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Raiber EA, Beraldi D, Martínez Cuesta S, McInroy GR, Kingsbury Z, Becq J, James T, Lopes M, Allinson K, Field S, Humphray S, Santarius T, Watts C, Bentley D, Balasubramanian S. Base resolution maps reveal the importance of 5-hydroxymethylcytosine in a human glioblastoma. NPJ Genom Med 2017; 2:6. [PMID: 29263824 PMCID: PMC5677956 DOI: 10.1038/s41525-017-0007-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 12/09/2016] [Accepted: 12/16/2016] [Indexed: 01/24/2023] Open
Abstract
Aberrant genetic and epigenetic variations drive malignant transformation and are hallmarks of cancer. Using PCR-free sample preparation we achieved the first in-depth whole genome (hydroxyl)-methylcytosine, single-base-resolution maps from a glioblastoma tumour/margin sample of a patient. Our data provide new insights into how genetic and epigenetic variations are interrelated. In the tumour, global hypermethylation with a depletion of 5-hydroxymethylcytosine was observed. The majority of single nucleotide variations were identified as cytosine-to-thymine deamination products within CpG context, where cytosine was preferentially methylated in the margin. Notably, we observe that cells neighbouring tumour cells display epigenetic alterations characteristic of the tumour itself although genetically they appear "normal". This shows the potential transfer of epigenetic information between cells that contributes to the intratumour heterogeneity of glioblastoma. Together, our reference (epi)-genome provides a human model system for future studies that aim to explore the link between genetic and epigenetic variations in cancer progression.
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Affiliation(s)
- Eun-Ang Raiber
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Dario Beraldi
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | | | | | - Zoya Kingsbury
- Illumina Ltd., Chesterford Research Park, Little Chesterford, Saffron Walden, UK
| | - Jennifer Becq
- Illumina Ltd., Chesterford Research Park, Little Chesterford, Saffron Walden, UK
| | - Terena James
- Illumina Ltd., Chesterford Research Park, Little Chesterford, Saffron Walden, UK
| | - Margarida Lopes
- Illumina Ltd., Chesterford Research Park, Little Chesterford, Saffron Walden, UK
| | - Kieren Allinson
- Department of Pathology, Addenbrooke’s Hospital, Cambridge University Hospitals, Cambridge, UK
| | - Sarah Field
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Sean Humphray
- Illumina Ltd., Chesterford Research Park, Little Chesterford, Saffron Walden, UK
| | - Thomas Santarius
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
| | - Colin Watts
- Department of Clinical Neurosciences, Division of Neurosurgery, University of Cambridge, Cambridge, UK
| | - David Bentley
- Illumina Ltd., Chesterford Research Park, Little Chesterford, Saffron Walden, UK
| | - Shankar Balasubramanian
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
- Department of Chemistry, University of Cambridge, Cambridge, UK
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
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Seplyarskiy VB, Andrianova MA, Bazykin GA. APOBEC3A/B-induced mutagenesis is responsible for 20% of heritable mutations in the TpCpW context. Genome Res 2016; 27:175-184. [PMID: 27940951 PMCID: PMC5287224 DOI: 10.1101/gr.210336.116] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 12/01/2016] [Indexed: 12/18/2022]
Abstract
APOBEC3A/B cytidine deaminase is responsible for the majority of cancerous mutations in a large fraction of cancer samples. However, its role in heritable mutagenesis remains very poorly understood. Recent studies have demonstrated that both in yeast and in human cancerous cells, most APOBEC3A/B-induced mutations occur on the lagging strand during replication and on the nontemplate strand of transcribed regions. Here, we use data on rare human polymorphisms, interspecies divergence, and de novo mutations to study germline mutagenesis and to analyze mutations at nucleotide contexts prone to attack by APOBEC3A/B. We show that such mutations occur preferentially on the lagging strand and on nontemplate strands of transcribed regions. Moreover, we demonstrate that APOBEC3A/B-like mutations tend to produce strand-coordinated clusters, which are also biased toward the lagging strand. Finally, we show that the mutation rate is increased 3' of C→G mutations to a greater extent than 3' of C→T mutations, suggesting pervasive trans-lesion bypass of the APOBEC3A/B-induced damage. Our study demonstrates that 20% of C→T and C→G mutations in the TpCpW context-where W denotes A or T, segregating as polymorphisms in human population-or 1.4% of all heritable mutations are attributable to APOBEC3A/B activity.
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Affiliation(s)
- Vladimir B Seplyarskiy
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow 127994, Russia.,Pirogov Russian National Research Medical University, Moscow 117997, Russia
| | - Maria A Andrianova
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow 127994, Russia.,Pirogov Russian National Research Medical University, Moscow 117997, Russia.,Lomonosov Moscow State University, Moscow 119234, Russia
| | - Georgii A Bazykin
- Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow 127994, Russia.,Pirogov Russian National Research Medical University, Moscow 117997, Russia.,Lomonosov Moscow State University, Moscow 119234, Russia.,Skolkovo Institute of Science and Technology, Skolkovo 143026, Russia
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53
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Shi J, Hua X, Zhu B, Ravichandran S, Wang M, Nguyen C, Brodie SA, Palleschi A, Alloisio M, Pariscenti G, Jones K, Zhou W, Bouk AJ, Boland J, Hicks B, Risch A, Bennett H, Luke BT, Song L, Duan J, Liu P, Kohno T, Chen Q, Meerzaman D, Marconett C, Laird-Offringa I, Mills I, Caporaso NE, Gail MH, Pesatori AC, Consonni D, Bertazzi PA, Chanock SJ, Landi MT. Somatic Genomics and Clinical Features of Lung Adenocarcinoma: A Retrospective Study. PLoS Med 2016; 13:e1002162. [PMID: 27923066 PMCID: PMC5140047 DOI: 10.1371/journal.pmed.1002162] [Citation(s) in RCA: 127] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 09/23/2016] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is the most common histologic subtype of lung cancer and has a high risk of distant metastasis at every disease stage. We aimed to characterize the genomic landscape of LUAD and identify mutation signatures associated with tumor progression. METHODS AND FINDINGS We performed an integrative genomic analysis, incorporating whole exome sequencing (WES), determination of DNA copy number and DNA methylation, and transcriptome sequencing for 101 LUAD samples from the Environment And Genetics in Lung cancer Etiology (EAGLE) study. We detected driver genes by testing whether the nonsynonymous mutation rate was significantly higher than the background mutation rate and replicated our findings in public datasets with 724 samples. We performed subclonality analysis for mutations based on mutant allele data and copy number alteration data. We also tested the association between mutation signatures and clinical outcomes, including distant metastasis, survival, and tumor grade. We identified and replicated two novel candidate driver genes, POU class 4 homeobox 2 (POU4F2) (mutated in 9 [8.9%] samples) and ZKSCAN1 (mutated in 6 [5.9%] samples), and characterized their major deleterious mutations. ZKSCAN1 was part of a mutually exclusive gene set that included the RTK/RAS/RAF pathway genes BRAF, EGFR, KRAS, MET, and NF1, indicating an important driver role for this gene. Moreover, we observed strong associations between methylation in specific genomic regions and somatic mutation patterns. In the tumor evolution analysis, four driver genes had a significantly lower fraction of subclonal mutations (FSM), including TP53 (p = 0.007), KEAP1 (p = 0.012), STK11 (p = 0.0076), and EGFR (p = 0.0078), suggesting a tumor initiation role for these genes. Subclonal mutations were significantly enriched in APOBEC-related signatures (p < 2.5×10-50). The total number of somatic mutations (p = 0.0039) and the fraction of transitions (p = 5.5×10-4) were associated with increased risk of distant metastasis. Our study's limitations include a small number of LUAD patients for subgroup analyses and a single-sample design for investigation of subclonality. CONCLUSIONS These data provide a genomic characterization of LUAD pathogenesis and progression. The distinct clonal and subclonal mutation signatures suggest possible diverse carcinogenesis pathways for endogenous and exogenous exposures, and may serve as a foundation for more effective treatments for this lethal disease. LUAD's high heterogeneity emphasizes the need to further study this tumor type and to associate genomic findings with clinical outcomes.
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Affiliation(s)
- Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Xing Hua
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Sarangan Ravichandran
- Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Mingyi Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Cu Nguyen
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Seth A. Brodie
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Alessandro Palleschi
- Division of Thoracic Surgery, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
| | - Marco Alloisio
- Division of Thoracic Surgery, Istituto Clinico Humanitas, Rozzano, Milan, Italy
| | | | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Aaron J. Bouk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Joseph Boland
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Adam Risch
- Information Management Services, Inc., Rockville, Maryland, United States of America
| | - Hunter Bennett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Brian T. Luke
- Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland, United States of America
| | - Jubao Duan
- Center for Psychiatric Genetics, Department of Psychiatry and Behavioral Sciences, North Shore University Health System Research Institute, University of Chicago Pritzker School of Medicine, Evanston, Illinois, United States of America
| | - Pengyuan Liu
- Department of Physiology & Cancer Center, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Qingrong Chen
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Daoud Meerzaman
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Crystal Marconett
- Departments of Surgery and of Biochemistry and Molecular Biology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Ite Laird-Offringa
- Departments of Surgery and of Biochemistry and Molecular Biology, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Ian Mills
- Prostate Cancer UK/Movember Centre of Excellence for Prostate Cancer Research, Centre for Cancer Research and Cell Biology, Queen’s University, Belfast, United Kingdom
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Mitchell H. Gail
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Angela C. Pesatori
- Epidemiology Unit, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, Universita’ degli Studi di Milano, Milan, Italy
| | - Dario Consonni
- Epidemiology Unit, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
| | - Pier Alberto Bertazzi
- Epidemiology Unit, Fondazione IRCCS Ca’ Granda—Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community Health, Universita’ degli Studi di Milano, Milan, Italy
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America
- * E-mail:
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Chen J, Ye Q, Deng D, Yan J, Lin H, Shen T, Lin Y. KIF21A mutation in two Chinese families with congenital fibrosis of the extraocular muscles type 1 and 3. Mol Med Rep 2016; 14:3145-51. [PMID: 27513105 PMCID: PMC5042766 DOI: 10.3892/mmr.2016.5624] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 07/06/2016] [Indexed: 01/29/2023] Open
Abstract
Congenital fibrosis of the extraocular muscles (CFEOM) is a hereditary ocular disease and can be classified into three subtypes. The aim of the present study was to determine the genetic basis and describe the clinical phenotype of CFEOM type 1 and 3. Two Chinese families with CFEOM type 1 and 3 were identified. The patients and their family members were subjected to comprehensive ophthalmic examinations, including best-corrected visual acuity, slit-lamp examination, fundus examination, assessment of palpebral fissure size, levator function, ocular motility, and cover and forced duction tests. Genomic DNA was extracted from the leukocytes of venous blood samples collected from the two families and from 200 unrelated control subjects from the same population. Coding exons of the KIF21A gene were amplified using polymerase chain reaction analysis and sequenced directly in the two probands. The detected mutations were further analyzed in all available family members and the unrelated control subjects. A heterozygous mutation, c.2860C>T (p.R954W), in KIF21A was identified in the two families, and this was cosegregated with the presence of the diseases in the two families, however, it was absent in the 200 normal control subjects. Among the three affected family members with CFEOM1, differences were observed with regard to the presence of aberrant eye movement. The results indicated that, in the patients with CFEOM1 and CFEOM3, the disease was caused by the same KIF21A gene mutation. The KIF21A gene may be a major disease-causing gene for Chinese patients with CFEOM3. Phenotypic heterogeneity was observed in the patients with CFEOM1.
