Effect of LMP7 and MECL1-immunoproteasome subunits deficiency on the transcriptome of mouse bone marrow-derived dendritic cells
Transcriptomics Dataset
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General Information
AccessionGSE52616
TitleEffect of LMP7 and MECL1-immunoproteasome subunits deficiency on the transcriptome of mouse bone marrow-derived dendritic cells
DescriptionAs regulators of protein degradation, proteasomes regulate practically all cellular functions. It is therefore logical to assume that replacement of the constitutive proteasome (CP) by its IFN- inducible homolog immunoproteasome (IP) could have far reaching effects on cell function. Accordingly, recent studies have revealed important roles for IPs in immune cells beyond MHC I-peptide processing. Moreover, the expression of IPs in non-immune cells from non-inflamed tissues suggests that the involvement of IPs is not limited to the immune system. We demonstrate here that IP-deficiency affects the transcription of 8104 genes in maturing dendritic cells (DCs). This occurs mainly through non-redundant regulation of key immune-related transcription factors by CPs and IPs. Additionally, IP-deficiency decreases DC's efficiency to activate CD8+ T cells in vivo. Our study reveals that the broad cellular roles of IPs could rely on transcription regulation and, more importantly, illustrates how IP-deficiency could generate MHC I-peptide processing-independent phenotypes.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE52616
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Interactive heatmap visualization of RNA-seq dataset GSE52616
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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