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 |
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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 |
format | Article |
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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><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 & 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 & 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 - analogs & derivatives</topic><topic>Analysis</topic><topic>Animals</topic><topic>Binding Sites</topic><topic>Cell Survival</topic><topic>Cellular biology</topic><topic>Click Chemistry</topic><topic>Computational Biology</topic><topic>Embryonic stem cells</topic><topic>Embryonic Stem Cells - cytology</topic><topic>Embryonic Stem Cells - metabolism</topic><topic>Gene Expression Regulation - genetics</topic><topic>Genetic aspects</topic><topic>Genetic regulation</topic><topic>Genetic research</topic><topic>Genome - genetics</topic><topic>Humanities and Social Sciences</topic><topic>letter</topic><topic>Mice</topic><topic>Models, Molecular</topic><topic>Molecular structure</topic><topic>multidisciplinary</topic><topic>Nucleic Acid Conformation</topic><topic>Observations</topic><topic>Physiology</topic><topic>Protein binding</topic><topic>Protein Biosynthesis - genetics</topic><topic>Proteins</topic><topic>Regulatory Sequences, Ribonucleic Acid - genetics</topic><topic>Ribonucleic acid</topic><topic>Ribosomes - 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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> |
fulltext | fulltext |
identifier | ISSN: 0028-0836 |
ispartof | Nature (London), 2015-03, Vol.519 (7544), p.486-490 |
issn | 0028-0836 1476-4687 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4376618 |
source | MEDLINE; Nature Journals Online; SpringerLink Journals - AutoHoldings |
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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