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<title xml:lang="en">Hematopoietic Transcriptional Mechanisms: From Locus-Specific to Genome-Wide Vantage Points</title>
<author>
<name sortKey="Devilbiss, Andrew W" sort="Devilbiss, Andrew W" uniqKey="Devilbiss A" first="Andrew W." last="Devilbiss">Andrew W. Devilbiss</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sanalkumar, Rajendran" sort="Sanalkumar, Rajendran" uniqKey="Sanalkumar R" first="Rajendran" last="Sanalkumar">Rajendran Sanalkumar</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Johnson, Kirby D" sort="Johnson, Kirby D" uniqKey="Johnson K" first="Kirby D." last="Johnson">Kirby D. Johnson</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Keles, Sunduz" sort="Keles, Sunduz" uniqKey="Keles S" first="Sunduz" last="Keles">Sunduz Keles</name>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A3">University of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Bresnick, Emery H" sort="Bresnick, Emery H" uniqKey="Bresnick E" first="Emery H." last="Bresnick">Emery H. Bresnick</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
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<idno type="pmid">24816274</idno>
<idno type="pmc">4125519</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125519</idno>
<idno type="RBID">PMC:4125519</idno>
<idno type="doi">10.1016/j.exphem.2014.05.004</idno>
<date when="2014">2014</date>
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<title xml:lang="en" level="a" type="main">Hematopoietic Transcriptional Mechanisms: From Locus-Specific to Genome-Wide Vantage Points</title>
<author>
<name sortKey="Devilbiss, Andrew W" sort="Devilbiss, Andrew W" uniqKey="Devilbiss A" first="Andrew W." last="Devilbiss">Andrew W. Devilbiss</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Sanalkumar, Rajendran" sort="Sanalkumar, Rajendran" uniqKey="Sanalkumar R" first="Rajendran" last="Sanalkumar">Rajendran Sanalkumar</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Johnson, Kirby D" sort="Johnson, Kirby D" uniqKey="Johnson K" first="Kirby D." last="Johnson">Kirby D. Johnson</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Keles, Sunduz" sort="Keles, Sunduz" uniqKey="Keles S" first="Sunduz" last="Keles">Sunduz Keles</name>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A3">University of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Bresnick, Emery H" sort="Bresnick, Emery H" uniqKey="Bresnick E" first="Emery H." last="Bresnick">Emery H. Bresnick</name>
<affiliation>
<nlm:aff id="A1">University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</nlm:aff>
</affiliation>
<affiliation>
<nlm:aff id="A2">UW-Madison Blood Research Program, Madison, WI 53705</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Experimental hematology</title>
<idno type="ISSN">0301-472X</idno>
<idno type="eISSN">1873-2399</idno>
<imprint>
<date when="2014">2014</date>
</imprint>
</series>
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<front>
<div type="abstract" xml:lang="en">
<p id="P2">Hematopoiesis is an exquisitely regulated process in which stem cells in the developing embryo and the adult generate progenitor cells that give rise to all blood lineages. Master regulatory transcription factors control hematopoiesis by integrating signals from the microenvironment and dynamically establishing and maintaining genetic networks. One of the most rudimentary aspects of cell type-specific transcription factor function, how they occupy a highly restricted cohort of
<italic>cis-</italic>
elements in chromatin remains poorly understood. Transformative technological advances involving the coupling of next-generation DNA sequencing technology with the chromatin immunoprecipitation assay (ChIP-seq) have enabled genome-wide mapping of factor occupancy patterns. However, formidable problems remain, notably ChIP-seq analysis yields hundreds to thousands of chromatin sites occupied by a given transcription factor, and only a fraction of the sites appear to be endowed with critical, non-redundant function. It has become en vogue to map transcription factor occupancy patterns genome-wide, while utilizing powerful statistical tools to establish correlations to inform biology and mechanisms. With the advent of revolutionary genome editing technologies, one can now reach beyond correlations to conduct definitive hypothesis testing. This review will focus on key discoveries that have emerged during the path from single loci to genome-wide analyses, specifically in the context of hematopoietic transcriptional mechanisms.</p>
