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accession-icon GSE15129
Coenzyme Q10-dependent gene expression in SAMP1 mice tissues
  • organism-icon Mus musculus
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon

Description

Our present study reveals significant decelerating effects on senescence processes in middle-aged SAMP1 mice supplemented for 6 or 14 months with the reduced form (QH2, 500 mg/ kg BW/ day) of coenzyme Q10 (CoQ10). To unravel molecular mechanisms of these CoQ10 effects, a genome-wide transcript profiling in liver, heart, brain and kidney of SAMP1 mice supplemented with the reduced (QH2) or oxidized form of CoQ10 (Q10) was performed. Liver seems to be the main target tissue of CoQ10 intervention, followed by kidney, heart and brain. Stringent evaluation of the resulting data revealed that QH2 has a stronger impact on gene expression than Q10, which was primarily due to differences in the bioavailability. Indeed, we found that QH2 supplementation was more effective than Q10 to increase levels of CoQ10 in the liver of SAMP1 mice (54.92-fold and 30.36-fold, respectively). To identify functional and regulatory connections of the top 50 (p < 0.05) up- and down-regulated QH2-sensitive transcripts in liver (fold changes ranging from 21.24 to -6.12), text mining analysis (Genomatix BiblioSphere, GFG level B3) was used. Hereby, we identified 11 QH2-sensitive genes which are regulated by PPAR- and are primarily involved in cholesterol synthesis (e.g. HMGCS1, HMGCL, HMGCR), fat assimilation (FABP5), lipoprotein metabolism (PLTP) and inflammation (STAT-1). Thus, we provide evidence that QH2 is involved in the reduction of fat and cholesterol synthesis via modulation of the PPAR- signalling pathway. These data may explain, at least in part, the observed effects on decelerated age-dependent degeneration processes in QH2-supplemented SAMP1 mice.

Publication Title

Supplementation with the reduced form of Coenzyme Q10 decelerates phenotypic characteristics of senescence and induces a peroxisome proliferator-activated receptor-alpha gene expression signature in SAMP1 mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE103458
Gene expression profiling of murine plasmocytes isolated from the spleen of IL-10eGFP mice infected with Salmonella
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

The goal of this study was to identify the molecular characteristics and putative markers distinguishing IL-10eGFP+CD138hi and IL-10eGFP-CD138hi plasmocytes. To this end, IL-10eGFP B-green mice were challenged intravenously with Salmonella typhimurium (strain SL7207, 10e7 CFU), and IL-10eGFP+CD138hi as well as IL-10eGFP-CD138hi plasmocytes were isolated from the spleen on the next day. For this, single cell suspensions were prepared, cells were treated with Fc block (10 g/ml, anti-CD16/CD32, clone 2.4G2), and then stained with an antibody against CD138 conjugated to PE (1/400; from BD Pharmingen) followed by incubation with anti-PE microbeads (Miltenyi Biotech). CD138+ cells were then enriched on Automacs (Miltenyi Biotech) using the program possel_d2. Cells were then stained with anti-CD19-PerCP, anti-CD138-PE, and antibodies against CD11b, CD11c, and TCR conjugated to APC as a dump channel to exclude possible contaminants. DAPI was added to exclude dead cells. Live IL-10eGFP+CD138hi and IL-10eGFP-CD138hi cells were subsequently isolated on a cell sorter. The purity of the samples was always above 98%. This led to the identification of LAG-3 as a cell surface receptor specifically expressed on IL-10eGFP+CD138hi cells but not on IL-10eGFP-CD138hi cells.

Publication Title

LAG-3 Inhibitory Receptor Expression Identifies Immunosuppressive Natural Regulatory Plasma Cells.

Sample Metadata Fields

Sex, Specimen part

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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