Sequence features that drive human promoter function and tissue specificity
Promoters are important regulatory elements that contain the necessary sequence features for cells to initiate transcription. To functionally characterize a large set of human promoters, we measured the transcriptional activities of 4575 putative promoters across eight cell lines using transient tra...
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Veröffentlicht in: | Genome research 2010-07, Vol.20 (7), p.890-898 |
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description | Promoters are important regulatory elements that contain the necessary sequence features for cells to initiate transcription. To functionally characterize a large set of human promoters, we measured the transcriptional activities of 4575 putative promoters across eight cell lines using transient transfection reporter assays. In parallel, we measured gene expression in the same cell lines and observed a significant correlation between promoter activity and endogenous gene expression (r = 0.43). As transient transfection assays directly measure the promoting effect of a defined fragment of DNA sequence, decoupled from epigenetic, chromatin, or long-range regulatory effects, we sought to predict whether a promoter was active using sequence features alone. CG dinucleotide content was highly predictive of ubiquitous promoter activity, necessitating the separation of promoters into two groups: high CG promoters, mostly ubiquitously active, and low CG promoters, mostly cell line-specific. Computational models trained on the binding potential of transcriptional factor (TF) binding motifs could predict promoter activities in both high and low CG groups: average area under the receiver operating characteristic curve (AUC) of the models was 91% and exceeded the AUC of CG content by an average of 23%. Known relationships, for example, between HNF4A and hepatocytes, were recapitulated in the corresponding cell lines, in this case the liver-derived cell line HepG2. Half of the associations between tissue-specific TFs and cell line-specific promoters were new. Our study underscores the importance of collecting functional information from complementary assays and conditions to understand biology in a systematic framework. |
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To functionally characterize a large set of human promoters, we measured the transcriptional activities of 4575 putative promoters across eight cell lines using transient transfection reporter assays. In parallel, we measured gene expression in the same cell lines and observed a significant correlation between promoter activity and endogenous gene expression (r = 0.43). As transient transfection assays directly measure the promoting effect of a defined fragment of DNA sequence, decoupled from epigenetic, chromatin, or long-range regulatory effects, we sought to predict whether a promoter was active using sequence features alone. CG dinucleotide content was highly predictive of ubiquitous promoter activity, necessitating the separation of promoters into two groups: high CG promoters, mostly ubiquitously active, and low CG promoters, mostly cell line-specific. Computational models trained on the binding potential of transcriptional factor (TF) binding motifs could predict promoter activities in both high and low CG groups: average area under the receiver operating characteristic curve (AUC) of the models was 91% and exceeded the AUC of CG content by an average of 23%. Known relationships, for example, between HNF4A and hepatocytes, were recapitulated in the corresponding cell lines, in this case the liver-derived cell line HepG2. Half of the associations between tissue-specific TFs and cell line-specific promoters were new. Our study underscores the importance of collecting functional information from complementary assays and conditions to understand biology in a systematic framework.</description><identifier>ISSN: 1088-9051</identifier><identifier>EISSN: 1549-5469</identifier><identifier>DOI: 10.1101/gr.100370.109</identifier><identifier>PMID: 20501695</identifier><language>eng</language><publisher>United States: Cold Spring Harbor Laboratory Press</publisher><subject>Base Composition - physiology ; Base Sequence - physiology ; Binding Sites - genetics ; Cell Line ; Computational Biology - methods ; Epigenesis, Genetic - physiology ; Gene Expression - genetics ; Gene Expression - physiology ; Hep G2 Cells ; Hepatocyte Nuclear Factor 4 - genetics ; Humans ; Organ Specificity - genetics ; Promoter Regions, Genetic - genetics ; Promoter Regions, Genetic - physiology ; Protein Binding ; Transcription, Genetic ; Transfection</subject><ispartof>Genome research, 2010-07, Vol.20 (7), p.890-898</ispartof><rights>Copyright © 2010 by Cold Spring Harbor Laboratory Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-4855526f8f50d0b0ad061c81541b719e21ce22e7def2b445fda3ead47425e8dd3</citedby><cites>FETCH-LOGICAL-c386t-4855526f8f50d0b0ad061c81541b719e21ce22e7def2b445fda3ead47425e8dd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2892090/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2892090/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20501695$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Landolin, Jane M</creatorcontrib><creatorcontrib>Johnson, David S</creatorcontrib><creatorcontrib>Trinklein, Nathan D</creatorcontrib><creatorcontrib>Aldred, Shelly F</creatorcontrib><creatorcontrib>Medina, Catherine</creatorcontrib><creatorcontrib>Shulha, Hennady</creatorcontrib><creatorcontrib>Weng, Zhiping</creatorcontrib><creatorcontrib>Myers, Richard M</creatorcontrib><title>Sequence features that drive human promoter function and tissue specificity</title><title>Genome research</title><addtitle>Genome Res</addtitle><description>Promoters are important regulatory elements that contain the