Structural imprints in vivo decode RNA regulatory mechanisms

The single-stranded nature of RNAs synthesized in the cell gives them great scope to form different structures, but current methods to measure RNA structure in vivo are limited; now, a new methodology allows researchers to examine all four nucleotides in mouse embryonic stem cells. Probing native RN...

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Veröffentlicht in:Nature (London) 2015-03, Vol.519 (7544), p.486-490
Hauptverfasser: Spitale, Robert C., Flynn, Ryan A., Zhang, Qiangfeng Cliff, Crisalli, Pete, Lee, Byron, Jung, Jong-Wha, Kuchelmeister, Hannes Y., Batista, Pedro J., Torre, Eduardo A., Kool, Eric T., Chang, Howard Y.
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container_end_page 490
container_issue 7544
container_start_page 486
container_title Nature (London)
container_volume 519
creator Spitale, Robert C.
Flynn, Ryan A.
Zhang, Qiangfeng Cliff
Crisalli, Pete
Lee, Byron
Jung, Jong-Wha
Kuchelmeister, Hannes Y.
Batista, Pedro J.
Torre, Eduardo A.
Kool, Eric T.
Chang, Howard Y.
description The single-stranded nature of RNAs synthesized in the cell gives them great scope to form different structures, but current methods to measure RNA structure in vivo are limited; now, a new methodology allows researchers to examine all four nucleotides in mouse embryonic stem cells. Probing native RNA structure The single-stranded nature of cellular RNAs allows them flexibility to adopt different secondary structures that can affect their function. However, current methods of measuring RNA structure in vivo are limited. Two papers published in this week's issue of Nature present new techniques to address this gap. Howard Chang and colleagues have exploited a click methodology that enables the first global view of RNA secondary structures in living cells for all four bases. While some structures are stable and seem to be programmed by sequence, others are dynamic, reflecting the binding of proteins or modification of the bases. This method may allow RNA to be analysed in vivo from a structural genomics perspective. In the second study, Jernej Ule and colleagues have developed a method, hiCLIP, to specifically measure RNA structures bound by proteins. Various features are observed, such as a preference for intramolecular interactions and an under-representation of structures in coding regions. The results confirm that RNA structure is able to regulate gene expression. While the functional significance is not known, it is notable that SNPs are not present at the expected frequency in coding regions. Visualizing the physical basis for molecular behaviour inside living cells is a great challenge for biology. RNAs are central to biological regulation, and the ability of RNA to adopt specific structures intimately controls every step of the gene expression program 1 . However, our understanding of physiological RNA structures is limited; current in vivo RNA structure profiles include only two of the four nucleotides that make up RNA 2 , 3 . Here we present a novel biochemical approach, in vivo click selective 2′-hydroxyl acylation and profiling experiment (icSHAPE), which enables the first global view, to our knowledge, of RNA secondary structures in living cells for all four bases. icSHAPE of the mouse embryonic stem cell transcriptome versus purified RNA folded in vitro shows that the structural dynamics of RNA in the cellular environment distinguish different classes of RNAs and regulatory elements. Structural signatures at translational start sites and ribosom
doi_str_mv 10.1038/nature14263
