DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers

Cancer genomes harbor numerous genomic alterations and many cancers accumulate thousands of nucleotide sequence variations. A prominent fraction of these mutations arises as a consequence of the off-target activity of DNA/RNA editing cytosine deaminases followed by the replication/repair of edited s...

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Main Authors: Igor B. Rogozin, Abiel Roche-Lima, Kathrin Tyryshkin, Kelvin Carrasquillo-Carrión, Artem G. Lada, Lennard Y. Poliakov, Elena Schwartz, Andreu Saura, Vyacheslav Yurchenko, David N. Cooper, Anna R. Panchenko, Youri I. Pavlov
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Genetics
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Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.671866/full
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author Igor B. Rogozin
Abiel Roche-Lima
Kathrin Tyryshkin
Kelvin Carrasquillo-Carrión
Artem G. Lada
Lennard Y. Poliakov
Elena Schwartz
Andreu Saura
Vyacheslav Yurchenko
Vyacheslav Yurchenko
David N. Cooper
Anna R. Panchenko
Youri I. Pavlov
Youri I. Pavlov
Youri I. Pavlov
spellingShingle Igor B. Rogozin
Abiel Roche-Lima
Kathrin Tyryshkin
Kelvin Carrasquillo-Carrión
Artem G. Lada
Lennard Y. Poliakov
Elena Schwartz
Andreu Saura
Vyacheslav Yurchenko
Vyacheslav Yurchenko
David N. Cooper
Anna R. Panchenko
Youri I. Pavlov
Youri I. Pavlov
Youri I. Pavlov
DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers
Frontiers in Genetics
tumor cells
frequency matrices
database
computational biology
somatic hypermutation
immunoglobulin genes
author_facet Igor B. Rogozin
Abiel Roche-Lima
Kathrin Tyryshkin
Kelvin Carrasquillo-Carrión
Artem G. Lada
Lennard Y. Poliakov
Elena Schwartz
Andreu Saura
Vyacheslav Yurchenko
Vyacheslav Yurchenko
David N. Cooper
Anna R. Panchenko
Youri I. Pavlov
Youri I. Pavlov
Youri I. Pavlov
author_sort Igor B. Rogozin
title DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers
title_short DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers
title_full DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers
title_fullStr DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers
title_full_unstemmed DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other Cancers
title_sort dna methylation, deamination, and translesion synthesis combine to generate footprint mutations in cancer driver genes in b-cell derived lymphomas and other cancers
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2021-05-01
description Cancer genomes harbor numerous genomic alterations and many cancers accumulate thousands of nucleotide sequence variations. A prominent fraction of these mutations arises as a consequence of the off-target activity of DNA/RNA editing cytosine deaminases followed by the replication/repair of edited sites by DNA polymerases (pol), as deduced from the analysis of the DNA sequence context of mutations in different tumor tissues. We have used the weight matrix (sequence profile) approach to analyze mutagenesis due to Activation Induced Deaminase (AID) and two error-prone DNA polymerases. Control experiments using shuffled weight matrices and somatic mutations in immunoglobulin genes confirmed the power of this method. Analysis of somatic mutations in various cancers suggested that AID and DNA polymerases η and θ contribute to mutagenesis in contexts that almost universally correlate with the context of mutations in A:T and G:C sites during the affinity maturation of immunoglobulin genes. Previously, we demonstrated that AID contributes to mutagenesis in (de)methylated genomic DNA in various cancers. Our current analysis of methylation data from malignant lymphomas suggests that driver genes are subject to different (de)methylation processes than non-driver genes and, in addition to AID, the activity of pols η and θ contributes to the establishment of methylation-dependent mutation profiles. This may reflect the functional importance of interplay between mutagenesis in cancer and (de)methylation processes in different groups of genes. The resulting changes in CpG methylation levels and chromatin modifications are likely to cause changes in the expression levels of driver genes that may affect cancer initiation and/or progression.