</div>
</front>
</TEI>
<pmc article-type="research-article">
<pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-journal-id">0402313</journal-id>
<journal-id journal-id-type="pubmed-jr-id">3651</journal-id>
<journal-id journal-id-type="nlm-ta">Exp Hematol</journal-id>
<journal-id journal-id-type="iso-abbrev">Exp. Hematol.</journal-id>
<journal-title-group>
<journal-title>Experimental hematology</journal-title>
</journal-title-group>
<issn pub-type="ppub">0301-472X</issn>
<issn pub-type="epub">1873-2399</issn>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">24816274</article-id>
<article-id pub-id-type="pmc">4125519</article-id>
<article-id pub-id-type="doi">10.1016/j.exphem.2014.05.004</article-id>
<article-id pub-id-type="manuscript">NIHMS603682</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Hematopoietic Transcriptional Mechanisms: From Locus-Specific to Genome-Wide Vantage Points</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>DeVilbiss</surname>
<given-names>Andrew W.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
<xref rid="FN2" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sanalkumar</surname>
<given-names>Rajendran</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
<xref rid="FN2" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Johnson</surname>
<given-names>Kirby D.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Keles</surname>
<given-names>Sunduz</given-names>
</name>
<xref ref-type="aff" rid="A2">2</xref>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bresnick</surname>
<given-names>Emery H.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
<xref ref-type="aff" rid="A2">2</xref>
</contrib>
</contrib-group>
<aff id="A1">
<label>1</label>
University of Wisconsin School of Medicine and Public Health, Department of Cell and Regenerative Biology, Carbone Cancer Center, Madison, WI 53705</aff>
<aff id="A2">
<label>2</label>
UW-Madison Blood Research Program, Madison, WI 53705</aff>
<aff id="A3">
<label>3</label>
University of Wisconsin School of Medicine and Public Health, Department of Biostatistics and Medical Informatics, Madison, WI 53705</aff>
<author-notes>
<corresp id="FN1">Correspondence should be addressed to: E.H.B (
<email>ehbresni@wisc.edu</email>
)</corresp>
<fn id="FN2" fn-type="equal">
<label>*</label>
<p>Equal contribution</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted">
<day>13</day>
<month>6</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>9</day>
<month>5</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="ppub">
<month>8</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>01</day>
<month>8</month>
<year>2015</year>
</pub-date>
<volume>42</volume>
<issue>8</issue>
<fpage>618</fpage>
<lpage>629</lpage>
<pmc-comment>elocation-id from pubmed: 10.1016/j.exphem.2014.05.004</pmc-comment>
<abstract>
<p id="P2">Hematopoiesis is an exquisitely regulated process in which stem cells in the developing embryo and the adult generate progenitor cells that give rise to all blood lineages. Master regulatory transcription factors control hematopoiesis by integrating signals from the microenvironment and dynamically establishing and maintaining genetic networks. One of the most rudimentary aspects of cell type-specific transcription factor function, how they occupy a highly restricted cohort of
<italic>cis-</italic>
elements in chromatin remains poorly understood. Transformative technological advances involving the coupling of next-generation DNA sequencing technology with the chromatin immunoprecipitation assay (ChIP-seq) have enabled genome-wide mapping of factor occupancy patterns. However, formidable problems remain, notably ChIP-seq analysis yields hundreds to thousands of chromatin sites occupied by a given transcription factor, and only a fraction of the sites appear to be endowed with critical, non-redundant function. It has become en vogue to map transcription factor occupancy patterns genome-wide, while utilizing powerful statistical tools to establish correlations to inform biology and mechanisms. With the advent of revolutionary genome editing technologies, one can now reach beyond correlations to conduct definitive hypothesis testing. This review will focus on key discoveries that have emerged during the path from single loci to genome-wide analyses, specifically in the context of hematopoietic transcriptional mechanisms.</p>
</abstract>
</article-meta>
</front>
</pmc>
</record>

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