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Affiliation(s)
- Jingchang Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
| | - Qingqing Ye
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
| | - Daming Deng
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
| | - Jianhua Yan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
| | - Houbian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
| | - Tao Shen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
| | - Ying Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat‑Sen University, Guangzhou, Guangdong 510060, P.R. China
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Loss of BRCA1 or BRCA2 markedly increases the rate of base substitution mutagenesis and has distinct effects on genomic deletions. Oncogene 2016; 36:746-755. [PMID: 27452521 PMCID: PMC5096687 DOI: 10.1038/onc.2016.243] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Revised: 04/20/2016] [Accepted: 05/26/2016] [Indexed: 12/23/2022]
Abstract
Loss-of-function mutations in the BRCA1 and BRCA2 genes increase the risk of cancer. Owing to their function in homologous recombination repair, much research has focused on the unstable genomic phenotype of BRCA1/2 mutant cells manifest mainly as large-scale rearrangements. We used whole-genome sequencing of multiple isogenic chicken DT40 cell clones to precisely determine the consequences of BRCA1/2 loss on all types of genomic mutagenesis. Spontaneous base substitution mutation rates increased sevenfold upon the disruption of either BRCA1 or BRCA2, and the arising mutation spectra showed strong and specific correlation with a mutation signature associated with BRCA1/2 mutant tumours. To model endogenous alkylating damage, we determined the mutation spectrum caused by methyl methanesulfonate (MMS), and showed that MMS also induces more base substitution mutations in BRCA1/2-deficient cells. Spontaneously arising and MMS-induced insertion/deletion mutations and large rearrangements were also more common in BRCA1/2 mutant cells compared with the wild-type control. A difference in the short deletion phenotypes of BRCA1 and BRCA2 suggested distinct roles for the two proteins in the processing of DNA lesions, as BRCA2 mutants contained more short deletions, with a wider size distribution, which frequently showed microhomology near the breakpoints resembling repair by non-homologous end joining. An increased and prolonged gamma-H2AX signal in MMS-treated BRCA1/2 cells suggested an aberrant processing of stalled replication forks as the cause of increased mutagenesis. The high rate of base substitution mutagenesis demonstrated by our experiments is likely to significantly contribute to the oncogenic effect of the inactivation of BRCA1 or BRCA2.
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56
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Preston JL, Royall AE, Randel MA, Sikkink KL, Phillips PC, Johnson EA. High-specificity detection of rare alleles with Paired-End Low Error Sequencing (PELE-Seq). BMC Genomics 2016; 17:464. [PMID: 27301885 PMCID: PMC4908710 DOI: 10.1186/s12864-016-2669-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Accepted: 04/25/2016] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Polymorphic loci exist throughout the genomes of a population and provide the raw genetic material needed for a species to adapt to changes in the environment. The minor allele frequencies of rare Single Nucleotide Polymorphisms (SNPs) within a population have been difficult to track with Next-Generation Sequencing (NGS), due to the high error rate of standard methods such as Illumina sequencing. RESULTS We have developed a wet-lab protocol and variant-calling method that identifies both sequencing and PCR errors, called Paired-End Low Error Sequencing (PELE-Seq). To test the specificity and sensitivity of the PELE-Seq method, we sequenced control E. coli DNA libraries containing known rare alleles present at frequencies ranging from 0.2-0.4 % of the total reads. PELE-Seq had higher specificity and sensitivity than standard libraries. We then used PELE-Seq to characterize rare alleles in a Caenorhabditis remanei nematode worm population before and after laboratory adaptation, and found that minor and rare alleles can undergo large changes in frequency during lab-adaptation. CONCLUSION We have developed a method of rare allele detection that mitigates both sequencing and PCR errors, called PELE-Seq. PELE-Seq was evaluated using control E. coli populations and was then used to compare a wild C. remanei population to a lab-adapted population. The PELE-Seq method is ideal for investigating the dynamics of rare alleles in a broad range of reduced-representation sequencing methods, including targeted amplicon sequencing, RAD-Seq, ddRAD, and GBS. PELE-Seq is also well-suited for whole genome sequencing of mitochondria and viruses, and for high-throughput rare mutation screens.
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Affiliation(s)
- Jessica L Preston
- Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA.
| | - Ariel E Royall
- Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA
| | - Melissa A Randel
- Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA
| | - Kristin L Sikkink
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Patrick C Phillips
- Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA
| | - Eric A Johnson
- Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA
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Szikriszt B, Póti Á, Pipek O, Krzystanek M, Kanu N, Molnár J, Ribli D, Szeltner Z, Tusnády GE, Csabai I, Szallasi Z, Swanton C, Szüts D. A comprehensive survey of the mutagenic impact of common cancer cytotoxics. Genome Biol 2016; 17:99. [PMID: 27161042 PMCID: PMC4862131 DOI: 10.1186/s13059-016-0963-7] [Citation(s) in RCA: 130] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 04/22/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genomic mutations caused by cytotoxic agents used in cancer chemotherapy may cause secondary malignancies as well as contribute to the evolution of treatment-resistant tumour cells. The stable diploid genome of the chicken DT40 lymphoblast cell line, an established DNA repair model system, is well suited to accurately assay genomic mutations. RESULTS We use whole genome sequencing of multiple DT40 clones to determine the mutagenic effect of eight common cytotoxics used for the treatment of millions of patients worldwide. We determine the spontaneous mutagenesis rate at 2.3 × 10(-10) per base per cell division and find that cisplatin, cyclophosphamide and etoposide induce extra base substitutions with distinct spectra. After four cycles of exposure, cisplatin induces 0.8 mutations per Mb, equivalent to the median mutational burden in common leukaemias. Cisplatin-induced mutations, including short insertions and deletions, are mainly located at sites of putative intrastrand crosslinks. We find two of the newly defined cisplatin-specific mutation types as causes of the reversion of BRCA2 mutations in emerging cisplatin-resistant tumours or cell clones. Gemcitabine, 5-fluorouracil, hydroxyurea, doxorubicin and paclitaxel have no measurable mutagenic effect. The cisplatin-induced mutation spectrum shows good correlation with cancer mutation signatures attributed to smoking and other sources of guanine-directed base damage. CONCLUSION This study provides support for the use of cell line mutagenesis assays to validate or predict the mutagenic effect of environmental and iatrogenic exposures. Our results suggest genetic reversion due to cisplatin-induced mutations as a distinct mechanism for developing resistance.
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Affiliation(s)
- Bernadett Szikriszt
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1117, Budapest, Hungary
| | - Ádám Póti
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1117, Budapest, Hungary
| | - Orsolya Pipek
- Department of Physics of Complex Systems, Eötvös Loránd University, 1117, Budapest, Hungary
| | - Marcin Krzystanek
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800, Lyngby, Denmark
| | - Nnennaya Kanu
- CRUK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - János Molnár
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1117, Budapest, Hungary
| | - Dezső Ribli
- Department of Physics of Complex Systems, Eötvös Loránd University, 1117, Budapest, Hungary
| | - Zoltán Szeltner
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1117, Budapest, Hungary
| | - Gábor E Tusnády
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1117, Budapest, Hungary
| | - István Csabai
- Department of Physics of Complex Systems, Eötvös Loránd University, 1117, Budapest, Hungary
| | - Zoltan Szallasi
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, 2800, Lyngby, Denmark.
- Computational Health Informatics Program (CHIP), Boston Children's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, 02215, USA.
- MTA-SE-NAP, Brain Metastasis Research Group, 2nd Department of Pathology, Semmelweis University, 1091, Budapest, Hungary.
| | - Charles Swanton
- CRUK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK.
- Francis Crick Institute, 44 Lincoln's Inn Fields, London, WCA2 3PX, UK.
| | - Dávid Szüts
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 1117, Budapest, Hungary.
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Panchin AY, Makeev VJ, Medvedeva YA. Preservation of methylated CpG dinucleotides in human CpG islands. Biol Direct 2016; 11:11. [PMID: 27005429 PMCID: PMC4804638 DOI: 10.1186/s13062-016-0113-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Accepted: 03/14/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND CpG dinucleotides are extensively underrepresented in mammalian genomes. It is widely accepted that genome-wide CpG depletion is predominantly caused by an elevated CpG > TpG mutation rate due to frequent cytosine methylation in the CpG context. Meanwhile the CpG content in genomic regions called CpG islands (CGIs) is noticeably higher. This observation is usually explained by lower CpG > TpG substitution rates within CGIs due to reduced cytosine methylation levels. RESULTS By combining genome-wide data on substitutions and methylation levels in several human cell types we have shown that cytosine methylation in human sperm cells was strongly and consistently associated with increased CpG > TpG substitution rates. In contrast, this correlation was not observed for embryonic stem cells or fibroblasts. Surprisingly, the decreased sperm CpG methylation level was insufficient to explain the reduced CpG > TpG substitution rates in CGIs. CONCLUSIONS While cytosine methylation in human sperm cells is strongly associated with increased CpG > TpG substitution rates, substitution rates are significantly reduced within CGIs even after sperm CpG methylation levels and local GC content are controlled for. Our findings are consistent with strong negative selection preserving methylated CpGs within CGIs including intergenic ones.
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Affiliation(s)
- Alexander Y Panchin
- Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, 127994, Russia
| | - Vsevolod J Makeev
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, GSP-1, 119991, Russia.,Research Institute for Genetics and Selection of Industrial Microorganisms, Moscow, 117545, Russia.,Moscow Institute of Physics and Technology, Moscow Regoin, 141700, Russia
| | - Yulia A Medvedeva
- Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, GSP-1, 119991, Russia. .,Center for Bioengineering, Research Center of Biotechnology RAS, Russian Academy of Science, Moscow, 117312, Russia.
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Bueno R, Stawiski EW, Goldstein LD, Durinck S, De Rienzo A, Modrusan Z, Gnad F, Nguyen TT, Jaiswal BS, Chirieac LR, Sciaranghella D, Dao N, Gustafson CE, Munir KJ, Hackney JA, Chaudhuri A, Gupta R, Guillory J, Toy K, Ha C, Chen YJ, Stinson J, Chaudhuri S, Zhang N, Wu TD, Sugarbaker DJ, de Sauvage FJ, Richards WG, Seshagiri S. Comprehensive genomic analysis of malignant pleural mesothelioma identifies recurrent mutations, gene fusions and splicing alterations. Nat Genet 2016; 48:407-16. [PMID: 26928227 DOI: 10.1038/ng.3520] [Citation(s) in RCA: 618] [Impact Index Per Article: 77.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Accepted: 02/04/2016] [Indexed: 02/06/2023]
Abstract
We analyzed transcriptomes (n = 211), whole exomes (n = 99) and targeted exomes (n = 103) from 216 malignant pleural mesothelioma (MPM) tumors. Using RNA-seq data, we identified four distinct molecular subtypes: sarcomatoid, epithelioid, biphasic-epithelioid (biphasic-E) and biphasic-sarcomatoid (biphasic-S). Through exome analysis, we found BAP1, NF2, TP53, SETD2, DDX3X, ULK2, RYR2, CFAP45, SETDB1 and DDX51 to be significantly mutated (q-score ≥ 0.8) in MPMs. We identified recurrent mutations in several genes, including SF3B1 (∼2%; 4/216) and TRAF7 (∼2%; 5/216). SF3B1-mutant samples showed a splicing profile distinct from that of wild-type tumors. TRAF7 alterations occurred primarily in the WD40 domain and were, except in one case, mutually exclusive with NF2 alterations. We found recurrent gene fusions and splice alterations to be frequent mechanisms for inactivation of NF2, BAP1 and SETD2. Through integrated analyses, we identified alterations in Hippo, mTOR, histone methylation, RNA helicase and p53 signaling pathways in MPMs.
