Systematic analysis of transcription start sites in avian development

Cap Analysis of Gene Expression (CAGE) in combination with single-molecule sequencing technology allows precision mapping of transcription start sites (TSSs) and genome-wide capture of promoter activities in differentiated and steady state cell populations. Much less is known about whether TSS profi...

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Veröffentlicht in:PLoS biology 2017-09, Vol.15 (9), p.e2002887-e2002887
Hauptverfasser: Lizio, Marina, Deviatiiarov, Ruslan, Nagai, Hiroki, Galan, Laura, Arner, Erik, Itoh, Masayoshi, Lassmann, Timo, Kasukawa, Takeya, Hasegawa, Akira, Ros, Marian A, Hayashizaki, Yoshihide, Carninci, Piero, Forrest, Alistair R R, Kawaji, Hideya, Gusev, Oleg, Sheng, Guojun
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container_end_page e2002887
container_issue 9
container_start_page e2002887
container_title PLoS biology
container_volume 15
creator Lizio, Marina
Deviatiiarov, Ruslan
Nagai, Hiroki
Galan, Laura
Arner, Erik
Itoh, Masayoshi
Lassmann, Timo
Kasukawa, Takeya
Hasegawa, Akira
Ros, Marian A
Hayashizaki, Yoshihide
Carninci, Piero
Forrest, Alistair R R
Kawaji, Hideya
Gusev, Oleg
Sheng, Guojun
description Cap Analysis of Gene Expression (CAGE) in combination with single-molecule sequencing technology allows precision mapping of transcription start sites (TSSs) and genome-wide capture of promoter activities in differentiated and steady state cell populations. Much less is known about whether TSS profiling can characterize diverse and non-steady state cell populations, such as the approximately 400 transitory and heterogeneous cell types that arise during ontogeny of vertebrate animals. To gain such insight, we used the chick model and performed CAGE-based TSS analysis on embryonic samples covering the full 3-week developmental period. In total, 31,863 robust TSS peaks (>1 tag per million [TPM]) were mapped to the latest chicken genome assembly, of which 34% to 46% were active in any given developmental stage. ZENBU, a web-based, open-source platform, was used for interactive data exploration. TSSs of genes critical for lineage differentiation could be precisely mapped and their activities tracked throughout development, suggesting that non-steady state and heterogeneous cell populations are amenable to CAGE-based transcriptional analysis. Our study also uncovered a large set of extremely stable housekeeping TSSs and many novel stage-specific ones. We furthermore demonstrated that TSS mapping could expedite motif-based promoter analysis for regulatory modules associated with stage-specific and housekeeping genes. Finally, using Brachyury as an example, we provide evidence that precise TSS mapping in combination with Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-on technology enables us, for the first time, to efficiently target endogenous avian genes for transcriptional activation. Taken together, our results represent the first report of genome-wide TSS mapping in birds and the first systematic developmental TSS analysis in any amniote species (birds and mammals). By facilitating promoter-based molecular analysis and genetic manipulation, our work also underscores the value of avian models in unravelling the complex regulatory mechanism of cell lineage specification during amniote development.
