Base-pair-resolution genome-wide mapping of active RNA polymerases using precision nuclear run-on (PRO-seq)
Mahat et al . describe how to map the genome-wide positions of active RNA polymerases using a modified nuclear run-on approach called PRO-seq. Details for PRO-cap, a modification that identifies transcription start sites, are also included. We provide a protocol for precision nuclear run-on sequenci...
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description | Mahat
et al
. describe how to map the genome-wide positions of active RNA polymerases using a modified nuclear run-on approach called PRO-seq. Details for PRO-cap, a modification that identifies transcription start sites, are also included.
We provide a protocol for precision nuclear run-on sequencing (PRO-seq) and its variant, PRO-cap, which map the location of active RNA polymerases (PRO-seq) or transcription start sites (TSSs) (PRO-cap) genome-wide at high resolution. The density of RNA polymerases at a particular genomic locus directly reflects the level of nascent transcription at that region. Nuclei are isolated from cells and, under nuclear run-on conditions, transcriptionally engaged RNA polymerases incorporate one or, at most, a few biotin-labeled nucleotide triphosphates (biotin-NTPs) into the 3′ end of nascent RNA. The biotin-labeled nascent RNA is used to prepare sequencing libraries, which are sequenced from the 3′ end to provide high-resolution positional information for the RNA polymerases. PRO-seq provides much higher sensitivity than ChIP-seq, and it generates a much larger fraction of usable sequence reads than ChIP-seq or NET-seq (native elongating transcript sequencing). Similarly to NET-seq, PRO-seq maps the RNA polymerase at up to base-pair resolution with strand specificity, but unlike NET-seq it does not require immunoprecipitation. With the protocol provided here, PRO-seq (or PRO-cap) libraries for high-throughput sequencing can be generated in 4–5 working days. The method has been applied to human, mouse,
Drosophila melanogaster
and
Caenorhabditis elegans
cells and, with slight modifications, to yeast. |
doi_str_mv | 10.1038/nprot.2016.086 |
format | Article |
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et al
. describe how to map the genome-wide positions of active RNA polymerases using a modified nuclear run-on approach called PRO-seq. Details for PRO-cap, a modification that identifies transcription start sites, are also included.
We provide a protocol for precision nuclear run-on sequencing (PRO-seq) and its variant, PRO-cap, which map the location of active RNA polymerases (PRO-seq) or transcription start sites (TSSs) (PRO-cap) genome-wide at high resolution. The density of RNA polymerases at a particular genomic locus directly reflects the level of nascent transcription at that region. Nuclei are isolated from cells and, under nuclear run-on conditions, transcriptionally engaged RNA polymerases incorporate one or, at most, a few biotin-labeled nucleotide triphosphates (biotin-NTPs) into the 3′ end of nascent RNA. The biotin-labeled nascent RNA is used to prepare sequencing libraries, which are sequenced from the 3′ end to provide high-resolution positional information for the RNA polymerases. PRO-seq provides much higher sensitivity than ChIP-seq, and it generates a much larger fraction of usable sequence reads than ChIP-seq or NET-seq (native elongating transcript sequencing). Similarly to NET-seq, PRO-seq maps the RNA polymerase at up to base-pair resolution with strand specificity, but unlike NET-seq it does not require immunoprecipitation. With the protocol provided here, PRO-seq (or PRO-cap) libraries for high-throughput sequencing can be generated in 4–5 working days. The method has been applied to human, mouse,
Drosophila melanogaster
and
Caenorhabditis elegans
