A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions

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dc.contributor.author Gabriel, Michael
dc.contributor.author Fey, Vidal
dc.contributor.author Heinosalo, Taija
dc.contributor.author Adhikari, Prem
dc.contributor.author Rytkönen, Kalle
dc.contributor.author Komulainen, Tuomo
dc.contributor.author Huhtinen, Kaisa
dc.contributor.author Laajala, Teemu Daniel
dc.contributor.author Siitari, Harri
dc.contributor.author Virkki, Arho
dc.contributor.author Suvitie, Pia
dc.contributor.author Kujari, Harry
dc.contributor.author Aittokallio, Tero
dc.contributor.author Perheentupa, Antti
dc.contributor.author Poutanen, Matti
dc.date.accessioned 2020-11-10T09:23:01Z
dc.date.available 2020-11-10T09:23:01Z
dc.date.issued 2020-08-28
dc.identifier.citation Gabriel , M , Fey , V , Heinosalo , T , Adhikari , P , Rytkönen , K , Komulainen , T , Huhtinen , K , Laajala , T D , Siitari , H , Virkki , A , Suvitie , P , Kujari , H , Aittokallio , T , Perheentupa , A & Poutanen , M 2020 , ' A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions ' , Scientific data , vol. 7 , 284 . https://doi.org/10.1038/s41597-020-00623-x
dc.identifier.other PURE: 145356307
dc.identifier.other PURE UUID: 01941a77-5929-4753-b690-599d823b846d
dc.identifier.other WOS: 000566956700003
dc.identifier.other ORCID: /0000-0002-0886-9769/work/83435725
dc.identifier.uri http://hdl.handle.net/10138/321238
dc.description.abstract Endometriosis is a common inflammatory estrogen-dependent gynecological disorder, associated with pelvic pain and reduced fertility in women. Several aspects of this disorder and its cellular and molecular etiology remain unresolved. We have analyzed the global gene expression patterns in the endometrium, peritoneum and in endometriosis lesions of endometriosis patients and in the endometrium and peritoneum of healthy women. In this report, we present the EndometDB, an interactive web-based user interface for browsing the gene expression database of collected samples without the need for computational skills. The EndometDB incorporates the expression data from 115 patients and 53 controls, with over 24000 genes and clinical features, such as their age, disease stages, hormonal medication, menstrual cycle phase, and the different endometriosis lesion types. Using the web-tool, the end-user can easily generate various plot outputs and projections, including boxplots, and heatmaps and the generated outputs can be downloaded in pdf-format. en
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartof Scientific data
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject PACKAGE
dc.subject CELLS
dc.subject WOMEN
dc.subject 1184 Genetics, developmental biology, physiology
dc.subject 113 Computer and information sciences
dc.title A relational database to identify differentially expressed genes in the endometrium and endometriosis lesions en
dc.type Article
dc.contributor.organization Institute for Molecular Medicine Finland
dc.contributor.organization University of Helsinki
dc.contributor.organization Helsinki Institute for Information Technology
dc.contributor.organization Tero Aittokallio / Principal Investigator
dc.contributor.organization Bioinformatics
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1038/s41597-020-00623-x
dc.relation.issn 2052-4463
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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