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c-Myc and Rel/NF-kappaB are the two master transcriptional systems activated in the latency III program of Epstein-Barr virus-immortalized B cells.
J Virol
May 2009
Centre National de la Recherche Scientifique, Unité Mixte de Recherche 6101, Centre Hospitalier Universitaire Dupuytren, Université de Limoges, Laboratoire d'Hématologie, 87025 Limoges, France.
The Epstein-Barr virus (EBV) latency III program imposed by EBNA2 and LMP1 is directly responsible for immortalization of B cells in vitro and is thought to mediate most immunodeficiency-related posttransplant lymphoproliferative diseases in vivo. To answer the question whether and how this proliferation program is related to c-Myc, we have established the transcriptome of both c-Myc and EBV latency III proliferation programs using a Lymphochip specialized microarray. In addition to EBV-positive latency I Burkitt lymphoma lines and lymphoblastoid cell lines (LCLs), we used an LCL expressing an estrogen-regulatable EBNA2 fusion protein (EREB2-5) and derivative B-cell lines expressing a constitutively active or tetracycline-regulatable c-myc gene.
View Article and Find Full Text PDF[Advance in research on lymphochip technology and its application].
Zhongguo Shi Yan Xue Ye Xue Za Zhi
October 2003
Department of Oncology, Affiliated Hospital, Academy of Military Medical Sciences, Beijing 100039, China.
The lymphochip is a special DNA chip which is used to monitor the gene expression profiling of malignant lymphoma. The basic principle, technological procedure and types of lymphochip were briefly reviewed in the article. The article emphatically introduced the advance of lymphochip implication which was used to identify the molecular diagnosis, distinguish the subtypes and research the morbific mechanism of malignant lymphoma.
View Article and Find Full Text PDFGene expression data analysis of human lymphoma using support vector machines and output coding ensembles.
Artif Intell Med
November 2002
Dipartimento di Informatica e Scienze dell'Informazione, Università di Genova, via Dodecaneso 35, 16146 Genova, Italy.
The large amount of data generated by DNA microarrays was originally analysed using unsupervised methods, such as clustering or self-organizing maps. Recently supervised methods such as decision trees, dot-product support vector machines (SVM) and multi-layer perceptrons (MLP) have been applied in order to classify normal and tumoural tissues. We propose methods based on non-linear SVM with polynomial and Gaussian kernels, and output coding (OC) ensembles of learning machines to separate normal from malignant tissues, to classify different types of lymphoma and to analyse the role of sets of coordinately expressed genes in carcinogenic processes of lymphoid tissues.
View Article and Find Full Text PDFThe lymphochip: a specialized cDNA microarray for the genomic-scale analysis of gene expression in normal and malignant lymphocytes.
Cold Spring Harb Symp Quant Biol
April 2001
Metabolism Branch, Division of Clinical Sciences, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
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