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accession-icon GSE11386
Gene expression in murine memory versus naive B cells (1st generation and 2nd generation screens)
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Memory B cells play essential roles in the maintenance of long-term immunity and may be important in the pathogenesis of autoimmune disease, but how these cells are distinguished from their nave precursors is poorly understood. To address this, it would be important to understand how gene expression differs between memory and naive B cells in order to elucidate memory-specific functions. Using model systems that help overcome the lack of murine memory-specific markers and the low frequency of antigen-specific memory and nave cells, we undertook a global comparison of gene expression between memory B cells and their naive precursors.

Publication Title

Systematic comparison of gene expression between murine memory and naive B cells demonstrates that memory B cells have unique signaling capabilities.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE51604
Memory B cell subset defined by CD80 and PD-L2 surface expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

NP-reactive murine splenic memory B cells were sorted based on the expression of the surface markers CD80 and PD-L2

Publication Title

CD80 and PD-L2 define functionally distinct memory B cell subsets that are independent of antibody isotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE44260
Murine germinal center and naive B cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expressions of murine germinal center and naive B cells on Affymetrix platform

Publication Title

Multiple transcription factor binding sites predict AID targeting in non-Ig genes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61388
Transcriptomic analysis unveils correlations between regulative apoptotic caspases and genes of cholesterol homeostasis in human brain
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Caspases are cysteine-proteases with key roles in the execution phase of apoptosis. Additional cellular activities, unrelated to cell death seem to be influenced by these enzymes. Identification of genes co-regulated with caspases could help to ascertain new biological roles for these proteases.To identify genes and pathways under the influence of caspase-2 we silenced its expression in U87MG glioblastoma cell line. Transcriptional expression profiles of cells transfected with caspase-2 siRNA or control siRNA were compared.

Publication Title

Transcriptomic analysis unveils correlations between regulative apoptotic caspases and genes of cholesterol homeostasis in human brain.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE12051
Microarray predictor of response to infliximab in rheumatoid arthritis (RA) patients
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

We sought to find a gene-expression multigene predictor of response to infliximab therapy in Rheumatoid Arthritis patients. Using internal and external cross-validation systems we have built and validated an 8-gene predictor for response to infliximab.

Publication Title

An eight-gene blood expression profile predicts the response to infliximab in rheumatoid arthritis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE28260
Renal cortex and medulla microRNA and mRNA expression differences between hypertensive and normotensive patients
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiling reveals renin mRNA overexpression in human hypertensive kidneys and a role for microRNAs.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE21053
mRNA and microRNA expression profile in mouse lung development
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MicroRNA networks in mouse lung organogenesis.

Sample Metadata Fields

Sex

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accession-icon GSE20954
mRNA expression profile in mouse lung development
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We performed miRNA and mRNA profiling over a 7-point time course, encompassing all recognized stages of lung development and explore dynamically regulated miRNAs and potential miRNA-mRNA interaction networks specific to mouse lung development

Publication Title

MicroRNA networks in mouse lung organogenesis.

Sample Metadata Fields

Sex

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accession-icon GSE14889
A caspase-independent necrotic death is activated by isopeptidase inhibitor G5 in apoptosis-resistant glioblastoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The regulation of necrotic death and its relevance in anti-cancer therapy are largely unknown. Here we have investigated the pro-apoptotic and pro-necrotic activities of two ubiquitin-proteasome system inhibitors (UPSIs): bortezomib and G5. The present study points out that the glioblastoma cell lines U87MG and T98G are useful models to study the susceptibility to apoptosis and necrosis in response to UPSIs. U87MG cells are resistant to apoptosis induced by bortezomib and G5 but susceptible to necrosis induced by G5. On the opposite T98G cells are susceptible to apoptosis induced by both inhibitors but show some resistance to G5-induced necrosis. By comparing the transcriptional profiles of the two cell lines, we have found that the resistance to G5-induced necrosis could arise from differences in glutathione synthesis/utilization and in the microenvironment. In particular collagen IV, which is highly expressed in T98G cells, and fibronectin, whose adhesive function is counteracted by tenascin-C in U87MG cells, can restrain the necrotic response to G5. Collectively, our results provide an initial characterization of the molecular signals governing cell death by necrosis in glioblastoma cell lines.

Publication Title

Characterization of caspase-dependent and caspase-independent deaths in glioblastoma cells treated with inhibitors of the ubiquitin-proteasome system.

Sample Metadata Fields

Cell line

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accession-icon GSE13140
Basal and IL-4 response in DAP12 (TYROBP) KO mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

DAP12 is a transmembrane protein, expressed as a disulfide-bonded homodimer and bears an immunoreceptor tyrosine-based activation motif (ITAM). DAP12 is broadly expressed in hematopoietic cells and associates with a variety of cell surface receptors in lymphoid and myeloid cells. Macrophages express several DAP12-associated receptors including triggering receptors expressed by myeloid cells (TREM)-1,2 and 3, myeloid DAP12-associating lectin (MDL)-1, CD200R like proteins CD200R3/R4 and CD300C/D/E .

Publication Title

Essential role of DAP12 signaling in macrophage programming into a fusion-competent state.

Sample Metadata Fields

No sample metadata fields

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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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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