In:
Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 2707-2707
Kurzfassung:
Serial analysis of gene expression (SAGE) allows a comprehensive profiling of gene expression within a given tissue and also an assessment of transcript abundance. Objectives: We generated SAGE libraries from normal and neoplastic plasma cells to identify genes differentially expressed in multiple myeloma (MM). Material and Methods: Normal plasma cells were obtained from palatine tonsils and MM SAGE library was generated from bone marrow plasma cells of MM patients. Results: We obtained 29,918 SAGE tags from normal and 10,340 tags from tumor libraries. Computer-generated genomic analysis identified 46 upregulated genes in the MM library. Ten upregulated genes were selected for further investigation. Differential expression was validated by quantitative real-time PCR in purified plasma cells of 31 patients and three controls. P53CSV, DDX5, MAPKAPK2, RANBP2 were found to be upregulated in at least 50% of the MM cases tested. All of them were also found upregulated in MM when compared to normal plasma cells in a meta-analysis using ONCOMINE microarray database. Antibodies specific to DDX5, RANBP2 and MAPKAPK2 were used in a TMA containing 57 MM cases and confirmed the expression of these proteins in 74, 96, and 21% of the MM samples, respectively. Conclusions: Analysis of differential expression using SAGE could identify new genes important for myeloma tumorigenesis (P53CSV, DDX5, MAPKPK2 and RANBP2) and that could potentially be useful as therapeutic targets.
Materialart:
Online-Ressource
ISSN:
0006-4971
,
1528-0020
DOI:
10.1182/blood.V112.11.2707.2707
Sprache:
Englisch
Verlag:
American Society of Hematology
Publikationsdatum:
2008
ZDB Id:
1468538-3
ZDB Id:
80069-7
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