Generation of a human iPSC line CIBi008-A from amniotic fluid-derived cells of a fetus with β-thalassemia carrying variants of −28A &gt; G and IVS-II-654C &gt; T in HBB

Wu, Suihan; Wei, Hongjun; Chen, Meng; Weng, Zhanping

doi:10.1016/j.scr.2020.102074

Cited by 2 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is well known that defect of the HBB gene leads to the occurrence of β-thalassemia, and LCE3D is associated with susceptibility to psoriasis. 46 , 47 They may also be important for AD because they could, respectively, interact with S100A7, S100A8, and S100A9 as described above, which may be new perspective to the pathogenesis of AD.…”

Section: Discussionmentioning

confidence: 99%

Identifying the Potential Therapeutic Targets for Atopic Dermatitis Through the Immune Infiltration Analysis and Construction of a ceRNA Network

Peng¹,

Chen²,

Yin³

et al. 2021

CCID

View full text Add to dashboard Cite

Purpose This study was meant to analyze immune infiltration and construct a ceRNA network to explore the new therapeutic targets for atopic dermatitis (AD) through bioinformatics way. Patients and Methods We downloaded the AD patients’ RNA expression profile datasets (GSE63741, GSE124700) from the Gene Expression Omnibus (GEO) database, which were analyzed through the GEO2R. We explored the hub genes by the enrichment analysis and the protein–protein interaction (PPI) analysis. Moreover, we estimated immune cell types and their proportions by ImmucellAI. GSE121212 dataset validation was performed to verify the robustness of the hub genes. Then, a ceRNA network was constructed by the miRWalk, miRNet, miRDB, DIANA, TargetScan, and starbase database. Finally, gene expression analysis was performed by using RT-qPCR. Results In total, we detected 22 differentially expressed genes (DEGs), which contained 8 downregulated genes and 14 upregulated genes. There were 5 hub genes confirmed as key genes through PPI network analysis and the ROC curves. KEGG pathway analysis revealed that they were significantly enriched in the IL-17 signaling pathway and GO analysis showed mainly in the immune cell chemotaxis. The immune infiltration profiles were different between normal controls and AD, and each of the key genes (S100A7, S100A8, S100A9, and LCE3D) was significantly correlated with the main infiltration cell of AD. A lncRNA–miRNA–mRNA ceRNA network containing the key genes was constructed, and NEAT1 and XIST, the core of ceRNA network, were significantly overexpressing verified by RT-qPCR in AD patients. Conclusion Altogether, the key genes and their ceRNA network provided a novel perspective to the immunomodulation of AD, which may be potential and new therapeutic targets for AD.

show abstract

Section: Discussionmentioning

confidence: 99%