Circulating miRNome profiling data in Behçet's syndrome

Giacomo Bagni; Giacomo Emmi; Elena Lastraioli; Francesca Di Patti; Elena Silvestri; Angela Guerriero; Serena Pillozzi; Elena Niccolai; Amedeo Amedei; Lorenzo Emmi; Domenico Prisco; Annarosa Arcangeli

doi:10.1016/j.dib.2021.107435

Circulating miRNome profiling data in Behçet's syndrome

Data Brief. 2021 Sep 28:38:107435. doi: 10.1016/j.dib.2021.107435. eCollection 2021 Oct.

Authors

Giacomo Bagni¹, Giacomo Emmi^{1

2}, Elena Lastraioli¹, Francesca Di Patti^{3

4}, Elena Silvestri², Angela Guerriero¹, Serena Pillozzi¹, Elena Niccolai¹, Amedeo Amedei^{1

2}, Lorenzo Emmi⁵, Domenico Prisco¹, Annarosa Arcangeli^{1

4}

Affiliations

¹ Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.
² SOD Interdisciplinary Internal Medicine-Behçet Center and Lupus Clinic-Azienda Ospedaliero Universitaria Careggi, Florence, Italy.
³ Department of Physics, University of Florence, Sesto Fiorentino, Florence, Italy.
⁴ Center for the Study of Complex Dynamics (CSDC), Sesto Fiorentino, Florence, Italy.
⁵ Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.

Abstract

We conducted a screening analysis to assess the presence of a characteristic extracellular circulating microRNAs (ci-miRNAs) profile in Behçet's syndrome (BS). Total RNA was extracted from platelets-free plasma (PFP) samples obtained from 16 BS patients and 18 healthy controls. Ci-miRNAs profiling was conducted by using dedicated Agilent microarray hybridization and data extraction technology. Statistical analysis of data extracted from microarray scanning revealed the deregulation of 36 ci-miRNAs, which turned out be differentially expressed between BS patients and healthy controls. Detailed experimental methods and data analysis were described here. The raw and normalized microarray data were deposited into Gene Expression Omnibus (GEO) under accession number GSE145191.

Keywords: Behçet; Biomarker; Circulating miRNAs; Microarray; microRNA.