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  • 1
    Publication Date: 2015-12-25
    Description: The carboxy-terminal domain (CTD) of the RNA polymerase II (RNAP II) subunit POLR2A is a platform for modifications specifying the recruitment of factors that regulate transcription, mRNA processing, and chromatin remodelling. Here we show that a CTD arginine residue (R1810 in human) that is conserved across vertebrates is symmetrically dimethylated (me2s). This R1810me2s modification requires protein arginine methyltransferase 5 (PRMT5) and recruits the Tudor domain of the survival of motor neuron (SMN, also known as GEMIN1) protein, which is mutated in spinal muscular atrophy. SMN interacts with senataxin, which is sometimes mutated in ataxia oculomotor apraxia type 2 and amyotrophic lateral sclerosis. Because POLR2A R1810me2s and SMN, like senataxin, are required for resolving RNA-DNA hybrids created by RNA polymerase II that form R-loops in transcription termination regions, we propose that R1810me2s, SMN, and senataxin are components of an R-loop resolution pathway. Defects in this pathway can influence transcription termination and may contribute to neurodegenerative disorders.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhao, Dorothy Yanling -- Gish, Gerald -- Braunschweig, Ulrich -- Li, Yue -- Ni, Zuyao -- Schmitges, Frank W -- Zhong, Guoqing -- Liu, Ke -- Li, Weiguo -- Moffat, Jason -- Vedadi, Masoud -- Min, Jinrong -- Pawson, Tony J -- Blencowe, Benjamin J -- Greenblatt, Jack F -- Canadian Institutes of Health Research/Canada -- England -- Nature. 2016 Jan 7;529(7584):48-53. doi: 10.1038/nature16469. Epub 2015 Dec 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Donnelly Centre, University of Toronto, Toronto, Ontario M5S 3E1, Canada. ; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, 600 University Avenue, Toronto, Ontario M5G 1X5, Canada. ; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada. ; Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada. ; Structural Genomics Consortium, University of Toronto, Toronto, Ontario M5G 1L7, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26700805" target="_blank"〉PubMed〈/a〉
    Keywords: Arginine/*metabolism ; Cell Line ; DNA Damage ; Humans ; Methylation ; Neurodegenerative Diseases/genetics ; Protein Binding ; Protein Structure, Tertiary ; Protein-Arginine N-Methyltransferases/genetics/metabolism ; RNA Helicases/genetics/metabolism ; RNA Polymerase II/*chemistry/*metabolism ; Survival of Motor Neuron 1 Protein/genetics/*metabolism ; Transcription Elongation, Genetic ; *Transcription Termination, Genetic
    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: 2015-10-31
    Description: Development of an accurate protein–DNA recognition code that can predict DNA specificity from protein sequence is a central problem in biology. C 2 H 2 zinc fingers constitute by far the largest family of DNA binding domains and their binding specificity has been studied intensively. However, despite decades of research, accurate prediction of DNA specificity remains elusive. A major obstacle is thought to be the inability of current methods to account for the influence of neighbouring domains. Here we show that this problem can be addressed using a structural approach: we build structural models for all C 2 H 2 -ZF–DNA complexes with known binding motifs and find six distinct binding modes. Each mode changes the orientation of specificity residues with respect to the DNA, thereby modulating base preference. Most importantly, the structural analysis shows that residues at the domain interface strongly and predictably influence the binding mode, and hence specificity. Accounting for predicted binding mode significantly improves prediction accuracy of predicted motifs. This new insight into the fundamental behaviour of C 2 H 2 -ZFs has implications for both improving the prediction of natural zinc finger-binding sites, and for prioritizing further experiments to complete the code. It also provides a new design feature for zinc finger engineering.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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