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Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells.
Froehlich, Bjoern C; Popp, Robert; Sobsey, Constance A; Ibrahim, Sahar; LeBlanc, Andre M; Mohammed, Yassene; Aguilar-Mahecha, Adriana; Poetz, Oliver; Chen, Michael X; Spatz, Alan; Basik, Mark; Batist, Gerald; Zahedi, René P; Borchers, Christoph H.
Afiliação
  • Froehlich BC; University of Victoria-Genome BC Proteomics Centre, University of Victoria, Victoria, BC, V8Z 7E8, Canada.
  • Popp R; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC, V8P 5C2, Canada.
  • Sobsey CA; University of Victoria-Genome BC Proteomics Centre, University of Victoria, Victoria, BC, V8Z 7E8, Canada.
  • Ibrahim S; Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, H3T1E2, Canada.
  • LeBlanc AM; Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, H3T1E2, Canada.
  • Mohammed Y; Segal Cancer Proteomics Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, H3T1E2, Canada.
  • Aguilar-Mahecha A; University of Victoria-Genome BC Proteomics Centre, University of Victoria, Victoria, BC, V8Z 7E8, Canada.
  • Poetz O; Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, 2333 ZA, The Netherlands.
  • Chen MX; Center for Computational and Data-Intensive Science and Engineering, Skolkovo Institute of Science and Technology, Moscow, 121205, Russia.
  • Spatz A; Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, H3T1E2, Canada.
  • Basik M; NMI Natural and Medical Sciences Institute University of Tuebingen, Reutlingen, 72770, Germany.
  • Batist G; SIGNATOPE GmbH, Reutlingen, 72770, Germany.
  • Zahedi RP; Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, Canada.
  • Borchers CH; Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, QC, H3T1E2, Canada.
Proteomics Clin Appl ; 14(5): e2000034, 2020 09.
Article em En | MEDLINE | ID: mdl-32643306
ABSTRACT

PURPOSE:

Immuno-MALDI (iMALDI) combines immuno-enrichment of biomarkers with MALDI-MS for fast, precise, and specific quantitation, making it a valuable tool for developing clinical assays. iMALDI assays are optimized for the PI3-kinase signaling pathway members phosphatase and tensin homolog (PTEN) and PI3-kinase catalytic subunit alpha (p110α), with regard to sensitivity, robustness, and throughput. A standardized template for developing future iMALDI assays, including automation protocols to streamline assay development and translation, is provided. EXPERIMENTAL

DESIGN:

Conditions for tryptic digestion and immuno-enrichment (beads, beadantibody ratios, incubation times, direct vs. indirect immuno-enrichment) are rigorously tested. Different strategies for calibration and data readout are compared.

RESULTS:

Digestion using 12 proteintrypsin (wtwt) for 1 h yielded high and consistent peptide recoveries. Direct immuno-enrichment (antibody-bead coupling prior to antigen-enrichment) yielded 30% higher peptide recovery with a 1 h shorter incubation time than indirect enrichment. Immuno-enrichment incubation overnight yielded 1.5-fold higher sensitivities than 1 h incubation. Quantitation of the endogenous target proteins is not affected by the complexity of the calibration matrix, further simplifying the workflow. CONCLUSIONS AND CLINICAL RELEVANCE This optimized and automated workflow will facilitate the clinical translation of high-throughput sensitive iMALDI assays for quantifying cell-signaling proteins in individual tumor samples, thereby improving patient stratification for targeted treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz / Fluxo de Trabalho / Proteínas de Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Proteomics Clin Appl Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transdução de Sinais / Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz / Fluxo de Trabalho / Proteínas de Neoplasias Tipo de estudo: Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: Proteomics Clin Appl Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Canadá