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Affiliation(s)
- Raphael Bueno
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric W Stawiski
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA.,Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Leonard D Goldstein
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA.,Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Steffen Durinck
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA.,Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Assunta De Rienzo
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Zora Modrusan
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Florian Gnad
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Thong T Nguyen
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Bijay S Jaiswal
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Lucian R Chirieac
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Daniele Sciaranghella
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Nhien Dao
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Corinne E Gustafson
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kiara J Munir
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jason A Hackney
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Amitabha Chaudhuri
- Bioinformatics Department, MedGenome Labs, Pvt., Ltd., Narayana Health City, Bangalore, India
| | - Ravi Gupta
- Bioinformatics Department, MedGenome Labs, Pvt., Ltd., Narayana Health City, Bangalore, India
| | - Joseph Guillory
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Karen Toy
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Connie Ha
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Ying-Jiun Chen
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Jeremy Stinson
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Subhra Chaudhuri
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Na Zhang
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Thomas D Wu
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - David J Sugarbaker
- Division of Thoracic Surgery, Baylor College of Medicine, Houston, Texas, USA
| | - Frederic J de Sauvage
- Molecular Oncology Department, Genentech, Inc., South San Francisco, California, USA
| | - William G Richards
- Division of Thoracic Surgery, The Lung Center and the International Mesothelioma Program, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Somasekar Seshagiri
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
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Temiz NA, Donohue DE, Bacolla A, Vasquez KM, Cooper DN, Mudunuri U, Ivanic J, Cer RZ, Yi M, Stephens RM, Collins JR, Luke BT. The somatic autosomal mutation matrix in cancer genomes. Hum Genet 2015; 134:851-64. [PMID: 26001532 PMCID: PMC4495249 DOI: 10.1007/s00439-015-1566-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 05/12/2015] [Indexed: 01/26/2023]
Abstract
DNA damage in somatic cells originates from both environmental and endogenous sources, giving rise to mutations through multiple mechanisms. When these mutations affect the function of critical genes, cancer may ensue. Although identifying genomic subsets of mutated genes may inform therapeutic options, a systematic survey of tumor mutational spectra is required to improve our understanding of the underlying mechanisms of mutagenesis involved in cancer etiology. Recent studies have presented genome-wide sets of somatic mutations as a 96-element vector, a procedure that only captures the immediate neighbors of the mutated nucleotide. Herein, we present a 32 × 12 mutation matrix that captures the nucleotide pattern two nucleotides upstream and downstream of the mutation. A somatic autosomal mutation matrix (SAMM) was constructed from tumor-specific mutations derived from each of 909 individual cancer genomes harboring a total of 10,681,843 single-base substitutions. In addition, mechanistic template mutation matrices (MTMMs) representing oxidative DNA damage, ultraviolet-induced DNA damage, (5m)CpG deamination, and APOBEC-mediated cytosine mutation, are presented. MTMMs were mapped to the individual tumor SAMMs to determine the maximum contribution of each mutational mechanism to the overall mutation pattern. A Manhattan distance across all SAMM elements between any two tumor genomes was used to determine their relative distance. Employing this metric, 89.5% of all tumor genomes were found to have a nearest neighbor from the same tissue of origin. When a distance-dependent 6-nearest neighbor classifier was used, 10.4% of the SAMMs had an Undetermined tissue of origin, and 92.2% of the remaining SAMMs were assigned to the correct tissue of origin. [corrected]. Thus, although tumors from different tissues may have similar mutation patterns, their SAMMs often display signatures that are characteristic of specific tissues.
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Affiliation(s)
- Nuri A. Temiz
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
- />Masonic Cancer Center, University of Minnesota, 2-120 CCRB, 2231 6th St SE, Minneapolis, MN 55455 USA
| | - Duncan E. Donohue
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
- />US Army Medical Research and Material Command, 568 Doughten Dr., Fort Detrick, Frederick, MD 21702 USA
| | - Albino Bacolla
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
- />Division of Pharmacology and Toxicology, The University of Texas at Austin, Austin, TX 78723 USA
| | - Karen M. Vasquez
- />Division of Pharmacology and Toxicology, The University of Texas at Austin, Austin, TX 78723 USA
| | - David N. Cooper
- />Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, CF14 4XN UK
| | - Uma Mudunuri
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
| | - Joseph Ivanic
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
| | - Regina Z. Cer
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
- />Naval Medical Research Center-Frederick, 8400 Research Plaza, Fort Detrick, Frederick, MD 21702 USA
| | - Ming Yi
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
| | - Robert M. Stephens
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
| | - Jack R. Collins
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
| | - Brian T. Luke
- />In Silico Research Centers of Excellence, Advanced Biomedical Computing Center, Information Systems Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., P.O. Box B, Frederick, MD 21702 USA
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Abstract
PURPOSE OF REVIEW The mutational patterns of cancer genomes allow conclusions or generation of hypotheses as to what mechanisms or environmental, dietary or occupational exposures might have created the mutations and therefore will have contributed to the formation of the cancer. The arguments for cancer causation are particularly convincing when epidemiological evidence can support the theory that a particular exposure is linked to the cancer and when the mutational process can be recapitulated in experimental systems. In this review, I will summarize recent evidence from cancer genome sequencing studies to exemplify how the environment can modulate tumor genomes. RECENT FINDINGS Mutation data from cancer genomes clearly implicate the ultraviolet B component of sunlight in melanoma skin cancers, tobacco carcinogen-induced DNA damage in lung cancers and aristolochic acid, a chemical compound found in certain herbal medicines, in urothelial carcinomas of exposed populations. However, large-scale sequencing is beginning to unveil other unique mutational spectra in particular cancers, such as A-to-C mutations at 5'AA dinucleotides in esophageal adenocarcinomas and complex mutational patterns in liver cancer. These datasets can form the basis for future studies aimed at identifying the carcinogens at work. SUMMARY The findings have substantial implications for our understanding of cancer causation and cancer prevention.
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62
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Sheffield BS, Tinker AV, Shen Y, Hwang H, Li-Chang HH, Pleasance E, Ch'ng C, Lum A, Lorette J, McConnell YJ, Sun S, Jones SJM, Gown AM, Huntsman DG, Schaeffer DF, Churg A, Yip S, Laskin J, Marra MA. Personalized oncogenomics: clinical experience with malignant peritoneal mesothelioma using whole genome sequencing. PLoS One 2015; 10:e0119689. [PMID: 25798586 PMCID: PMC4370594 DOI: 10.1371/journal.pone.0119689] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Accepted: 01/15/2015] [Indexed: 12/31/2022] Open
Abstract
Peritoneal mesothelioma is a rare and sometimes lethal malignancy that presents a clinical challenge for both diagnosis and management. Recent studies have led to a better understanding of the molecular biology of peritoneal mesothelioma. Translation of the emerging data into better treatments and outcome is needed. From two patients with peritoneal mesothelioma, we derived whole genome sequences, RNA expression profiles, and targeted deep sequencing data. Molecular data were made available for translation into a clinical treatment plan. Treatment responses and outcomes were later examined in the context of molecular findings. Molecular studies presented here provide the first reported whole genome sequences of peritoneal mesothelioma. Mutations in known mesothelioma-related genes NF2, CDKN2A, LATS2, amongst others, were identified. Activation of MET-related signaling pathways was demonstrated in both cases. A hypermutated phenotype was observed in one case (434 vs. 18 single nucleotide variants) and was associated with a favourable outcome despite sarcomatoid histology and multifocal disease. This study represents the first report of whole genome analyses of peritoneal mesothelioma, a key step in the understanding and treatment of this disease.
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Affiliation(s)
- Brandon S Sheffield
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Anna V Tinker
- British Columbia Cancer Agency, Division of Medical Oncology, Vancouver Centre, Vancouver, Canada
| | - Yaoqing Shen
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, Canada
| | - Harry Hwang
- PhenoPath Laboratories, Seattle, Washington, United States of America
| | - Hector H Li-Chang
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Erin Pleasance
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, Canada
| | - Carolyn Ch'ng
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, Canada
| | - Amy Lum
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Julie Lorette
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Yarrow J McConnell
- University of British Columbia, Department of Surgery, Surgical Oncology, Vancouver, Canada
| | - Sophie Sun
- British Columbia Cancer Agency, Division of Medical Oncology, Vancouver Centre, Vancouver, Canada
| | - Steven J M Jones
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, Canada
| | - Allen M Gown
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada; PhenoPath Laboratories, Seattle, Washington, United States of America
| | - David G Huntsman
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - David F Schaeffer
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Andrew Churg
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Stephen Yip
- University of British Columbia, Department of Pathology and Laboratory Medicine, Vancouver, Canada
| | - Janessa Laskin
- British Columbia Cancer Agency, Division of Medical Oncology, Vancouver Centre, Vancouver, Canada
| | - Marco A Marra
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, Canada
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64
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Bateson P, Gluckman P, Hanson M. The biology of developmental plasticity and the Predictive Adaptive Response hypothesis. J Physiol 2015; 592:2357-68. [PMID: 24882817 DOI: 10.1113/jphysiol.2014.271460] [Citation(s) in RCA: 307] [Impact Index Per Article: 34.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
Many forms of developmental plasticity have been observed and these are usually beneficial to the organism. The Predictive Adaptive Response (PAR) hypothesis refers to a form of developmental plasticity in which cues received in early life influence the development of a phenotype that is normally adapted to the environmental conditions of later life. When the predicted and actual environments differ, the mismatch between the individual's phenotype and the conditions in which it finds itself can have adverse consequences for Darwinian fitness and, later, for health. Numerous examples exist of the long-term effects of cues indicating a threatening environment affecting the subsequent phenotype of the individual organism. Other examples consist of the long-term effects of variations in environment within a normal range, particularly in the individual's nutritional environment. In mammals the cues to developing offspring are often provided by the mother's plane of nutrition, her body composition or stress levels. This hypothetical effect in humans is thought to be important by some scientists and controversial by others. In resolving the conflict, distinctions should be drawn between PARs induced by normative variations in the developmental environment and the ill effects on development of extremes in environment such as a very poor or very rich nutritional environment. Tests to distinguish between different developmental processes impacting on adult characteristics are proposed. Many of the mechanisms underlying developmental plasticity involve molecular epigenetic processes, and their elucidation in the context of PARs and more widely has implications for the revision of classical evolutionary theory.
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Affiliation(s)
- Patrick Bateson
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Peter Gluckman
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Mark Hanson
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton and NIHR Nutrition Biomedical Research Centre, Universazity Hospital Southampton, Southampton, UK
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65
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Abstract
Explanations for biological evolution in terms of changes in gene frequencies refer to outcomes rather than process. Integrating epigenetic studies with older evolutionary theories has drawn attention to the ways in which evolution occurs. Adaptation at the level of the gene is givingway to adaptation at the level of the organism and higher-order assemblages of organisms. These ideas impact on the theories of how cooperation might have evolved. Two of the theories, i.e. that cooperating individuals are genetically related or that they cooperate for self-interested reasons, have been accepted for a long time. The idea that adaptation takes place at the level of groups is much more controversial. However, bringing together studies of development with those of evolution is taking away much of the heat in the debate about the evolution of group behaviour.
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66
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Abstract
A role for somatic mutations in carcinogenesis is well accepted, but the degree to which mutation rates influence cancer initiation and development is under continuous debate. Recently accumulated genomic data have revealed that thousands of tumour samples are riddled by hypermutation, broadening support for the idea that many cancers acquire a mutator phenotype. This major expansion of cancer mutation data sets has provided unprecedented statistical power for the analysis of mutation spectra, which has confirmed several classical sources of mutation in cancer, highlighted new prominent mutation sources (such as apolipoprotein B mRNA editing enzyme catalytic polypeptide-like (APOBEC) enzymes) and empowered the search for cancer drivers. The confluence of cancer mutation genomics and mechanistic insight provides great promise for understanding the basic development of cancer through mutations.
