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Proteomic cell surface phenotyping of differentiating acute myeloid leukemia cells

Hofmann, A. ; Gerrits, B. ; Schmidt, A. ; Bock, T. ; Bausch-Fluck, D. ; Aebersold, R. ; Wollscheid, B.

Blood, 09/30/2010, Vol.116(13), pp.e26-e34 [Tạp chí có phản biện]

ISSN: 0006-4971 ; E-ISSN: 1528-0020 ; DOI: http://dx.doi.org/10.1182/blood-2010-02-271270

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  • Nhan đề:
    Proteomic cell surface phenotyping of differentiating acute myeloid leukemia cells
  • Tác giả: Hofmann, A. ; Gerrits, B. ; Schmidt, A. ; Bock, T. ; Bausch-Fluck, D. ; Aebersold, R. ; Wollscheid, B.
  • Chủ đề: Leukemia, Myeloid, Acute -- Metabolism ; Proteome -- Metabolism ; Proteomics -- Methods
  • Là 1 phần của: Blood, 09/30/2010, Vol.116(13), pp.e26-e34
  • Mô tả: Immunophenotyping by flow cytometry or immunohistochemistry is a clinical standard procedure for diagnosis, classification, and monitoring of hematologic malignancies. Antibody-based cell surface phenotyping is commonly limited to cell surface proteins for which specific antibodies are available and the number of parallel measurements is limited. The resulting limited knowledge about cell surface protein markers hampers early clinical diagnosis and subclassification of hematologic malignancies. Here, we describe the mass spectrometry based phenotyping of 2 all-trans retinoic acid treated acute myeloid leukemia model systems at an unprecedented level to a depth of more than 500 membrane proteins, including 137 bona fide cell surface exposed CD proteins. This extensive view of the leukemia surface proteome was achieved by developing and applying new implementations of the Cell Surface Capturing (CSC) technology. Bioinformatic and hierarchical cluster analysis showed that the applied strategy reliably revealed known differentiation-induced abundance changes of cell surface proteins in HL60 and NB4 cells and it also identified cell surface proteins with very little prior information. The extensive and quantitative analysis of the cell surface protein landscape from a systems biology perspective will be most useful in the clinic for the improved subclassification of hematologic malignancies and the identification of new drug targets.
  • Ngôn ngữ: English
  • Số nhận dạng: ISSN: 0006-4971 ; E-ISSN: 1528-0020 ; DOI: http://dx.doi.org/10.1182/blood-2010-02-271270

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