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RNA-seq analysis of murine microglial BV2 cells treated with interferon-gamma (IFNγ)

ABSTRACT: RNA-seq analysis of murine microglial BV2 cells treated with interferon-gamma (IFNγ)

PROVIDER: PRJNA548876 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR9302490_1.fastq.gz	Fastqsanger.gz
	SRR9302490_2.fastq.gz	Fastqsanger.gz
	SRR9302500_1.fastq.gz	Fastqsanger.gz
	SRR9302500_2.fastq.gz	Fastqsanger.gz
	SRR9302491_1.fastq.gz	Fastqsanger.gz

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Project description:Rateitschak2012 - Interferon-gamma (IFNγ) induced STAT1 signalling (PC_IFNg100) This model is described in the article: Parameter identifiability and sensitivity analysis predict targets for enhancement of STAT1 activity in pancreatic cancer and stellate cells. Rateitschak K, Winter F, Lange F, Jaster R, Wolkenhauer O. PLoS Comput. Biol. 2012; 8(12): e1002815 Abstract: The present work exemplifies how parameter identifiability analysis can be used to gain insights into differences in experimental systems and how uncertainty in parameter estimates can be handled. The case study, presented here, investigates interferon-gamma (IFNγ) induced STAT1 signalling in two cell types that play a key role in pancreatic cancer development: pancreatic stellate and cancer cells. IFNγ inhibits the growth for both types of cells and may be prototypic of agents that simultaneously hit cancer and stroma cells. We combined time-course experiments with mathematical modelling to focus on the common situation in which variations between profiles of experimental time series, from different cell types, are observed. To understand how biochemical reactions are causing the observed variations, we performed a parameter identifiability analysis. We successfully identified reactions that differ in pancreatic stellate cells and cancer cells, by comparing confidence intervals of parameter value estimates and the variability of model trajectories. Our analysis shows that useful information can also be obtained from nonidentifiable parameters. For the prediction of potential therapeutic targets we studied the consequences of uncertainty in the values of identifiable and nonidentifiable parameters. Interestingly, the sensitivity of model variables is robust against parameter variations and against differences between IFNγ induced STAT1 signalling in pancreatic stellate and cancer cells. This provides the basis for a prediction of therapeutic targets that are valid for both cell types. This model is hosted on BioModels Database and identified by: BIOMD0000000585. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:Murine BV2 microglia cells were transfected either with siRNA negative control or siRNA against caspase-3 for 48h. Later on some the of the BV2 transfected cells were co-cultured with C6 glioma cells during 6h. We used the SA Biosciences Mouse Wound Healing PCR Array (PAMM-121Z) to quantitate gene expression of relevant genes related to the wound healing process Glioma cells recruit and exploit microglia, resident immune cells of the brain, for their proliferation and invasion capability. The underlying molecular mechanism used by glioma cells to transform microglia into a tumor-supporting phenotype remains elusive. Here, we report that glioma-induced microglia conversion is coupled to a reduction of basal microglial caspase-3 activity, increased S-nitrosylation of mitochondria-associated caspase-3 through inhibition of thioredoxin-2 activity, and demonstrate that caspase-3 inhibition regulates microglial tumor-supporting function. Further, we identified nitric oxide synthase-2 (NOS2) activity originating from the glioma cells as a driving stimulus in the control of microglial caspase-3 activity. Repression of glioma NOS2 expression in vivo led to reduction in both microglia recruitment and tumor expansion, whereas depletion of the microglial caspase-3 gene promoted tumor growth. This study provides evidence that the inhibition of Trx2-mediated denitrosylation of SNO-procaspase-3 is part of the microglial pro-tumoral activation pathway initiated by glioma cancer cells. qPCR gene expression profiling. Three independent experiments of siControl BV2 monoculture, siCaspase3 BV2 monoculture, siControl BV2 cocultured 6h with C6 glioma cells and siCaspase3 BV2 cocultured 6h with C6 glioma cells. Equal amount total RNA from each culture was used for the gene expression analysis. Please note that the raw data for three independent experiments (prior to averaging the data) is provided in the 'Raw_Data_File_with_the_Ct_values_for_3_indep_experiments.txt'.

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RNA-seq analysis of murine microglial BV2 cells treated with interferon-gamma (IFNγ)

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