↓ Skip to main content

PLOS

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

Overview of attention for article published in PLOS ONE, July 2012
Altmetric Badge

Mentioned by

twitter
4 X users

Readers on

mendeley
90 Mendeley
Title
Genome-Wide Detection of Genes Targeted by Non-Ig Somatic Hypermutation in Lymphoma
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0040332
Pubmed ID
Authors

Yanwen Jiang, T. David Soong, Ling Wang, Ari M. Melnick, Olivier Elemento

Abstract

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 5' 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 5' 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 1%
Germany 1 1%
Canada 1 1%
Unknown 85 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 18 20%
Student > Master 12 13%
Student > Doctoral Student 8 9%
Student > Bachelor 7 8%
Other 14 16%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 32%
Medicine and Dentistry 21 23%
Biochemistry, Genetics and Molecular Biology 21 23%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Environmental Science 1 1%
Other 7 8%
Unknown 8 9%