Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines

Leupin, Nicolas; Kuhn, Alexandre; Hügli, Barbara; Grob, Tobias J; Jaggi, Rolf; Tobler, Andreas; Delorenzi, Mauro; Fey, Martin F (2006). Gene expression profiling reveals consistent differences between clinical samples of human leukaemias and their model cell lines. British journal of haematology, 135(4), pp. 520-3. Oxford: Wiley-Blackwell 10.1111/j.1365-2141.2006.06342.x

Full text not available from this repository. (Request a copy)

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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Gynaecology, Paediatrics and Endocrinology (DFKE) > Clinic of Gynaecology
04 Faculty of Medicine > Pre-clinic Human Medicine > BioMedical Research (DBMR) > Forschungsbereich Pathologie > Forschungsgruppe Molekularbiologie
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Medical Oncology

UniBE Contributor:

Kuhn, Annette; Jaggi, Rolf and Fey, Martin

ISSN:

0007-1048

ISBN:

17061979

Publisher:

Wiley-Blackwell

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:46

Last Modified:

06 Dec 2013 13:41

Publisher DOI:

10.1111/j.1365-2141.2006.06342.x

PubMed ID:

17061979

Web of Science ID:

000241342900011

URI:

https://boris.unibe.ch/id/eprint/19002 (FactScience: 1367)

Actions (login required)

Edit item Edit item
Provide Feedback