doi_str_mv 10.1371/journal.pbio.2002887
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Much less is known about whether TSS profiling can characterize diverse and non-steady state cell populations, such as the approximately 400 transitory and heterogeneous cell types that arise during ontogeny of vertebrate animals. To gain such insight, we used the chick model and performed CAGE-based TSS analysis on embryonic samples covering the full 3-week developmental period. In total, 31,863 robust TSS peaks (&gt;1 tag per million [TPM]) were mapped to the latest chicken genome assembly, of which 34% to 46% were active in any given developmental stage. ZENBU, a web-based, open-source platform, was used for interactive data exploration. TSSs of genes critical for lineage differentiation could be precisely mapped and their activities tracked throughout development, suggesting that non-steady state and heterogeneous cell populations are amenable to CAGE-based transcriptional analysis. Our study also uncovered a large set of extremely stable housekeeping TSSs and many novel stage-specific ones. We furthermore demonstrated that TSS mapping could expedite motif-based promoter analysis for regulatory modules associated with stage-specific and housekeeping genes. Finally, using Brachyury as an example, we provide evidence that precise TSS mapping in combination with Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-on technology enables us, for the first time, to efficiently target endogenous avian genes for transcriptional activation. Taken together, our results represent the first report of genome-wide TSS mapping in birds and the first systematic developmental TSS analysis in any amniote species (birds and mammals). By facilitating promoter-based molecular analysis and genetic manipulation, our work also underscores the value of avian models in unravelling the complex regulatory mechanism of cell lineage specification during amniote development.</description><identifier>ISSN: 1545-7885</identifier><identifier>ISSN: 1544-9173</identifier><identifier>EISSN: 1545-7885</identifier><identifier>DOI: 10.1371/journal.pbio.2002887</identifier><identifier>PMID: 28873399</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Animals ; Bioinformatics ; Biological Evolution ; Biology and Life Sciences ; Birds ; Cages ; Cell lineage ; Chick Embryo ; Clustered Regularly Interspaced Short Palindromic Repeats ; CRISPR ; Deoxyribonucleic acid ; Developmental biology ; Developmental stages ; DNA ; DNA methylation ; DNA sequencing ; Embryonic Development ; Exploration ; Gene expression ; Gene mapping ; Gene sequencing ; Genes ; Genetic engineering ; Genetic transcription ; Genome-Wide Association Study ; Genomes ; Life sciences ; Mammals ; Mapping ; Medical research ; Methods ; Methods and Resources ; Nucleotide sequencing ; Observations ; Ontogeny ; Populations ; Preventive medicine ; Regulatory mechanisms (biology) ; Research and Analysis Methods ; Software ; Steady state ; Supervision ; Technology ; Transcription activation ; Transcription factors ; Transcription Initiation Site</subject><ispartof>PLoS biology, 2017-09, Vol.15 (9), p.e2002887-e2002887</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Lizio M, Deviatiiarov R, Nagai H, Galan L, Arner E, Itoh M, et al. (2017) Systematic analysis of transcription start sites in avian development. PLoS Biol15(9): e2002887. https://doi.org/10.1371/journal.pbio.2002887</rights><rights>2017 Lizio et al 2017 Lizio et al</rights><rights>2017 Public Library of Science. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Lizio M, Deviatiiarov R, Nagai H, Galan L, Arner E, Itoh M, et al. (2017) Systematic analysis of transcription start sites in avian development. 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Our study also uncovered a large set of extremely stable housekeeping TSSs and many novel stage-specific ones. We furthermore demonstrated that TSS mapping could expedite motif-based promoter analysis for regulatory modules associated with stage-specific and housekeeping genes. Finally, using Brachyury as an example, we provide evidence that precise TSS mapping in combination with Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-on technology enables us, for the first time, to efficiently target endogenous avian genes for transcriptional activation. Taken together, our results represent the first report of genome-wide TSS mapping in birds and the first systematic developmental TSS analysis in any amniote species (birds and mammals). By facilitating promoter-based molecular analysis and genetic manipulation, our work also underscores the value of avian models in unravelling the complex regulatory mechanism of cell lineage specification during amniote development.