necessary sequence features for cells to initiate transcription. To functionally characterize a large set of human promoters, we measured the transcriptional activities of 4575 putative promoters across eight cell lines using transient transfection reporter assays. In parallel, we measured gene expression in the same cell lines and observed a significant correlation between promoter activity and endogenous gene expression (r = 0.43). As transient transfection assays directly measure the promoting effect of a defined fragment of DNA sequence, decoupled from epigenetic, chromatin, or long-range regulatory effects, we sought to predict whether a promoter was active using sequence features alone. CG dinucleotide content was highly predictive of ubiquitous promoter activity, necessitating the separation of promoters into two groups: high CG promoters, mostly ubiquitously active, and low CG promoters, mostly cell line-specific. Computational models trained on the binding potential of transcriptional factor (TF) binding motifs could predict promoter activities in both high and low CG groups: average area under the receiver operating characteristic curve (AUC) of the models was 91% and exceeded the AUC of CG content by an average of 23%. Known relationships, for example, between HNF4A and hepatocytes, were recapitulated in the corresponding cell lines, in this case the liver-derived cell line HepG2. Half of the associations between tissue-specific TFs and cell line-specific promoters were new. Our study underscores the importance of collecting functional information from complementary assays and conditions to understand biology in a systematic framework.</description><subject>Base Composition - physiology</subject><subject>Base Sequence - physiology</subject><subject>Binding Sites - genetics</subject><subject>Cell Line</subject><subject>Computational Biology - methods</subject><subject>Epigenesis, Genetic - physiology</subject><subject>Gene Expression - genetics</subject><subject>Gene Expression - physiology</subject><subject>Hep G2 Cells</subject><subject>Hepatocyte Nuclear Factor 4 - genetics</subject><subject>Humans</subject><subject>Organ Specificity - genetics</subject><subject>Promoter Regions, Genetic - genetics</subject><subject>Promoter Regions, Genetic - physiology</subject><subject>Protein Binding</subject><subject>Transcription, Genetic</subject><subject>Transfection</subject><issn>1088-9051</issn><issn>1549-5469</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkM1LxDAQxYMofh-9Sm6eqpO0aZOLIOIXCh7Uc8gmk93Itl2TVPC_N7IqepoZ5sebN4-QIwanjAE7m8dTBlB3ZQS1QXaZaFQlmlZtlh6krBQItkP2UnqFwjVSbpMdDgJYq8QuuX_CtwkHi9SjyVPERPPCZOpieEe6mHoz0FUc-zFjpH4abA7jQM3gaA4pTUjTCm3wwYb8cUC2vFkmPPyu--Tl-ur58rZ6eLy5u7x4qGwt21w1UgjBWy-9AAczMA5aZmUxzmYdU8iZRc6xc-j5rGmEd6ZG45qu4QKlc_U-OV_rrqZZj87ikKNZ6lUMvYkfejRB_98MYaHn47vmUnFQUAROvgXiWL5PWfchWVwuzYDjlHRX1y1vmaoLWa1JG8eUIvrfKwz0V_56HvU6_1JU4Y__WvulfwKvPwFvPYLl</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Landolin, Jane M</creator><creator>Johnson, David S</creator><creator>Trinklein, Nathan D</creator><creator>Aldred, Shelly F</creator><creator>Medina, Catherine</creator><creator>Shulha, Hennady</creator><creator>Weng, Zhiping</creator><creator>Myers, Richard M</creator><general>Cold Spring Harbor Laboratory Press</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>201007</creationdate><title>Sequence features that drive human promoter function and tissue specificity</title><author>Landolin, Jane M ; 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To functionally characterize a large set of human promoters, we measured the transcriptional activities of 4575 putative promoters across eight cell lines using transient transfection reporter assays. In parallel, we measured gene expression in the same cell lines and observed a significant correlation between promoter activity and endogenous gene expression (r = 0.43). As transient transfection assays directly measure the promoting effect of a defined fragment of DNA sequence, decoupled from epigenetic, chromatin, or long-range regulatory effects, we sought to predict whether a promoter was active using sequence features alone. CG dinucleotide content was highly predictive of ubiquitous promoter activity, necessitating the separation of promoters into two groups: high CG promoters, mostly ubiquitously active, and low CG promoters, mostly cell line-specific. Computational models trained on the binding potential of transcriptional factor (TF) binding motifs could predict promoter activities in both high and low CG groups: average area under the receiver operating characteristic curve (AUC) of the models was 91% and exceeded the AUC of CG content by an average of 23%. Known relationships, for example, between HNF4A and hepatocytes, were recapitulated in the corresponding cell lines, in this case the liver-derived cell line HepG2. Half of the associations between tissue-specific TFs and cell line-specific promoters were new. Our study underscores the importance of collecting functional information from complementary assays and conditions to understand biology in a systematic framework.</abstract><cop>United States</cop><pub>Cold Spring Harbor Laboratory Press</pub><pmid>20501695</pmid><doi>10.1101/gr.100370.109</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Base Composition - physiology Base Sequence - physiology Binding Sites - genetics Cell Line Computational Biology - methods Epigenesis, Genetic - physiology Gene Expression - genetics Gene Expression - physiology Hep G2 Cells Hepatocyte Nuclear Factor 4 - genetics Humans Organ Specificity - genetics Promoter Regions, Genetic - genetics Promoter Regions, Genetic - physiology Protein Binding Transcription, Genetic Transfection |
title | Sequence features that drive human promoter function and tissue specificity |
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