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- 저자 : Savli (검색결과 2 건)
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Hakan Savli,Sema Sirma, Balint Nagy,Melih Aktan,Guncag Dinco,Zafer Salcioglu,Nazan Sarper,Ugur Ozbek 생화학분자생물학회 2004 Experimental and molecular medicine Vol.36 No.3
Among several newly identified oncogenes, dek and af4 are atractive targets for researchers interested with leukemia. In this study quanti-define alterations in expresion of dek and af4 genes associated with acute promyelocytic leu-kaemia (APL) t (15; 17). RNA samples obtained from bone marow aspirates of fourten APL patients, cDNA portions were labelled with Sy-ber Gren 1 dye and LightCycler analysis have been performed. Expression changes in patients were found not significant in comparison to healthy donors for af4 (P = 0.192) and dek (P = 0.0895). We sugest that af4 gene may have a blastic lineage; also further studies must cary on with a larger series of patients in order to understand the relationship betwen the dek gene and APL. Our study was the first attempt for analysing dek and af4 genes in APL t (15; 17) patients by quantitative Real-Time RT-PCR. This rapid and sensitive method could be used to screen these genes in diferent types of leukaemia.
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Gene network and canonical pathway analysis in prostatecancer: a microarray study
Hakan Savli,Attila Szendrӧi,Imre Romics,Balint Nagy 생화학분자생물학회 2008 Experimental and molecular medicine Vol.40 No.2
The molecular mechanism playing a role in the development of prostate cancer (PCA) is not well defined. We decided to determine the changes in gene expression in PCA tissues and to compare them to those in noncancerous samples. Prostate tissue samples were collected by needle biopsy from 21 PCA and 10 benign prostate hyperplasic (BPH) patients. Total RNA was isolated, cDNA was synthesized, and gene expression levels were determined by microarray method. In the progression to PCA, 738 up-regulated and 515 downregulated genes were detected in samples. Analysis using Ingenuity Pathway Analysis (IPA) software revealed that 466 network and 423 functions-pathways eligible genes were up-regulated, and 363 network and 342 functions-pathways eligible genes were down-regulated. Up-regulated networks were identified around IL-1β and insulin-like growth factor-1 (IGF-1) genes. The NFKB gene was centered around two upand down-regulated networks. Up-regulated canonical pathways were assigned and four of them were evaluated in detail: acute phase response, hepatic fibrosis, actin cytoskeleton, and coagulation pathways. Axonal guidance signaling was the most significant down-regulated canonical pathway. Our data provide not only networks between the genes for understanding the biologic properties of PCA but also useful pathway maps for future understanding of disease and the construction of new therapeutic targets. The molecular mechanism playing a role in the development of prostate cancer (PCA) is not well defined. We decided to determine the changes in gene expression in PCA tissues and to compare them to those in noncancerous samples. Prostate tissue samples were collected by needle biopsy from 21 PCA and 10 benign prostate hyperplasic (BPH) patients. Total RNA was isolated, cDNA was synthesized, and gene expression levels were determined by microarray method. In the progression to PCA, 738 up-regulated and 515 downregulated genes were detected in samples. Analysis using Ingenuity Pathway Analysis (IPA) software revealed that 466 network and 423 functions-pathways eligible genes were up-regulated, and 363 network and 342 functions-pathways eligible genes were down-regulated. Up-regulated networks were identified around IL-1β and insulin-like growth factor-1 (IGF-1) genes. The NFKB gene was centered around two upand down-regulated networks. Up-regulated canonical pathways were assigned and four of them were evaluated in detail: acute phase response, hepatic fibrosis, actin cytoskeleton, and coagulation pathways. Axonal guidance signaling was the most significant down-regulated canonical pathway. Our data provide not only networks between the genes for understanding the biologic properties of PCA but also useful pathway maps for future understanding of disease and the construction of new therapeutic targets.
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