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  • 1
    Publication Date: 2010-12-24
    Description: Chromatin is composed of DNA and a variety of modified histones and non-histone proteins, which have an impact on cell differentiation, gene regulation and other key cellular processes. Here we present a genome-wide chromatin landscape for Drosophila melanogaster based on eighteen histone modifications, summarized by nine prevalent combinatorial patterns. Integrative analysis with other data (non-histone chromatin proteins, DNase I hypersensitivity, GRO-Seq reads produced by engaged polymerase, short/long RNA products) reveals discrete characteristics of chromosomes, genes, regulatory elements and other functional domains. We find that active genes display distinct chromatin signatures that are correlated with disparate gene lengths, exon patterns, regulatory functions and genomic contexts. We also demonstrate a diversity of signatures among Polycomb targets that include a subset with paused polymerase. This systematic profiling and integrative analysis of chromatin signatures provides insights into how genomic elements are regulated, and will serve as a resource for future experimental investigations of genome structure and function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3109908/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3109908/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kharchenko, Peter V -- Alekseyenko, Artyom A -- Schwartz, Yuri B -- Minoda, Aki -- Riddle, Nicole C -- Ernst, Jason -- Sabo, Peter J -- Larschan, Erica -- Gorchakov, Andrey A -- Gu, Tingting -- Linder-Basso, Daniela -- Plachetka, Annette -- Shanower, Gregory -- Tolstorukov, Michael Y -- Luquette, Lovelace J -- Xi, Ruibin -- Jung, Youngsook L -- Park, Richard W -- Bishop, Eric P -- Canfield, Theresa K -- Sandstrom, Richard -- Thurman, Robert E -- MacAlpine, David M -- Stamatoyannopoulos, John A -- Kellis, Manolis -- Elgin, Sarah C R -- Kuroda, Mitzi I -- Pirrotta, Vincenzo -- Karpen, Gary H -- Park, Peter J -- R01 GM071923/GM/NIGMS NIH HHS/ -- R01 GM082798/GM/NIGMS NIH HHS/ -- R01 HG004037/HG/NHGRI NIH HHS/ -- R37 GM45744/GM/NIGMS NIH HHS/ -- RC1 HG005334/HG/NHGRI NIH HHS/ -- RC2 HG005639/HG/NHGRI NIH HHS/ -- U01 HG004258/HG/NHGRI NIH HHS/ -- U01 HG004258-04/HG/NHGRI NIH HHS/ -- U01 HG004279/HG/NHGRI NIH HHS/ -- U01HG004258/HG/NHGRI NIH HHS/ -- U54 HG004592/HG/NHGRI NIH HHS/ -- England -- Nature. 2011 Mar 24;471(7339):480-5. doi: 10.1038/nature09725. Epub 2010 Dec 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Biomedical Informatics, Harvard Medical School, Boston, Massachusetts 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21179089" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cell Line ; Chromatin/*genetics/*metabolism ; Chromatin Immunoprecipitation ; Chromosomal Proteins, Non-Histone/analysis/metabolism ; Deoxyribonuclease I/metabolism ; Drosophila Proteins/genetics ; Drosophila melanogaster/embryology/*genetics/growth & development ; Exons/genetics ; Gene Expression Regulation/genetics ; Genes, Insect/genetics ; Genome, Insect/genetics ; Histones/chemistry/metabolism ; Male ; Molecular Sequence Annotation ; Oligonucleotide Array Sequence Analysis ; Polycomb Repressive Complex 1 ; RNA/analysis/genetics ; Sequence Analysis ; Transcription, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2012-06-30
    Description: Transposable elements (TEs) are abundant in the human genome, and some are capable of generating new insertions through RNA intermediates. In cancer, the disruption of cellular mechanisms that normally suppress TE activity may facilitate mutagenic retrotranspositions. We performed single-nucleotide resolution analysis of TE insertions in 43 high-coverage whole-genome sequencing data sets from five cancer types. We identified 194 high-confidence somatic TE insertions, as well as thousands of polymorphic TE insertions in matched normal genomes. Somatic insertions were present in epithelial tumors but not in blood or brain cancers. Somatic L1 insertions tend to occur in genes that are commonly mutated in cancer, disrupt the expression of the target genes, and are biased toward regions of cancer-specific DNA hypomethylation, highlighting their potential impact in tumorigenesis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656569/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3656569/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Eunjung -- Iskow, Rebecca -- Yang, Lixing -- Gokcumen, Omer -- Haseley, Psalm -- Luquette, Lovelace J 3rd -- Lohr, Jens G -- Harris, Christopher C -- Ding, Li -- Wilson, Richard K -- Wheeler, David A -- Gibbs, Richard A -- Kucherlapati, Raju -- Lee, Charles -- Kharchenko, Peter V -- Park, Peter J -- Cancer Genome Atlas Research Network -- F32 AG039979/AG/NIA NIH HHS/ -- F32AG039979/AG/NIA NIH HHS/ -- K25 AG037596/AG/NIA NIH HHS/ -- K25AG037596/AG/NIA NIH HHS/ -- R01 GM082798/GM/NIGMS NIH HHS/ -- R01GM082798/GM/NIGMS NIH HHS/ -- RC1HG005482/HG/NHGRI NIH HHS/ -- T32 CA009172/CA/NCI NIH HHS/ -- U01 HG005725/HG/NHGRI NIH HHS/ -- U01HG005209/HG/NHGRI NIH HHS/ -- U01HG005725/HG/NHGRI NIH HHS/ -- U24 CA144025/CA/NCI NIH HHS/ -- U24CA144025/CA/NCI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2012 Aug 24;337(6097):967-71. doi: 10.1126/science.1222077. Epub 2012 Jun 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22745252" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Cell Transformation, Neoplastic ; Colorectal Neoplasms/*genetics ; DNA Methylation ; Female ; Gene Expression Regulation, Neoplastic ; Genes, Neoplasm ; Genome, Human ; Glioblastoma/*genetics ; Humans ; Long Interspersed Nucleotide Elements ; Male ; Microsatellite Instability ; Molecular Sequence Annotation ; Molecular Sequence Data ; Multiple Myeloma/*genetics ; Mutagenesis, Insertional ; Mutation ; Ovarian Neoplasms/*genetics ; Prostatic Neoplasms/*genetics ; *Retroelements ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2015-10-03
    Description: Neurons live for decades in a postmitotic state, their genomes susceptible to DNA damage. Here we survey the landscape of somatic single-nucleotide variants (SNVs) in the human brain. We identified thousands of somatic SNVs by single-cell sequencing of 36 neurons from the cerebral cortex of three normal individuals. Unlike germline and cancer SNVs, which are often caused by errors in DNA replication, neuronal mutations appear to reflect damage during active transcription. Somatic mutations create nested lineage trees, allowing them to be dated relative to developmental landmarks and revealing a polyclonal architecture of the human cerebral cortex. Thus, somatic mutations in the brain represent a durable and ongoing record of neuronal life history, from development through postmitotic function.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664477/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4664477/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lodato, Michael A -- Woodworth, Mollie B -- Lee, Semin -- Evrony, Gilad D -- Mehta, Bhaven K -- Karger, Amir -- Lee, Soohyun -- Chittenden, Thomas W -- D'Gama, Alissa M -- Cai, Xuyu -- Luquette, Lovelace J -- Lee, Eunjung -- Park, Peter J -- Walsh, Christopher A -- 1S10RR028832-01/RR/NCRR NIH HHS/ -- P50 MH106933/MH/NIMH NIH HHS/ -- R01 NS032457/NS/NINDS NIH HHS/ -- R01 NS079277/NS/NINDS NIH HHS/ -- T32 AG000222/AG/NIA NIH HHS/ -- T32 GM007226/GM/NIGMS NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U01 MH106883/MH/NIMH NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Oct 2;350(6256):94-8. doi: 10.1126/science.aab1785.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA; and Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. ; Research Computing, Harvard Medical School, Boston, MA, USA. ; Research Computing, Harvard Medical School, Boston, MA, USA. Complex Biological Systems Alliance, North Andover, MA, USA. ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA. ; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA. peter_park@harvard.edu christopher.walsh@childrens.harvard.edu. ; Division of Genetics and Genomics, Manton Center for Orphan Disease, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA, USA; Departments of Neurology and Pediatrics, Harvard Medical School, Boston, MA, USA; and Broad Institute of MIT and Harvard, Cambridge, MA, USA. peter_park@harvard.edu christopher.walsh@childrens.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26430121" target="_blank"〉PubMed〈/a〉
    Keywords: Adolescent ; Cell Lineage ; Cerebral Cortex/*cytology/*growth & development ; DNA Mutational Analysis ; DNA Replication/genetics ; Female ; Genetic Loci ; Humans ; Male ; Mitosis/genetics ; *Mutation ; Neurons/*cytology/*physiology ; *Polymorphism, Single Nucleotide ; Single-Cell Analysis ; *Transcription, Genetic
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
  • 5
    Publication Date: 2011-11-16
