RNA-seq analysis of mRNA profiles in β-Gal-overexpressing, NIK-overexpressing, and NIK(KA)-overexpressing INS-1 832/13 cells
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ABSTRACT: Purpose: The goal of this study is to investigate how NIK regulates islet β-cell function. Methods: mRNA profiles of β-Gal-overexpressing, NIK-overexpressing, and NIK(KA)-overexpressing INS-1 832/13 cells were generated by deep sequencing using an Illumina Hiseq platform. Paired-end clean reads were aligned to the rat reference genome (ftp://ftp.ensembl.org/pub/release-90/fasta/rattus_norvegicus/dna/) with TopHat (version 2.0.12), and the aligned reads were used to quantify mRNA expression by using HTSeq-count (version 0.6.1). Conclusion: Our study represents the first detailed analysis of mRNA profiles in NIK-overexpressing and NIK(KA)-overexpressing INS-1 832/13 cells, generated by RNA-seq technology. Our results show that 471 genes were upregulated and 249 genes were downregulated following NIK overexpression. GO analysis indicated that the upregulated genes were primarily related to the immune response. KEGG pathway enrichment analysis showed that immune signaling pathways, including the TNF, NF-κB, antigen processing and presentation signaling pathways, were significantly activated by NIK overexpression in INS-1 832/13 cells, whereas genes related to insulin secretion and regulation of secretion were significantly decreased. NIK(KA), the dominant-negative mutant of NIK, does not induce the expression of genes related to immune response in INS-1 832/13 cells.
Project description:Purpose: The goal of this study is to determine the molecular mechanisms involved in the NIK regulation of α cell function. Methods: mRNA profiles of β-Gal control, NIK, and NIK(KA) overexpressed αTC1-6 cells were generated by deep sequencing using an Illumina Hiseq platform. Paired-end clean reads were aligned to the mouse reference genome(Ensemble_GRCm38.89) with TopHat (version 2.0.12), and the aligned reads were used to quantify mRNA expression by using HTSeq-count (version 0.6.1). Conclusion: Our study represents the first detailed analysis of NIK-overexpressing aTC1-6 cell transcriptomes, generated by RNA-seq technology. Our results show that 328 genes were upregulated and 48 genes were downregulated following NIK overexpression. GO analysis indicated that the upregulated genes were primarily related to the immune response. KEGG pathway enrichment analysis showed that immune signaling pathways, including the TNF, NF-κB, and chemokine signaling pathways, were significantly activated by NIK overexpression in aTC1-6 cells, while genes related to metabolism-associated signal pathways were significantly decreased. NIK(KA), the dominant-negative mutant of NIK, does not affect gene expression in aTC1-6 cells.
Project description:Analysis of differentially expressed genes in MCF7 cancer cells transfected with an expression vector containing the ORF of NIK, a shRNA of NIK and a control shRNA. Transient transfections were performed in triplicates . We use micorarrays to elucidate the machanisms by which NIK regulates stem cells biology
Project description:To generate an efficient defense against begomovirus, we modulated the activity of the immune defense receptor NIK (NSP-Interacting Kinase) in tomato plants; NIK is a virulence target of the begomovirus NSP during infection. Replacing threonine-474 with aspartate (T474D) within the kinase activation loop promoted the constitutive activation of NIK-mediated defenses. This activation resulted in the down-regulation of translation-related genes and the suppression of global translation in T474D-overexpressing tomato lines. We also found that T474D-induced defense-related transcripts were associated with polysomes and immune proteins, which accumulated to detectable levels in T474D leaves. Consistent with these findings, T474D transgenic lines were tolerant to the tomato-infecting begomoviruses ToYSV and ToSRV. We propose that NIK mediates an anti-viral response via translation suppression and immune system induction. Global variation on gene expression induced by NIK expression and virus infection using total RNA from mock-inoculated and ToYSV-infected tomato wild-type plants, mock-inoculated and infected 35S::NIK1-4 overexpressing lines and mock-inoculated and infected 35S::T474D overexpressing lines. File map_itag23.csv correlates the ITAG 2.3 cDNA ID with the 21 bp reads in file Profiles_with_differential_expressions.csv.
Project description:Our findings establish NIK as a pivotal regulator of T cell metabolism in anti-tumor immunity and highlight a posttranslational mechanism of metabolic regulation involving the G6PD-NADPH redox system. CoIP assays revealed a strong physical interaction between NIK and G6PD in both T cells and transiently transfected 293 cells, suggesting G6PD to be a direct target of NIK. Using a phosphoprotein gel analysis approach, we demonstrated that NIK expression stimulated G6PD phosphorylation. To further study the mechanism, we performed mass spectrometry identify phosphorylation sites of G6PD stimulated by NIK
Project description:Purpose: The goal of this study is to investigate how HuR regulates hepatocyte death. Methods: mRNA profiles of β-Gal-overexpressing, and HuR-overexpressing primary hepatocytes were generated by deep sequencing using an Illumina HiseqX platform. Paired-end clean reads were aligned to the mouse reference genome(Ensemble_GRCm38.83) with TopHat (version 2.0.12), and the aligned reads were used to quantify mRNA expression by using HTSeq-count (version 0.6.1). Conclusion: Our study represents the first detailed analysis of mRNA profiles in HuR-overexpressing primary hepatocytes, generated by RNA-seq technology. Our results show that 258 genes were upregulated and 357 genes were downregulated following HuR overexpression. GO analysis indicated that the upregulated genes were primarily related to cell death, death, apoptotic process, programmed cell death and intrinsic apoptotic signaling pathway. These data indicate that upregulation of HuR leads to hepatocyte death.
Project description:We have developed a strategy for the detailed structural characterization of complex proteoglycan-derived glycosaminoglycans. Chondroitin/dermatan sulfate isolated from rat INS-1 832/13 insulinoma cells known to produce primarily one proteoglycan was used to evaluate and demonstrate the efficacy of the strategy.
Project description:The aim of this study was to identify the gene expression changes associated with glucose responsiveness in Rat INS-1 derived cell lines. RNA was prepared from cell lines which were shown to be highly glucose responsive and also lines which were shown to be poorly glucose responsive. Dr. Chris Newgard's lab quantified the RNA and sent it frozen in water. 3 biological replicates per condition were sent for the following conditions: (i) 832/13 and 833/15, robust glucose responsiveness; (ii)832/1 and 832/2 showed poor glucose responsiveness.
Project description:Purpose: The goal of this study is to investigate how Purβ regulates hepatic glucose production in primary hepatocytes. Methods: mRNA profiles of Purβ-overexpressing, and Purβ-knocking down hepatocytes were generated by deep sequencing using an Illumina NovaSeq 6000 platform. Paired-end clean reads were aligned to the mouse reference genome(Ensemble_GRCm38.96) with TopHat (version 2.0.12), and the aligned reads were used to quantify mRNA expression by using HTSeq-count (version 0.6.1). Conclusion: Our study represents the first detailed analysis of mRNA profiles in Purβ-overexpressing, and Purβ-knocking down hepatocytes, generated by RNA-seq technology. Our results identified Adcy6 was a target of Purβ. RNA-seq analysis showed that Purβ overexpression increased Adcy6 expression, whereas Purβ knockdown decreased Adcy6 expression.