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accession-icon GSE110548
Exon expression profiling of de novo diffuse large B-cell lymphoma samples
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Exon expression profiling was performed on 37 clinical DLBCL samples and subsequently analyzed using alternative splice analysis of vairance (asANOVA) implemented in Partek Genomics Suite in order to identify alternative spliced genes.

Publication Title

Expression of NOTCH3 exon 16 differentiates Diffuse Large B-cell Lymphoma into molecular subtypes and is associated with prognosis.

Sample Metadata Fields

Treatment

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accession-icon GSE18460
Lactobacillus acidophilus induces virus immune defense genes in murine dendritic cells by a TLR-2 dependent mechanism
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Lactobacilli are probiotics that, among other health promoting effects, have been ascribed immunostimulating and virus preventive properties. Certain lactobacilli species have been shown to possess strong IL-12 inducing properties. As IL-12 production depends on the up-regulation of type I interferons, we hypothesized that the strong IL-12 inducing capacity of L. acidophilus NCFM in murine bone marrow derived DC is caused by an up-regulation of IFN-, which subsequently stimulates the induction of IL-12 and the dsRNA binding toll like receptor (TLR)-3. The expression of the genes encoding IFN-, IL-12, IL-10 and TLR-3 in DC upon stimulation with L. acidophilus NCFM was measured. L. acidophilus NCFM induced a much stronger expression of ifn-, il-12 and il-10 compared to the synthetic dsRNA ligand Poly I:C, whereas the levels of expressed tlr-3 were similar. By the use of whole genome microarray gene expression, we investigated whether other genes related to the viral defence were up-regulated in DC upon stimulation with L. acidophilus NCFM and found that various virus defence related genes, both early and late, were among the strongest up-regulated genes. The IFN- stimulating capability was also detected in another L. acidophilus strain, but was not a property of other probiotic bacteria tested (B. bifidum and E. coli nissle).The IFN- inducing capacity was markedly reduced in TLR-2 -/- DCs, dependent on endocytosis and the major cause of the induction of il-12 and tlr-3 in L. acidophilus NCFM stimulated cells. Collectively, our results reveal that certain lactobacilli trigger the expression of viral defence genes in DC in a TLR-2 manner through induction of IFN- .

Publication Title

Lactobacillus acidophilus induces virus immune defence genes in murine dendritic cells by a Toll-like receptor-2-dependent mechanism.

Sample Metadata Fields

Treatment, Time

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accession-icon SRP101985
Temperature adaptation effects on BAT metabolism in BAT specific Akt2 knockout mice
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We are reporting here the effects of adaptation to different ambient temperatures in the whole genome gene expression of interscapular BAT of BAT specific Akt2 knockout mice Overall design: Wildtype littermates and brown fat specific Akt2 KO mice (using UCP1-CreER) in B6/J background were adapted to 2 different ambient temperatures (30ºC, 22ºC) for a period of 4 weeks.

Publication Title

Brown Fat AKT2 Is a Cold-Induced Kinase that Stimulates ChREBP-Mediated De Novo Lipogenesis to Optimize Fuel Storage and Thermogenesis.

Sample Metadata Fields

Age, Specimen part, Cell line, Treatment, Subject

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accession-icon SRP101986
Temperature adaptation effects on BAT metabolism
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We are reporting here the effects of adaptation to different ambient temperatures in the whole genome gene expression of interscapular BAT Overall design: B6/J mice were adapted to three different ambient temperatures (30ºC, 22ºC and 6ºC) for a period of 4 weeks.

Publication Title

Brown Fat AKT2 Is a Cold-Induced Kinase that Stimulates ChREBP-Mediated De Novo Lipogenesis to Optimize Fuel Storage and Thermogenesis.

Sample Metadata Fields

Age, Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE13760
Gene expression profiling in arterial tissue from type 2 diabetic patients
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene expression profiling in arterial tissue from type 2 diabetic patients

Publication Title

Fibulin-1 is a marker for arterial extracellular matrix alterations in type 2 diabetes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE99636
Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_20.0 (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE107843
Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow III
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Todays diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), nave (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e06 and OS, P=1.06e11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.

Publication Title

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE99634
Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow I
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: huex10st_Hs_ENSG_20.0 (huex10st)

Description

Todays diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), nave (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e06 and OS, P=1.06e11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.

Publication Title

A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.

Sample Metadata Fields

Disease

View Samples
accession-icon SRP070793
Transcriptome analysis of aging mouse meibomian glands
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-sequencing of young and old mouse eyelids identified a number of signaling pathways, including FGF and Wnt that were altered in meibomian glands and conjunctiva of aging mice. Overall design: RNA isolated from frozen eyelid tissue excised from young and old mice was sequenced using an Illumina HiSeq 2500.

Publication Title

Transcriptome analysis of aging mouse meibomian glands.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon SRP081553
Characterization of genetic loss-of-function of Fus in zebrafish
  • organism-icon Danio rerio
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The RNA-binding protein FUS is implicated in transcription, alternative splicing of neuronal genes and DNA repair. Mutations in FUS have been linked to human neurodegenerative diseases such as ALS (amyotrophic lateral sclerosis). We genetically disrupted fus in zebrafish (Danio rerio) using the CRISPR-Cas9 system. The fus knockout animals are fertile and did not show any distinctive phenotype. Mutation of fus induces mild changes in gene expression on the transcriptome and proteome level in the adult brain. We observed a significant influence of genetic background on gene expression and 3’UTR usage, which could mask the effects of loss of Fus. Unlike published fus morphants, maternal zygotic fus mutants do not show motoneuronal degeneration and exhibit normal locomotor activity. Overall design: We performed paired-end sequencing (100bp reads) of the polyA+ transcriptome from brains of five individuals with Fus-/- genotype and four with Fus wild type genotype. Note on RNA-Seq replicates: after performing first RNA sequencing on four replicates of Fus-/- and WT (labeled with the prefix "Sample_imb_ketting_2014_13_") we received a notice from Illumina stating a problem with the library preparation kit lot that was used to prepare the libraries. Due to that, we performed RNA sequencing a second time, using the same input RNA, except for the Fus knockout replicate #3, because there was not enough input RNA left. Instead, a different Fus knockout replicate (#1) was sequenced. However, we compared the mapped reads from sequencing run 1 and sequencing run 2 using plotCorrelaction from DeepTools, and the samples are highly correlated (at least 0.97 and 0.95, Spearman and Pearson correlation respectively). Therefore, we considered first ("Sample_imb_ketting_2014_13_") and second sequencing runs as technical replicates.

Publication Title

Characterization of genetic loss-of-function of Fus in zebrafish.

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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