dc.contributor.author | Ng, Ozden Hatirnaz | |
dc.contributor.author | Ozbek, Ugur | |
dc.contributor.author | Maiorov, Emine Guven | |
dc.contributor.author | Keskin, Ozlem | |
dc.contributor.author | Gursoy, Attila | |
dc.date.accessioned | 2021-03-05T07:57:18Z | |
dc.date.available | 2021-03-05T07:57:18Z | |
dc.identifier.citation | Maiorov E. G. , Keskin O., Ng O. H. , Ozbek U., Gursoy A., "Identification of Interconnected Markers for T-Cell Acute Lymphoblastic Leukemia", BIOMED RESEARCH INTERNATIONAL, 2013 | |
dc.identifier.issn | 2314-6133 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_96672166-ca92-4019-8cb2-8cb973724028 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/101248 | |
dc.identifier.uri | https://doi.org/10.1155/2013/210253 | |
dc.description.abstract | T-cell acute lymphoblastic leukemia (T-ALL) is a complex disease, resulting from proliferation of differentially arrested immature T cells. The molecular mechanisms and the genes involved in the generation of T-ALL remain largely undefined. In this study, we propose a set of genes to differentiate individuals with T-ALL from the nonleukemia/healthy ones and genes that are not differential themselves but interconnected with highly differentially expressed ones. We provide new suggestions for pathways involved in the cause of T-ALL and show that network-based classification techniques produce fewer genes with more meaningful and successful results than expression-based approaches. We have identified 19 significant subnetworks, containing 102 genes. The classification/prediction accuracies of subnetworks are considerably high, as high as 98%. Subnetworks contain 6 nondifferentially expressed genes, which could potentially participate in pathogenesis of T-ALL. Although these genes are not differential, they may serve as biomarkers if their loss/gain of function contributes to generation of T-ALL via SNPs. We conclude that transcription factors, zinc-ion-binding proteins, and tyrosine kinases are the important protein families to trigger T-ALL. These potential disease-causing genes in our subnetworks may serve as biomarkers, alternative to the traditional ones used for the diagnosis of T-ALL, and help understand the pathogenesis of the disease. | |
dc.language.iso | eng | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Dahili Tıp Bilimleri | |
dc.subject | Tıbbi Ekoloji ve Hidroklimatoloji | |
dc.subject | Yaşam Bilimleri | |
dc.subject | Biyoteknoloji | |
dc.subject | Temel Bilimler | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | Tıp | |
dc.subject | Klinik Tıp | |
dc.subject | TIP, ARAŞTIRMA VE DENEYSEL | |
dc.subject | Yaşam Bilimleri (LIFE) | |
dc.subject | Mikrobiyoloji | |
dc.subject | BİYOTEKNOLOJİ VE UYGULAMALI MİKROBİYOLOJİ | |
dc.title | Identification of Interconnected Markers for T-Cell Acute Lymphoblastic Leukemia | |
dc.type | Makale | |
dc.relation.journal | BIOMED RESEARCH INTERNATIONAL | |
dc.contributor.department | Koç Üniversitesi , , | |
dc.contributor.firstauthorID | 388 | |