cells and, with slight modifications, to yeast.</description><identifier>ISSN: 1754-2189</identifier><identifier>ISSN: 1750-2799</identifier><identifier>EISSN: 1750-2799</identifier><identifier>DOI: 10.1038/nprot.2016.086</identifier><identifier>PMID: 27442863</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>38/23 ; 38/39 ; 38/91 ; 631/1647/2017 ; 631/1647/514/1949 ; 631/208/212/2019 ; 631/337/572/2102 ; Analysis ; Analytical Chemistry ; Animals ; Base Pairing ; Biological Techniques ; Biotin ; Chromosome Mapping - methods ; Computational Biology/Bioinformatics ; DNA-Directed RNA Polymerases - metabolism ; Drosophila melanogaster - enzymology ; Drosophila melanogaster - genetics ; Genetic transcription ; Genome-wide association studies ; Genomes ; Humans ; Life Sciences ; Mice ; Microarrays ; Organic Chemistry ; Protocol ; RNA - chemistry ; RNA - genetics ; RNA - metabolism ; RNA polymerase ; RNA polymerases ; Sequence Analysis, RNA ; Transcription Initiation Site ; Yeasts</subject><ispartof>Nature protocols, 2016-08, Vol.11 (8), p.1455-1476</ispartof><rights>Springer Nature Limited 2016</rights><rights>COPYRIGHT 2016 Nature Publishing Group</rights><rights>Copyright Nature Publishing Group Aug 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c552t-c3a4adea8f9e558820966036b54d71bbec25e7324ad09f36f217cfd543fdf3aa3</citedby><cites>FETCH-LOGICAL-c552t-c3a4adea8f9e558820966036b54d71bbec25e7324ad09f36f217cfd543fdf3aa3</cites><orcidid>0000-0001-8413-6498 ; 0000-0002-1999-7125</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nprot.2016.086$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nprot.2016.086$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27442863$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahat, Dig Bijay</creatorcontrib><creatorcontrib>Kwak, Hojoong</creatorcontrib><creatorcontrib>Booth, Gregory T</creatorcontrib><creatorcontrib>Jonkers, Iris H</creatorcontrib><creatorcontrib>Danko, Charles G</creatorcontrib><creatorcontrib>Patel, Ravi K</creatorcontrib><creatorcontrib>Waters, Colin T</creatorcontrib><creatorcontrib>Munson, Katie</creatorcontrib><creatorcontrib>Core, Leighton J</creatorcontrib><creatorcontrib>Lis, John T</creatorcontrib><title>Base-pair-resolution genome-wide mapping of active RNA polymerases using precision nuclear run-on (PRO-seq)</title><title>Nature protocols</title><addtitle>Nat Protoc</addtitle><addtitle>Nat Protoc</addtitle><description>Mahat
et al
. describe how to map the genome-wide positions of active RNA polymerases using a modified nuclear run-on approach called PRO-seq. Details for PRO-cap, a modification that identifies transcription start sites, are also included.
We provide a protocol for precision nuclear run-on sequencing (PRO-seq) and its variant, PRO-cap, which map the location of active RNA polymerases (PRO-seq) or transcription start sites (TSSs) (PRO-cap) genome-wide at high resolution. The density of RNA polymerases at a particular genomic locus directly reflects the level of nascent transcription at that region. Nuclei are isolated from cells and, under nuclear run-on conditions, transcriptionally engaged RNA polymerases incorporate one or, at most, a few biotin-labeled nucleotide triphosphates (biotin-NTPs) into the 3′ end of nascent RNA. The biotin-labeled nascent RNA is used to prepare sequencing libraries, which are sequenced from the 3′ end to provide high-resolution positional information for the RNA polymerases. PRO-seq provides much higher sensitivity than ChIP-seq, and it generates a much larger fraction of usable sequence reads than ChIP-seq or NET-seq (native elongating transcript sequencing). Similarly to NET-seq, PRO-seq maps the RNA polymerase at up to base-pair resolution with strand specificity, but unlike NET-seq it does not require immunoprecipitation. With the protocol provided here, PRO-seq (or PRO-cap) libraries for high-throughput sequencing can be generated in 4–5 working days. The method has been applied to human, mouse,
Drosophila melanogaster
and
Caenorhabditis elegans
