An Integrated Genomic Approach Identifies HOXC8 as an Upstream Regulator in Ovarian Endometrioma

Abstract Purpose To identify the upstream regulators (URs) involved in the onset and pathogenesis of ovarian endometrioma. Methods Recently, a method called Significance-based Modules Integrating the Transcriptome and Epigenome (SMITE) that uses transcriptome data in combination with publicly availa...

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Veröffentlicht in:The journal of clinical endocrinology and metabolism 2020-12, Vol.105 (12), p.1-e4489, Article 618
Hauptverfasser: Mihara, Yumiko, Maekawa, Ryo, Sato, Shun, Shimizu, Natsuko, Doi-Tanaka, Yumiko, Takagi, Haruka, Shirafuta, Yuichiro, Shinagawa, Masahiro, Tamura, Isao, Taketani, Toshiaki, Tamura, Hiroshi, Abe, Takeshi, Asai, Yoshiyuki, Sugino, Norihiro
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container_issue 12
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container_title The journal of clinical endocrinology and metabolism
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creator Mihara, Yumiko
Maekawa, Ryo
Sato, Shun
Shimizu, Natsuko
Doi-Tanaka, Yumiko
Takagi, Haruka
Shirafuta, Yuichiro
Shinagawa, Masahiro
Tamura, Isao
Taketani, Toshiaki
Tamura, Hiroshi
Abe, Takeshi
Asai, Yoshiyuki
Sugino, Norihiro
description Abstract Purpose To identify the upstream regulators (URs) involved in the onset and pathogenesis of ovarian endometrioma. Methods Recently, a method called Significance-based Modules Integrating the Transcriptome and Epigenome (SMITE) that uses transcriptome data in combination with publicly available data for identifying URs of cellular processes has been developed. Here, we used SMITE with transcriptome data from ovarian endometrioma stromal cells (ovESCs) and eutopic endometrium stromal cells (euESCs) in combination with publicly available gene regulatory network data. To confirm the URs identified by SMITE, we developed a Boolean network simulation to see if correcting aberrant expressions of the identified genes could restore the entire gene expression profile of ovESCs to a profile similar to that of euESCs. We then established euESCs overexpressing the identified gene and characterized them by cell function assays and transcriptome analysis. Results SMITE identified 12 potential URs in ovarian endometrioma that were confirmed by the Boolean simulation. One of the URs, HOXC8, was confirmed to be overexpressed in ovESCs. HOXC8 overexpression significantly enhanced cell proliferation, migration, adhesion, and fibrotic activities, and altered expression statuses of the genes involved in transforming growth factor (TGF)-β signaling. HOXC8 overexpression also increased the expression levels of phosphorylated SMAD2/SMAD3. The increased adhesion and fibrosis activities by HOXC8 were significantly inhibited by E-616452, a selective inhibitor of TGF-β receptor type I kinases. Main conclusions Integrated genomic approaches identified HOXC8 as an UR in ovarian endometrioma. The pathological features of ovarian endometrioma including cell proliferation, adhesion, and fibrosis were induced by HOXC8 and its subsequent activation of TGF-β signaling.
doi_str_mv 10.1210/clinem/dgaa618
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Methods Recently, a method called Significance-based Modules Integrating the Transcriptome and Epigenome (SMITE) that uses transcriptome data in combination with publicly available data for identifying URs of cellular processes has been developed. Here, we used SMITE with transcriptome data from ovarian endometrioma stromal cells (ovESCs) and eutopic endometrium stromal cells (euESCs) in combination with publicly available gene regulatory network data. To confirm the URs identified by SMITE, we developed a Boolean network simulation to see if correcting aberrant expressions of the identified genes could restore the entire gene expression profile of ovESCs to a profile similar to that of euESCs. We then established euESCs overexpressing the identified gene and characterized them by cell function assays and transcriptome analysis. Results SMITE identified 12 potential URs in ovarian endometrioma that were confirmed by the Boolean simulation. One of the URs, HOXC8, was confirmed to be overexpressed in ovESCs. HOXC8 overexpression significantly enhanced cell proliferation, migration, adhesion, and fibrotic activities, and altered expression statuses of the genes involved in transforming growth factor (TGF)-β signaling. HOXC8 overexpression also increased the expression levels of phosphorylated SMAD2/SMAD3. The increased adhesion and fibrosis activities by HOXC8 were significantly inhibited by E-616452, a selective inhibitor of TGF-β receptor type I kinases. Main conclusions Integrated genomic approaches identified HOXC8 as an UR in ovarian endometrioma. The pathological features of ovarian endometrioma including cell proliferation, adhesion, and fibrosis were induced by HOXC8 and its subsequent activation of TGF-β signaling.