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Dataset Information

Long non-coding RNA screening and identification of potential biomarkers for type 2 diabetes.


ABSTRACT:

Background

To investigate new lncRNAs as molecular markers of T2D.

Methods

We used microarrays to identify differentially expressed lncRNAs and mRNAs from five patients with T2D and paired controls. Through bioinformatics analysis, qRT-PCR validation, ELISA, and receiver operating characteristic (ROC) curve analysis of 100 patients with T2D and 100 controls to evaluate the correlation between lncRNAs and T2D, and whether lncRNAs could be used in the diagnosis of T2D patients.

Results

We identified 68 and 74 differentially expressed lncRNAs and mRNAs, respectively. The top five upregulated lncRNAs are ENST00000381108.3, ENST00000515544.1, ENST00000539543.1, ENST00000508174.1, and ENST00000564527.1, and the top five downregulated lncRNAs are TCONS_00017539, ENST00000430

SUBMITTER: Ma Q 

PROVIDER: S-EPMC8993646 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature