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RNA Sequencing Facilitates Quantitative Analysis of Wild Type and 16p11.2+/- striatum Transcriptomes

ABSTRACT: Purpose: The goals of this study are to find myelination related pathway alteration in 16p11.2+/- mice.

ORGANISM(S): Mus musculus

PROVIDER: GSE179056 | GEO | 2021/06/29

REPOSITORIES: GEO

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Project description:PurposeNext-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived retinal transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT-PCR) methods and to evaluate protocols for optimal high-throughput data analysis.MethodsRetinal mRNA profiles of 21-day-old wild-type (WT) and neural retina leucine zipper knockout (Nrl(-/-)) mice were generated by deep sequencing, in triplicate, using Illumina GAIIx. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows-Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT-PCR validation was performed using TaqMan and SYBR Green assays.ResultsUsing an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts in the retinas of WT and Nrl(-/-) mice with BWA workflow and 34,115 transcripts with TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes, and 12 of these were validated with qRT-PCR. RNA-seq data had a linear relationship with qRT-PCR for more than four orders of magnitude and a goodness of fit (R(2)) of 0.8798. Approximately 10% of the transcripts showed differential expression between the WT and Nrl(-/-) retina, with a fold change ≥1.5 and p value <0.05. Altered expression of 25 genes was confirmed with qRT-PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to retinal function. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling.ConclusionsOur study represents the first detailed analysis of retinal transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

Project description:Background: Chromosomal 16p11.2 deletions and duplications are genomic disorders which are characterized by neurobehavioral abnormalities, obesity, congenital abnormalities and so on. However, the prenatal phenotypes of 16p11.2 copy number variations (CNVs) are still not well described till now. This study aimed to provide an elaborate summary of intrauterine phenotypic features for such genomic disorders. Methods: Twenty prenatal amniotic fluid samples diagnosed with 16p11.2 microdeletions/microduplications were obtained from pregnant women who opted for invasive prenatal testing. Karyotypic analysis and chromosomal microarray analysis (CMA) were performed in parallel. The pregnancy outcomes and health conditions after birth for all cases were followed up. Meanwhile, we made a pooled analysis on the prenatal phenotypes for the published cases carrying 16p11.2 CNVs. Results: 20 fetuses (20/20884, 0.10%) with 16p11.2 CNVs were identified: five 16p11.2 BP2-BP3 deletion, ten 16p11.2 BP4-BP5 deletion and five 16p11.2 BP4-BP5 duplication. Abnormal ultrasound findings were recorded in ten participants with 16p11.2 deletions.Various degrees of intrauterine phenotypic features, ranging from normal to abnormal, were observed. No ultrasound abnormalities were observed for all 16p11.2 duplication cases during the pregnancy period. For 16p11.2 deletions, eleven cases terminated their pregnancies. For 16p11.2 duplications, four cases gave birth to healthy neonates except one was lost to follow up. Conclusions: Diverse prenatal phenotypes were presented in 16p11.2 CNVs, ranging from normal to abnormal. For 16p11.2 BP4-BP5 deletion, the most common structural and non-structural abnormalities were the abnormality of the vertebral column or rib and thickened nuchal translucency, respectively. 16p11.2 BP2-BP3 deletion might be closely associated with fetal growth restriction and single umbilical artery. No representative ultrasound findings for 16p11.2 duplication were observed till now. Considering the variable expressivity and incomplete penetrance of 16p11.2 CNVs, long term follow up after birth should be carried out for these cases. We identified 20 fetuses carrying the 16p11.2 microdeletions and microduplications using chromosomal microarray analysis. And diverse prenatal phenotypes and the critical genes involved in the deleted/duplicated regions were described in this study.

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RNA Sequencing Facilitates Quantitative Analysis of Wild Type and 16p11.2+/- striatum Transcriptomes

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