</description><identifier>ISSN: 0021-972X</identifier><identifier>EISSN: 1945-7197</identifier><identifier>DOI: 10.1210/clinem/dgaa618</identifier><identifier>PMID: 32877504</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adult ; Boolean ; Cell growth ; Cell migration ; Cell Movement - genetics ; Cell proliferation ; Cells, Cultured ; Development and progression ; Endocrinology &amp; Metabolism ; Endometriosis ; Endometriosis - genetics ; Endometriosis - pathology ; Endometrium ; Epigenome ; Female ; Fibrosis ; Gene expression ; Gene Expression Regulation ; Gene Regulatory Networks ; Genetic aspects ; Genomics - methods ; Health aspects ; Homeodomain Proteins - genetics ; Homeodomain Proteins - physiology ; Humans ; Identification and classification ; Kinases ; Life Sciences &amp; Biomedicine ; Middle Aged ; Ovarian Diseases - genetics ; Ovarian Diseases - pathology ; Ovaries ; Science &amp; Technology ; Smad2 protein ; Smad3 protein ; Stromal cells ; Systems Integration ; Transcription factors ; Transcriptome</subject><ispartof>The journal of clinical endocrinology and metabolism, 2020-12, Vol.105 (12), p.1-e4489, Article 618</ispartof><rights>Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2020</rights><rights>Copyright © Oxford University Press 2015</rights><rights>Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>COPYRIGHT 2020 Oxford University Press</rights><rights>Endocrine Society 2020. All rights reserved. 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Methods Recently, a method called Significance-based Modules Integrating the Transcriptome and Epigenome (SMITE) that uses transcriptome data in combination with publicly available data for identifying URs of cellular processes has been developed. Here, we used SMITE with transcriptome data from ovarian endometrioma stromal cells (ovESCs) and eutopic endometrium stromal cells (euESCs) in combination with publicly available gene regulatory network data. To confirm the URs identified by SMITE, we developed a Boolean network simulation to see if correcting aberrant expressions of the identified genes could restore the entire gene expression profile of ovESCs to a profile similar to that of euESCs. We then established euESCs overexpressing the identified gene and characterized them by cell function assays and transcriptome analysis. Results SMITE identified 12 potential URs in ovarian endometrioma that were confirmed by the Boolean simulation. One of the URs, HOXC8, was confirmed to be overexpressed in ovESCs. HOXC8 overexpression significantly enhanced cell proliferation, migration, adhesion, and fibrotic activities, and altered expression statuses of the genes involved in transforming growth factor (TGF)-β signaling. HOXC8 overexpression also increased the expression levels of phosphorylated SMAD2/SMAD3. The increased adhesion and fibrosis activities by HOXC8 were significantly inhibited by E-616452, a selective inhibitor of TGF-β receptor type I kinases. Main conclusions Integrated genomic approaches identified HOXC8 as an UR in ovarian endometrioma. 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Biomedicine</subject><subject>Middle Aged</subject><subject>Ovarian Diseases - genetics</subject><subject>Ovarian Diseases - pathology</subject><subject>Ovaries</subject><subject>Science &amp; Technology</subject><subject>Smad2 protein</subject><subject>Smad3 protein</subject><subject>Stromal cells</subject><subject>Systems Integration</subject><subject>Transcription factors</subject><subject>Transcriptome</subject><issn>0021-972X</issn><issn>1945-7197</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqNkd1rFDEUxQdR7Fp99VECvlhk23zNJPO4LP1YKCyIhb6NdzJ3dlNnkjXJWPzvTdm1glSUPNyQ-zuXc3OK4i2jp4wzemYG63A86zYAFdPPihmrZTlXrFbPixmlnM1rxW-Pilcx3lHKpCzFy-JIcK1USeWs-LJwZOUSbgIk7MglOj9aQxa7XfBgtmTVoUu2txjJ1fp2qQlEAo7c7GIKCCP5hJtpgOQDsY6sv0OwuXvuOj9iCtaP8Lp40cMQ8c2hHhc3F-efl1fz6_Xlarm4nptSCT1HwVUngfdCAaAxAjnrRPZeQ9UyyiuqW9nSjooaaIkM2x5oja2oWFVWeavj4sN-bjb-bcKYmtFGg8MADv0UGy5FXSvFuc7o-z_QOz8Fl91lSjEqqKzFb2oDAzbW9T4FMA9Dm0VV1lrIqpKZOn2CyqfD_I_eYW_z-1MCE3yMAftmF-wI4UfDaPMQabOPtDlEmgXvDm6ndsTuEf-VYQb0HrjH1vfRWHQGHzFKaallKZXON6mXNkGy3i395FKWfvx_aab5gfZDwhC_DtM9hmaLMKTt3-2f7EV-2v1r1Z_n7Nxs</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Mihara, Yumiko</creator><creator>Maekawa, Ryo</creator><creator>Sato, Shun</creator><creator>Shimizu, Natsuko</creator><creator>Doi-Tanaka, Yumiko</creator><creator>Takagi, Haruka</creator><creator>Shirafuta, Yuichiro</creator><creator>Shinagawa, Masahiro</creator><creator>Tamura, Isao</creator><creator>Taketani, Toshiaki</creator><creator>Tamura, Hiroshi</creator><creator>Abe, Takeshi</creator><creator>Asai, Yoshiyuki</creator><creator>Sugino, Norihiro</creator><general>Oxford University Press</general><general>Copyright Oxford University Press</general><general>Endocrine