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Probing native RNA structure The single-stranded nature of cellular RNAs allows them flexibility to adopt different secondary structures that can affect their function. However, current methods of measuring RNA structure in vivo are limited. Two papers published in this week's issue of Nature present new techniques to address this gap. Howard Chang and colleagues have exploited a click methodology that enables the first global view of RNA secondary structures in living cells for all four bases. While some structures are stable and seem to be programmed by sequence, others are dynamic, reflecting the binding of proteins or modification of the bases. This method may allow RNA to be analysed in vivo from a structural genomics perspective. In the second study, Jernej Ule and colleagues have developed a method, hiCLIP, to specifically measure RNA structures bound by proteins. Various features are observed, such as a preference for intramolecular interactions and an under-representation of structures in coding regions. The results confirm that RNA structure is able to regulate gene expression. While the functional significance is not known, it is notable that SNPs are not present at the expected frequency in coding regions. Visualizing the physical basis for molecular behaviour inside living cells is a great challenge for biology. RNAs are central to biological regulation, and the ability of RNA to adopt specific structures intimately controls every step of the gene expression program 1 . However, our understanding of physiological RNA structures is limited; current in vivo RNA structure profiles include only two of the four nucleotides that make up RNA 2 , 3 . Here we present a novel biochemical approach, in vivo click selective 2′-hydroxyl acylation and profiling experiment (icSHAPE), which enables the first global view, to our knowledge, of RNA secondary structures in living cells for all four bases. icSHAPE of the mouse embryonic stem cell transcriptome versus purified RNA folded in vitro shows that the structural dynamics of RNA in the cellular environment distinguish different classes of RNAs and regulatory elements. Structural signatures at translational start sites and ribosome pause sites are conserved from in vitro conditions, suggesting that these RNA elements are programmed by sequence. In contrast, focal structural rearrangements in vivo reveal precise interfaces of RNA with RNA-binding proteins or RNA-modification sites that are consistent with atomic-resolution structural data. Such dynamic structural footprints enable accurate prediction of RNA–protein interactions and N 6 -methyladenosine (m 6 A) modification genome wide. These results open the door for structural genomics of RNA in living cells and reveal key physiological structures controlling gene expression.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>DOI: 10.1038/nature14263</identifier><identifier>PMID: 25799993</identifier><identifier>CODEN: NATUAS</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/337/2019 ; 631/45/500 ; 631/92/500 ; 639/638/92/500 ; Acylation ; Adenosine - analogs &amp; derivatives ; Analysis ; Animals ; Binding Sites ; Cell Survival ; Cellular biology ; Click Chemistry ; Computational Biology ; Embryonic stem cells ; Embryonic Stem Cells - cytology ; Embryonic Stem Cells - metabolism ; Gene Expression Regulation - genetics ; Genetic aspects ; Genetic regulation ; Genetic research ; Genome - genetics ; Humanities and Social Sciences ; letter ; Mice ; Models, Molecular ; Molecular structure ; multidisciplinary ; Nucleic Acid Conformation ; Observations ; Physiology ; Protein binding ; Protein Biosynthesis - genetics ; Proteins ; Regulatory Sequences, Ribonucleic Acid - genetics ; Ribonucleic acid ; Ribosomes - metabolism ; RNA ; RNA - chemistry ; RNA - classification ; RNA - genetics ; RNA - metabolism ; RNA processing ; RNA sequencing ; RNA-Binding Proteins - metabolism ; Science ; Stem cells ; Transcriptome - genetics</subject><ispartof>Nature (London), 2015-03, Vol.519 (7544), p.486-490</ispartof><rights>Springer Nature Limited 2015</rights><rights>COPYRIGHT 2015 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Mar 26, 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c887t-1b922a4f1d59214b315b78ffeab808f4919350c7180dc58cd7adee921977a80b3</citedby><cites>FETCH-LOGICAL-c887t-1b922a4f1d59214b315b78ffeab808f4919350c7180dc58cd7adee921977a80b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nature14263$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nature14263$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25799993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Spitale, Robert C.</creatorcontrib><creatorcontrib>Flynn, Ryan A.