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67
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Durinck S, Stawiski EW, Pavía-Jiménez A, Modrusan Z, Kapur P, Jaiswal BS, Zhang N, Toffessi-Tcheuyap V, Nguyen TT, Pahuja KB, Chen YJ, Saleem S, Chaudhuri S, Heldens S, Jackson M, Peña-Llopis S, Guillory J, Toy K, Ha C, Harris CJ, Holloman E, Hill HM, Stinson J, Rivers CS, Janakiraman V, Wang W, Kinch LN, Grishin NV, Haverty PM, Chow B, Gehring JS, Reeder J, Pau G, Wu TD, Margulis V, Lotan Y, Sagalowsky A, Pedrosa I, de Sauvage FJ, Brugarolas J, Seshagiri S. Spectrum of diverse genomic alterations define non-clear cell renal carcinoma subtypes. Nat Genet 2014; 47:13-21. [PMID: 25401301 DOI: 10.1038/ng.3146] [Citation(s) in RCA: 270] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 10/24/2014] [Indexed: 12/17/2022]
Abstract
To further understand the molecular distinctions between kidney cancer subtypes, we analyzed exome, transcriptome and copy number alteration data from 167 primary human tumors that included renal oncocytomas and non-clear cell renal cell carcinomas (nccRCCs), consisting of papillary (pRCC), chromophobe (chRCC) and translocation (tRCC) subtypes. We identified ten significantly mutated genes in pRCC, including MET, NF2, SLC5A3, PNKD and CPQ. MET mutations occurred in 15% (10/65) of pRCC samples and included previously unreported recurrent activating mutations. In chRCC, we found TP53, PTEN, FAAH2, PDHB, PDXDC1 and ZNF765 to be significantly mutated. Gene expression analysis identified a five-gene set that enabled the molecular classification of chRCC, renal oncocytoma and pRCC. Using RNA sequencing, we identified previously unreported gene fusions, including ACTG1-MITF fusion. Ectopic expression of the ACTG1-MITF fusion led to cellular transformation and induced the expression of downstream target genes. Finally, we observed upregulation of the anti-apoptotic factor BIRC7 in MiTF-high RCC tumors, suggesting a potential therapeutic role for BIRC7 inhibitors.
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Affiliation(s)
- Steffen Durinck
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA.,Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Eric W Stawiski
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA.,Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Andrea Pavía-Jiménez
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Zora Modrusan
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Payal Kapur
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Bijay S Jaiswal
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Na Zhang
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Vanina Toffessi-Tcheuyap
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Thong T Nguyen
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Kanika Bajaj Pahuja
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Ying-Jiun Chen
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Sadia Saleem
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Subhra Chaudhuri
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Sherry Heldens
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Marlena Jackson
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Samuel Peña-Llopis
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Joseph Guillory
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Karen Toy
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Connie Ha
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Corissa J Harris
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Eboni Holloman
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Haley M Hill
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jeremy Stinson
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | | | | | - Weiru Wang
- Structural Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Lisa N Kinch
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Nick V Grishin
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Hughes Medical Institute, Chevy Chase, Maryland, USA
| | - Peter M Haverty
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Bernard Chow
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Julian S Gehring
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Jens Reeder
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Gregoire Pau
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Thomas D Wu
- Bioinformatics and Computational Biology Department, Genentech, Inc., South San Francisco, California, USA
| | - Vitaly Margulis
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Yair Lotan
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Arthur Sagalowsky
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Urology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Ivan Pedrosa
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Frederic J de Sauvage
- Molecular Oncology Department, Genentech, Inc., South San Francisco, California, USA
| | - James Brugarolas
- Kidney Cancer Program, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Department of Developmental Biology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Somasekar Seshagiri
- Molecular Biology Department, Genentech, Inc., South San Francisco, California, USA
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68
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Westcott PMK, Halliwill KD, To MD, Rashid M, Rust AG, Keane TM, Delrosario R, Jen KY, Gurley KE, Kemp CJ, Fredlund E, Quigley DA, Adams DJ, Balmain A. The mutational landscapes of genetic and chemical models of Kras-driven lung cancer. Nature 2014; 517:489-92. [PMID: 25363767 PMCID: PMC4304785 DOI: 10.1038/nature13898] [Citation(s) in RCA: 250] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 09/29/2014] [Indexed: 02/07/2023]
Abstract
Next-generation sequencing of human tumours has refined our understanding of the mutational processes operative in cancer initiation and progression, yet major questions remain regarding factors that induce driver mutations, and the processes that shape their selection during tumourigenesis. We performed whole-exome sequencing (WES) on adenomas from three mouse models of non-small cell lung cancer (NSCLC), induced by exposure to carcinogens (Methylnitrosourea (MNU) and Urethane), or by genetic activation of Kras (KrasLA2). Although the MNU-induced tumours carried exactly the same initiating mutation in Kras as seen in the KrasLA2 model (G12D), MNU tumours had an average of 192 non-synonymous, somatic single nucleotide variants (SNVs), compared to only 6 in tumours from the KrasLA2 model. In contrast, the KrasLA2 tumours exhibited a significantly higher level of aneuploidy and copy number alterations (CNAs) compared to the carcinogen-induced tumours, suggesting that carcinogen and genetically-engineered models adopt different routes to tumour development. The wild type (WT) allele of Kras has been shown to act as a tumour suppressor in mouse models of NSCLC. We demonstrate that urethane-induced tumours from WT mice carry mostly (94%) Q61R Kras mutations, while those from Kras heterozygous animals carry mostly (92%) Q61L mutations, indicating a major role of germline Kras status in mutation selection during initiation. The exome-wide mutation spectra in carcinogen-induced tumours overwhelmingly display signatures of the initiating carcinogen, while adenocarcinomas acquire additional C>T mutations at CpG sites. These data provide a basis for understanding the conclusions from human tumour genome sequencing that identified two broad categories based on relative frequency of SNVs and CNAs1, and underline the importance of carcinogen models for understanding the complex mutation spectra seen in human cancers.
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Affiliation(s)
- Peter M K Westcott
- 1] Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA [2] Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, USA
| | - Kyle D Halliwill
- 1] Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA [2] Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California 94158, USA
| | - Minh D To
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA
| | - Mamunur Rashid
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK
| | - Alistair G Rust
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK
| | - Thomas M Keane
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK
| | - Reyno Delrosario
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA
| | - Kuang-Yu Jen
- Department of Pathology, University of California San Francisco, San Francisco, California 94143, USA
| | - Kay E Gurley
- Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
| | | | - Erik Fredlund
- Science for Life Laboratory, Department of Oncology-Pathology, Karolinska Institute, Stockholm 171 21, Sweden
| | - David A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1HH, UK
| | - Allan Balmain
- 1] Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California 94158, USA [2] Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, California 94158, USA
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69
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Divergence of gene body DNA methylation and evolution of plant duplicate genes. PLoS One 2014; 9:e110357. [PMID: 25310342 PMCID: PMC4195714 DOI: 10.1371/journal.pone.0110357] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2014] [Accepted: 09/22/2014] [Indexed: 01/24/2023] Open
Abstract
It has been shown that gene body DNA methylation is associated with gene expression. However, whether and how deviation of gene body DNA methylation between duplicate genes can influence their divergence remains largely unexplored. Here, we aim to elucidate the potential role of gene body DNA methylation in the fate of duplicate genes. We identified paralogous gene pairs from Arabidopsis and rice (Oryza sativa ssp. japonica) genomes and reprocessed their single-base resolution methylome data. We show that methylation in paralogous genes nonlinearly correlates with several gene properties including exon number/gene length, expression level and mutation rate. Further, we demonstrated that divergence of methylation level and pattern in paralogs indeed positively correlate with their sequence and expression divergences. This result held even after controlling for other confounding factors known to influence the divergence of paralogs. We observed that methylation level divergence might be more relevant to the expression divergence of paralogs than methylation pattern divergence. Finally, we explored the mechanisms that might give rise to the divergence of gene body methylation in paralogs. We found that exonic methylation divergence more closely correlates with expression divergence than intronic methylation divergence. We show that genomic environments (e.g., flanked by transposable elements and repetitive sequences) of paralogs generated by various duplication mechanisms are associated with the methylation divergence of paralogs. Overall, our results suggest that the changes in gene body DNA methylation could provide another avenue for duplicate genes to develop differential expression patterns and undergo different evolutionary fates in plant genomes.
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70
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Šmarda P, Bureš P, Horová L, Leitch IJ, Mucina L, Pacini E, Tichý L, Grulich V, Rotreklová O. Ecological and evolutionary significance of genomic GC content diversity in monocots. Proc Natl Acad Sci U S A 2014; 111:E4096-102. [PMID: 25225383 PMCID: PMC4191780 DOI: 10.1073/pnas.1321152111] [Citation(s) in RCA: 172] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Genomic DNA base composition (GC content) is predicted to significantly affect genome functioning and species ecology. Although several hypotheses have been put forward to address the biological impact of GC content variation in microbial and vertebrate organisms, the biological significance of GC content diversity in plants remains unclear because of a lack of sufficiently robust genomic data. Using flow cytometry, we report genomic GC contents for 239 species representing 70 of 78 monocot families and compare them with genomic characters, a suite of life history traits and climatic niche data using phylogeny-based statistics. GC content of monocots varied between 33.6% and 48.9%, with several groups exceeding the GC content known for any other vascular plant group, highlighting their unusual genome architecture and organization. GC content showed a quadratic relationship with genome size, with the decreases in GC content in larger genomes possibly being a consequence of the higher biochemical costs of GC base synthesis. Dramatic decreases in GC content were observed in species with holocentric chromosomes, whereas increased GC content was documented in species able to grow in seasonally cold and/or dry climates, possibly indicating an advantage of GC-rich DNA during cell freezing and desiccation. We also show that genomic adaptations associated with changing GC content might have played a significant role in the evolution of the Earth's contemporary biota, such as the rise of grass-dominated biomes during the mid-Tertiary. One of the major selective advantages of GC-rich DNA is hypothesized to be facilitating more complex gene regulation.
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Affiliation(s)
- Petr Šmarda
- Department of Botany and Zoology, Masaryk University, CZ-61137 Brno, Czech Republic;
| | - Petr Bureš
- Department of Botany and Zoology, Masaryk University, CZ-61137 Brno, Czech Republic
| | - Lucie Horová
- Department of Botany and Zoology, Masaryk University, CZ-61137 Brno, Czech Republic
| | - Ilia J Leitch
- Jodrell Laboratory, Royal Botanic Gardens, Kew, Surrey TW93DS, United Kingdom
| | - Ladislav Mucina
- School of Plant Biology, University of Western Australia, Perth, WA 6009, Australia; Centre for Geographic Analysis, Department of Geography and Environmental Studies, Stellenbosch University, Stellenbosch 7600, South Africa; and
| | - Ettore Pacini
- Department of Life Sciences, Siena University, 53100 Siena, Italy
| | - Lubomír Tichý
- Department of Botany and Zoology, Masaryk University, CZ-61137 Brno, Czech Republic
| | - Vít Grulich
- Department of Botany and Zoology, Masaryk University, CZ-61137 Brno, Czech Republic
| | - Olga Rotreklová
- Department of Botany and Zoology, Masaryk University, CZ-61137 Brno, Czech Republic
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71
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Genomic analyses of gynaecologic carcinosarcomas reveal frequent mutations in chromatin remodelling genes. Nat Commun 2014; 5:5006. [PMID: 25233892 PMCID: PMC4354107 DOI: 10.1038/ncomms6006] [Citation(s) in RCA: 130] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2014] [Accepted: 08/15/2014] [Indexed: 12/21/2022] Open
Abstract
Malignant mixed Müllerian tumours, also known as carcinosarcomas, are rare tumours of gynaecological origin. Here we perform whole-exome analyses of 22 tumours using massively parallel sequencing to determine the mutational landscape of this tumour type. On average, we identify 43 mutations per tumour, excluding four cases with a mutator phenotype that harboured inactivating mutations in mismatch repair genes. In addition to mutations in TP53 and KRAS, we identify genetic alterations in chromatin remodelling genes, ARID1A and ARID1B, in histone methyltransferase MLL3, in histone deacetylase modifier SPOP and in chromatin assembly factor BAZ1A, in nearly two thirds of cases. Alterations in genes with potential clinical utility are observed in more than three quarters of the cases and included members of the PI3-kinase and homologous DNA repair pathways. These findings highlight the importance of the dysregulation of chromatin remodelling in carcinosarcoma tumorigenesis and suggest new avenues for personalized therapy. Malignant mixed Müllerian tumours are a rare and aggressive gynaecological cancer with poor 5-year survival rates. Here, the authors characterize the mutational landscape of carcinosarcomas and highlight the role of chromatin remodelling dysregulation in carcinosarcoma tumorigenesis.
