Transcription preinitiation complex structure and dynamics provide insight into genetic diseases
Transcription preinitiation complexes (PICs) are vital assemblies whose function underlies the expression of protein-encoding genes. Cryo-EM advances have begun to uncover their structural organization. Nevertheless, functional analyses are hindered by incompletely modeled regions. Here we integrate...
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Veröffentlicht in: | Nature structural & molecular biology 2019-06, Vol.26 (6), p.397-406 |
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creator | Yan, Chunli Dodd, Thomas He, Yuan Tainer, John A. Tsutakawa, Susan E. Ivanov, Ivaylo |
description | Transcription preinitiation complexes (PICs) are vital assemblies whose function underlies the expression of protein-encoding genes. Cryo-EM advances have begun to uncover their structural organization. Nevertheless, functional analyses are hindered by incompletely modeled regions. Here we integrate all available cryo-EM data to build a practically complete human PIC structural model. This enables simulations that reveal the assembly’s global motions, define PIC partitioning into dynamic communities and delineate how structural modules function together to remodel DNA. We identify key TFIIE–p62 interactions that link core-PIC to TFIIH. p62 rigging interlaces p34, p44 and XPD while capping the DNA-binding and ATP-binding sites of XPD. PIC kinks and locks substrate DNA, creating negative supercoiling within the Pol II cleft to facilitate promoter opening. Mapping disease mutations associated with xeroderma pigmentosum, trichothiodystrophy and Cockayne syndrome onto defined communities reveals clustering into three mechanistic classes that affect TFIIH helicase functions, protein interactions and interface dynamics.
A structural model of the human RNA polymerase II preinitiation complex based on high-resolution cryo-EM data provides mechanistic insights into the consequences of human disease mutations. |
doi_str_mv | 10.1038/s41594-019-0220-3 |
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A structural model of the human RNA polymerase II preinitiation complex based on high-resolution cryo-EM data provides mechanistic insights into the consequences of human disease mutations.</description><identifier>ISSN: 1545-9993</identifier><identifier>ISSN: 1545-9985</identifier><identifier>EISSN: 1545-9985</identifier><identifier>DOI: 10.1038/s41594-019-0220-3</identifier><identifier>PMID: 31110295</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/114 ; 631/337/572 ; 631/535/1258 ; Binding sites ; Biochemistry ; Biochemistry & Molecular Biology ; Biological Microscopy ; Biomedical and Life Sciences ; Biophysics ; Cell Biology ; Cell Cycle Proteins - chemistry ; Cell Cycle Proteins - metabolism ; Clustering ; Cockayne syndrome ; Communities ; Computer simulation ; Deoxyribonucleic acid ; DNA ; DNA - genetics ; DNA - metabolism ; DNA helicase ; Functional morphology ; Gene expression ; Gene mapping ; Gene mutations ; Genetic disorders ; Humans ; Life Sciences ; Mapping ; Membrane Biology ; Models, Molecular ; Mutation ; Protein interaction ; Protein Interaction Maps ; Protein Structure ; Protein Subunits - chemistry ; Protein Subunits - metabolism ; Proteins ; Rigging ; RNA polymerases ; Structure-function relationships ; Substrates ; Supercoiling ; Transcription ; Transcription Factor TFIIH - chemistry ; Transcription Factor TFIIH - metabolism ; Transcription factors ; Transcription Factors - chemistry ; Transcription Factors - metabolism ; Transcription Factors, TFII - chemistry ; Transcription Factors, TFII - metabolism ; Transcription Initiation, Genetic ; Trichothiodystrophy ; Xeroderma pigmentosum ; XPD protein</subject><ispartof>Nature structural & molecular biology, 2019-06, Vol.26 (6), p.397-406</ispartof><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2019</rights><rights>COPYRIGHT 2019 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2019.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c598t-c5ba86e08f6494af48e8a81a10baffc6fe42489ce31d6a680a8d1e36c33a95b3</citedby><cites>FETCH-LOGICAL-c598t-c5ba86e08f6494af48e8a81a10baffc6fe42489ce31d6a680a8d1e36c33a95b3</cites><orcidid>0000-0003-3149-013X ; 0000-0003-1659-2429 ; 0000-0002-5306-1005 ; 0000000253061005 ; 000000033149013X ; 0000000316592429</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,315,781,785,886,27926,27927</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31110295$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1565757$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Yan, Chunli</creatorcontrib><creatorcontrib>Dodd, Thomas</creatorcontrib><creatorcontrib>He, Yuan</creatorcontrib><creatorcontrib>Tainer, John A.</creatorcontrib><creatorcontrib>Tsutakawa, Susan E.</creatorcontrib><creatorcontrib>Ivanov, Ivaylo</creatorcontrib><creatorcontrib>UT-Battelle LLC/ORNL, Oak Ridge, TN (United States)</creatorcontrib><creatorcontrib>Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF), Oak Ridge, TN (United States)</creatorcontrib><title>Transcription preinitiation complex structure and dynamics provide insight into genetic diseases</title><title>Nature structural & molecular biology</title><addtitle>Nat Struct Mol Biol</addtitle><addtitle>Nat Struct Mol Biol</addtitle><description>Transcription preinitiation complexes (PICs) are vital assemblies whose function underlies the expression of protein-encoding genes. Cryo-EM advances have begun to uncover their structural organization. Nevertheless, functional analyses are hindered by incompletely modeled regions. Here we integrate all available cryo-EM data to build a practically complete human PIC structural model. This enables simulations that reveal the assembly’s global motions, define PIC partitioning into dynamic communities and delineate how structural modules function together to remodel DNA. We identify key TFIIE–p62 interactions that link core-PIC to TFIIH. p62 rigging interlaces p34, p44 and XPD while capping the DNA-binding and ATP-binding sites of XPD. PIC kinks and locks substrate DNA, creating negative supercoiling within the Pol II cleft to facilitate promoter opening. Mapping disease mutations associated with xeroderma pigmentosum, trichothiodystrophy and Cockayne syndrome onto defined communities reveals clustering into three mechanistic classes that affect TFIIH helicase functions, protein interactions and interface dynamics.
