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10.1016/j.molcel.2016.07.023 http://scihub22266oqcxt.onion/10.1016/j.molcel.2016.07.023 C5031555!5031555 !27496019     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27496019 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27496019 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Mol+Cell 2016 ; 63 (6 ): 1080-8 Nephropedia Template TP {{tp|p=27496019 |t=2016. Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolution |pdf=|usr=}}{{27496019 }} gab.com Text Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolution JO: Mol Cell http://www.kidney.de/pget.php?&tw=1&pmid=27496019 #FOAvip Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been instrumental to our current view of chromatin structure and function. It allows genome-wide mapping of histone marks, which demarcate biologically relevant domains. However, ChIP-seq is an ensemble measurement reporting the average occupancy of individual marks in a cell population. Consequently, our understanding of the combinatorial nature of chromatin states relies almost exclusively on correlation between the genomic distributions of individual marks. Here, we report the development of combinatorial-iChIP to determine the genome-wide co-occurrence of histone marks at single-nucleosome resolution. By comparing to a null model, we show that certain combinations of overlapping marks (H3K36me3 and H3K79me3) co-occur more frequently than would be expected by chance, while others (H3K4me3 and H3K36me3) do not, reflecting differences in the underlying chromatin pathways. We further use combinatorial-iChIP to illuminate aspects of the Set2-RPD3S pathway. This approach promises to improve our understanding of the combinatorial complexity of chromatin. Twit Text FOAVip Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolution ????Mol Cell http://www.kidney.de/pget.php?&tw=1&pmid=27496019 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27496019 #FOAvip English Wikipedia <ref>{{Cite pmid|27496019 }}</ref> Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolution #MMPMID27496019 Sadeh R ; Launer-Wachs R ; Wandel H ; Rahat A ; Friedman N Mol Cell 2016[Sep]; 63 (6 ): 1080-8 PMID27496019 show ga Chromatin immunoprecipitation followed by sequencing (ChIP-seq) has been instrumental to our current view of chromatin structure and function. It allows genome-wide mapping of histone marks, which demarcate biologically relevant domains. However, ChIP-seq is an ensemble measurement reporting the average occupancy of individual marks in a cell population. Consequently, our understanding of the combinatorial nature of chromatin states relies almost exclusively on correlation between the genomic distributions of individual marks. Here, we report the development of combinatorial-iChIP to determine the genome-wide co-occurrence of histone marks at single-nucleosome resolution. By comparing to a null model, we show that certain combinations of overlapping marks (H3K36me3 and H3K79me3) co-occur more frequently than would be expected by chance, while others (H3K4me3 and H3K36me3) do not, reflecting differences in the underlying chromatin pathways. We further use combinatorial-iChIP to illuminate aspects of the Set2-RPD3S pathway. This approach promises to improve our understanding of the combinatorial complexity of chromatin. |*Gene Expression Regulation, Fungal [MESH] |*Genome, Fungal [MESH] |Chromatin Immunoprecipitation/methods [MESH] |Chromosome Mapping [MESH] |High-Throughput Nucleotide Sequencing [MESH] |Histone Deacetylases/genetics/metabolism [MESH] |Histones/*genetics/metabolism [MESH] |Methylation [MESH] |Methyltransferases/genetics/metabolism [MESH] |Nucleosomes/*chemistry/metabolism [MESH] |Saccharomyces cerevisiae Proteins/genetics/metabolism [MESH] |Saccharomyces cerevisiae/*genetics/metabolism [MESH]Elucidating Combinatorial Chromatin States at Single-Nucleosome Resolu(epmc).pdf DeepDyve Pubget Overpricing