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72
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Roles, and establishment, maintenance and erasing of the epigenetic cytosine methylation marks in plants. J Genet 2014; 92:629-66. [PMID: 24371187 DOI: 10.1007/s12041-013-0273-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Heritable information in plants consists of genomic information in DNA sequence and epigenetic information superimposed on DNA sequence. The latter is in the form of cytosine methylation at CG, CHG and CHH elements (where H = A, T orC) and a variety of histone modifications in nucleosomes. The epialleles arising from cytosine methylation marks on the nuclear genomic loci have better heritability than the epiallelic variation due to chromatin marks. Phenotypic variation is increased manifold by epiallele comprised methylomes. Plants (angiosperms) have highly conserved genetic mechanisms to establish, maintain or erase cytosine methylation from epialleles. The methylation marks in plants fluctuate according to the cell/tissue/organ in the vegetative and reproductive phases of plant life cycle. They also change according to environment. Epialleles arise by gain or loss of cytosine methylation marks on genes. The changes occur due to the imperfection of the processes that establish and maintain the marks and on account of spontaneous and stress imposed removal of marks. Cytosine methylation pattern acquired in response to abiotic or biotic stress is often inherited over one to several subsequent generations.Cytosine methylation marks affect physiological functions of plants via their effect(s) on gene expression levels. They also repress transposable elements that are abundantly present in plant genomes. The density of their distribution along chromosome lengths affects meiotic recombination rate, while their removal increases mutation rate. Transposon activation due to loss of methylation causes rearrangements such that new gene regulatory networks arise and genes for microRNAs may originate. Cytosine methylation dynamics contribute to evolutionary changes. This review presents and discusses the available evidence on origin, removal and roles of cytosine methylation and on related processes, such as RNA directed DNA methylation, imprinting, paramutation and transgenerational memory in plants.
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73
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Kumari R, Sharma V, Sharma V, Kumar S. Pleiotropic phenotypes of the salt-tolerant and cytosine hypomethylated leafless inflorescence, evergreen dwarf and irregular leaf lamina mutants of Catharanthus roseus possessing Mendelian inheritance. J Genet 2014; 92:369-94. [PMID: 24371160 DOI: 10.1007/s12041-013-0271-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In Catharanthus roseus, three morphological cum salt-tolerant chemically induced mutants of Mendelian inheritance and their wild-type parent cv Nirmal were characterized for overall cytosine methylation at DNA repeats, expression of 119 protein coding and seven miRNA-coding genes and 50 quantitative traits. The mutants, named after their principal morphological feature(s), were leafless inflorescence (lli), evergreen dwarf (egd) and irregular leaf lamina (ill). The Southern-blot analysis of MspI digested DNAs of mutants probed with centromeric and 5S and 18S rDNA probes indicated that, in comparison to wild type, the mutants were extensively demethylated at cytosine sites. Among the 126 genes investigated for transcriptional expression, 85 were upregulated and 41 were downregulated in mutants. All of the five genes known to be stress responsive had increased expression in mutants. Several miRNA genes showed either increased or decreased expression in mutants. The C. roseus counterparts of CMT3, DRM2 and RDR2 were downregulated in mutants. Among the cell, organ and plant size, photosynthesis and metabolism related traits studied, 28 traits were similarly affected in mutants as compared to wild type. Each of the mutants also expressed some traits distinctively. The egd mutant possessed superior photosynthesis and water retention abilities. Biomass was hyperaccumulated in roots, stems, leaves and seeds of the lli mutant. The ill mutant was richest in the pharmaceutical alkaloids catharanthine, vindoline, vincristine and vinblastine. The nature of mutations, origins of mutant phenotypes and evolutionary importance of these mutants are discussed.
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Affiliation(s)
- Renu Kumari
- National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India.
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74
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Dnmt1-independent CG methylation contributes to nucleosome positioning in diverse eukaryotes. Cell 2014; 156:1286-1297. [PMID: 24630728 DOI: 10.1016/j.cell.2014.01.029] [Citation(s) in RCA: 136] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2013] [Revised: 10/25/2013] [Accepted: 01/10/2014] [Indexed: 11/24/2022]
Abstract
Dnmt1 epigenetically propagates symmetrical CG methylation in many eukaryotes. Their genomes are typically depleted of CG dinucleotides because of imperfect repair of deaminated methylcytosines. Here, we extensively survey diverse species lacking Dnmt1 and show that, surprisingly, symmetrical CG methylation is nonetheless frequently present and catalyzed by a different DNA methyltransferase family, Dnmt5. Numerous Dnmt5-containing organisms that diverged more than a billion years ago exhibit clustered methylation, specifically in nucleosome linkers. Clustered methylation occurs at unprecedented densities and directly disfavors nucleosomes, contributing to nucleosome positioning between clusters. Dense methylation is enabled by a regime of genomic sequence evolution that enriches CG dinucleotides and drives the highest CG frequencies known. Species with linker methylation have small, transcriptionally active nuclei that approach the physical limits of chromatin compaction. These features constitute a previously unappreciated genome architecture, in which dense methylation influences nucleosome positions, likely facilitating nuclear processes under extreme spatial constraints.
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75
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Kumari R, Yadav G, Sharma V, Sharma V, Kumar S. Cytosine hypomethylation at CHG and CHH sites in the pleiotropic mutants of Mendelian inheritance in Catharanthus roseus. J Genet 2013; 92:499-511. [PMID: 24371171 DOI: 10.1007/s12041-013-0300-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The 5S and 18S rDNA sequences of Catharanthus roseus cv 'Nirmal' (wild type) and its leafless inflorescence (lli), evergreen dwarf (egd) and irregular leaf lamina (ill) single mutants and lli egd, lli ill and egd ill double mutants were characterized. The lli, egd and ill mutants of Mendelian inheritance bore the names after their most conspicuous morphological feature(s). They had been chemically induced and isolated for their salt tolerance. The double mutants were isolated as morphological segregants from crosses between single mutants. The morphological features of the two parents accompanied salt tolerance in the double mutants. All the six mutants were hypomethylated at repeat sequences, upregulated and downregulated for many genes and carried pleiotropic alterations for several traits. Here the 5S and 18S rDNAs of C. roseus were found to be relatively low in cytosine content. Cytosines were preponderantly in CG context (53%) and almost all of them were methylated (97%). The cytosines in CHH and CHG (where H = A, T or C) contexts were largely demethylated (92%) in mutants. The demethylation was attributable to reduced expression of RDR2 and DRM2 led RNA dependant DNA methylation and CMT3 led maintenance methylation pathways. Mutants had gained some cytosines by substitution of C at T sites. These perhaps arose on account of errors in DNA replication, mediated by widespread cytosine demethylation at CHG and CHH sites. It was concluded that the regulation of cytosine ethylation mechanisms was disturbed in the mutants. ILL, EGD and LLI genes were identified as the positive regulators of other genes mediating the RdDM and CMT3 pathways, for establishment and maintenance of cytosine methylation in C. roseus.
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Affiliation(s)
- Renu Kumari
- Genetical Genomics Laboratory, National Institute of Plant Genome Research (NIPGR), Aruna Asaf Ali Marg, New Delhi 110 067, India.
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76
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Dunwell TL, McGuffin LJ, Dunwell JM, Pfeifer GP. The mysterious presence of a 5-methylcytosine oxidase in the Drosophila genome: possible explanations. Cell Cycle 2013; 12:3357-65. [PMID: 24091536 DOI: 10.4161/cc.26540] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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77
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Alexandrov LB, Nik-Zainal S, Wedge DC, Aparicio SA, Behjati S, Biankin AV, Bignell GR, Bolli N, Borg A, Børresen-Dale AL, Boyault S, Burkhardt B, Butler AP, Caldas C, Davies HR, Desmedt C, Eils R, Eyfjörd JE, Foekens JA, Greaves M, Hosoda F, Hutter B, Ilicic T, Imbeaud S, Imielinsk M, Jäger N, Jones DT, Jones D, Knappskog S, Kool M, Lakhani SR, López-Otín C, Martin S, Munshi NC, Nakamura H, Northcott PA, Pajic M, Papaemmanuil E, Paradiso A, Pearson JV, Puente XS, Raine K, Ramakrishna M, Richardson AL, Richter J, Rosenstiel P, Schlesner M, Schumacher TN, Span PN, Teague JW, Totoki Y, Tutt AN, Valdés-Mas R, van Buuren MM, van ’t Veer L, Vincent-Salomon A, Waddell N, Yates LR, Zucman-Rossi J, Futreal PA, McDermott U, Lichter P, Meyerson M, Grimmond SM, Siebert R, Campo E, Shibata T, Pfister SM, Campbell PJ, Stratton MR. Signatures of mutational processes in human cancer. Nature 2013; 500:415-21. [PMID: 23945592 PMCID: PMC3776390 DOI: 10.1038/nature12477] [Citation(s) in RCA: 6829] [Impact Index Per Article: 620.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2013] [Accepted: 07/19/2013] [Indexed: 02/06/2023]
Abstract
All cancers are caused by somatic mutations; however, understanding of the biological processes generating these mutations is limited. The catalogue of somatic mutations from a cancer genome bears the signatures of the mutational processes that have been operative. Here we analysed 4,938,362 mutations from 7,042 cancers and extracted more than 20 distinct mutational signatures. Some are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are confined to a single cancer class. Certain signatures are associated with age of the patient at cancer diagnosis, known mutagenic exposures or defects in DNA maintenance, but many are of cryptic origin. In addition to these genome-wide mutational signatures, hypermutation localized to small genomic regions, 'kataegis', is found in many cancer types. The results reveal the diversity of mutational processes underlying the development of cancer, with potential implications for understanding of cancer aetiology, prevention and therapy.
