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  • 1
    Publication Date: 2008-12-19
    Description: Nucleosome organization is critical for gene regulation. In living cells this organization is determined by multiple factors, including the action of chromatin remodellers, competition with site-specific DNA-binding proteins, and the DNA sequence preferences of the nucleosomes themselves. However, it has been difficult to estimate the relative importance of each of these mechanisms in vivo, because in vivo nucleosome maps reflect the combined action of all influencing factors. Here we determine the importance of nucleosome DNA sequence preferences experimentally by measuring the genome-wide occupancy of nucleosomes assembled on purified yeast genomic DNA. The resulting map, in which nucleosome occupancy is governed only by the intrinsic sequence preferences of nucleosomes, is similar to in vivo nucleosome maps generated in three different growth conditions. In vitro, nucleosome depletion is evident at many transcription factor binding sites and around gene start and end sites, indicating that nucleosome depletion at these sites in vivo is partly encoded in the genome. We confirm these results with a micrococcal nuclease-independent experiment that measures the relative affinity of nucleosomes for approximately 40,000 double-stranded 150-base-pair oligonucleotides. Using our in vitro data, we devise a computational model of nucleosome sequence preferences that is significantly correlated with in vivo nucleosome occupancy in Caenorhabditis elegans. Our results indicate that the intrinsic DNA sequence preferences of nucleosomes have a central role in determining the organization of nucleosomes in vivo.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2658732/" 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/PMC2658732/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kaplan, Noam -- Moore, Irene K -- Fondufe-Mittendorf, Yvonne -- Gossett, Andrea J -- Tillo, Desiree -- Field, Yair -- LeProust, Emily M -- Hughes, Timothy R -- Lieb, Jason D -- Widom, Jonathan -- Segal, Eran -- R01 CA119176/CA/NCI NIH HHS/ -- R01 CA119176-03/CA/NCI NIH HHS/ -- R01 GM054692/GM/NIGMS NIH HHS/ -- R01 GM054692-11/GM/NIGMS NIH HHS/ -- R01 GM058617/GM/NIGMS NIH HHS/ -- R01 GM058617-11/GM/NIGMS NIH HHS/ -- R01 GM072518/GM/NIGMS NIH HHS/ -- R01 GM072518-01A1/GM/NIGMS NIH HHS/ -- R01 GM072518-02/GM/NIGMS NIH HHS/ -- R01 GM072518-03/GM/NIGMS NIH HHS/ -- R01 GM072518-04/GM/NIGMS NIH HHS/ -- England -- Nature. 2009 Mar 19;458(7236):362-6. doi: 10.1038/nature07667. Epub 2008 Dec 17.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19092803" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Base Sequence ; Caenorhabditis elegans/genetics ; Chickens ; Computational Biology ; Computer Simulation ; Eukaryotic Cells/*metabolism ; Genome, Fungal/*genetics ; Micrococcal Nuclease/metabolism ; Nucleosomes/*genetics/metabolism ; RNA, Messenger/genetics/metabolism ; Saccharomyces cerevisiae/*genetics/growth & development ; Sequence Analysis, DNA ; Transcription Factors/metabolism
    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: 2013-12-18
    Description: Genomes contain both a genetic code specifying amino acids and a regulatory code specifying transcription factor (TF) recognition sequences. We used genomic deoxyribonuclease I footprinting to map nucleotide resolution TF occupancy across the human exome in 81 diverse cell types. We found that ~15% of human codons are dual-use codons ("duons") that simultaneously specify both amino acids and TF recognition sites. Duons are highly conserved and have shaped protein evolution, and TF-imposed constraint appears to be a major driver of codon usage bias. Conversely, the regulatory code has been selectively depleted of TFs that recognize stop codons. More than 17% of single-nucleotide variants within duons directly alter TF binding. Pervasive dual encoding of amino acid and regulatory information appears to be a fundamental feature of genome evolution.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3967546/" 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/PMC3967546/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stergachis, Andrew B -- Haugen, Eric -- Shafer, Anthony -- Fu, Wenqing -- Vernot, Benjamin -- Reynolds, Alex -- Raubitschek, Anthony -- Ziegler, Steven -- LeProust, Emily M -- Akey, Joshua M -- Stamatoyannopoulos, John A -- F30 DK095678/DK/NIDDK NIH HHS/ -- FDK095678A/PHS HHS/ -- T32 GM007266/GM/NIGMS NIH HHS/ -- U01ES01156/ES/NIEHS NIH HHS/ -- U54 HG004592/HG/NHGRI NIH HHS/ -- U54 HG007010/HG/NHGRI NIH HHS/ -- U54HG004592/HG/NHGRI NIH HHS/ -- U54HG007010/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2013 Dec 13;342(6164):1367-72. doi: 10.1126/science.1243490.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24337295" target="_blank"〉PubMed〈/a〉
    Keywords: Codon/*genetics ; DNA Footprinting ; Deoxyribonuclease I/chemistry ; *Evolution, Molecular ; *Exome ; *Exons ; *Genome, Human ; Humans ; Polymorphism, Single Nucleotide ; Transcription Factors/genetics/*metabolism
    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: 2013-01-29
    Description: Digital production, transmission and storage have revolutionized how we access and use information but have also made archiving an increasingly complex task that requires active, continuing maintenance of digital media. This challenge has focused some interest on DNA as an attractive target for information storage because of its capacity for high-density information encoding, longevity under easily achieved conditions and proven track record as an information bearer. Previous DNA-based information storage approaches have encoded only trivial amounts of information or were not amenable to scaling-up, and used no robust error-correction and lacked examination of their cost-efficiency for large-scale information archival. Here we describe a scalable method that can reliably store more information than has been handled before. We encoded computer files totalling 739 kilobytes of hard-disk storage and with an estimated Shannon information of 5.2 x 10(6) bits into a DNA code, synthesized this DNA, sequenced it and reconstructed the original files with 100% accuracy. Theoretical analysis indicates that our DNA-based storage scheme could be scaled far beyond current global information volumes and offers a realistic technology for large-scale, long-term and infrequently accessed digital archiving. In fact, current trends in technological advances are reducing DNA synthesis costs at a pace that should make our scheme cost-effective for sub-50-year archiving within a decade.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672958/" 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/PMC3672958/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Goldman, Nick -- Bertone, Paul -- Chen, Siyuan -- Dessimoz, Christophe -- LeProust, Emily M -- Sipos, Botond -- Birney, Ewan -- 088151/Wellcome Trust/United Kingdom -- England -- Nature. 2013 Feb 7;494(7435):77-80. doi: 10.1038/nature11875. Epub 2013 Jan 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SD, UK. goldman@ebi.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23354052" target="_blank"〉PubMed〈/a〉
    Keywords: *Archives ; Base Sequence ; Computers ; DNA/*chemical synthesis/*chemistry/economics ; Information Management/economics/*methods ; Molecular Sequence Data ; Sequence Analysis, DNA/economics ; Synthetic Biology/economics/methods
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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