cells and, with slight modifications, to yeast.</description><subject>38/23</subject><subject>38/39</subject><subject>38/91</subject><subject>631/1647/2017</subject><subject>631/1647/514/1949</subject><subject>631/208/212/2019</subject><subject>631/337/572/2102</subject><subject>Analysis</subject><subject>Analytical Chemistry</subject><subject>Animals</subject><subject>Base Pairing</subject><subject>Biological Techniques</subject><subject>Biotin</subject><subject>Chromosome Mapping - methods</subject><subject>Computational Biology/Bioinformatics</subject><subject>DNA-Directed RNA Polymerases - metabolism</subject><subject>Drosophila melanogaster - enzymology</subject><subject>Drosophila melanogaster - genetics</subject><subject>Genetic transcription</subject><subject>Genome-wide association studies</subject><subject>Genomes</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Mice</subject><subject>Microarrays</subject><subject>Organic Chemistry</subject><subject>Protocol</subject><subject>RNA - chemistry</subject><subject>RNA - genetics</subject><subject>RNA - metabolism</subject><subject>RNA polymerase</subject><subject>RNA polymerases</subject><subject>Sequence Analysis, RNA</subject><subject>Transcription Initiation Site</subject><subject>Yeasts</subject><issn>1754-2189</issn><issn>1750-2799</issn><issn>1750-2799</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptkUtv1DAUhSMEoqWwZYkisSkLT_12skEaKl5SRVEFa8vjXA8uiZ3aSVH_Pc7MUBXEyrbOd47v1amqlwSvCGbNWRhTnFYUE7nCjXxUHRMlMKKqbR_v7hxR0rRH1bOcrzHmikn1tDqiinPaSHZc_XxnMqDR-IQS5NjPk4-h3kKIA6BfvoN6MOPow7aOrjZ28rdQX31Z12Ps7wZIxZzrOS_6mMD6vLjDbHswqU5zQOV5-vXqEmW4efO8euJMn-HF4Typvn94_-38E7q4_Pj5fH2BrBB0QpYZbjowjWtBiKahuJUSM7kRvFNkswFLBShGC4Rbx6SjRFnXCc5c55gx7KR6u88d580AnYUwJdPrMfnBpDsdjdd_K8H_0Nt4q4XAVFBRAk4PASnezJAnPfhsoe9NgDhnTRosOWulagr6-h_0Os4plPUKRTChFO8CD9TW9KB9cLH8a5dQveaiVZQTQgq12lM2xZwTuPuRCdZL23rXtl7a1qXtYnj1cNF7_E-9BTjbA7lIYQvpwXT_j_wNTf23CA</recordid><startdate>20160801</startdate><enddate>20160801</enddate><creator>Mahat, Dig Bijay</creator><creator>Kwak, Hojoong</creator><creator>Booth, Gregory T</creator><creator>Jonkers, Iris H</creator><creator>Danko, Charles G</creator><creator>Patel, Ravi K</creator><creator>Waters, Colin T</creator><creator>Munson, Katie</creator><creator>Core, Leighton J</creator><creator>Lis, John T</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>3V.</scope><scope>7QG</scope><scope>7T5</scope><scope>7T7</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-8413-6498</orcidid><orcidid>https://orcid.org/0000-0002-1999-7125</orcidid></search><sort><creationdate>20160801</creationdate><title>Base-pair-resolution genome-wide mapping of active RNA polymerases using precision nuclear run-on (PRO-seq)</title><author>Mahat, Dig Bijay ; Kwak, Hojoong ; Booth, Gregory T ; Jonkers, Iris H ; Danko, Charles G ; Patel, Ravi K ; Waters, Colin T ; Munson, Katie ; Core, Leighton J ; Lis, John T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c552t-c3a4adea8f9e558820966036b54d71bbec25e7324ad09f36f217cfd543fdf3aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>38/23</topic><topic>38/39</topic><topic>38/91</topic><topic>631/1647/2017</topic><topic>631/1647/514/1949</topic><topic>631/208/212/2019</topic><topic>631/337/572/2102</topic><topic>Analysis</topic><topic>Analytical Chemistry</topic><topic>Animals</topic><topic>Base Pairing</topic><topic>Biological Techniques</topic><topic>Biotin</topic><topic>Chromosome Mapping - methods</topic><topic>Computational Biology/Bioinformatics</topic><topic>DNA-Directed RNA Polymerases - metabolism</topic><topic>Drosophila melanogaster - enzymology</topic><topic>Drosophila melanogaster - genetics</topic><topic>Genetic transcription</topic><topic>Genome-wide association studies</topic><topic>Genomes</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Mice</topic><topic>Microarrays</topic><topic>Organic Chemistry</topic><topic>Protocol</topic><topic>RNA - chemistry</topic><topic>RNA - genetics</topic><topic>RNA - metabolism</topic><topic>RNA polymerase</topic><topic>RNA polymerases</topic><topic>Sequence Analysis, RNA</topic><topic>Transcription Initiation