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Affiliation(s)
- Ludmil B. Alexandrov
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Serena Nik-Zainal
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Medical Genetics, Box 134, Addenbrooke’s Hospital NHS Trust, Hills Road, Cambridge CB2 0QQ
| | - David C. Wedge
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Samuel A.J.R. Aparicio
- Molecular Oncology, Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver V5Z 1L3, Canada
- Centre for Translational and Applied Genomics, Michael Smith Genome Sciences Centre, BC Cancer Agency, 675 West 10th Avenue, Vancouver V5Z 1L3, Canada
- Department of Pathology, University of British Columbia, G227-2211 Wesbrook Mall, British Columbia, Vancouver V6T 2B5, Canada
| | - Sam Behjati
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Paediatrics, University of Cambridge, Hills Road, Cambridge, CB2 2XY
| | - Andrew V. Biankin
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow, Scotland G61 1BD, United Kingdom
- West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, Scotland G4 0SF, United Kingdom
- The Kinghorn Cancer Centre, 370 Victoria Street, Darlinghurst, and the Cancer Research Program, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, New South Wales 2010, Australia
- Department of Surgery, Bankstown Hospital, Eldridge Road, Bankstown, Sydney, New South Wales 2200, Australia
- South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales, Liverpool, New South Wales 2170, Australia
| | - Graham R. Bignell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Niccolo Bolli
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Haematology, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 2XY, UK
| | - Ake Borg
- Department of Oncology, Lund University, SE-221 85 Lund, Sweden
| | - Anne-Lise Børresen-Dale
- Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway
- The K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Norway
| | - Sandrine Boyault
- Plateforme de Bioinformatique Synergie Lyon Cancer, Centre Léon Bérard, 28 rue Laennec, 69373 LYON CEDEX 08
| | - Birgit Burkhardt
- NHL-BFM Study Center and Department of Pediatric Hematology and Oncology, University Children’s Hospital, Münster, Germany
- NHL-BFM Study Center and Department of Pediatric Hematology and Oncology, University Children’s Hospital, Giessen, Germany
| | - Adam P. Butler
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Cambridge CB2 0RE
| | - Helen R. Davies
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Christine Desmedt
- Breast Cancer Translational Res Lab - BCTL, Université Libre de Bruxelles - Institut Jules Bordet, Boulevard de Waterloo, 125, B-1000 Brussels
| | - Roland Eils
- Department of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Jórunn Erla Eyfjörd
- Cancer Research Laboratory, Faculty of Medicine, Biomedical Centre, University of Iceland, 101 Reykjavik, Iceland
| | - John A. Foekens
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Mel Greaves
- Department of Haemato-oncology, Institute of Cancer Research, London
| | - Fumie Hosoda
- Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Tokyo, 104-0045, Japan
| | - Barbara Hutter
- Department of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Tomislav Ilicic
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Sandrine Imbeaud
- INSERM, UMR-674, Génomique Fonctionnelle des Tumeurs Solides, Institut Universitaire d’Hematologie (IUH), Paris, France
- Université Paris Descartes, Labex Immuno-oncology, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Marcin Imielinsk
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Natalie Jäger
- Department of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany
| | - David T.W. Jones
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David Jones
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Stian Knappskog
- Section of Oncology, Department of Clinical Science, University of Bergen, 5020 Bergen, Norway
- Department of Oncology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Marcel Kool
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sunil R. Lakhani
- The University of Queensland Centre for Clinical Research, School of Medicine and Pathology Queensland, The Royal Brisbane & Women’s Hospital, Herston 4029,Brisbane, QLD, Australia
| | - Carlos López-Otín
- Dpt. Bioquímica y Biología Molecular, IUOPA-Universidad de Oviedo, 33006 Oviedo, Spain
| | - Sancha Martin
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Nikhil C. Munshi
- Jerome Lipper Multiple Myeloma Disease Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Boston Veterans Administration Healthcare System, West Roxbury, MA
| | - Hiromi Nakamura
- Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Tokyo, 104-0045, Japan
| | - Paul A. Northcott
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marina Pajic
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow, Scotland G61 1BD, United Kingdom
| | - Elli Papaemmanuil
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Angelo Paradiso
- Clinical Experimental Oncology Laboratory, National Cancer Institute, Via Amendola, 209, 70126, Bari, Italy
| | - John V. Pearson
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Xose S. Puente
- Dpt. Bioquímica y Biología Molecular, IUOPA-Universidad de Oviedo, 33006 Oviedo, Spain
| | - Keiran Raine
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Manasa Ramakrishna
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Andrea L. Richardson
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Pathology, Brigham and Women’s Hospital 75 Francis St. Boston, MA 02115, USA
| | - Julia Richter
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology, Christian-Albrechts-University,Kiel, Germany
| | - Matthias Schlesner
- Department of Theoretical Bioinformatics (B080), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, Heidelberg, Germany
| | - Ton N. Schumacher
- Division of Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Paul N. Span
- Department of Radiation Oncology and department of Laboratory Medicine, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500HB Nijmegen,the Netherlands
| | - Jon W. Teague
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Yasushi Totoki
- Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Tokyo, 104-0045, Japan
| | - Andrew N.J. Tutt
- Breakthrough Breast Cancer Research Unit, King’s College London School of Medicine, London, UK
| | - Rafael Valdés-Mas
- Dpt. Bioquímica y Biología Molecular, IUOPA-Universidad de Oviedo, 33006 Oviedo, Spain
| | - Marit M. van Buuren
- Division of Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Laura van ’t Veer
- The Netherlands Cancer Institute, 121 Plesmanlaan, 1066 CX Amsterdam, The Netherlands
| | - Anne Vincent-Salomon
- Institut Curie , Departement de Pathologie, INSERM U830, 26 rue d’Ulm 75248 PARIS CEDEX 05, France
| | - Nicola Waddell
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Lucy R. Yates
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | | | | | | | | | - Jessica Zucman-Rossi
- INSERM, UMR-674, Génomique Fonctionnelle des Tumeurs Solides, Institut Universitaire d’Hematologie (IUH), Paris, France
- Université Paris Descartes, Labex Immuno-oncology, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - P. Andrew Futreal
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Ultan McDermott
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
| | - Peter Lichter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthew Meyerson
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, MA 02215, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Sean M. Grimmond
- Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia
| | - Reiner Siebert
- Institute of Human Genetics, Christian-Albrechts-University, Kiel, Germany
| | - Elías Campo
- Unidad de Hematopatología, Servicio de Anatomía Patológica, Hospital Clínic, Universitat de Barcelona, IDIBAPS, 08036 Barcelona, Spain
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Center Research Institute, Chuo-ku, Tokyo, 104-0045, Japan
| | - Stefan M. Pfister
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Pediatric Hematology and Oncology, Heidelberg
| | - Peter J. Campbell
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
- Department of Haematology, Addenbrooke’s Hospital, Cambridge CB2 0QQ, UK
- Department of Haematology, University of Cambridge, Cambridge CB2 2XY, UK
| | - Michael R. Stratton
- Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, CB10 1SA
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78
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Sánchez J. Sequences encoding identical peptides for the analysis and manipulation of coding DNA. Bioinformation 2013; 9:511-7. [PMID: 23861567 PMCID: PMC3705626 DOI: 10.6026/97320630009511] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Accepted: 05/19/2013] [Indexed: 02/08/2023] Open
Abstract
The use of sequences encoding identical peptides (SEIP) for the in silico analysis of
coding DNA from different species has not been reported; the study of such sequences could directly
reveal properties of coding DNA that are independent of peptide sequences. For practical purposes
SEIP might also be manipulated for e.g. heterologous protein expression. We extracted 1,551 SEIP
from human and E. coli and 2,631 SEIP from human and D. melanogaster. We then analyzed codon usage
and intercodon dinucleotide tendencies and found differences in both, with more conspicuous
disparities between human and E. coli than between human and D. melanogaster. We also briefly
manipulated SEIP to find out if they could be used to create new coding sequences. We hence attempted
replacement of human by E. coli codons via dicodon exchange but found that full replacement was
not possible, this indicated robust species-specific dicodon tendencies. To test another form of
codon replacement we isolated SEIP from human and the jellyfish green fluorescent protein (GFP) and
we then re-constructed the GFP coding DNA with human tetra-peptide-coding sequences. Results provide
proof-of-principle that SEIP may be used to reveal differences in the properties of coding DNA and
to reconstruct in pieces a protein coding DNA with sequences from a different organism, the latter
might be exploited in heterologous protein expression.
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Affiliation(s)
- Joaquín Sánchez
- Facultad de Medicina, UAEM, Calle Ixtaccihuatl Esq Leñeros, Col. Los Volcanes C.P. 62350, Cuernavaca, Morelos, Mexico
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79
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Varga RE, Schüle R, Fadel H, Valenzuela I, Speziani F, Gonzalez M, Rudenskaia G, Nürnberg G, Thiele H, Altmüller J, Alvarez V, Gamez J, Garbern JY, Nürnberg P, Zuchner S, Beetz C. Do not trust the pedigree: reduced and sex-dependent penetrance at a novel mutation hotspot in ATL1 blurs autosomal dominant inheritance of spastic paraplegia. Hum Mutat 2013; 34:860-3. [PMID: 23483706 DOI: 10.1002/humu.22309] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Accepted: 02/28/2013] [Indexed: 01/23/2023]
Abstract
The hereditary spastic paraplegias (HSPs), a group of neurodegenerative movement disorders, are among the genetically most heterogeneous clinical conditions. Still, the more than 50 forms known so far apparently explain less than 80% of cases. The present study identified two large HSP families, which seemed to show an autosomal recessive and an X-linked inheritance pattern. A set of genetic analyses including exome sequencing revealed plausible mutations only when assuming incomplete/sex-dependent penetrance of adjacent alterations in the autosomal dominant HSP gene ATL1 (c.1243C>T and c.1244G>A, respectively). By screening of additional HSP patients for the presence of these alterations, we identified three more cases and obtained additional evidence for reduced penetrance. Bisulfate sequencing and haplotype analysis indicated that c.1243C and c.1244G constitute a mutational hotspot. Our findings suggest that misinterpretation of inheritance patterns and, consequently, misselection of candidate genes to be screened in gene-focused approaches contribute to the apparently missing heritability in HSP and, potentially, in other genetically heterogeneous disorders.
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Affiliation(s)
- Rita-Eva Varga
- Department of Clinical Chemistry, Jena University Hospital, Jena, Germany
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80
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The methylation of C/EBP β gene promoter and regulated by GATA-2 protein. Mol Biol Rep 2012; 40:797-801. [PMID: 23065276 DOI: 10.1007/s11033-012-2117-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2012] [Accepted: 10/03/2012] [Indexed: 10/27/2022]
Abstract
Mammalian genomes are punctuated by DNA sequences containing an atypically high frequency of CpG sites (CpG islands; CGIs) that are associated with the majority of annotated gene promoters. Methylated C bases of CpG sites inhibit the expression of downstream genes. During the differentiation of 3T3-L1 preadipocytes, the CCAAT/enhancer-binding protein (C/EBP) β gene plays an important role. We studied the CpG island methylation status of the C/EBP β promoter and its relationship with the GATA-2 protein. We used computer analysis to determine that the C/EBP β promoter sequence is rich in CGIs, and observed that two of seven methylated C bases were demethylated during the preadipocyte differentiation using bisulfite sequencing PCR (BSP). This corresponded with the onset of notable C/EBP β gene expression. Immunofluorescence and molecular docking showed that the GATA-2 protein binds the C/EBP β promoter in front of the first demethylated CpG site. We also found that expression of GATA-2 and C/EBP β proteins is negatively correlated. These results indicate that the methylated C bases in the C/EBP β promoter relate to expression of the C/EBP β gene, and that its demethylation is linked with GATA-2 protein association.
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81
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Welch JS, Ley TJ, Link DC, Miller CA, Larson DE, Koboldt DC, Wartman LD, Lamprecht TL, Liu F, Xia J, Kandoth C, Fulton RS, McLellan MD, Dooling DJ, Wallis JW, Chen K, Harris CC, Schmidt HK, Kalicki-Veizer JM, Lu C, Zhang Q, Lin L, O'Laughlin MD, McMichael JF, Delehaunty KD, Fulton LA, Magrini VJ, McGrath SD, Demeter RT, Vickery TL, Hundal J, Cook LL, Swift GW, Reed JP, Alldredge PA, Wylie TN, Walker JR, Watson MA, Heath SE, Shannon WD, Varghese N, Nagarajan R, Payton JE, Baty JD, Kulkarni S, Klco JM, Tomasson MH, Westervelt P, Walter MJ, Graubert TA, DiPersio JF, Ding L, Mardis ER, Wilson RK. The origin and evolution of mutations in acute myeloid leukemia. Cell 2012; 150:264-78. [PMID: 22817890 DOI: 10.1016/j.cell.2012.06.023] [Citation(s) in RCA: 1192] [Impact Index Per Article: 99.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2011] [Revised: 04/27/2012] [Accepted: 06/24/2012] [Indexed: 10/28/2022]
Abstract
Most mutations in cancer genomes are thought to be acquired after the initiating event, which may cause genomic instability and drive clonal evolution. However, for acute myeloid leukemia (AML), normal karyotypes are common, and genomic instability is unusual. To better understand clonal evolution in AML, we sequenced the genomes of M3-AML samples with a known initiating event (PML-RARA) versus the genomes of normal karyotype M1-AML samples and the exomes of hematopoietic stem/progenitor cells (HSPCs) from healthy people. Collectively, the data suggest that most of the mutations found in AML genomes are actually random events that occurred in HSPCs before they acquired the initiating mutation; the mutational history of that cell is "captured" as the clone expands. In many cases, only one or two additional, cooperating mutations are needed to generate the malignant founding clone. Cells from the founding clone can acquire additional cooperating mutations, yielding subclones that can contribute to disease progression and/or relapse.
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Affiliation(s)
- John S Welch
- Department of Medicine, Washington University, St. Louis, MO 63110, USA
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82
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Labrie V, Pai S, Petronis A. Epigenetics of major psychosis: progress, problems and perspectives. Trends Genet 2012; 28:427-35. [PMID: 22622229 PMCID: PMC3422438 DOI: 10.1016/j.tig.2012.04.002] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2012] [Revised: 04/03/2012] [Accepted: 04/23/2012] [Indexed: 01/26/2023]
Abstract
Understanding the origins of normal and pathological behavior is one of the most exciting opportunities in contemporary biomedical research. There is increasing evidence that, in addition to DNA sequence and the environment, epigenetic modifications of DNA and histone proteins may contribute to complex phenotypes. Inherited and/or acquired epigenetic factors are partially stable and have regulatory roles in numerous genomic activities, thus making epigenetics a promising research path in etiological studies of psychiatric disease. In this article, we review recent epigenetic studies examining the brain and other tissues, including those from individuals with schizophrenia (SCZ) and bipolar disorder (BPD). We also highlight heuristic aspects of the epigenetic theory of psychiatric disease and discuss the future directions of psychiatric epigenetics.