</creatorcontrib><creatorcontrib>Zhang, Qiangfeng Cliff</creatorcontrib><creatorcontrib>Crisalli, Pete</creatorcontrib><creatorcontrib>Lee, Byron</creatorcontrib><creatorcontrib>Jung, Jong-Wha</creatorcontrib><creatorcontrib>Kuchelmeister, Hannes Y.</creatorcontrib><creatorcontrib>Batista, Pedro J.</creatorcontrib><creatorcontrib>Torre, Eduardo A.</creatorcontrib><creatorcontrib>Kool, Eric T.</creatorcontrib><creatorcontrib>Chang, Howard Y.</creatorcontrib><title>Structural imprints in vivo decode RNA regulatory mechanisms</title><title>Nature (London)</title><addtitle>Nature</addtitle><addtitle>Nature</addtitle><description>The single-stranded nature of RNAs synthesized in the cell gives them great scope to form different structures, but current methods to measure RNA structure in vivo are limited; now, a new methodology allows researchers to examine all four nucleotides in mouse embryonic stem cells. Probing native RNA structure The single-stranded nature of cellular RNAs allows them flexibility to adopt different secondary structures that can affect their function. However, current methods of measuring RNA structure in vivo are limited. Two papers published in this week's issue of Nature present new techniques to address this gap. Howard Chang and colleagues have exploited a click methodology that enables the first global view of RNA secondary structures in living cells for all four bases. While some structures are stable and seem to be programmed by sequence, others are dynamic, reflecting the binding of proteins or modification of the bases. This method may allow RNA to be analysed in vivo from a structural genomics perspective. In the second study, Jernej Ule and colleagues have developed a method, hiCLIP, to specifically measure RNA structures bound by proteins. Various features are observed, such as a preference for intramolecular interactions and an under-representation of structures in coding regions. The results confirm that RNA structure is able to regulate gene expression. While the functional significance is not known, it is notable that SNPs are not present at the expected frequency in coding regions. Visualizing the physical basis for molecular behaviour inside living cells is a great challenge for biology. RNAs are central to biological regulation, and the ability of RNA to adopt specific structures intimately controls every step of the gene expression program 1 . However, our understanding of physiological RNA structures is limited; current in vivo RNA structure profiles include only two of the four nucleotides that make up RNA 2 , 3 . Here we present a novel biochemical approach, in vivo click selective 2′-hydroxyl acylation and profiling experiment (icSHAPE), which enables the first global view, to our knowledge, of RNA secondary structures in living cells for all four bases. icSHAPE of the mouse embryonic stem cell transcriptome versus purified RNA folded in vitro shows that the structural dynamics of RNA in the cellular environment distinguish different classes of RNAs and regulatory elements. Structural signatures at translational start sites and ribosome pause sites are conserved from in vitro conditions, suggesting that these RNA elements are programmed by sequence. In contrast, focal structural rearrangements in vivo reveal precise interfaces of RNA with RNA-binding proteins or RNA-modification sites that are consistent with atomic-resolution structural data. Such dynamic structural footprints enable accurate prediction of RNA–protein interactions and N 6 -methyladenosine (m 6 A) modification genome wide. These results open the door for structural genomics of RNA in living cells and reveal key physiological structures controlling gene expression.