Transcriptome landscape of the human placenta

<p>Abstract</p> <p>Background</p> <p>The placenta is a key component in understanding the physiological processes involved in pregnancy. Characterizing genes critical for placental function can serve as a basis for identifying mechanisms underlying both normal and patho...

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Main Authors: Kim Jinsil, Zhao Keyan, Jiang Peng, Lu Zhi-xiang, Wang Jinkai, Murray Jeffrey C, Xing Yi
Format: Article
Language:English
Published: BMC 2012-03-01
Series:BMC Genomics
Subjects:
Online Access:http://www.biomedcentral.com/1471-2164/13/115
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author Kim Jinsil
Zhao Keyan
Jiang Peng
Lu Zhi-xiang
Wang Jinkai
Murray Jeffrey C
Xing Yi
author_facet Kim Jinsil
Zhao Keyan
Jiang Peng
Lu Zhi-xiang
Wang Jinkai
Murray Jeffrey C
Xing Yi
author_sort Kim Jinsil
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>The placenta is a key component in understanding the physiological processes involved in pregnancy. Characterizing genes critical for placental function can serve as a basis for identifying mechanisms underlying both normal and pathologic pregnancies. Detailing the placental tissue transcriptome could provide a valuable resource for genomic studies related to placental disease.</p> <p>Results</p> <p>We have conducted a deep RNA sequencing (RNA-Seq) study on three tissue components (amnion, chorion, and decidua) of 5 human placentas from normal term pregnancies. We compared the placental RNA-Seq data to that of 16 other human tissues and observed a wide spectrum of transcriptome differences both between placenta and other human tissues and between distinct compartments of the placenta. Exon-level analysis of the RNA-Seq data revealed a large number of exons with differential splicing activities between placenta and other tissues, and 79% (27 out of 34) of the events selected for RT-PCR test were validated. The master splicing regulator <it>ESRP1 </it>is expressed at a proportionately higher level in amnion compared to all other analyzed human tissues, and there is a significant enrichment of ESRP1-regulated exons with tissue-specific splicing activities in amnion. This suggests an important role of alternative splicing in regulating gene function and activity in specific placental compartments. Importantly, genes with differential expression or splicing in the placenta are significantly enriched for genes implicated in placental abnormalities and preterm birth. In addition, we identified 604-1007 novel transcripts and 494-585 novel exons expressed in each of the three placental compartments.</p> <p>Conclusions</p> <p>Our data demonstrate unique aspects of gene expression and splicing in placental tissues that provide a basis for disease investigation related to disruption of these mechanisms. These data are publicly available providing the community with a rich resource for placental physiology and disease-related studies.</p>
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spelling doaj.art-b2036fe76bc64d47aae06f0fec5f9ba92022-12-21T19:40:11ZengBMCBMC Genomics1471-21642012-03-0113111510.1186/1471-2164-13-115Transcriptome landscape of the human placentaKim JinsilZhao KeyanJiang PengLu Zhi-xiangWang JinkaiMurray Jeffrey CXing Yi<p>Abstract</p> <p>Background</p> <p>The placenta is a key component in understanding the physiological processes involved in pregnancy. Characterizing genes critical for placental function can serve as a basis for identifying mechanisms underlying both normal and pathologic pregnancies. Detailing the placental tissue transcriptome could provide a valuable resource for genomic studies related to placental disease.</p> <p>Results</p> <p>We have conducted a deep RNA sequencing (RNA-Seq) study on three tissue components (amnion, chorion, and decidua) of 5 human placentas from normal term pregnancies. We compared the placental RNA-Seq data to that of 16 other human tissues and observed a wide spectrum of transcriptome differences both between placenta and other human tissues and between distinct compartments of the placenta. Exon-level analysis of the RNA-Seq data revealed a large number of exons with differential splicing activities between placenta and other tissues, and 79% (27 out of 34) of the events selected for RT-PCR test were validated. The master splicing regulator <it>ESRP1 </it>is expressed at a proportionately higher level in amnion compared to all other analyzed human tissues, and there is a significant enrichment of ESRP1-regulated exons with tissue-specific splicing activities in amnion. This suggests an important role of alternative splicing in regulating gene function and activity in specific placental compartments. Importantly, genes with differential expression or splicing in the placenta are significantly enriched for genes implicated in placental abnormalities and preterm birth. In addition, we identified 604-1007 novel transcripts and 494-585 novel exons expressed in each of the three placental compartments.</p> <p>Conclusions</p> <p>Our data demonstrate unique aspects of gene expression and splicing in placental tissues that provide a basis for disease investigation related to disruption of these mechanisms. These data are publicly available providing the community with a rich resource for placental physiology and disease-related studies.</p>http://www.biomedcentral.com/1471-2164/13/115PlacentaAmnionChorionDeciduaRNA-SeqTranscriptomeAlternative splicingFunctional interaction networkNovel transcriptional active region
spellingShingle Kim Jinsil
Zhao Keyan
Jiang Peng
Lu Zhi-xiang
Wang Jinkai
Murray Jeffrey C
Xing Yi
Transcriptome landscape of the human placenta
BMC Genomics
Placenta
Amnion
Chorion
Decidua
RNA-Seq
Transcriptome
Alternative splicing
Functional interaction network
Novel transcriptional active region
title Transcriptome landscape of the human placenta
title_full Transcriptome landscape of the human placenta
title_fullStr Transcriptome landscape of the human placenta
title_full_unstemmed Transcriptome landscape of the human placenta
title_short Transcriptome landscape of the human placenta
title_sort transcriptome landscape of the human placenta
topic Placenta
Amnion
Chorion
Decidua
RNA-Seq
Transcriptome
Alternative splicing
Functional interaction network
Novel transcriptional active region
url http://www.biomedcentral.com/1471-2164/13/115
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