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Affiliation(s)
- Viviane Labrie
- The Krembil Family Epigenetics Laboratory, Centre for Addiction and Mental Health, 250 College Street, Toronto, ONT, M5T 1R8, Canada
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83
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Bateson P, Gluckman P. Plasticity and robustness in development and evolution. Int J Epidemiol 2012; 41:219-23. [PMID: 22422456 DOI: 10.1093/ije/dyr240] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Affiliation(s)
- Patrick Bateson
- Sub-Department of Animal Behaviour, University of Cambridge, Cambridge, UK.
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84
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Feuerbach L, Halachev K, Assenov Y, Müller F, Bock C, Lengauer T. Analyzing epigenome data in context of genome evolution and human diseases. Methods Mol Biol 2012; 856:431-67. [PMID: 22399470 DOI: 10.1007/978-1-61779-585-5_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
This chapter describes bioinformatic tools for analyzing epigenome differences between species and in diseased versus normal cells. We illustrate the interplay of several Web-based tools in a case study of CpG island evolution between human and mouse. Starting from a list of orthologous genes, we use the Galaxy Web service to obtain gene coordinates for both species. These data are further analyzed in EpiGRAPH, a Web-based tool that identifies statistically significant epigenetic differences between genome region sets. Finally, we outline how the use of the statistical programming language R enables deeper insights into the epigenetics of human diseases, which are difficult to obtain without writing custom scripts. In summary, our tutorial describes how Web-based tools provide an easy entry into epigenome data analysis while also highlighting the benefits of learning a scripting language in order to unlock the vast potential of public epigenome datasets.
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85
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Joseph J, Schuster GB. Oxidatively generated damage to DNA at 5-methylcytosine mispairs. Photochem Photobiol Sci 2012; 11:998-1003. [PMID: 22327601 DOI: 10.1039/c2pp05379a] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Oxidatively generated damage to DNA has been implicated as causing mutations that lead to aging and disease. The one-electron oxidation of normal DNA leads to formation of a nucleobase radical cation that hops through the DNA until it is trapped irreversibly, primarily by reaction at guanine. It has been observed that 5-methylcytosine (C(m)) is a mutational "hot-spot". However, C(m) in a Watson-Crick base pair with G is not especially susceptible to oxidatively induced damage. Radical cation hopping is inhibited in duplexes that contain C-A or C-T mispairs, but no reaction is detected at cytosine. In contrast, we find that the one-electron oxidation of DNA that contains C(m)-A or C(m)-T mispairs results primarily in reaction at C(m) even in the presence of GG steps. The reaction at C(m) is attributed to proton coupled electron transfer, which provides a relatively low activation barrier path for reaction at 5-methylcytosine. This enhanced reactivity of C(m) in mispairs may contribute to the formation of mutational hot spots at C(m).
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Affiliation(s)
- Joshy Joseph
- School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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86
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87
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Strnad P, Usachov V, Debes C, Gräter F, Parry DAD, Omary MB. Unique amino acid signatures that are evolutionarily conserved distinguish simple-type, epidermal and hair keratins. J Cell Sci 2012; 124:4221-32. [PMID: 22215855 DOI: 10.1242/jcs.089516] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Keratins (Ks) consist of central α-helical rod domains that are flanked by non-α-helical head and tail domains. The cellular abundance of keratins, coupled with their selective cell expression patterns, suggests that they diversified to fulfill tissue-specific functions although the primary structure differences between them have not been comprehensively compared. We analyzed keratin sequences from many species: K1, K2, K5, K9, K10, K14 were studied as representatives of epidermal keratins, and compared with K7, K8, K18, K19, K20 and K31, K35, K81, K85, K86, which represent simple-type (single-layered or glandular) epithelial and hair keratins, respectively. We show that keratin domains have striking differences in their amino acids. There are many cysteines in hair keratins but only a small number in epidermal keratins and rare or none in simple-type keratins. The heads and/or tails of epidermal keratins are glycine and phenylalanine rich but alanine poor, whereas parallel domains of hair keratins are abundant in prolines, and those of simple-type epithelial keratins are enriched in acidic and/or basic residues. The observed differences between simple-type, epidermal and hair keratins are highly conserved throughout evolution. Cysteines and histidines, which are infrequent keratin amino acids, are involved in de novo mutations that are markedly overrepresented in keratins. Hence, keratins have evolutionarily conserved and domain-selectively enriched amino acids including glycine and phenylalanine (epidermal), cysteine and proline (hair), and basic and acidic (simple-type epithelial), which reflect unique functions related to structural flexibility, rigidity and solubility, respectively. Our findings also support the importance of human keratin 'mutation hotspot' residues and their wild-type counterparts.
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Affiliation(s)
- Pavel Strnad
- Department of Internal Medicine I, Center for Internal Medicine, University Medical Center Ulm, Albert-Einstein-Allee 23, D-89081 Ulm, Germany.
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88
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The impact of the organism on its descendants. GENETICS RESEARCH INTERNATIONAL 2011; 2012:640612. [PMID: 22567396 PMCID: PMC3335618 DOI: 10.1155/2012/640612] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/07/2011] [Revised: 09/30/2011] [Accepted: 10/24/2011] [Indexed: 11/18/2022]
Abstract
Historically, evolutionary biologists have taken the view that an understanding of development is irrelevant to theories of evolution. However, the integration of several disciplines in recent years suggests that this position is wrong. The capacity of the organism to adapt to challenges from the environment can set up conditions that affect the subsequent evolution of its descendants. Moreover, molecular events arising from epigenetic processes can be transmitted from one generation to the next and influence genetic mutation. This in turn can facilitate evolution in the conditions in which epigenetic change was first initiated.
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89
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Cooper DN, Bacolla A, Férec C, Vasquez KM, Kehrer-Sawatzki H, Chen JM. On the sequence-directed nature of human gene mutation: the role of genomic architecture and the local DNA sequence environment in mediating gene mutations underlying human inherited disease. Hum Mutat 2011; 32:1075-99. [PMID: 21853507 PMCID: PMC3177966 DOI: 10.1002/humu.21557] [Citation(s) in RCA: 94] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2011] [Accepted: 06/17/2011] [Indexed: 12/21/2022]
Abstract
Different types of human gene mutation may vary in size, from structural variants (SVs) to single base-pair substitutions, but what they all have in common is that their nature, size and location are often determined either by specific characteristics of the local DNA sequence environment or by higher order features of the genomic architecture. The human genome is now recognized to contain "pervasive architectural flaws" in that certain DNA sequences are inherently mutation prone by virtue of their base composition, sequence repetitivity and/or epigenetic modification. Here, we explore how the nature, location and frequency of different types of mutation causing inherited disease are shaped in large part, and often in remarkably predictable ways, by the local DNA sequence environment. The mutability of a given gene or genomic region may also be influenced indirectly by a variety of noncanonical (non-B) secondary structures whose formation is facilitated by the underlying DNA sequence. Since these non-B DNA structures can interfere with subsequent DNA replication and repair and may serve to increase mutation frequencies in generalized fashion (i.e., both in the context of subtle mutations and SVs), they have the potential to serve as a unifying concept in studies of mutational mechanisms underlying human inherited disease.
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Affiliation(s)
- David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
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90
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Takuno S, Gaut BS. Body-Methylated Genes in Arabidopsis thaliana Are Functionally Important and Evolve Slowly. Mol Biol Evol 2011; 29:219-27. [DOI: 10.1093/molbev/msr188] [Citation(s) in RCA: 166] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
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91
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Pfeifer GP, Besaratinia A. UV wavelength-dependent DNA damage and human non-melanoma and melanoma skin cancer. Photochem Photobiol Sci 2011; 11:90-7. [PMID: 21804977 DOI: 10.1039/c1pp05144j] [Citation(s) in RCA: 272] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Ultraviolet (UV) irradiation from the sun has been epidemiologically and mechanistically linked to skin cancer, a spectrum of diseases of rising incidence in many human populations. Both non-melanoma and melanoma skin cancers are associated with sunlight exposure. In this review, we discuss the UV wavelength-dependent formation of the major UV-induced DNA damage products, their repair and mutagenicity and their potential involvement in sunlight-associated skin cancers. We emphasize the major role played by the cyclobutane pyrimidine dimers (CPDs) in skin cancer mutations relative to that of (6-4) photoproducts and oxidative DNA damage. Collectively, the data implicate the CPD as the DNA lesion most strongly involved in human cancers induced by sunlight.
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Affiliation(s)
- Gerd P Pfeifer
- Department of Cancer Biology, Beckman Research Institute of the City of Hope, Duarte, CA 91010, USA.
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92
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Sánchez J. 3-base periodicity in coding DNA is affected by intercodon dinucleotides. Bioinformation 2011; 6:327-9. [PMID: 21814388 PMCID: PMC3143393 DOI: 10.6026/97320630006327] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2011] [Accepted: 07/12/2011] [Indexed: 01/29/2023] Open
Abstract
All coding DNAs exhibit 3-base periodicity (TBP), which may be defined as the tendency of nucleotides and higher order n-tuples, e.g. trinucleotides (triplets), to be preferentially spaced by 3, 6, 9 etc, bases, and we have proposed an association between TBP and clustering of same-phase triplets. We here investigated if TBP was affected by intercodon dinucleotide tendencies and whether clustering of same-phase triplets was involved. Under constant protein sequence intercodon dinucleotide frequencies depend on the distribution of synonymous codons. So, possible effects were revealed by randomly exchanging synonymous codons without altering protein sequences to subsequently document changes in TBP via frequency distribution of distances (FDD) of DNA triplets. A tripartite positive correlation was found between intercodon dinucleotide frequencies, clustering of same-phase triplets and TBP. So, intercodon C|A (where "|" indicates the boundary between codons) was more frequent in native human DNA than in the codon-shuffled sequences; higher C|A frequency occurred along with more frequent clustering of C|AN triplets (where N jointly represents A, C, G and T) and with intense CAN TBP. The opposite was found for C|G, which was less frequent in native than in shuffled sequences; lower C|G frequency occurred together with reduced clustering of C|GN triplets and with less intense CGN TBP. We hence propose that intercodon dinucleotides affect TBP via same-phase triplet clustering. A possible biological relevance of our findings is briefly discussed.
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Affiliation(s)
- Joaquín Sánchez
- Facultad de Medicina, Universidad Autónoma del Estado de Morelos, Cuernavaca, 62020 México
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93
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DNA methylation regulates phenotype-dependent transcriptional activity in Candida albicans. Proc Natl Acad Sci U S A 2011; 108:11965-70. [PMID: 21730141 DOI: 10.1073/pnas.1109631108] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
DNA methylation is a common epigenetic signaling mechanism associated with silencing of repeated DNA and transcriptional regulation in eukaryotes. Here we report that DNA methylation in the human fungal pathogen Candida albicans is primarily localized within structural genes and modulates transcriptional activity. Major repeat sequences and multigene families are largely free of DNA methylation. Among the genes subject to DNA methylation are those associated with dimorphic transition between yeast and hyphal forms, switching between white and opaque cells, and iron metabolism. Transcriptionally repressed methylated loci showed increased frequency of C-to-T transitions during asexual growth, an evolutionarily stable pattern of repression associated mutation that could bring about genetic alterations under changing environmental or host conditions. Dynamic differential DNA methylation of structural genes may be one factor contributing to morphological plasticity that is cued by nutrition and host interaction.
