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Differentially expressed nuclear proteins in human CCRF‐CEM, HL‐60, MEC‐1 and Raji cells correlate with cellular properties
Author(s) -
Henrich Silke,
Crossett Ben,
Christopherson Richard I.
Publication year - 2007
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.200700055
Subject(s) - raji cell , nuclear protein , chronic lymphocytic leukemia , biology , cell culture , myeloid leukemia , proteome , leukemia , cell growth , cancer research , myeloid , b cell , cell , transcription factor , microbiology and biotechnology , immunology , gene , genetics , antibody
The human cell lines CCRF‐CEM (T‐cell acute lymphocytic leukemia), HL‐60 (acute myeloid leukemia), MEC‐1 (B‐cell chronic lymphocytic leukemia) and Raji (Burkitt's B‐cell lymphoma) have been analysed for differences in their nuclear proteomes. Using 2‐D DIGE, 55 nuclear proteins have been identified that are differentially expressed ( p <0.025) between the four cell lines, including proteins associated with transcription, proliferation, DNA repair and apoptosis. Of these 55 proteins, 22 were over‐expressed in just one cell line, and four were down‐regulated in one cell line. Proteins uniquely over‐expressed between myeloid and lymphoid cell lines include those that may have use as markers for diagnosis, disease progression and B‐cell maturation and differentiation. Expression of various proliferation‐associated nuclear proteins correlated with relative growth rates of the cell lines, giving these proteins potential diagnostic applications for distinction of chronic versus acute subtypes of haematological malignancies. Identification of these differentially expressed nuclear proteins should facilitate elucidation of the molecular mechanisms underlying leukocyte differentiation and transformation to leukemias and lymphomas. The nuclear expression profiles should enable classification of subtypes of leukemia, and identify potential nuclear protein targets for development of diagnostic and therapeutic strategies.
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