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Insulin-stimulated glucose uptake in recombinant MMP12 treated 3T3-L1 cells

ABSTRACT: Insulin-stimulated glucose uptake in recombinant MMP12 treated 3T3-L1 cells

PROVIDER: PRJNA840936 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR19340500.fastq.gz	Fastqsanger.gz
	SRR19340501.fastq.gz	Fastqsanger.gz
	SRR19340502.fastq.gz	Fastqsanger.gz
	SRR19340503.fastq.gz	Fastqsanger.gz
	SRR19340504.fastq.gz	Fastqsanger.gz

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Insulin-stimulated glucose uptake in recombinant MMP12 treated 3T3-L1 cells

Project description:Microbiota contributes to induction of type 2 diabetes by high-fat/high-sugar (HFHS), but which organs/pathways are impacted by microbiota remains unknown. Using multi-organ network and transkingdom analyses, we found that microbiota-dependent. impairment of OXPHOS /mitochondria in white adipose tissue (WAT) plays a primary role in regulating systemic glucose metabolism. The follow-up analysis established that Mmp12+ macrophages link microbiota-dependent inflammation and OXPHOS damage in WAT. Moreover, the molecular signature of Mmp12+ macrophages in WAT was associated with insulin resistance in obese patients. Next, we tested functional effects of MMP12 and found that Mmp12 genetic deficiency or MMP12 inhibition improved glucose metabolism in conventional, but not in germfree mice. MMP12 treatment induced insulin resistance in adipocytes. TLR2-ligands present in Oscillibacter valericigenes bacteria, which are expanded by HFHS, induce Mmp12 in WAT macrophages in a MYD88-ATF3-dependent manner. Thus, HFHS induces Mmp12+ macrophages and MMP12, representing a microbiota-dependent bridge between inflammation and mitochondrial damage in WAT and causing insulin resistance. doi: https://doi.org/10.1084/jem.20220017

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Real-time quantitative PCR analysis of 3T3-L1 cells treated with Interleukin-15 (IL-15)

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Next Generation Sequencing Facilitates Quantitative Analysis of the control 3T3-L1 (3T3-L1-NC) and LIGHT (tnfsf14) overexpression 3T3-L1 cells (3T3-L1-LIGHT) before and after differentiation into beige adipocytes

Project description:Purpose: The goals of this study are to compare NGS-derived 3T3-L1-NC transcriptome profiling (RNA-seq) to LIGHT overexpression 3T3-L1 cells and find out the DEGs Methods: mRNA profiles of 3T3-L1-NC and 3T3-L1-LIGHT before and after differentiation into beige adipocytes were generated by deep sequencing, in triplicate, using Illumina HiSeq. The sequence reads that passed quality filters were analyzed at the transcript isoform level. Results: Using an optimized data analysis workflow, we mapped about 6.53 Gb data per sample. The average genome mapping rate is 87.27% and the average gene mapping rate is 80.18%. 18,255 genes were identified in which 17,367 of them are known genes and 1,001 of them are novel genes. 13,086 novel transcipts were identified in which 9,304 of them are previously unknown splicing event for known genes, 1,001 of them are novel coding transcripts without any known features, and the remaining 2,781 are long noncoding RNA. Conclusions: Our study represents the first detailed analysis of the impact of LIGHT on gene expression in process of beige adipocytes biogenesis with biologic replicates, generated by RNA-seq technology.

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