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


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
01 12 2020
Historique:
received: 05 06 2020
accepted: 28 08 2020
pubmed: 3 9 2020
medline: 2 3 2021
entrez: 3 9 2020
Statut: ppublish

Résumé

To identify the upstream regulators (URs) involved in the onset and pathogenesis of ovarian endometrioma. 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. 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. 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.

Identifiants

pubmed: 32877504
pii: 5900720
doi: 10.1210/clinem/dgaa618
pii:
doi:

Substances chimiques

HOXC8 protein, human 0
Homeodomain Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Endocrine Society 2020. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Yumiko Mihara (Y)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Ryo Maekawa (R)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Shun Sato (S)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Natsuko Shimizu (N)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Yumiko Doi-Tanaka (Y)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Haruka Takagi (H)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Yuichiro Shirafuta (Y)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Masahiro Shinagawa (M)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Isao Tamura (I)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Toshiaki Taketani (T)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Hiroshi Tamura (H)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Takeshi Abe (T)

Department of Systems Bioinformatics, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Yoshiyuki Asai (Y)

Department of Systems Bioinformatics, Yamaguchi University Graduate School of Medicine, Ube, Japan.

Norihiro Sugino (N)

Department of Obstetrics and Gynecology, Yamaguchi University Graduate School of Medicine, Ube, Japan.

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Classifications MeSH