Publication:
Systems biomarkers in psoriasis: Integrative evaluation of computational and experimental data at transcript and protein levels

Simple item page
dc.contributor.authorTURANLI, BESTE
dc.contributor.authorsSevimoglu, Tuba; Turanli, Beste; Bereketoglu, Ceyhun; Arga, Kazim Yalcin; Karadag, Ayse Serap
dc.date.accessioned2022-03-12T22:26:32Z
dc.date.available2022-03-12T22:26:32Z
dc.date.issued2018
dc.description.abstractPsoriasis is a complex autoimmune disease with multiple genes and proteins being involved in its pathogenesis. Despite the efforts performed to understand mechanisms of psoriasis pathogenesis and to identify diagnostic and prognostic targets, disease-specific and effective biomarkers were still not available. This study is compiled regarding clinical validation of computationally proposed biomarkers at gene and protein expression levels through qRT-PCR and ELISA techniques using skin biopsies and blood plasma. We identified several gene and protein clusters as systems biomarkers and presented the importance of gender difference in psoriasis. A gene cluster comprising of P13, IRF9, IFIT1 and NMI were found as positively correlated and differentially co-expressed for women, whereas SUB1 gene was also included in this cluster for men. The differential expressions of IRF9 and NMI in women and SUB1 in men were validated at gene expression level via qRT-PCR. At protein level, PI3 was abundance in disease states of both genders, whereas PC4 protein and WIF1 protein were significantly higher in healthy states than disease states of male group and female group, respectively. Regarding abundancy of PI3 and WIF1 proteins in women, and PI3 and PC4 in men may be assumed as systems biomarkers at protein level.
dc.identifier.doi10.1016/j.gene.2018.01.033
dc.identifier.eissn1879-0038
dc.identifier.issn0378-1119
dc.identifier.pubmed29329927
dc.identifier.urihttps://hdl.handle.net/11424/235080
dc.identifier.wosWOS:000425576500020
dc.language.isoeng
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofGENE
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAutoimmune disease
dc.subjectGene clusters
dc.subjectPsoriasis
dc.subjectSystems biomarkers
dc.subjectSUSCEPTIBILITY LOCUS
dc.subjectINSULIN-RESISTANCE
dc.subjectGENDER-DIFFERENCES
dc.subjectEXPRESSION
dc.subjectNETWORK
dc.subjectCANCER
dc.subjectOMICS
dc.subjectIDENTIFICATION
dc.subjectHORMONES
dc.subjectTARGETS
dc.titleSystems biomarkers in psoriasis: Integrative evaluation of computational and experimental data at transcript and protein levels
dc.typearticle
dspace.entity.typePublication
local.avesis.id5df1b67a-9155-443f-8963-e77b1b415016
local.import.packageSS17
local.indexed.atWOS
local.indexed.atSCOPUS
local.indexed.atPUBMED
local.journal.numberofpages7
local.journal.quartileQ2
oaire.citation.endPage163
oaire.citation.startPage157
oaire.citation.titleGENE
oaire.citation.volume647
relation.isAuthorOfPublication3e8c4f64-93ae-4b42-953c-35c8b07586b3
relation.isAuthorOfPublication.latestForDiscovery3e8c4f64-93ae-4b42-953c-35c8b07586b3

Files

Collections

Research Outputs