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Article

Predicting the potential ankylosing spondylitis-related genes utilizing bioinformatics approaches.

Rheumatology international - 1 Jun 2015

Zhao Hao, Wang Dan, Fu Deyu, Xue Luan

Abstract excerpt

Given that ankylosing spondylitis (AS) occurs in approximately 5 out of 1,000 adults of European descent and the unclear pathogenesis, the aim of the research was to further predict the molecular mechanism of this disease. The Affymetrix chip data GSE25101 were available from Gene Expression Omnibus database. First of all, differentially expressed genes (DEGs) were identified by Limma package in R. Moreover,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 25432079
DOI: 10.1007/s00296-014-3178-9

Genes

MRPL22
PSMA4
PSMA6
RPL17

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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