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A global analysis on the differential regulation of RNA binding proteins (RBPs) by TNF–α as potential modulators of metabolic syndromes

ABSTRACT: Purpose:Metabolic syndrome (MetS) is associated with a group of conditions including diabetes, obesity, insulin resistance etc. The goal of our study is to identify the differentially regulated genes under metabolic syndromes induced by TNF-α. Methods:A Homosapines Reference based Transcriptome sequencing is performed to understand the genes that are diffrerentially regulated under metabolic synromes with TNF-α as upstream. The HEK293 cells were treated with TNF alpha at 10ng/ml for 6hrs to induce the metabolic disturbances mimicking the metabolic syndromes and untreated HEK 293 cells were considered as control. For the Control set (31 million reads) and TNF-α treated (34 million reads) samples was obtained through the Illumina NextSeq 500 platform and comprised of paired end reads of 76 bp (2X76). FastQC software was used to check the quality of the NextSeq 500 paired end reads and were further processed by in-house script for adapter removal and low quality bases trimming. Tophat-2.02 and Cufflinks-2.1.14 tools were used for the analysis. A two fold change and p-value <0.05 cut-off was used to report the differentially expressed genes (DEGs). Owing to the absence of replicates, no FDR correction was used.For each gene a RPKM (Reads per kilo base per million mapped reads) value was calculated for each gene. Apart from the RPKM value, p-value and a fold change value was also calculated for control and treated samples. The genes were validated using qPCR using using Brilliant Ш Ultra-Fast SYBR green qPCR Master Mix in AriaMx PCR System (Agilent Technologies). Results: Around 6056 and 5495 transcripts were shown as up and down regulated respectively using a twofold change cut-off. On excluding the transcripts with no gene names, the numbers of up and down regulated transcripts were found out to be 4444 (3551 genes) and 4365 (3418 genes) respectively.Among which 1218 genes are unique, and highly significant(based on p-value cut-off) and transcriptionally regulated genes by TNF-α, among which about 15% are RBPs; identified by the EuRBPDB data base. Among these transcriptionally regulated genes, we have identified 204 MetS genes by IPA analysis, more than 10% of which are identified as RBPs. Conclusion: Transcriptional regulation of the MetS genes by TNF-α, which also act as RBPs predicts the existence of feed-forward loops and interconnected pathways, which may influence the onset of MetS at the molecular level.

ORGANISM(S): Homo sapiens

PROVIDER: GSE182259 | GEO | 2022/01/21

REPOSITORIES: GEO

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Project description:Langerhans cells (LCs) are antigen presenting cells residing in the epidermis. Due to the difficulties with obtaining sufficient quantities of LCs for functional studies, many controversies exist about their origin and function. To gain insights into the molecular mechanisms underpinning LC biology and to elucidate how similar they are to a classical tissue resident DCs of myeloid origin, we undertook a whole transcriptome analysis of human skin migratory CD1a+ LCs and CD11c+ DDCs, stimulated with an epidermal pro-inflammatory cytokine, TNF-α over a time course of 24h. RNA was extracted from 250,000 human skin migratory CD1a+ LCs and CD11c+ DDCs stimulated in culture with 25ng/ml of TNF-α for 0, 2, 8 and 24h. RNA concentration and integrity was determined with an Agilent Bioanalyser (RIN of 7.0 or above) and gene expression analysis was carried out using the Human Genome U-219 Affymetrix platform by ARK-Genomics Centre, The Roslin Institute, Edinburgh. Expression data were normalised using the Robust Multichip Average (RMA) package. 2,334 transcripts regulated by exposure of skin DCs to TNF-α were identified with Bayesian Estimation of Temporal Regulation, a cut-off threshold 0.05 , for genes showing ≥ 1.5 fold difference between the maximum gene expression level and time 0 control in log2(x) RMA normalised gene expression. The interactive 3D diagram presenting the transcriptomic networks in human skin DCs can be viewed at: http://www.macrophages.com/LC_vs_DC RNA was extracted from 250,000 human skin migratory CD1a+ LCs and DDCs stimulated in culture with 25ng/ml of TNF-α for 0, 2, 8 and 24h. RNA concentration and integrity was determined with an Agilent Bioanalyser (RIN of 7.0 or above) and gene expression analysis was carried out using the Human Genome U-219 Affymetrix platform by ARK-Genomics Centre, The Roslin Institute, Edinburgh. Expression data were normalised using the Robust Multichip Average (RMA) package. 2,334 transcripts regulated by exposure of skin DCs to TNF-α were identified with Bayesian Estimation of Temporal Regulation, a cut-off threshold 0.05 , for genes showing ≥ 1.5 fold difference between the maximum gene expression level and time 0 control in log2(x) RMA normalised gene expression. *submitter cannot locate the CEL files

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A global analysis on the differential regulation of RNA binding proteins (RBPs) by TNF–α as potential modulators of metabolic syndromes

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