A pre-mRNA Alternative Splicing Program Promotes Adipose Tissue Thermogenesis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA306412 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3031482_1.fastq.gz | Fastqsanger.gz | |||
| SRR3031482_2.fastq.gz | Fastqsanger.gz | |||
| SRR3031483_1.fastq.gz | Fastqsanger.gz | |||
| SRR3031483_2.fastq.gz | Fastqsanger.gz | |||
| SRR3031484_1.fastq.gz | Fastqsanger.gz |
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Project description:Alternative pre-mRNA splicing expands the complexity of the transcriptome and controls isoform-specific gene expression. Whether alternative splicing contributes to metabolic regulation is largely unknown. Here we investigated the contribution of alternative splicing to the development of diet-induced obesity. We found that obesity-induced changes in adipocyte gene expression include alternative pre-mRNA splicing. Bioinformatics analysis associated part of this alternative splicing program with sequence specific NOVA splicing factors. This conclusion was confirmed by studies of mice with NOVA deficiency in adipocytes. Phenotypic analysis of the NOVA-deficient mice demonstrated increased adipose tissue thermogenesis and improved glycemia. We show that NOVA proteins mediate a splicing program that suppresses adipose tissue thermogenesis. Together, these data provide quantitative analysis of gene expression at exon-level resolution in obesity and identify a novel mechanism that contributes to the regulation of adipose tissue function and the maintenance of normal glycemia.
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Project description:This SuperSeries is composed of the SubSeries listed below.
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Project description:Differentiating erythroid cells execute a unique gene expression program that insures synthesis of the appropriate proteome at each stage of maturation. Standard expression microarrays provide important insight into erythroid gene expression, but cannot detect qualitative changes in transcript structure, mediated by RNA processing, that alter structure and function of encoded proteins. We analyzed stage-specific changes in the late erythroid transcriptome via use of high resolution microarrays that detect altered expression of individual exons. Ten differentiation-associated changes in erythroblast splicing patterns were identified, including the previously known activation of protein 4.1R exon 16 splicing. Six new alternative splicing switches involving enhanced inclusion of internal cassette exons were discovered, as well as three changes in use of alternative first exons. All of these erythroid stage-specific splicing events represent activated inclusion of authentic annotated exons, suggesting they represent an active regulatory process rather than a general loss of splicing fidelity. The observation that three of the regulated transcripts encode RNA binding proteins (SNRP70, HNRPLL, MBNL2) may indicate significant changes in the RNA processing machinery of late erythroblasts. Together these results support the existence of a regulated alternative pre-mRNA splicing program that is critical for late erythroid differentiation. Keywords: Time course; Splicing-sensitive microarray For Exon array hybridizations: 3 biological replicates of day 7, 2 biological replicates of day 10, 3 biological replicates of day 14; For HJAY array hybridizations: 5 biological replicates each were analyzed from day 7 and day 14. One day 14 replicate was deemed an outlier and removed from subsequent analyses.
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