Transcriptome of insulin signalling associated transcription factor targets
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA764580 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15970086.fastq.gz | Fastqsanger.gz | |||
| SRR15970087.fastq.gz | Fastqsanger.gz | |||
| SRR15970088.fastq.gz | Fastqsanger.gz | |||
| SRR15970089.fastq.gz | Fastqsanger.gz | |||
| SRR15970090.fastq.gz | Fastqsanger.gz |
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Project description:Insulin and insulin-like growth factor signalling regulates a broad spectrum of growth and metabolic responses to a variety of internal and environmental stimuli. Such responses can be tailored so that changes in insulin signalling result in distinct physiological responses to different stimuli. For example, the inhibition of insulin-like signalling is key in the responses of the nematode C. elegans to both osmotic stress and starvation, but these two stresses result in responses that are both physiologically and molecularly distinct. How does reduced insulin-like signalling elicit different responses to different environmental stimuli? We report that neurohormonal signalling involving the C. elegans cytosolic sulfotransferase SSU-1 controls developmental arrest in response to osmotic stress but does not control the distinct developmental arrest that occurs in response to starvation. SSU-1 functions in a single pair of sensory neurons to control intercellular signalling -- likely by catalyzing the synthesis of a steroid hormone -- via the nuclear hormone receptor NHR-1. SSU-1-controlled signalling antagonizes insulin-like signalling and hence modulates insulin sensitivity. In short, we describe a previously unknown neurohormonal signalling pathway that is required specifically for some but not all consequences of reduced insulin-like signalling. In mammals, the nervous system plays a similarly important yet poorly understood role in modulating insulin sensitivity. Our results suggest that the mammalian nervous system might regulate insulin sensitivity via sulfotransferase-controlled neurohormonal signalling.
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Project description:G4C2 repeat expansions within the C9orf72 gene are the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). The repeats undergo repeat-associated non-ATG translation to generate toxic dipeptide repeat proteins. Here, we show that insulin/Igf signalling is reduced in fly models of C9orf72 repeat expansion using RNA-sequencing of adult brain. We further demonstrate that activation of insulin/Igf signalling can mitigate multiple neurodegenerative phenotypes in flies expressing either expanded G4C2 repeats or the toxic dipeptide repeat protein poly-GR. Levels of poly-GR are reduced when components of the insulin/Igf signalling pathway are genetically activated in the diseased flies, suggesting a mechanism of rescue. Modulating insulin signalling in mammalian cells also lowers poly-GR levels. Remarkably, systemic injection of insulin improves the survival of flies expressing G4C2 repeats. Overall, our data suggest that modulation of insulin/Igf signalling could be an effective therapeutic approach against C9orf72 ALS/FTD.
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Project description:Insulin resistance, the defective regulation of glucose metabolism by insulin, increases the risk of type 2 diabetes and cardiovascular disease. It is not yet known how insulin resistance remodels signalling networks in human tissues. Here, we define the signalling architecture of insulin resistance in skeletal muscle. We measured phenotypes and phosphoproteomes of insulin resistant and insulin sensitive subjects as they responded to exercise and an insulin infusion, quantifying more than 26,000 phosphosites in 114 skeletal muscle biopsies. Incorporating a temporal component to personalised phosphoproteomics identified signalling linked with the range of insulin sensitivity across the participants.
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Project description:Purpose. Insulin resistant muscle is resistant to gene expression changes induced by acute exercise. This study was undertaken to identify transcription factors that differentially respond to exercise in insulin resistance. Candidate transcription factors were identified from analysis of 5’-untranslated regions (5’-UTRs) of exercise responsive genes and from analysis of the 5’-UTRs of genes coding for proteins that differ in abundance in insulin resistance. Research design and methods. Muscle biopsies were obtained from lean and obese subjects before and after a single exercise bout. Euglycemic glucose clamps assessed insulin sensitivity. Global proteomics analysis identified differentially abundant proteins. The 5’-UTRs of genes coding for significant proteins were subjected to transcription factor enrichment analysis to identify candidate transcription factors. Q-rt-PCR to determine expression of candidate transcription factors was performed on RNA from resting and post-exercise muscle biopsies; immunoblots quantified protein abundance. Results. Obese subjects were insulin resistant compared to lean but performed exercise at the same intensity. Proteins involved in mitochondrial function, protein targeting and translation, and metabolism were among those significantly different between the groups. Transcription factor enrichment analysis of genes coding for these proteins revealed new candidate transcription factors. Q-rt-PCR analysis of RNA and immunoblot analysis from pre- and post-exercise muscle biopsies revealed several transcription and growth factors that had altered responses to exercise in insulin resistant subjects. Conclusions. These results confirm findings of an association between insulin sensitivity and transcription factor mRNA response to exercise and extend these results to show that obesity also may be a sufficient prerequisite for exercise resistance. Analysis of the muscle proteome together with determination of effects of exercise on expression of transcription factors suggests that abnormal responses of transcription factors to exercise may be responsible for differences in protein abundances in insulin resistant muscle.
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Project description:Oncogenic PIK3CA corrupts growth factor signalling specificity
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