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MiRNA profiling in heart tissue of AGAT-/- mice

ABSTRACT: miRNA sequencing was performed in left ventricular heart tissue of wt (n = 5), AGAT-/- (n = 5), and AGAT-/- mice supplemented with homoarginine (n = 5). Small RNA libraries were prepared using TruSeq Small RNA Sample Preparation Kits (Illumina, San Diego, CA, USA) according to the manufacturer’s instructions. The CLC Genomics Workbench (clcbio.com/products/clc-genomics-workbench/) was used to map reads from miRNA sequencing against the murine set of all known miRNAs, which was retrieved from miRBase (www.mirbase.org/). The number of reads falling in mature miRNAs were extracted and further processed in R. Only miRNAs covered by more than ten reads were kept for further analyses. Differential expression of miRNAs between groups of mice was calculated by R/Bioconductor package DESeq2 and the False Discovery Rate (FDR) based Benjamini-Hochberg method was used to account for multiple tests. Differentially expressed miRNAs with an FDR ≤ 0.05 were considered significant.

ORGANISM(S): Mus musculus

PROVIDER: GSE184723 | GEO | 2022/03/09

REPOSITORIES: GEO

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Project description:Purpose: The goal of this study is to identify the miRNA clusters that are regulated by EGFR under normoxia or hypoxia. Method: Total RNAs were extracted from HeLa cells expressing scrambled control or EGFR shRNA-E1 that cultured under normoxia or hypoxia (1% O2) for 24h. Customized Next-Generation RNA deep sequencing, including both small RNA application and whole transcriptome analysis, was performed according to the standard procedure instructed by Applied Biosystems. For small RNA analysis, library inserts were size selected between 18 and 40nts and analyzed using CLC Genomics Workbench 4.7.1. 35nt colorspace reads were trimmed of adaptor sequence and mapped against human pre-miR sequences (miRBase version 16.0). Values of reads per million mapped reads (RPM) were based on mapped reads with no more than 2 mismatches total. A read was considered to come from a mature miRNA if it mapped to pre-miRNA sequences with no more than three upstream or downstream bases, and missing no more than two upstream or downstream bases from predicted mature or mature* sequences as defined in miRBase version 16.0. All the other pre-miRNA mapped reads were assigned as pre-miRNA signal. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Results: Deep sequencing analysis identified specific miRNA clusters that their maturation (miRNA processing efficacy was reflected by the relative expression of precursor miRNAs affected by EGFR compared with the relative expression of mature miRNAs affected by EGFR) were regulated by EGFR under normixa or specifically in response to hypoxia. Top miRNA candidates that regulated by EGFR in response to hypoxia were further verified by TaqMan and SYBR Green qRT-PCR assays. Conclusion: Next-Generation Deep Sequencing for small RNA analysis revealed a novel function of EGFR involved in miRNA maturation in response to hypoxic stress. RNA profiles of HeLa cells expressing scrambled control (S) or EGFR shRNA-E1 (A1) that cultured under normoxia or hypoxia (1% O2) for 24h were generated by AB SOLiD next-generation sequencing. S: HeLa expressing scrambled control cultured under normoxia; A1: HeLa expressing EGFR shRNA-E1 cultured under normoxia; HS: HeLa expressing scrambled control cultured under hypoxia for 24h; HA1: HeLa expressing EGFR shRNA-E1 cultured under hypoxia for 24h. In total, 4 biological samples with no replicates resulted in 4 small RNA profiles.

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MiRNA profiling in heart tissue of AGAT-/- mice

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