Cargando…
Prediction of crucial epigenetically-associated, differentially expressed genes by integrated bioinformatics analysis and the identification of S100A9 as a novel biomarker in psoriasis
Psoriasis is one of the most common immune-mediated inflammatory diseases of the skin. The identification of the pivotal molecular mechanisms responsible for the disease pathogenesis may lead to the development of novel therapeutic options. The present study aimed to identify pivotal differentially...
Autores principales: | Wang, Xin, Liu, Xinxin, Liu, Nian, Chen, Hongxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889933/ https://www.ncbi.nlm.nih.gov/pubmed/31746348 http://dx.doi.org/10.3892/ijmm.2019.4392 |
Ejemplares similares
-
Bioinformatics Identification of Ferroptosis-Associated Biomarkers and Therapeutic Compounds in Psoriasis
por: Mao, Jingyi, et al.
Publicado: (2022) -
Identification of Chemokines-Related miRNAs as Potential Biomarkers in Psoriasis Based on Integrated Bioinformatics Analysis
por: Zhuang, Haojun, et al.
Publicado: (2023) -
Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis
por: Ma, Xiaoling, et al.
Publicado: (2020) -
Identification of the Crucial Gene in Overflow Arteriovenous Fistula by Bioinformatics Analysis
por: Zhao, Zhengde, et al.
Publicado: (2021) -
Identification of potential crucial genes in atrial fibrillation: a bioinformatic analysis
por: Zhang, Junguo, et al.
Publicado: (2020)