topic tumor cells
frequency matrices
database
computational biology
somatic hypermutation
immunoglobulin genes
url https://www.frontiersin.org/articles/10.3389/fgene.2021.671866/full
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spelling doaj-f3b49fc35b4a4cddbf7990f7411a09922021-05-19T05:30:44ZengFrontiers Media S.A.Frontiers in Genetics1664-80212021-05-011210.3389/fgene.2021.671866671866DNA Methylation, Deamination, and Translesion Synthesis Combine to Generate Footprint Mutations in Cancer Driver Genes in B-Cell Derived Lymphomas and Other CancersIgor B. Rogozin0Abiel Roche-Lima1Kathrin Tyryshkin2Kelvin Carrasquillo-Carrión3Artem G. Lada4Lennard Y. Poliakov5Elena Schwartz6Andreu Saura7Vyacheslav Yurchenko8Vyacheslav Yurchenko9David N. Cooper10Anna R. Panchenko11Youri I. Pavlov12Youri I. Pavlov13Youri I. Pavlov14National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, United StatesCenter for Collaborative Research in Health Disparities – RCMI Program, University of Puerto Rico, San Juan, Puerto RicoDepartment of Pathology and Molecular Medicine, School of Medicine, Queen’s University, Kingston, ON, CanadaIntegrated Informatics Services Core – RCMI, University of Puerto Rico, San Juan, Puerto RicoDepartment Microbiology and Molecular Genetics, University of California, Davis, Davis, CA, United StatesLife Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, CzechiaCoordinating Center for Clinical Trials, National Cancer Institute, National Institutes of Health, Bethesda, MD, United StatesLife Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, CzechiaLife Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, CzechiaMartsinovsky Institute of Medical Parasitology, Tropical and Vector Borne Diseases, Sechenov First Moscow State Medical University, Moscow, RussiaInstitute of Medical Genetics, Cardiff University, Cardiff, United KingdomDepartment of Pathology and Molecular Medicine, School of Medicine, Queen’s University, Kingston, ON, Canada0Eppley Institute for Research in Cancer and Allied Diseases, Omaha, NE, United States1Department of Microbiology and Pathology, Biochemistry and Molecular Biology, Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States2 Department of Genetics and Biotechnology, Saint-Petersburg State University, Saint-Petersburg, RussiaCancer genomes harbor numerous genomic alterations and many cancers accumulate thousands of nucleotide sequence variations. A prominent fraction of these mutations arises as a consequence of the off-target activity of DNA/RNA editing cytosine deaminases followed by the replication/repair of edited sites by DNA polymerases (pol), as deduced from the analysis of the DNA sequence context of mutations in different tumor tissues. We have used the weight matrix (sequence profile) approach to analyze mutagenesis due to Activation Induced Deaminase (AID) and two error-prone DNA polymerases. Control experiments using shuffled weight matrices and somatic mutations in immunoglobulin genes confirmed the power of this method. Analysis of somatic mutations in various cancers suggested that AID and DNA polymerases η and θ contribute to mutagenesis in contexts that almost universally correlate with the context of mutations in A:T and G:C sites during the affinity maturation of immunoglobulin genes. Previously, we demonstrated that AID contributes to mutagenesis in (de)methylated genomic DNA in various cancers. Our current analysis of methylation data from malignant lymphomas suggests that driver genes are subject to different (de)methylation processes than non-driver genes and, in addition to AID, the activity of pols η and θ contributes to the establishment of methylation-dependent mutation profiles. This may reflect the functional importance of interplay between mutagenesis in cancer and (de)methylation processes in different groups of genes. The resulting changes in CpG methylation levels and chromatin modifications are likely to cause changes in the expression levels of driver genes that may affect cancer initiation and/or progression.https://www.frontiersin.org/articles/10.3389/fgene.2021.671866/fulltumor cellsfrequency matricesdatabasecomputational biologysomatic hypermutationimmunoglobulin genes