</description><subject>Animals</subject><subject>Bioinformatics</subject><subject>Biological Evolution</subject><subject>Biology and Life Sciences</subject><subject>Birds</subject><subject>Cages</subject><subject>Cell lineage</subject><subject>Chick Embryo</subject><subject>Clustered Regularly Interspaced Short Palindromic Repeats</subject><subject>CRISPR</subject><subject>Deoxyribonucleic acid</subject><subject>Developmental biology</subject><subject>Developmental stages</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>DNA sequencing</subject><subject>Embryonic Development</subject><subject>Exploration</subject><subject>Gene expression</subject><subject>Gene mapping</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genetic engineering</subject><subject>Genetic transcription</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Life sciences</subject><subject>Mammals</subject><subject>Mapping</subject><subject>Medical research</subject><subject>Methods</subject><subject>Methods and Resources</subject><subject>Nucleotide sequencing</subject><subject>Observations</subject><subject>Ontogeny</subject><subject>Populations</subject><subject>Preventive medicine</subject><subject>Regulatory mechanisms (biology)</subject><subject>Research and Analysis Methods</subject><subject>Software</subject><subject>Steady state</subject><subject>Supervision</subject><subject>Technology</subject><subject>Transcription activation</subject><subject>Transcription factors</subject><subject>Transcription Initiation Site</subject><issn>1545-7885</issn><issn>1544-9173</issn><issn>1545-7885</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqVkl9v0zAUxSMEYqPwDRBE4gUeWvwnjuMXpGkaUGliEgNeLce-Lq6SuLPdin57HJpNK9oDyA-27N859j2-RfESowWmHL9f-20YVLfYtM4vCEKkafij4hSzis1507DH99YnxbMY15khgjRPi5ORpVSI0-Lieh8T9Co5Xapst48ult6WKagh6uA2yfmhjEmFVEaXIJZuKNXOqaE0sIPOb3oY0vPiiVVdhBfTPCu-f7z4dv55fnn1aXl-djnXvMZpzhE3hJDWMEEYtVRXHBHFK6sNrmoEVNWUMEZry6BSdc3AQpZgBMQyqyidFa8PvpvORzklECUWDFeMigpnYnkgjFdruQmuV2EvvXLyz4YPK5lLcboDmdNoWmpBG95UphbCKAGKNKI1ra0RyV4fptu2bQ9G50KD6o5Mj08G91Ou_E6yGqGcbjZ4OxkEf7OFmGTvooauUwP47fhuWhMmKsEz-uYv9OHqJmqlcgFusD7fq0dTecYQpw1DmZwViweoPAz0TvsBrMv7R4J3R4LMJPiVVmobo1xef_0P9su_s1c_jtnqwOrgYwxg73LGSI4NfxuIHBteTg2fZa_u_9Gd6LbD6W9UH_rJ</recordid><startdate>20170905</startdate><enddate>20170905</enddate><creator>Lizio, Marina</creator><creator>Deviatiiarov, Ruslan</creator><creator>Nagai, Hiroki</creator><creator>Galan, Laura</creator><creator>Arner, Erik</creator><creator>Itoh, Masayoshi</creator><creator>Lassmann, Timo</creator><creator>Kasukawa, Takeya</creator><creator>Hasegawa, Akira</creator><creator>Ros, Marian A</creator><creator>Hayashizaki, Yoshihide</creator><creator>Carninci, Piero</creator><creator>Forrest, Alistair R R</creator><creator>Kawaji, Hideya</creator><creator>Gusev, Oleg</creator><creator>Sheng, Guojun</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TK</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>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZG</scope><orcidid>https://orcid.org/0000-0001-6759-3785</orcidid></search><sort><creationdate>20170905</creationdate><title>Systematic analysis of transcription start sites in avian development</title><author>Lizio, Marina ; Deviatiiarov, Ruslan ; Nagai, Hiroki ; Galan, Laura ; Arner, Erik ; Itoh, Masayoshi ; Lassmann, Timo ; Kasukawa, Takeya ; Hasegawa, Akira ; Ros, Marian A ; Hayashizaki, Yoshihide ; Carninci, Piero ; Forrest, Alistair R R ; Kawaji, Hideya ; Gusev, Oleg ; Sheng, Guojun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c761t-707d222bd59253f3c4702a74fcd1460e3a6325536f5e4a665efe07d10e2f5fa33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Animals</topic><topic>Bioinformatics</topic><topic>Biological Evolution</topic><topic>Biology and Life Sciences</topic><topic>Birds</topic><topic>Cages</topic><topic>Cell lineage</topic><topic>Chick Embryo</topic><topic>Clustered Regularly Interspaced Short Palindromic Repeats</topic><topic>CRISPR</topic><topic>Deoxyribonucleic acid</topic><topic>Developmental biology</topic><topic>Developmental stages</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>DNA sequencing</topic><topic>Embryonic Development</topic><topic>Exploration</topic><topic>Gene expression</topic><topic>Gene mapping</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genetic engineering</topic><topic>Genetic transcription</topic><topic>Genome-Wide Association Study</topic><topic>Genomes</topic><topic>Life sciences</topic><topic>Mammals</topic><topic>Mapping</topic><topic>Medical