Title |
Gene expression analysis of hypersensitivity to mosquito bite, chronic active EBV infection and NK/T-lymphoma/leukemia
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Published in |
Leukemia & Lymphoma, April 2017
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DOI | 10.1080/10428194.2017.1304762 |
Pubmed ID | |
Authors |
Kana Washio, Takashi Oka, Lamia Abdalkader, Michiko Muraoka, Akira Shimada, Megumi Oda, Hiaki Sato, Katsuyoshi Takata, Yoshitoyo Kagami, Norio Shimizu, Seiichi Kato, Hiroshi Kimura, Kazunori Nishizaki, Tadashi Yoshino, Hirokazu Tsukahara |
Abstract |
The human herpes virus, Epstein-Barr virus (EBV), is a known oncogenic virus and plays important roles in life-threatening T/NK-cell lymphoproliferative disorders (T/NK-cell LPD) such as hypersensitivity to mosquito bite (HMB), chronic active EBV infection (CAEBV), and NK/T-cell lymphoma/leukemia. During the clinical courses of HMB and CAEBV, patients frequently develop malignant lymphomas and the diseases passively progress sequentially. In the present study, gene expression of CD16((-))CD56((+))-, EBV((+)) HMB, CAEBV, NK-lymphoma, and NK-leukemia cell lines, which were established from patients, was analyzed using oligonucleotide microarrays and compared to that of CD56(bright)CD16(dim/-) NK cells from healthy donors. Principal components analysis showed that CAEBV and NK-lymphoma cells were relatively closely located, indicating that they had similar expression profiles. Unsupervised hierarchal clustering analyses of microarray data and gene ontology analysis revealed specific gene clusters and identified several candidate genes responsible for disease that can be used to discriminate each category of NK-LPD and NK-cell lymphoma/leukemia. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 43% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 6 | 86% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Other | 3 | 13% |
Student > Master | 3 | 13% |
Student > Bachelor | 3 | 13% |
Professor > Associate Professor | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Other | 2 | 8% |
Unknown | 9 | 38% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 10 | 42% |
Nursing and Health Professions | 1 | 4% |
Unspecified | 1 | 4% |
Computer Science | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
Unknown | 10 | 42% |