CpG Island Methylation in Human Lymphocytes Is Highly Correlated with DNA Sequence, Repeats, and Predicted DNA Structure
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{"title"=>"CpG island methylation in human lymphocytes is highly correlated with DNA sequence, repeats, and predicted DNA structure", "type"=>"journal", "authors"=>[{"first_name"=>"Christoph", "last_name"=>"Bock", "scopus_author_id"=>"9238225100"}, {"first_name"=>"Martina", "last_name"=>"Paulsen", "scopus_author_id"=>"7005330886"}, {"first_name"=>"Sascha", "last_name"=>"Tierling", "scopus_author_id"=>"6504152321"}, {"first_name"=>"Thomas", "last_name"=>"Mikeska", "scopus_author_id"=>"16507474000"}, {"first_name"=>"Thomas", "last_name"=>"Lengauer", "scopus_author_id"=>"7006169152"}, {"first_name"=>"Jörn", "last_name"=>"Walter", "scopus_author_id"=>"7403076605"}], "year"=>2006, "source"=>"PLoS Genetics", "identifiers"=>{"sgr"=>"33645777446", "doi"=>"10.1371/journal.pgen.0020026", "pui"=>"43561865", "pmid"=>"16520826", "scopus"=>"2-s2.0-33645777446", "issn"=>"15537390", "isbn"=>"1553-7404 (Electronic)"}, "id"=>"005eb51b-6a8e-3169-98ec-1c395b2d8693", "abstract"=>"CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease.", "link"=>"http://www.mendeley.com/research/cpg-island-methylation-human-lymphocytes-highly-correlated-dna-sequence-repeats-predicted-dna-struct-14", "reader_count"=>125, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>6, "Researcher"=>38, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>30, "Student > Postgraduate"=>2, "Student > Master"=>20, "Other"=>1, "Student > Bachelor"=>10, "Lecturer > Senior Lecturer"=>1, "Professor"=>11}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>6, "Researcher"=>38, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>30, "Student > Postgraduate"=>2, "Student > Master"=>20, "Other"=>1, "Student > Bachelor"=>10, "Lecturer > Senior Lecturer"=>1, "Professor"=>11}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Agricultural and Biological Sciences"=>79, "Business, Management and Accounting"=>1, "Chemistry"=>1, "Computer Science"=>6, "Engineering"=>2, "Biochemistry, Genetics and Molecular Biology"=>14, "Nursing and Health Professions"=>1, "Mathematics"=>5, "Medicine and Dentistry"=>8, "Neuroscience"=>2, "Design"=>1, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>8}, "Mathematics"=>{"Mathematics"=>5}, "Unspecified"=>{"Unspecified"=>3}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>2}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>79}, "Computer Science"=>{"Computer Science"=>6}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>14}}, "reader_count_by_country"=>{"Canada"=>2, "South Korea"=>1, "Turkey"=>1, "Belgium"=>1, "United States"=>7, "United Kingdom"=>4, "Italy"=>1, "Australia"=>1, "Germany"=>3, "Spain"=>1, "India"=>1}, "group_count"=>7}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/960489"], "description"=>"<p>The diagram on the left shows boxplots of the predicted DNA rise distribution over the CpG island and the ten sequence windows from −20 kb to 20 kb surrounding the CpG island (averaged over all 132 CpG islands in the Chromosome 21 dataset). Green bars (left) correspond to methylated CpG islands, red bars (right) to unmethylated CpG islands. The diagram on the right shows similar information for the predicted DNA twist.</p>", "links"=>[], "tags"=>["dna", "differs", "methylated", "cpg", "islands", "compared", "unmethylated"], "article_id"=>630489, "categories"=>["Genetics", "Biological Sciences"], "users"=>["Christoph Bock", "Martina Paulsen", "Sascha Tierling", "Thomas Mikeska", "Thomas Lengauer", "Jörn Walter"], "doi"=>"https://dx.doi.org/10.1371/journal.pgen.0020026.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predicted_DNA_Structure_Differs_in_the_Neighborhood_of_Methylated_CpG_Islands_Compared_with_Their_Unmethylated_Counterparts_/630489", "title"=>"Predicted DNA Structure Differs in the Neighborhood of Methylated CpG Islands Compared with Their Unmethylated Counterparts", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-22 08:50:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/471912", "https://ndownloader.figshare.com/files/471929", "https://ndownloader.figshare.com/files/471960", "https://ndownloader.figshare.com/files/472007"], "description"=>"<div><p>CpG island methylation plays an important role in epigenetic gene control during mammalian development and is frequently altered in disease situations such as cancer. The majority of CpG islands is normally unmethylated, but a sizeable fraction is prone to become methylated in various cell types and pathological situations. The goal of this study is to show that a computational epigenetics approach can discriminate between CpG islands that are prone to methylation from those that remain unmethylated. We develop a bioinformatics scoring and prediction method on the basis of a set of 1,184 DNA attributes, which refer to sequence, repeats, predicted structure, CpG islands, genes, predicted binding sites, conservation, and single nucleotide polymorphisms. These attributes are scored on 132 CpG islands across the entire human Chromosome 21, whose methylation status was previously established for normal human lymphocytes. Our results show that three groups of DNA attributes, namely certain sequence patterns, specific DNA repeats, and a particular DNA structure, are each highly correlated with CpG island methylation (correlation coefficients of 0.64, 0.66, and 0.49, respectively). We predicted, and subsequently experimentally examined 12 CpG islands from human Chromosome 21 with unknown methylation patterns and found more than 90% of our predictions to be correct. In addition, we applied our prediction method to analyzing Human Epigenome Project methylation data on human Chromosome 6 and again observed high prediction accuracy. In summary, our results suggest that DNA composition of CpG islands (sequence, repeats, and structure) plays a significant role in predisposing CpG islands for DNA methylation. This finding may have a strong impact on our understanding of changes in CpG island methylation in development and disease.</p></div>", "links"=>[], "tags"=>["cpg", "methylation", "lymphocytes", "correlated", "dna", "predicted"], "article_id"=>153044, "categories"=>["Genetics", "Biological Sciences"], "users"=>["Christoph Bock", "Martina Paulsen", "Sascha Tierling", "Thomas Mikeska", "Thomas Lengauer", "Jörn Walter"], "doi"=>["https://dx.doi.org/10.1371/journal.pgen.0020026.sd001", "https://dx.doi.org/10.1371/journal.pgen.0020026.sd002", "https://dx.doi.org/10.1371/journal.pgen.0020026.sd003", "https://dx.doi.org/10.1371/journal.pgen.0020026.st001"], "stats"=>{"downloads"=>38, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/CpG_Island_Methylation_in_Human_Lymphocytes_Is_Highly_Correlated_with_DNA_Sequence_Repeats_and_Predicted_DNA_Structure_/153044", "title"=>"CpG Island Methylation in Human Lymphocytes Is Highly Correlated with DNA Sequence, Repeats, and Predicted DNA Structure", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2006-03-03 00:50:44"}

PMC Usage Stats | Further Information

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Relative Metric

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