</description><subject>631/337/2019</subject><subject>631/45/500</subject><subject>631/92/500</subject><subject>639/638/92/500</subject><subject>Acylation</subject><subject>Adenosine - analogs &amp; derivatives</subject><subject>Analysis</subject><subject>Animals</subject><subject>Binding Sites</subject><subject>Cell Survival</subject><subject>Cellular biology</subject><subject>Click Chemistry</subject><subject>Computational Biology</subject><subject>Embryonic stem cells</subject><subject>Embryonic Stem Cells - cytology</subject><subject>Embryonic Stem Cells - metabolism</subject><subject>Gene Expression Regulation - genetics</subject><subject>Genetic aspects</subject><subject>Genetic regulation</subject><subject>Genetic research</subject><subject>Genome - genetics</subject><subject>Humanities and Social Sciences</subject><subject>letter</subject><subject>Mice</subject><subject>Models, Molecular</subject><subject>Molecular structure</subject><subject>multidisciplinary</subject><subject>Nucleic Acid Conformation</subject><subject>Observations</subject><subject>Physiology</subject><subject>Protein binding</subject><subject>Protein Biosynthesis - genetics</subject><subject>Proteins</subject><subject>Regulatory Sequences, Ribonucleic Acid - genetics</subject><subject>Ribonucleic acid</subject><subject>Ribosomes - metabolism</subject><subject>RNA</subject><subject>RNA - chemistry</subject><subject>RNA - classification</subject><subject>RNA - genetics</subject><subject>RNA - metabolism</subject><subject>RNA processing</subject><subject>RNA sequencing</subject><subject>RNA-Binding Proteins - metabolism</subject><subject>Science</subject><subject>Stem cells</subject><subject>Transcriptome - genetics</subject><issn>0028-0836</issn><issn>1476-4687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNk99r1TAUgIso7jp98l2Ke1G0M2nTJAURLhd_DMaEbeJjSNPTLqNN7pL24v57c7lzttK5nTwEku98OYFzouglRocYZfyDkf3gAJOUZo-iBSaMJoRy9jhaIJTyBPGM7kXPvL9ECOWYkafRXpqzIkS2iD6e9W5QQSDbWHdrp03vY23ijd7YuAJlK4hPT5axg2ZoZW_dddyBupBG-84_j57UsvXw4mbfj358-Xy--pYcf_96tFoeJ4pz1ie4LNJUkhpXeZFiUmY4Lxmva5AlR7wmBS6yHCmGOapUzlXFZAUQ0IIxyVGZ7Uefdt71UHZQKTB9qFeEajvproWVWkxvjL4Qjd0IkjFKMQ-CNzcCZ68G8L3otFfQttKAHbzAlLKMcEKygB78g17awZnwvR2V0hB_qUa2ILSpbXhXbaViGaDgwgj9lyKIpSkl6ZZKZqgGDISvWAO1DscT60P4sf_1DK_W-kqMpXdCY9PhDBRWBZ1Ws6U-KGH8wttJQmB6-NU3cvBeHJ2dTuX3sWPvu7vZ5fnP1cnUfD8941bOeu-gvm1MjMR2QsVoQgP9atzLt-yfkQzA-x3gt9PYgBs14IzvN_l4PAQ</recordid><startdate>20150326</startdate><enddate>20150326</enddate><creator>Spitale, Robert C.</creator><creator>Flynn, Ryan A.</creator><creator>Zhang, Qiangfeng Cliff</creator><creator>Crisalli, Pete</creator><creator>Lee, Byron</creator><creator>Jung, Jong-Wha</creator><creator>Kuchelmeister, Hannes Y.</creator><creator>Batista, Pedro J.</creator><creator>Torre, Eduardo A.</creator><creator>Kool, Eric T.</creator><creator>Chang, Howard Y.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ATWCN</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T5</scope><scope>7TG</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>S0X</scope><scope>SOI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150326</creationdate><title>Structural imprints in vivo decode RNA regulatory mechanisms</title><author>Spitale, Robert C. ; Flynn, Ryan A. ; Zhang, Qiangfeng Cliff ; Crisalli, Pete ; Lee, Byron ; Jung, Jong-Wha ; Kuchelmeister, Hannes Y. ; Batista, Pedro J. ; Torre, Eduardo A. ; Kool, Eric T. ; Chang, Howard Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c887t-1b922a4f1d59214b315b78ffeab808f4919350c7180dc58cd7adee921977a80b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>631/337/2019</topic><topic>631/45/500</topic><topic>631/92/500</topic><topic>639/638/92/500</topic><topic>Acylation</topic><topic>Adenosine - 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Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Spitale, Robert C.</au><au>Flynn, Ryan A.</au><au>Zhang, Qiangfeng Cliff</au><au>Crisalli, Pete</au><au>Lee, Byron</au><au>Jung, Jong-Wha</au><au>Kuchelmeister, Hannes Y.</au><au>Batista, Pedro J.</au><au>Torre, Eduardo A.</au><au>Kool, Eric T.</au><au>Chang, Howard Y.