Soc</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><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>7QP</scope><scope>7T5</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0923-376X</orcidid><orcidid>https://orcid.org/0000-0002-7074-4561</orcidid></search><sort><creationdate>20201201</creationdate><title>An Integrated Genomic Approach Identifies HOXC8 as an Upstream Regulator in Ovarian Endometrioma</title><author>Mihara, Yumiko ; Maekawa, Ryo ; Sato, Shun ; Shimizu, Natsuko ; Doi-Tanaka, Yumiko ; Takagi, Haruka ; Shirafuta, Yuichiro ; Shinagawa, Masahiro ; Tamura, Isao ; Taketani, Toshiaki ; Tamura, Hiroshi ; Abe, Takeshi ; Asai, Yoshiyuki ; Sugino, Norihiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5738-e327d4a2f37aaecc3e21d39729a6b102608b4b0d039a05e1ebfa09eb361656453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Boolean</topic><topic>Cell growth</topic><topic>Cell migration</topic><topic>Cell Movement - genetics</topic><topic>Cell proliferation</topic><topic>Cells, Cultured</topic><topic>Development and progression</topic><topic>Endocrinology &amp; Metabolism</topic><topic>Endometriosis</topic><topic>Endometriosis - genetics</topic><topic>Endometriosis - pathology</topic><topic>Endometrium</topic><topic>Epigenome</topic><topic>Female</topic><topic>Fibrosis</topic><topic>Gene expression</topic><topic>Gene Expression Regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genetic aspects</topic><topic>Genomics - methods</topic><topic>Health aspects</topic><topic>Homeodomain Proteins - genetics</topic><topic>Homeodomain Proteins - physiology</topic><topic>Humans</topic><topic>Identification and classification</topic><topic>Kinases</topic><topic>Life Sciences &amp; 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Methods Recently, a method called Significance-based Modules Integrating the Transcriptome and Epigenome (SMITE) that uses transcriptome data in combination with publicly available data for identifying URs of cellular processes has been developed. Here, we used SMITE with transcriptome data from ovarian endometrioma stromal cells (ovESCs) and eutopic endometrium stromal cells (euESCs) in combination with publicly available gene regulatory network data. To confirm the URs identified by SMITE, we developed a Boolean network simulation to see if correcting aberrant expressions of the identified genes could restore the entire gene expression profile of ovESCs to a profile similar to that of euESCs. We then established euESCs overexpressing the identified gene and characterized them by cell function assays and transcriptome analysis. Results SMITE identified 12 potential URs in ovarian endometrioma that were confirmed by the Boolean simulation. One of the URs, HOXC8, was confirmed to be overexpressed in ovESCs. HOXC8 overexpression significantly enhanced cell proliferation, migration, adhesion, and fibrotic activities, and altered expression statuses of the genes involved in transforming growth factor (TGF)-β signaling. HOXC8 overexpression also increased the expression levels of phosphorylated SMAD2/SMAD3. The increased adhesion and fibrosis activities by HOXC8 were significantly inhibited by E-616452, a selective inhibitor of TGF-β receptor type I kinases. Main conclusions Integrated genomic approaches identified HOXC8 as an UR in ovarian endometrioma. The pathological features of ovarian endometrioma including cell proliferation, adhesion, and fibrosis were induced by HOXC8 and its subsequent activation of TGF-β signaling.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>32877504</pmid><doi>10.1210/clinem/dgaa618</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-0923-376X</orcidid><orcidid>https://orcid.org/0000-0002-7074-4561</orcidid><oa>free_for_read</oa></addata></record>
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1945-7197
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source ProQuest One Community College; MEDLINE; ProQuest Central (Alumni Edition); Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current); ProQuest Central UK/Ireland; Alma/SFX Local Collection; ProQuest Central
subjects Adult
Boolean
Cell growth
Cell migration
Cell Movement - genetics
Cell proliferation
Cells, Cultured
Development and progression
Endocrinology & Metabolism
Endometriosis
Endometriosis - genetics
Endometriosis - pathology
Endometrium
Epigenome
Female
Fibrosis
Gene expression
Gene Expression Regulation
Gene Regulatory Networks
Genetic aspects
Genomics - methods
Health aspects
Homeodomain Proteins - genetics
Homeodomain Proteins - physiology
Humans
Identification and classification
Kinases
Life Sciences & Biomedicine
Middle Aged
Ovarian Diseases - genetics
Ovarian Diseases - pathology
Ovaries
Science & Technology
Smad2 protein
Smad3 protein
Stromal cells
Systems Integration
Transcription factors
Transcriptome
title An Integrated Genomic Approach Identifies HOXC8 as an Upstream Regulator in Ovarian Endometrioma
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