Site</topic><topic>Yeasts</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahat, Dig Bijay</creatorcontrib><creatorcontrib>Kwak, Hojoong</creatorcontrib><creatorcontrib>Booth, Gregory T</creatorcontrib><creatorcontrib>Jonkers, Iris H</creatorcontrib><creatorcontrib>Danko, Charles G</creatorcontrib><creatorcontrib>Patel, Ravi K</creatorcontrib><creatorcontrib>Waters, Colin T</creatorcontrib><creatorcontrib>Munson, Katie</creatorcontrib><creatorcontrib>Core, Leighton J</creatorcontrib><creatorcontrib>Lis, John T</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature protocols</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahat, Dig Bijay</au><au>Kwak, Hojoong</au><au>Booth, Gregory T</au><au>Jonkers, Iris H</au><au>Danko, Charles G</au><au>Patel, Ravi K</au><au>Waters, Colin T</au><au>Munson, Katie</au><au>Core, Leighton J</au><au>Lis, John T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Base-pair-resolution genome-wide mapping of active RNA polymerases using precision nuclear run-on (PRO-seq)</atitle><jtitle>Nature protocols</jtitle><stitle>Nat Protoc</stitle><addtitle>Nat Protoc</addtitle><date>2016-08-01</date><risdate>2016</risdate><volume>11</volume><issue>8</issue><spage>1455</spage><epage>1476</epage><pages>1455-1476</pages><issn>1754-2189</issn><issn>1750-2799</issn><eissn>1750-2799</eissn><abstract>Mahat
et al
. describe how to map the genome-wide positions of active RNA polymerases using a modified nuclear run-on approach called PRO-seq. Details for PRO-cap, a modification that identifies transcription start sites, are also included.
We provide a protocol for precision nuclear run-on sequencing (PRO-seq) and its variant, PRO-cap, which map the location of active RNA polymerases (PRO-seq) or transcription start sites (TSSs) (PRO-cap) genome-wide at high resolution. The density of RNA polymerases at a particular genomic locus directly reflects the level of nascent transcription at that region. Nuclei are isolated from cells and, under nuclear run-on conditions, transcriptionally engaged RNA polymerases incorporate one or, at most, a few biotin-labeled nucleotide triphosphates (biotin-NTPs) into the 3′ end of nascent RNA. The biotin-labeled nascent RNA is used to prepare sequencing libraries, which are sequenced from the 3′ end to provide high-resolution positional information for the RNA polymerases. PRO-seq provides much higher sensitivity than ChIP-seq, and it generates a much larger fraction of usable sequence reads than ChIP-seq or NET-seq (native elongating transcript sequencing). Similarly to NET-seq, PRO-seq maps the RNA polymerase at up to base-pair resolution with strand specificity, but unlike NET-seq it does not require immunoprecipitation. With the protocol provided here, PRO-seq (or PRO-cap) libraries for high-throughput sequencing can be generated in 4–5 working days. The method has been applied to human, mouse,
Drosophila melanogaster
and
Caenorhabditis elegans
cells and, with slight modifications, to yeast.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>27442863</pmid><doi>10.1038/nprot.2016.086</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0001-8413-6498</orcidid><orcidid>https://orcid.org/0000-0002-1999-7125</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 38/23 38/39 38/91 631/1647/2017 631/1647/514/1949 631/208/212/2019 631/337/572/2102 Analysis Analytical Chemistry Animals Base Pairing Biological Techniques Biotin Chromosome Mapping - methods Computational Biology/Bioinformatics DNA-Directed RNA Polymerases - metabolism Drosophila melanogaster - enzymology Drosophila melanogaster - genetics Genetic transcription Genome-wide association studies Genomes Humans Life Sciences Mice Microarrays Organic Chemistry Protocol RNA - chemistry RNA - genetics RNA - metabolism RNA polymerase RNA polymerases Sequence Analysis, RNA Transcription Initiation Site Yeasts |
title | Base-pair-resolution genome-wide mapping of active RNA polymerases using precision nuclear run-on (PRO-seq) |
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