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94
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Abstract
'Every Hour Hurts, The Last One Kills'. That is an old saying about getting old. Every day, thousands of DNA damaging events take place in each cell of our body, but efficient DNA repair systems have evolved to prevent that. However, our DNA repair system and that of most other organisms are not as perfect as that of Deinococcus radiodurans, for example, which is able to repair massive amounts of DNA damage at one time. In many instances, accumulation of DNA damage has been linked to cancer, and genetic deficiencies in specific DNA repair genes are associated with tumor-prone phenotypes. In addition to mutations, which can be either inherited or somatically acquired, epigenetic silencing of DNA repair genes may promote tumorigenesis. This review will summarize current knowledge of the epigenetic inactivation of different DNA repair components in human cancer.
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Affiliation(s)
- Christoph Lahtz
- Department of Cancer Biology, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
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95
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Shrestha B, Reed JM, Starks PT, Kaufman GE, Goldstone JV, Roelke ME, O'Brien SJ, Koepfli KP, Frank LG, Court MH. Evolution of a major drug metabolizing enzyme defect in the domestic cat and other felidae: phylogenetic timing and the role of hypercarnivory. PLoS One 2011; 6:e18046. [PMID: 21464924 PMCID: PMC3065456 DOI: 10.1371/journal.pone.0018046] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2010] [Accepted: 02/18/2011] [Indexed: 11/18/2022] Open
Abstract
The domestic cat (Felis catus) shows remarkable sensitivity to
the adverse effects of phenolic drugs, including acetaminophen and aspirin, as
well as structurally-related toxicants found in the diet and environment. This
idiosyncrasy results from pseudogenization of the gene encoding
UDP-glucuronosyltransferase (UGT) 1A6, the major species-conserved phenol
detoxification enzyme. Here, we established the phylogenetic timing of
disruptive UGT1A6 mutations and explored the hypothesis that
gene inactivation in cats was enabled by minimal exposure to plant-derived
toxicants. Fixation of the UGT1A6 pseudogene was estimated to
have occurred between 35 and 11 million years ago with all extant Felidae having
dysfunctional UGT1A6. Out of 22 additional taxa sampled,
representative of most Carnivora families, only brown hyena (Parahyaena
brunnea) and northern elephant seal (Mirounga
angustirostris) showed inactivating UGT1A6
mutations. A comprehensive literature review of the natural diet of the sampled
taxa indicated that all species with defective UGT1A6 were
hypercarnivores (>70% dietary animal matter). Furthermore those
species with UGT1A6 defects showed evidence for reduced amino
acid constraint (increased dN/dS ratios approaching the neutral
selection value of 1.0) as compared with species with intact
UGT1A6. In contrast, there was no evidence for reduced
amino acid constraint for these same species within UGT1A1, the
gene encoding the enzyme responsible for detoxification of endogenously
generated bilirubin. Our results provide the first evidence suggesting that diet
may have played a permissive role in the devolution of a mammalian drug
metabolizing enzyme. Further work is needed to establish whether these
preliminary findings can be generalized to all Carnivora.
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Affiliation(s)
- Binu Shrestha
- Comparative and Molecular Pharmacogenomics Laboratory, Department of
Molecular Physiology and Pharmacology, Tufts University School of Medicine,
Boston, Massachusetts, United States of America
- Department of Biology, Tufts University, Medford, Massachusetts, United
States of America
| | - J. Michael Reed
- Department of Biology, Tufts University, Medford, Massachusetts, United
States of America
| | - Philip T. Starks
- Department of Biology, Tufts University, Medford, Massachusetts, United
States of America
| | - Gretchen E. Kaufman
- Department of Environmental and Population Health, Tufts Cummings School
of Veterinary Medicine, North Grafton, Massachusetts, United States of
America
| | - Jared V. Goldstone
- Biology Department, Woods Hole Oceanographic Institution, Woods Hole,
Massachusetts, United States of America
| | - Melody E. Roelke
- Laboratory of Genomic Diversity, SAIC-Frederick Incorporated, National
Cancer Institute at Frederick, Frederick, Maryland, United States of
America
| | - Stephen J. O'Brien
- Laboratory of Genomic Diversity, National Cancer Institute at Frederick,
Frederick, Maryland, United States of America
| | - Klaus-Peter Koepfli
- Laboratory of Genomic Diversity, National Cancer Institute at Frederick,
Frederick, Maryland, United States of America
| | - Laurence G. Frank
- Living with Lions Project (Kenya), Museum of Vertebrate Zoology,
University of California, Berkeley, California, United States of
America
| | - Michael H. Court
- Comparative and Molecular Pharmacogenomics Laboratory, Department of
Molecular Physiology and Pharmacology, Tufts University School of Medicine,
Boston, Massachusetts, United States of America
- * E-mail:
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96
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Methylation-mediated deamination of 5-methylcytosine appears to give rise to mutations causing human inherited disease in CpNpG trinucleotides, as well as in CpG dinucleotides. Hum Genomics 2011; 4:406-10. [PMID: 20846930 PMCID: PMC3525222 DOI: 10.1186/1479-7364-4-6-406] [Citation(s) in RCA: 92] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
The cytosine-guanine (CpG) dinucleotide has long been known to be a hotspot for pathological mutation in the human genome. This hypermutability is related to its role as the major site of cytosine methylation with the attendant risk of spontaneous deamination of 5-methylcytosine (5mC) to yield thymine. Cytosine methylation, however, also occurs in the context of CpNpG sites in the human genome, an unsurprising finding since the intrinsic symmetry of CpNpG renders it capable of supporting a semi-conservative model of replication of the methylation pattern. Recently, it has become clear that significant DNA methylation occurs in a CpHpG context (where H = A, C or T) in a variety of human somatic tissues. If we assume that CpHpG methylation also occurs in the germline, and that 5mC deamination can occur within a CpHpG context, then we might surmise that methylated CpHpG sites could also constitute mutation hotspots causing human genetic disease. To test this postulate, 54,625 missense and nonsense mutations from 2,113 genes causing inherited disease were retrieved from the Human Gene Mutation Database (http://www.hgmd.org). Some 18.2 per cent of these pathological lesions were found to be C → T and G → A transitions located in CpG dinucleotides (compatible with a model of methylation-mediated deamination of 5mC), an approximately ten-fold higher proportion than would have been expected by chance alone. The corresponding proportion for the CpHpG trinucleotide was 9.9 per cent, an approximately two-fold higher proportion than would have been expected by chance. We therefore estimate that ∼5 per cent of missense/nonsense mutations causing human inherited disease may be attributable to methylation-mediated deamination of 5mC within a CpHpG context.
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97
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Ortiz-Cuaran S, Hainaut P. Molecular Signatures of Environmental Mutagens in Hepatocellular Carcinoma. Genes Environ 2011. [DOI: 10.3123/jemsge.33.141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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98
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Chan SW, Dedon PC. The biological and metabolic fates of endogenous DNA damage products. J Nucleic Acids 2010; 2010:929047. [PMID: 21209721 PMCID: PMC3010698 DOI: 10.4061/2010/929047] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2010] [Accepted: 10/31/2010] [Indexed: 12/12/2022] Open
Abstract
DNA and other biomolecules are subjected to damaging chemical reactions during normal physiological processes and in states of pathophysiology caused by endogenous and exogenous mechanisms. In DNA, this damage affects both the nucleobases and 2-deoxyribose, with a host of damage products that reflect the local chemical pathology such as oxidative stress and inflammation. These damaged molecules represent a potential source of biomarkers for defining mechanisms of pathology, quantifying the risk of human disease and studying interindividual variations in cellular repair pathways. Toward the goal of developing biomarkers, significant effort has been made to detect and quantify damage biomolecules in clinically accessible compartments such as blood and and urine. However, there has been little effort to define the biotransformational fate of damaged biomolecules as they move from the site of formation to excretion in clinically accessible compartments. This paper highlights examples of this important problem with DNA damage products.
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Affiliation(s)
- Simon Wan Chan
- Department of Biological Engineering, Massachusetts Institute of Technology, NE47-277, Cambridge, MA 02139, USA
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99
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Hutter B, Bieg M, Helms V, Paulsen M. Imprinted genes show unique patterns of sequence conservation. BMC Genomics 2010; 11:649. [PMID: 21092170 PMCID: PMC3091771 DOI: 10.1186/1471-2164-11-649] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2010] [Accepted: 11/22/2010] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genomic imprinting is an evolutionary conserved mechanism of epigenetic gene regulation in placental mammals that results in silencing of one of the parental alleles. In order to decipher interactions between allele-specific DNA methylation of imprinted genes and evolutionary conservation, we performed a genome-wide comparative investigation of genomic sequences and highly conserved elements of imprinted genes in human and mouse. RESULTS Evolutionarily conserved elements in imprinted regions differ from those associated with autosomal genes in various ways. Whereas for maternally expressed genes strong divergence of protein-encoding sequences is most prominent, paternally expressed genes exhibit substantial conservation of coding and noncoding sequences. Conserved elements in imprinted regions are marked by enrichment of CpG dinucleotides and low (TpG+CpA)/(2·CpG) ratios indicate reduced CpG deamination. Interestingly, paternally and maternally expressed genes can be distinguished by differences in G+C and CpG contents that might be associated with unusual epigenetic features. Especially noncoding conserved elements of paternally expressed genes are exceptionally G+C and CpG rich. In addition, we confirmed a frequent occurrence of intronic CpG islands and observed a decelerated degeneration of ancient LINE-1 repeats. We also found a moderate enrichment of YY1 and CTCF binding sites in imprinted regions and identified several short sequence motifs in highly conserved elements that might act as additional regulatory elements. CONCLUSIONS We discovered several novel conserved DNA features that might be related to allele-specific DNA methylation. Our results hint at reduced CpG deamination rates in imprinted regions, which affects mostly noncoding conserved elements of paternally expressed genes. Pronounced differences between maternally and paternally expressed genes imply specific modes of evolution as a result of differences in epigenetic features and a special response to selective pressure. In addition, our data support the potential role of intronic CpG islands as epigenetic key regulatory elements and suggest that evolutionary conserved LINE-1 elements fulfill regulatory functions in imprinted regions.
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Affiliation(s)
- Barbara Hutter
- Lehrstuhl für Computational Biology, Universität des Saarlandes, Postfach 151150, D-66041 Saarbrücken, Germany
- Theoretische Bioinformatik (B080), Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany
| | - Matthias Bieg
- Lehrstuhl für Computational Biology, Universität des Saarlandes, Postfach 151150, D-66041 Saarbrücken, Germany
| | - Volkhard Helms
- Lehrstuhl für Computational Biology, Universität des Saarlandes, Postfach 151150, D-66041 Saarbrücken, Germany
| | - Martina Paulsen
- Lehrstuhl für Genetik/Epigenetik, Universität des Saarlandes, Postfach 151150, D-66041 Saarbrücken, Germany
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100
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Nakken S, Rødland EA, Hovig E. Impact of DNA physical properties on local sequence bias of human mutation. Hum Mutat 2010; 31:1316-25. [PMID: 20886615 DOI: 10.1002/humu.21371] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2010] [Accepted: 08/31/2010] [Indexed: 01/07/2023]
Abstract
In selectively neutral regions of the human genome, nucleotide substitutions do not occur at random with respect to the local DNA sequence neighborhood. However, apart from the hypermutability of methylated CpG dinucleotides, which can explain the overrepresentation of nucleotide transitions in this context, the sequence-specific factors underlying point mutation bias remain largely to be determined, both in nature and in quantitative impact. One hypothesis suggests that the physical characteristics of a DNA context could have a modulating effect on its mutability, adjusting the impact of damage or the efficiency of repair. Here, we report a genome-wide computational test of this hypothesis, in which we utilize a constrained set of human non-CpG SNPs as the source of selectively neutral germline mutations. Interestingly, we observe that the quantitative context-dependencies of some substitution types display significant associations to measures of local structural topography and helix stability in DNA. Most prominently, we find that the local sequence bias of transition mutations is significantly associated with the sequence-dependent level of helix instability imposed by the potentially underlying DNA mismatches. The results of our work indicate the extent to which DNA physical properties could have shaped the recent point mutational spectrum in the human genome.
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Affiliation(s)
- Sigve Nakken
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Norwegian Radium Hospital, Norway
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