Characterization of Plasma Membrane Proteins from Ovarian Cancer Cells Using Mass Spectrometry

Springer, David L.; Auberry, Deanna L.; Ahram, Mamoun; Adkins, Joshua N.; Feldhaus, Jane M.; Wahl, Jon H.; Wunschel, David S.; Rodland, Karin D.

doi:10.1155/2004/725617

Title: Characterization of Plasma Membrane Proteins from Ovarian Cancer Cells Using Mass Spectrometry

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Abstract

To determine how the repertoire of plasma membrane proteins change with disease state, specifically related to cancer, several methods for preparation of plasma membrane proteins were evaluated. Cultured cells derived from stage IV ovarian tumors were grown to 90% confluence and harvested in buffer containing CHAPS detergent. This preparation was centrifuged at low speed to remove insoluble cellular debris resulting in a crude homogenate. Glycosylated proteins in the crude homogenate were selectively enriched using lectin affinity chromatography. The crude homogenate and the lectin purified sample were prepared for mass spectrometric evaluation. The general procedure for protein identification began with trypsin digestion of protein fractions followed by separation by reversed phase liquid chromatography that was coupled directly to a conventional tandem mass spectrometer (i.e. LCQ ion trap). Mass and fragmentation data for the peptides were searched against a human proteome data base using the informatics program SEQUEST. Using this procedure 398 proteins were identified with high confidence, including receptors, membrane-associated ligands, proteases, phosphatases, as well as structural and adhesion proteins. Results indicate that lectin chromatography provides a select subset of proteins and that the number and quality of the identifications improve as does the confidence of the protein identifications for thismore »« less

Authors:

Springer, David L. ^[1]; Auberry, Deanna L. ^[1]; Ahram, Mamoun ^[1]; Adkins, Joshua N. ^[1]; Feldhaus, Jane M. ^[1]; Wahl, Jon H. ^[2]; Wunschel, David S. ^[2]; Rodland, Karin D. ^[1]

Biological Sciences Division, Pacific Northwest National Laboratories, Richland, WA 99352, USA
Analytical Chemistry Group, Pacific Northwest National Laboratories, Richland, WA 99352, USA

Publication Date:: Thu Jan 01 00:00:00 EST 2004

Sponsoring Org.:: USDOE

OSTI Identifier:: 1197933

Grant/Contract Number:: AC06-76RLO 1830

Resource Type:: Published Article

Journal Name:: Disease Markers

Additional Journal Information:: Journal Name: Disease Markers Journal Volume: 19 Journal Issue: 4-5; Journal ID: ISSN 0278-0240

Publisher:: Hindawi Publishing Corporation

Country of Publication:: Country unknown/Code not available

Language:: English

Citation Formats


                    Springer, David L., Auberry, Deanna L., Ahram, Mamoun, Adkins, Joshua N., Feldhaus, Jane M., Wahl, Jon H., Wunschel, David S., and Rodland, Karin D. Characterization of Plasma Membrane Proteins from Ovarian Cancer Cells Using Mass Spectrometry.  Country unknown/Code not available: N. p., 2004. 
Web.  doi:10.1155/2004/725617.

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                    Springer, David L., Auberry, Deanna L., Ahram, Mamoun, Adkins, Joshua N., Feldhaus, Jane M., Wahl, Jon H., Wunschel, David S., & Rodland, Karin D. Characterization of Plasma Membrane Proteins from Ovarian Cancer Cells Using Mass Spectrometry.  Country unknown/Code not available.  https://doi.org/10.1155/2004/725617

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                    Springer, David L., Auberry, Deanna L., Ahram, Mamoun, Adkins, Joshua N., Feldhaus, Jane M., Wahl, Jon H., Wunschel, David S., and Rodland, Karin D. Thu .  
"Characterization of Plasma Membrane Proteins from Ovarian Cancer Cells Using Mass Spectrometry".  Country unknown/Code not available.  https://doi.org/10.1155/2004/725617.

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@article{osti_1197933,

  title        = {Characterization of Plasma Membrane Proteins from Ovarian Cancer Cells Using Mass Spectrometry},

  author       = {Springer, David L. and Auberry, Deanna L. and Ahram, Mamoun and Adkins, Joshua N. and Feldhaus, Jane M. and Wahl, Jon H. and Wunschel, David S. and Rodland, Karin D.},

  abstractNote = {To determine how the repertoire of plasma membrane proteins change with disease state, specifically related to cancer, several methods for preparation of plasma membrane proteins were evaluated. Cultured cells derived from stage IV ovarian tumors were grown to 90% confluence and harvested in buffer containing CHAPS detergent. This preparation was centrifuged at low speed to remove insoluble cellular debris resulting in a crude homogenate. Glycosylated proteins in the crude homogenate were selectively enriched using lectin affinity chromatography. The crude homogenate and the lectin purified sample were prepared for mass spectrometric evaluation. The general procedure for protein identification began with trypsin digestion of protein fractions followed by separation by reversed phase liquid chromatography that was coupled directly to a conventional tandem mass spectrometer (i.e. LCQ ion trap). Mass and fragmentation data for the peptides were searched against a human proteome data base using the informatics program SEQUEST. Using this procedure 398 proteins were identified with high confidence, including receptors, membrane-associated ligands, proteases, phosphatases, as well as structural and adhesion proteins. Results indicate that lectin chromatography provides a select subset of proteins and that the number and quality of the identifications improve as does the confidence of the protein identifications for this subset. These results represent the first step in development of methods to separate and successfully identify plasma membrane proteins from advanced ovarian cancer cells. Further characterization of plasma membrane proteins will contribute to our understanding of the mechanisms underlying progression of this deadly disease and may lead to new targeted interventions as well as new biomarkers for diagnosis.},

  doi          = {10.1155/2004/725617},

  journal      = {Disease Markers},

  number       = 4-5,

  volume       = 19,

  place        = {Country unknown/Code not available},

  year         = {Thu Jan 01 00:00:00 EST 2004},

  month        = {Thu Jan 01 00:00:00 EST 2004}

}

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