated cIEF separations where around 300 ng of peptide material is used in each run. In comparison with a nontumorigenic tumor cell sample, among 1159 distinct proteins identified with FDR less than 0.2%, 169 differentially expressed proteins are identified after multiple testing corrections where 24% of the proteins are upregulated in the CSCs group. Ingenuity Pathway analysis of these differential expression signatures further suggests significant involvement of signaling pathways related to apoptosis, cell proliferation, inflammation, and metastasis.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-11279485,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-11716497,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-12600312,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-15448002,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-15979981,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-16458421,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-16787749,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-16799640,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-16944946,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-17283135,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-17339633,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-17349585,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-18076136,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-18492237,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-18539958,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-18563251,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-18644780,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-18991084,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-19057948,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-19158483,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-19288585,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-19532122,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-19670906,
http://linkedlifedata.com/resource/pubmed/commentcorrection/20486718-19960471
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jul
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pubmed:issn |
1535-3907
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:day |
2
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pubmed:volume |
9
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
3394-402
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pubmed:dateRevised |
2011-9-16
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pubmed:meshHeading |
pubmed-meshheading:20486718-Animals,
pubmed-meshheading:20486718-Chromatography, Reverse-Phase,
pubmed-meshheading:20486718-Cluster Analysis,
pubmed-meshheading:20486718-Gene Expression Profiling,
pubmed-meshheading:20486718-Humans,
pubmed-meshheading:20486718-Isoelectric Focusing,
pubmed-meshheading:20486718-Male,
pubmed-meshheading:20486718-Mice,
pubmed-meshheading:20486718-Mice, Inbred NOD,
pubmed-meshheading:20486718-Mice, SCID,
pubmed-meshheading:20486718-Neoplastic Stem Cells,
pubmed-meshheading:20486718-Pancreatic Neoplasms,
pubmed-meshheading:20486718-Proteins,
pubmed-meshheading:20486718-Proteomics,
pubmed-meshheading:20486718-Signal Transduction,
pubmed-meshheading:20486718-Xenograft Model Antitumor Assays
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pubmed:year |
2010
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pubmed:articleTitle |
Quantitative proteomic profiling studies of pancreatic cancer stem cells.
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pubmed:affiliation |
Bioinformatics Program, University of Michigan Medical Center, Ann Arbor, Michigan, USA.
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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