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RNA Sequencing analyses of control and HuD KO (Elavl4 null) mouse cortical transcriptomes

ABSTRACT: Purpose: The goal of this study was to analyse RNA-seq data to determine the effect of deletion of the RNA-binding protein HuD in transcriptiome-wide alternative splicing and polyadenylation in the neocortex of adult HuD KO vs. wild type littermates (controls) Methods: Cortical mRNA profiles of adult HuD KO (Elavl4 -/-) mice and Control mice were generated by RNA sequencing, in triplicate, using Illumina NovaSeq 6000 platform. The quality of raw RNA-sequencing reads was evaluated using FastQC software (version 0.11.5) and adapters were removed using the Cutadapt (version 1.15) and Trimmomatic (version 0.38) software. Alternative splicing was evaluated using rMATS software (version 4.0.2) and BAM files were converted to BedGraph before examining alternative polyadenylation using DaPars software (version 0.9.1) Methods (cont.): RNA-seq data was aligned to the M musculus genome (UCSC browser, mm10) using STAR (version 2.7.3a), and MultiQC (version 1.8) was used to perform a final quality check on STAR alignment files. If alignments were found to be the same read length and have >80% reads mapped to a unique location, the data was considered good quality and alternative splicing and polyadenylation analyses were performed. Sequence reads per sample were aligned to the mouse genome (build mm10). Results: HuD KO affected alternative splicing of 310 genes, including 17 validated HuD targets such as Cbx3, Cspp1, Snap25 and Gria2. In addition, deletion of HuD affected polyadenylation of 53 genes, with the majority of significantly altered mRNAs shifting towards usage of the proximal polyadenylation signal (PAS), resulting in shorter 3’ untranslated regions (3’ UTRs). Conclusions: HuD KO had a greater effect on alternative splicing than polyadenylation, with many of the affected genes implicated in several neuronal functions and neuropsychiatric disorders.

ORGANISM(S): Mus musculus

PROVIDER: GSE169023 | GEO | 2021/03/17

REPOSITORIES: GEO

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Project description:Purpose: This study aimed to identify differentially expressed genes including alternative splice variants in embryonic ventricles following in utero caffeine treatment. Methods: Pregnant CD-1 mice were injected with 20 mg/kg of caffeine or vehicle control daily from embryonic day (E) 6.5-9.5. On E10.5, total RNA was isolated from embryonic ventricles and used for transcriptomic RNA sequencing with Illumina HiSeq 2000 (1X75bp). RNA-seq reads were aligned to the mouse genome (build mm10) with the Tophat for Illumina tool in the PSU galaxy platform. Counting and annotation of RNA-seq reads as well as alternative splicing analysis were performed with Partek Genomics Suite version 6.11. Differential expression of gene and transcript reads between treatments was analyzed with R package EdgeR. Genes/transcripts with false discovery rate (FDR) less than 0.05 and absolute fold change greater than 1.5 were considered as significant. Differentially expressed genes were defined as genes with altered expression at either gene or transcript level. Unique differentially expressed genes were identified by combining the results from annotations with the RefSeq Transcripts (2013-05-10) or Ensembl Transcripts release 71 databases. Results: Differential expression analysis revealed that 59 genes and 451 transcripts were significantly up-regulated, and 65 genes and 398 transcripts were down-regulated by prenatal caffeine treatment (fold change >1.5 or <-1.5; p-value with FDR<0.05). In total, 900 unique genes were identified to have altered expression either at the gene or transcription level. Further analysis with Partek GS revealed that 183 genes had abnormal alternative splicing at the exon level after in utero caffeine treatment. Conclusions: In utero caffeine exposure caused gene expression changes in embryonic ventricles and these changes may lead to long-term effects on cardiac morphology and function. mRNA profiles in E10.5 heart ventricles treated with caffeine were generated by deep sequencing (n=2 for vehicle, n=3 for caffeine), using Illumina HiSeq 2000.

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RNA Sequencing analyses of control and HuD KO (Elavl4 null) mouse cortical transcriptomes

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