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Proteomics of microparticles with SILAC Quantification (PROMIS-Quan): a novel proteomic method for plasma biomarker quantification.
Harel, Michal; Oren-Giladi, Pazit; Kaidar-Person, Orit; Shaked, Yuval; Geiger, Tamar.
Afiliação
  • Harel M; From the ‡Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel;
  • Oren-Giladi P; §Department of Molecular Pharmacology, Rappaport Faculty of Medicine and Research Institute, Technion, Haifa, Israel;
  • Kaidar-Person O; ¶Division of Oncology, Rambam Health Care Campus, Haifa, Israel.
  • Shaked Y; §Department of Molecular Pharmacology, Rappaport Faculty of Medicine and Research Institute, Technion, Haifa, Israel;
  • Geiger T; From the ‡Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; geiger@post.tau.ac.il.
Mol Cell Proteomics ; 14(4): 1127-36, 2015 Apr.
Article em En | MEDLINE | ID: mdl-25624350
ABSTRACT
Unbiased proteomic analysis of plasma samples holds the promise to reveal clinically invaluable disease biomarkers. However, the tremendous dynamic range of the plasma proteome has so far hampered the identification of such low abundant markers. To overcome this challenge we analyzed the plasma microparticle proteome, and reached an unprecedented depth of over 3000 plasma proteins in single runs. To add a quantitative dimension, we developed PROMIS-Quan-PROteomics of MIcroparticles with Super-Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) Quantification, a novel mass spectrometry-based technology for plasma microparticle proteome quantification. PROMIS-Quan enables a two-step relative and absolute SILAC quantification. First, plasma microparticle proteomes are quantified relative to a super-SILAC mix composed of cell lines from distinct origins. Next, the absolute amounts of selected proteins of interest are quantified relative to the super-SILAC mix. We applied PROMIS-Quan to prostate cancer and compared plasma microparticle samples of healthy individuals and prostate cancer patients. We identified in total 5374 plasma-microparticle proteins, and revealed a predictive signature of three proteins that were elevated in the patient-derived plasma microparticles. Finally, PROMIS-Quan enabled determination of the absolute quantitative changes in prostate specific antigen (PSA) upon treatment. We propose PROMIS-Quan as an innovative platform for biomarker discovery, validation, and quantification in both the biomedical research and in the clinical worlds.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Proteômica / Micropartículas Derivadas de Células / Aminoácidos / Marcação por Isótopo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Proteômica / Micropartículas Derivadas de Células / Aminoácidos / Marcação por Isótopo Tipo de estudo: Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2015 Tipo de documento: Article