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Partial Least Squares Based Gene Expression Analysis in EBV-Positive and EBV-Negative Posttransplant Lymphoproliferative Disorders
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  • Partial Least Squares Based Gene Expression Analysis in EBV-Positive and EBV-Negative Posttransplant Lymphoproliferative Disorders
  • Partial Least Squares Based Gene Expression Analysis in EBV-Positive and EBV-Negative Posttransplant Lymphoproliferative Disorders
저자명
Wu. Sa,Zhang. Xin,Li. Zhi-Ming,Shi. Yan-Xia,Huang. Jia-Jia,Xia. Yi,Yang. Hang,Jiang. Wen-Qi
간행물명
Asian Pacific journal of cancer prevention : APJCP
권/호정보
2013년|14권 11호|pp.6347-6350 (4 pages)
발행정보
아시아태평양암예방학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Post-transplant lymphoproliferative disorder (PTLD) is a common complication of therapeutic immunosuppression after organ transplantation. Gene expression profile facilitates the identification of biological difference between Epstein-Barr virus (EBV) positive and negative PTLDs. Previous studies mainly implemented variance/regression analysis without considering unaccounted array specific factors. The aim of this study is to investigate the gene expression difference between EBV positive and negative PTLDs through partial least squares (PLS) based analysis. With a microarray data set from the Gene Expression Omnibus database, we performed PLS based analysis. We acquired 1188 differentially expressed genes. Pathway and Gene Ontology enrichment analysis identified significantly over-representation of dysregulated genes in immune response and cancer related biological processes. Network analysis identified three hub genes with degrees higher than 15, including CREBBP, ATXN1, and PML. Proteins encoded by CREBBP and PML have been reported to be interact with EBV before. Our findings shed light on expression distinction of EBV positive and negative PTLDs with the hope to offer theoretical support for future therapeutic study.