Genome-Wide Detection of Genes Targeted by Non-Ig Somatic Hypermutation in Lymphoma

被引:32
作者
Jiang, Yanwen [1 ,2 ,3 ]
Soong, T. David [1 ,2 ]
Wang, Ling [3 ]
Melnick, Ari M. [3 ]
Elemento, Olivier [1 ,2 ]
机构
[1] Weill Cornell Med Coll, HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsau, New York, NY USA
[2] Weill Cornell Med Coll, Dept Physiol & Biophys, New York, NY USA
[3] Weill Cornell Med Coll, Dept Med, Div Hematol & Oncol, New York, NY USA
来源
PLOS ONE | 2012年 / 7卷 / 07期
关键词
B-CELL LYMPHOMA; INDUCED CYTIDINE DEAMINASE; IMMUNOGLOBULIN GENES; CLASS SWITCH; EXPRESSION; AID; DIFFERENTIATION; DNA; MUTATIONS; MECHANISM;
D O I
10.1371/journal.pone.0040332
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The processes of somatic hypermutation (SHM) and class switch recombination introduced by activation-induced cytosine deaminase (AICDA) at the Immunoglobulin (Ig) loci are key steps for creating a pool of diversified antibodies in germinal center B cells (GCBs). Unfortunately, AICDA can also accidentally introduce mutations at bystander loci, particularly within the 59 regulatory regions of proto-oncogenes relevant to diffuse large B cell lymphomas (DLBCL). Since current methods for genomewide sequencing such as Exon Capture and RNAseq only target mutations in coding regions, to date non-Ig promoter SHMs have been studied only in a handful genes. We designed a novel approach integrating bioinformatics tools with next generation sequencing technology to identify regulatory loci targeted by SHM genome-wide. We observed increased numbers of SHM associated sequence variant hotspots in lymphoma cells as compared to primary normal germinal center B cells. Many of these SHM hotspots map to genes that have not been reported before as mutated, including BACH2, BTG2, CXCR4, CIITA, EBF1, PIM2, and TCL1A, etc., all of which have potential roles in B cell survival, differentiation, and malignant transformation. In addition, using BCL6 and BACH2 as examples, we demonstrated that SHM sites identified in these 59 regulatory regions greatly altered their transcription activities in a reporter assay. Our approach provides a first cost-efficient, genome-wide method to identify regulatory mutations and non-Ig SHM hotspots.
引用
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页数:10
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