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Structural imprints in vivo decode RNA regulatory mechanisms</atitle><jtitle>Nature (London)</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2015-03-26</date><risdate>2015</risdate><volume>519</volume><issue>7544</issue><spage>486</spage><epage>490</epage><pages>486-490</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><coden>NATUAS</coden><abstract>The single-stranded nature of RNAs synthesized in the cell gives them great scope to form different structures, but current methods to measure RNA structure in vivo are limited; now, a new methodology allows researchers to examine all four nucleotides in mouse embryonic stem cells. Probing native RNA structure The single-stranded nature of cellular RNAs allows them flexibility to adopt different secondary structures that can affect their function. However, current methods of measuring RNA structure in vivo are limited. Two papers published in this week's issue of Nature present new techniques to address this gap. Howard Chang and colleagues have exploited a click methodology that enables the first global view of RNA secondary structures in living cells for all four bases. While some structures are stable and seem to be programmed by sequence, others are dynamic, reflecting the binding of proteins or modification of the bases. This method may allow RNA to be analysed in vivo from a structural genomics perspective. In the second study, Jernej Ule and colleagues have developed a method, hiCLIP, to specifically measure RNA structures bound by proteins. Various features are observed, such as a preference for intramolecular interactions and an under-representation of structures in coding regions. The results confirm that RNA structure is able to regulate gene expression. While the functional significance is not known, it is notable that SNPs are not present at the expected frequency in coding regions. Visualizing the physical basis for molecular behaviour inside living cells is a great challenge for biology. RNAs are central to biological regulation, and the ability of RNA to adopt specific structures intimately controls every step of the gene expression program 1 . However, our understanding of physiological RNA structures is limited; current in vivo RNA structure profiles include only two of the four nucleotides that make up RNA 2 , 3 . Here we present a novel biochemical approach, in vivo click selective 2′-hydroxyl acylation and profiling experiment (icSHAPE), which enables the first global view, to our knowledge, of RNA secondary structures in living cells for all four bases. icSHAPE of the mouse embryonic stem cell transcriptome versus purified RNA folded in vitro shows that the structural dynamics of RNA in the cellular environment distinguish different classes of RNAs and regulatory elements. Structural signatures at translational start sites and ribosome pause sites are conserved from in vitro conditions, suggesting that these RNA elements are programmed by sequence. In contrast, focal structural rearrangements in vivo reveal precise interfaces of RNA with RNA-binding proteins or RNA-modification sites that are consistent with atomic-resolution structural data. Such dynamic structural footprints enable accurate prediction of RNA–protein interactions and N 6 -methyladenosine (m 6 A) modification genome wide. These results open the door for structural genomics of RNA in living cells and reveal key physiological structures controlling gene expression.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>25799993</pmid><doi>10.1038/nature14263</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 0028-0836
ispartof Nature (London), 2015-03, Vol.519 (7544), p.486-490
issn 0028-0836
1476-4687
language eng
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subjects 631/337/2019
631/45/500
631/92/500
639/638/92/500
Acylation
Adenosine - analogs & derivatives
Analysis
Animals
Binding Sites
Cell Survival
Cellular biology
Click Chemistry
Computational Biology
Embryonic stem cells
Embryonic Stem Cells - cytology
Embryonic Stem Cells - metabolism
Gene Expression Regulation - genetics
Genetic aspects
Genetic regulation
Genetic research
Genome - genetics
Humanities and Social Sciences
letter
Mice
Models, Molecular
Molecular structure
multidisciplinary
Nucleic Acid Conformation
Observations
Physiology
Protein binding
Protein Biosynthesis - genetics
Proteins
Regulatory Sequences, Ribonucleic Acid - genetics
Ribonucleic acid
Ribosomes - metabolism
RNA
RNA - chemistry
RNA - classification
RNA - genetics
RNA - metabolism
RNA processing
RNA sequencing
RNA-Binding Proteins - metabolism
Science
Stem cells
Transcriptome - genetics
title Structural imprints in vivo decode RNA regulatory mechanisms
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