research</topic><topic>Methods</topic><topic>Methods and Resources</topic><topic>Nucleotide sequencing</topic><topic>Observations</topic><topic>Ontogeny</topic><topic>Populations</topic><topic>Preventive medicine</topic><topic>Regulatory mechanisms (biology)</topic><topic>Research and Analysis Methods</topic><topic>Software</topic><topic>Steady state</topic><topic>Supervision</topic><topic>Technology</topic><topic>Transcription activation</topic><topic>Transcription factors</topic><topic>Transcription Initiation Site</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lizio, Marina</creatorcontrib><creatorcontrib>Deviatiiarov, Ruslan</creatorcontrib><creatorcontrib>Nagai, Hiroki</creatorcontrib><creatorcontrib>Galan, Laura</creatorcontrib><creatorcontrib>Arner, Erik</creatorcontrib><creatorcontrib>Itoh, Masayoshi</creatorcontrib><creatorcontrib>Lassmann, Timo</creatorcontrib><creatorcontrib>Kasukawa, Takeya</creatorcontrib><creatorcontrib>Hasegawa, Akira</creatorcontrib><creatorcontrib>Ros, Marian A</creatorcontrib><creatorcontrib>Hayashizaki, Yoshihide</creatorcontrib><creatorcontrib>Carninci, Piero</creatorcontrib><creatorcontrib>Forrest, Alistair R R</creatorcontrib><creatorcontrib>Kawaji, Hideya</creatorcontrib><creatorcontrib>Gusev, Oleg</creatorcontrib><creatorcontrib>Sheng, Guojun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health &amp; 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Much less is known about whether TSS profiling can characterize diverse and non-steady state cell populations, such as the approximately 400 transitory and heterogeneous cell types that arise during ontogeny of vertebrate animals. To gain such insight, we used the chick model and performed CAGE-based TSS analysis on embryonic samples covering the full 3-week developmental period. In total, 31,863 robust TSS peaks (&gt;1 tag per million [TPM]) were mapped to the latest chicken genome assembly, of which 34% to 46% were active in any given developmental stage. ZENBU, a web-based, open-source platform, was used for interactive data exploration. TSSs of genes critical for lineage differentiation could be precisely mapped and their activities tracked throughout development, suggesting that non-steady state and heterogeneous cell populations are amenable to CAGE-based transcriptional analysis. Our study also uncovered a large set of extremely stable housekeeping TSSs and many novel stage-specific ones. We furthermore demonstrated that TSS mapping could expedite motif-based promoter analysis for regulatory modules associated with stage-specific and housekeeping genes. Finally, using Brachyury as an example, we provide evidence that precise TSS mapping in combination with Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)-on technology enables us, for the first time, to efficiently target endogenous avian genes for transcriptional activation. Taken together, our results represent the first report of genome-wide TSS mapping in birds and the first systematic developmental TSS analysis in any amniote species (birds and mammals). By facilitating promoter-based molecular analysis and genetic manipulation, our work also underscores the value of avian models in unravelling the complex regulatory mechanism of cell lineage specification during amniote development.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28873399</pmid><doi>10.1371/journal.pbio.2002887</doi><orcidid>https://orcid.org/0000-0001-6759-3785</orcidid><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1545-7885
ispartof PLoS biology, 2017-09, Vol.15 (9), p.e2002887-e2002887
issn 1545-7885
1544-9173
1545-7885
language eng
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source Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Animals
Bioinformatics
Biological Evolution
Biology and Life Sciences
Birds
Cages
Cell lineage
Chick Embryo
Clustered Regularly Interspaced Short Palindromic Repeats
CRISPR
Deoxyribonucleic acid
Developmental biology
Developmental stages
DNA
DNA methylation
DNA sequencing
Embryonic Development
Exploration
Gene expression
Gene mapping
Gene sequencing
Genes
Genetic engineering
Genetic transcription
Genome-Wide Association Study
Genomes
Life sciences
Mammals
Mapping
Medical research
Methods
Methods and Resources
Nucleotide sequencing
Observations
Ontogeny
Populations
Preventive medicine
Regulatory mechanisms (biology)
Research and Analysis Methods
Software
Steady state
Supervision
Technology
Transcription activation
Transcription factors
Transcription Initiation Site
title Systematic analysis of transcription start sites in avian development
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