    Description: DNA copy number variations (CNVs) play an important role in the pathogenesis and progression of cancer and confer susceptibility to a variety of human disorders. Array comparative genomic hybridization has been used widely to identify CNVs genome wide, but the next-generation sequencing technology provides an opportunity to characterize CNVs genome wide with unprecedented resolution. In this study, we developed an algorithm to detect CNVs from whole-genome sequencing data and applied it to a newly sequenced glioblastoma genome with a matched control. This read-depth algorithm, called BIC-seq, can accurately and efficiently identify CNVs via minimizing the Bayesian information criterion. Using BIC-seq, we identified hundreds of CNVs as small as 40 bp in the cancer genome sequenced at 10× coverage, whereas we could only detect large CNVs (〉 15 kb) in the array comparative genomic hybridization profiles for the same genome. Eighty percent (14/16) of the small variants tested (110 bp to 14 kb) were experimentally validated by quantitative PCR, demonstrating high sensitivity and true positive rate of the algorithm. We also extended the algorithm to detect recurrent CNVs in multiple samples as well as deriving error bars for breakpoints using a Gibbs sampling approach. We propose this statistical approach as a principled yet practical and efficient method to estimate CNVs in whole-genome sequencing data.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 6
    Publication Date: 2014-10-04
    Description: : Efficient workflows to shepherd clinically generated genomic data through the multiple stages of a next-generation sequencing pipeline are of critical importance in translational biomedical science. Here we present COSMOS, a Python library for workflow management that allows formal description of pipelines and partitioning of jobs. In addition, it includes a user interface for tracking the progress of jobs, abstraction of the queuing system and fine-grained control over the workflow. Workflows can be created on traditional computing clusters as well as cloud-based services. Availability and implementation: Source code is available for academic non-commercial research purposes. Links to code and documentation are provided at http://lpm.hms.harvard.edu and http://wall-lab.stanford.edu . Contact: dpwall@stanford.edu or peter_tonellato@hms.harvard.edu . Supplementary information : Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 7
    Publication Date: 2014-05-20
    Description: In a chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) experiment, an important consideration in experimental design is the minimum number of sequenced reads required to obtain statistically significant results. We present an extensive evaluation of the impact of sequencing depth on identification of enriched regions for key histone modifications (H3K4me3, H3K36me3, H3K27me3 and H3K9me2/me3) using deep-sequenced datasets in human and fly. We propose to define sufficient sequencing depth as the number of reads at which detected enrichment regions increase 〈1% for an additional million reads. Although the required depth depends on the nature of the mark and the state of the cell in each experiment, we observe that sufficient depth is often reached at 〈20 million reads for fly. For human, there are no clear saturation points for the examined datasets, but our analysis suggests 40–50 million reads as a practical minimum for most marks. We also devise a mathematical model to estimate the sufficient depth and total genomic coverage of a mark. Lastly, we find that the five algorithms tested do not agree well for broad enrichment profiles, especially at lower depths. Our findings suggest that sufficient sequencing depth and an appropriate peak-calling algorithm are essential for ensuring robustness of conclusions derived from ChIP-seq data.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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  • 8
    Publication Date: 2018-02-03
    Description: It has long been hypothesized that aging and neurodegeneration are associated with somatic mutation in neurons; however, methodological hurdles have prevented testing this hypothesis directly. We used single-cell whole-genome sequencing to perform genome-wide somatic single-nucleotide variant (sSNV) identification on DNA from 161 single neurons from the prefrontal cortex and hippocampus of 15 normal individuals (aged 4 months to 82 years), as well as 9 individuals affected by early-onset neurodegeneration due to genetic disorders of DNA repair (Cockayne syndrome and xeroderma pigmentosum). sSNVs increased approximately linearly with age in both areas (with a higher rate in hippocampus) and were more abundant in neurodegenerative disease. The accumulation of somatic mutations with age—which we term genosenium—shows age-related, region-related, and disease-related molecular signatures and may be important in other human age-associated conditions.
    Keywords: Neuroscience
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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