Transcriptomics

Dataset Information

0

Increased expression of LOC100506314 in T cells from patients with vitiligo and contributed to the pathogenesis of vitiligo


ABSTRACT: The aim of this study was to investigate the differential expression of long non-coding RNAs (lncRNAs) in T cells from patients with vitiligo and their roles in the pathogenesis of vitiligo. The expression profiles of the RNA transcripts in T cells from three patients with vitiligo and three controls were conducted using microarray analysis. These aberrantly-expressed genes were further validated using T cells from 41 patients with vitiligo and 28 controls. The biologic function of the specific lncRNAs was investigated using transfection, RNA pull-down assay plus proteomic approach and Western blotting. As the results, the expression levels of 134 genes, were significantly increased, whereas the expression levels 142 genes were significantly decreased in T cells from patients with vitiligo compared with the controls. After selection and validation, the expression levels of 11 genes increased and two genes decreased in T cells from patients with vitiligo. We confirmed that LOC100506314 could interact with the signal transducer and activator of transcription 3 (STAT3) and macrophage migration inhibitory factor (MIF). The transfection of LOC100506314 could suppress STAT3, AKT, and ERK phosphorylation and nuclear protein levels of p65. Finally, overexpressed LOC100506314 decreased the T cell expression of IL-6 and IL-17. In conclusion, among the lncRNAs, we found that the expression levels of LOC100506314 were increased in T cells from patients with vitiligo. LOC100506314 could bind to STAT3 and MIF and suppress the expression of IL-6 and IL-17 through the inhibition of the STAT3, AKT, ERK, and NF-κB pathway. Increased the expression of LOC100506314 in T cells could be a potential therapeutic strategy for vitiligo.

ORGANISM(S): Homo sapiens

PROVIDER: GSE205751 | GEO | 2023/09/27

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2021-11-04 | GSE186928 | GEO
2015-10-01 | E-GEOD-65127 | biostudies-arrayexpress
2016-04-08 | GSE80009 | GEO
2013-12-12 | E-GEOD-53146 | biostudies-arrayexpress
2015-10-01 | GSE65127 | GEO
| PRJNA847448 | ENA
2023-11-07 | GSE231794 | GEO
2016-11-01 | GSE75819 | GEO
2013-12-12 | E-GEOD-53147 | biostudies-arrayexpress
2015-02-05 | E-GEOD-52798 | biostudies-arrayexpress