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Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines
Author(s) -
Leupin Nicolas,
Kuhn Alexandre,
Hügli Barbara,
Grob Tobias J.,
Jaggi Rolf,
Tobler Andreas,
Delorenzi Mauro,
Fey Martin F.
Publication year - 2006
Publication title -
british journal of haematology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.907
H-Index - 186
eISSN - 1365-2141
pISSN - 0007-1048
DOI - 10.1111/j.1365-2141.2006.06342.x
Subject(s) - gene expression profiling , gene , hl60 , gene expression , microarray , biology , cell culture , microarray analysis techniques , dna microarray , k562 cells , myeloid , immune system , chronic myeloid leukaemia , cancer research , computational biology , immunology , genetics
Summary Microarray gene expression profiles of fresh clinical samples of chronic myeloid leukaemia in chronic phase, acute promyelocytic leukaemia and acute monocytic leukaemia were compared with profiles from cell lines representing the corresponding types of leukaemia (K562, NB4, HL60). In a hierarchical clustering analysis, all clinical samples clustered separately from the cell lines, regardless of leukaemic subtype. Gene ontology analysis showed that cell lines chiefly overexpressed genes related to macromolecular metabolism, whereas in clinical samples genes related to the immune response were abundantly expressed. These findings must be taken into consideration when conclusions from cell line‐based studies are extrapolated to patients.