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      APOBEC3A is a prominent cytidine deaminase in breast cancer

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          Abstract

          APOBEC cytidine deaminases are the second-most prominent source of mutagenesis in sequenced tumors. Previous studies have proposed that APOBEC3B (A3B) is the major source of mutagenesis in breast cancer (BRCA). We show that APOBEC3A (A3A) is the only APOBEC whose expression correlates with APOBEC-induced mutation load and that A3A expression is responsible for cytidine deamination in multiple BRCA cell lines. Comparative analysis of A3A and A3B expression by qRT-PCR, RSEM-normalized RNA-seq, and unambiguous RNA-seq validated the use of RNA-seq to measure APOBEC expression, which indicates that A3A is the primary correlate with APOBEC-mutation load in primary BRCA tumors. We also demonstrate that A3A has >100-fold more cytidine deamination activity than A3B in the presence of cellular RNA, likely explaining why higher levels of A3B expression contributes less to mutagenesis in BRCA. Our findings identify A3A as a major source of cytidine deaminase activity in breast cancer cells and possibly a prominent contributor to the APOBEC mutation signature.

          Author summary

          APOBEC-signature mutations are over-represented in ~15% of all sequenced tumors and in many tumors constitute more than 50% of all mutations. Furthermore, APOBEC activity likely contributes to the occurrence of primary driver and late sub-clonal driver mutations, and mutations that contribute to metastasis and resistance to chemotherapeutics in cancer. To clarify the roles of individual APOBEC family members to cancer mutagenesis, we compared the expression of each APOBEC3 gene in a panel of breast cancer cell lines to the corresponding amount of APOBEC-induced mutation, finding that only A3A positively correlated. We found that A3A provides a significant amount of the cell’s total cytidine deamination activity in breast cancer cell lines. We also show that unlike other APOBECs, A3A is not inhibited by RNA, which partly explains its disproportionate contribution to cellular APOBEC activity. Further bioinformatics analysis determined that A3A expression is a major correlate with APOBEC-induced mutagenesis in primary tumors from multiple cancer types. This establishes A3A as a likely contributor to cancer mutagenesis.

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          Most cited references41

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          Clustered mutations in yeast and in human cancers can arise from damaged long single-strand DNA regions.

          Mutations are typically perceived as random, independent events. We describe here nonrandom clustered mutations in yeast and in human cancers. Genome sequencing of yeast grown under chronic alkylation damage identified mutation clusters that extend up to 200 kb. A predominance of "strand-coordinated" changes of either cytosines or guanines in the same strand, mutation patterns, and genetic controls indicated that simultaneous mutations were generated by base alkylation in abnormally long single-strand DNA (ssDNA) formed at double-strand breaks (DSBs) and replication forks. Significantly, we found mutation clusters with analogous features in sequenced human cancers. Strand-coordinated clusters of mutated cytosines or guanines often resided near chromosome rearrangement breakpoints and were highly enriched with a motif targeted by APOBEC family cytosine-deaminases, which strongly prefer ssDNA. These data indicate that hypermutation via multiple simultaneous changes in randomly formed ssDNA is a general phenomenon that may be an important mechanism producing rapid genetic variation. Copyright © 2012 Elsevier Inc. All rights reserved.
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            Structural basis for targeted DNA cytosine deamination and mutagenesis by APOBEC3A and APOBEC3B

            APOBEC-catalyzed cytosine-to-uracil deamination of single-stranded (ss)DNA has beneficial functions in immunity and detrimental roles in cancer. APOBEC enzymes have intrinsic dinucleotide specificities that impart hallmark mutation signatures. Despite numerous structures, mechanisms for global ssDNA recognition and local target sequence selection remain unclear. Here, we report crystal structures of human APOBEC3A and a chimera of human APOBEC3B and APOBEC3A bound to ssDNA at 3.1 and 1.7 angstroms resolution, respectively. These structures reveal a U-shaped DNA conformation, with the specificity-conferring −1 thymine flipped out and the target cytosine inserted deep into the zinc-coordinating active site pocket. The −1 thymine base fits between flexible loops in a groove that forms upon binding ssDNA, and it makes direct hydrogen bonds with the protein accounting for the strong 5′-TC preference. These studies explain both conserved and unique properties among APOBEC family members, and provide a basis for the rational design of inhibitors to impede the evolvability of viruses and tumors.
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              Altering the pathway of immunoglobulin hypermutation by inhibiting uracil-DNA glycosylase.

