Aging Overview

Aging gene

Gene name: SIRT1
Aging type: Prevent
Aging characteristic:
Tissue type: --
Cell name: VSMC
Gene ID: 23411
Category: protein coding
Phenotype: Diabetes
Experimental category: L
PMID: 30696833
Experiment: SA-β-gal activity assay//Western blot//qRT-PCR
Description: Senescence was evident at day 4 with an inverse correlation (p < 0.0359) (r2 = 0.2469) between SIRT1 levels and the presence of senescent cells.Furthermore, there was a significant increase in the level of cellular senescence under osteogenic conditions compared to untreated control cells (p < 0.0417), and a further increase in the numbers of SA-βgal positive cells when exposed to hyperglycaemic osteogenic conditions, compared to the osteogenic conditions (p < 0.0094).Upstream of p21, p53 mRNA was also increased in all treatments where SIRT1 is inhibited (p < 0.0232).


Regulatory relationship

Regulatory pathway: RUNX2
R-AG-Pathway: Downregulation
Official symbol(s): RUNX2
Pathway experiment: ChIP//Western blot//qRT-PCR
Pathway description: The acetylation profile of the RUNX2 promotor was measured via ChIP qPCR. RUNX2 promotor acetylation was significantly reduced in the hyperglycaemic conditions with the addition of SRT1720, suggesting a decrease in RUNX2 transcription was a direct result of SIRT1 activation . Furthermore, SRT1720 activation of SIRT1 activity resulted in a reduction in RUNX2 mRNA under osteogenic conditions, with a further significant reduction in RUNX2 expression under hyperglycaemic conditions (p < 0.0231), compared to the untreated cells. The decrease in RUNX2 mRNA expression after SIRT1 activation correlates with a decrease in RUNX2 protein expression in both osteogenic and hyperglycaemic conditions at day 4. Conversely, RUNX2 protein was increased following inhibition of SIRT1.


Aging network

Annotation:

The green line represents Upregulation.

The purple line represents Downregulation.

The orange line represents Activation.

The yellow line represents Inhibition.

The gray line represents Unclear.



About risk SNP and eQTL

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