A structural model of the human RNA polymerase II preinitiation complex based on high-resolution cryo-EM data provides mechanistic insights into the consequences of human disease mutations.</description><subject>631/114</subject><subject>631/337/572</subject><subject>631/535/1258</subject><subject>Binding sites</subject><subject>Biochemistry</subject><subject>Biochemistry & Molecular Biology</subject><subject>Biological Microscopy</subject><subject>Biomedical and Life Sciences</subject><subject>Biophysics</subject><subject>Cell Biology</subject><subject>Cell Cycle Proteins - chemistry</subject><subject>Cell Cycle Proteins - metabolism</subject><subject>Clustering</subject><subject>Cockayne syndrome</subject><subject>Communities</subject><subject>Computer simulation</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>DNA - genetics</subject><subject>DNA - metabolism</subject><subject>DNA helicase</subject><subject>Functional morphology</subject><subject>Gene expression</subject><subject>Gene mapping</subject><subject>Gene mutations</subject><subject>Genetic disorders</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Mapping</subject><subject>Membrane Biology</subject><subject>Models, Molecular</subject><subject>Mutation</subject><subject>Protein interaction</subject><subject>Protein Interaction Maps</subject><subject>Protein Structure</subject><subject>Protein Subunits - 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Oak Ridge Leadership Computing Facility (OLCF), Oak Ridge, TN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcription preinitiation complex structure and dynamics provide insight into genetic diseases</atitle><jtitle>Nature structural & molecular biology</jtitle><stitle>Nat Struct Mol Biol</stitle><addtitle>Nat Struct Mol Biol</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>26</volume><issue>6</issue><spage>397</spage><epage>406</epage><pages>397-406</pages><issn>1545-9993</issn><issn>1545-9985</issn><eissn>1545-9985</eissn><abstract>Transcription preinitiation complexes (PICs) are vital assemblies whose function underlies the expression of protein-encoding genes. Cryo-EM advances have begun to uncover their structural organization. Nevertheless, functional analyses are hindered by incompletely modeled regions. Here we integrate all available cryo-EM data to build a practically complete human PIC structural model. This enables simulations that reveal the assembly’s global motions, define PIC partitioning into dynamic communities and delineate how structural modules function together to remodel DNA. We identify key TFIIE–p62 interactions that link core-PIC to TFIIH. p62 rigging interlaces p34, p44 and XPD while capping the DNA-binding and ATP-binding sites of XPD. PIC kinks and locks substrate DNA, creating negative supercoiling within the Pol II cleft to facilitate promoter opening. Mapping disease mutations associated with xeroderma pigmentosum, trichothiodystrophy and Cockayne syndrome onto defined communities reveals clustering into three mechanistic classes that affect TFIIH helicase functions, protein interactions and interface dynamics.
A structural model of the human RNA polymerase II preinitiation complex based on high-resolution cryo-EM data provides mechanistic insights into the consequences of human disease mutations.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>31110295</pmid><doi>10.1038/s41594-019-0220-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-3149-013X</orcidid><orcidid>https://orcid.org/0000-0003-1659-2429</orcidid><orcidid>https://orcid.org/0000-0002-5306-1005</orcidid><orcidid>https://orcid.org/0000000253061005</orcidid><orcidid>https://orcid.org/000000033149013X</orcidid><orcidid>https://orcid.org/0000000316592429</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 631/114 631/337/572 631/535/1258 Binding sites Biochemistry Biochemistry & Molecular Biology Biological Microscopy Biomedical and Life Sciences Biophysics Cell Biology Cell Cycle Proteins - chemistry Cell Cycle Proteins - metabolism Clustering Cockayne syndrome Communities Computer simulation Deoxyribonucleic acid DNA DNA - genetics DNA - metabolism DNA helicase Functional morphology Gene expression Gene mapping Gene mutations Genetic disorders Humans Life Sciences Mapping Membrane Biology Models, Molecular Mutation Protein interaction Protein Interaction Maps Protein Structure Protein Subunits - chemistry Protein Subunits - metabolism Proteins Rigging RNA polymerases Structure-function relationships Substrates Supercoiling Transcription Transcription Factor TFIIH - chemistry Transcription Factor TFIIH - metabolism Transcription factors Transcription Factors - chemistry Transcription Factors - metabolism Transcription Factors, TFII - chemistry Transcription Factors, TFII - metabolism Transcription Initiation, Genetic Trichothiodystrophy Xeroderma pigmentosum XPD protein |
title | Transcription preinitiation complex structure and dynamics provide insight into genetic diseases |
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