              A functional immune system depends on the production of a wide range of immunoglobulin molecules. Immunoglobulin variable region (IgV) genes are diversified after gene rearrangement by hypermutation. In the DNA deamination model, we have proposed that deamination of dC residues to dU by activation-induced deaminase (AID) triggers this diversification. In hypermutating chicken DT40 B cells, most IgV mutations are dC --> dG/dA or dG --> dC/dT transversions, which are proposed to result from replication over sites of base loss produced by the excision activity of uracil-DNA glycosylase. Blocking the activity of uracil-DNA glycosylase should instead lead to replication over the dU lesion, resulting in dC --> dT (and dG --> dA) transitions. Here we show that expression in DT40 cells of a bacteriophage-encoded protein that inhibits uracil-DNA glycosylase shifts the pattern of IgV gene mutations from transversion dominance to transition dominance. This is good evidence that antibody diversification involves dC --> dU deamination within the immunoglobulin locus itself.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Formal analysisRole: Methodology
                Role: Formal analysis
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, CA USA )
                1553-7390
                1553-7404
                16 December 2019
                December 2019
                : 15
                : 12
                : e1008545
                Affiliations
                [1 ] School of Molecular Biosciences and Center for Reproductive Biology, Washington State University, Pullman, WA, United States of America
                [2 ] Department of Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS, United States of America
                [3 ] School of Molecular Biosciences, Washington State University-Vancouver, Vancouver, WA, United States of America
                The Children's Hospital of Philadelphia, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4225-3810
                http://orcid.org/0000-0002-0859-0194
                http://orcid.org/0000-0001-9653-8590
                http://orcid.org/0000-0002-2337-1053
                http://orcid.org/0000-0002-9243-4062
                http://orcid.org/0000-0002-3628-5808
                Article
                PGENETICS-D-19-01154
                10.1371/journal.pgen.1008545
                6936861
                31841499
                ff0176ec-fb67-4617-a328-c894cd1164d6
                © 2019 Cortez et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 15 July 2019
                : 1 December 2019
                Page count
                Figures: 6, Tables: 0, Pages: 32
                Funding
                Funded by: National Cancer Institute
                Award ID: CA218112
                Award Recipient :
                Funded by: National Institute of Environmental Health Sciences
                Award ID: ES022633
                Award Recipient :
                Funded by: Department of Defense
                Award ID: BC141727
                Award Recipient :
                This work was supported by Breast Cancer Research Program Breakthrough Award BC141727 from the Department of Defense ( https://cdmrp.army.mil), R00 Pathway to Independence award ES022633 from the National Institute of Environmental Health Sciences ( https://www.niehs.nih.gov); and R01 award CA218112 from the National Cancer Institute ( https://www.cancer.gov) to S.A.R. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Cancer Risk Factors
                Genetic Causes of Cancer
                Medicine and Health Sciences
                Oncology
                Cancer Risk Factors
                Genetic Causes of Cancer
                Biology and Life Sciences
                Genetics
                Mutagenesis
                Biology and Life Sciences
                Genetics
                Gene Expression
                Research and analysis methods
                Extraction techniques
                RNA extraction
                Biology and Life Sciences
                Genetics
                Heredity
                Genetic Mapping
                Haplotypes
                Research and analysis methods
                Biological cultures
                Cell lines
                BT474 cells
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Sequence Motif Analysis
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                Sequencing techniques
                RNA sequencing
                Research and analysis methods
                Molecular biology techniques
                Sequencing techniques
                RNA sequencing
                Custom metadata
                vor-update-to-uncorrected-proof
                2019-12-30
                RSEM RNA-seq expression values for BRCA cell lines and TCGA sequenced primary tumors were obtained from the Cancer Cell Line Encyclopedia ( https://data.broadinstitute.org/ccle/CCLE_RNAseq_rsem_transcripts_tpm_20180929.txt.gz) and the Broad Institute Genomic Data Analysis Center ( http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/BRCA/20160128/gdac.broadinstitute.org_BRCA.Merge_rnaseqv2__illuminahiseq_rnaseqv2__unc_edu__Level_3__RSEM_genes_normalized__data.Level_3.2016012800.0.0.tar.gz; http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/BLCA/20160128/gdac.broadinstitute.org_BLCA.Merge_rnaseqv2__illuminahiseq_rnaseqv2__unc_edu__Level_3__RSEM_genes_normalized__data.Level_3.2016012800.0.0.tar.gz; http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/CESC/20160128/gdac.broadinstitute.org_CESC.Merge_rnaseqv2__illuminahiseq_rnaseqv2__unc_edu__Level_3__RSEM_genes__data.Level_3.2016012800.0.0.tar.gz; and http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/HNSC/20160128/gdac.broadinstitute.org_HNSC.Merge_rnaseqv2__illuminahiseq_rnaseqv2__unc_edu__Level_3__RSEM_genes_normalized__data.Level_3.2016012800.0.0.tar.gz), respectively. Raw RNA-seq reads for unambiguous RNA-seq analysis were obtained from the NCBI Short Read Archive for BRCA cell lines in the GEO series “Transcriptional profiling of a breast cancer cell line panel using RNAseq technology” (GEO accession number: GSE48213). Similar raw RNA-seq reads for TCGA sequenced primary BRCA tumors were downloaded as BAM Slices from the controlled-access portion of the NCI Genomics Data Commons ( https://portal.gdc.cancer.gov/). Lists of mutations identified in BRCA cell lines were downloaded from the Cancer Cell Line Encyclopedia ( https://data.broadinstitute.org/ccle/CCLE_DepMap_18Q1_maf_20180207.txt) and the COSMIC database (CosmicCLP_MutantExport.tsv.gz from https://cancer.sanger.ac.uk/cell_lines/download), while primary tumor mutations were obtained from http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/BRCA/20160128/gdac.broadinstitute.org_BRCA.Mutation_Packager_Oncotated_Calls.Level_3.2016012800.0.0.tar.gz; http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/BLCA/20160128/gdac.broadinstitute.org_BLCA.Mutation_Packager_Oncotated_Calls.Level_3.2016012800.0.0.tar.gz; http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/CESC/20160128/gdac.broadinstitute.org_CESC.Mutation_Packager_Oncotated_Calls.Level_3.2016012800.0.0.tar.gz; and http://gdac.broadinstitute.org/runs/stddata__2016_01_28/data/HNSC/20160128/gdac.broadinstitute.org_HNSC.Mutation_Packager_Oncotated_Calls.Level_3.2016012800.0.0.tar.gz.

                Genetics
                Genetics

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