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accession-icon GSE92680
Expression data from CD4+ T cells isolated from inguinal lymph nodes 7 days post MOG immunization
  • organism-icon Rattus norvegicus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

We isolated CD4+ T cells from draining lymph nodes 7 days post EAE from

Publication Title

Functional genomics analysis of vitamin D effects on CD4+ T cells in vivo in experimental autoimmune encephalomyelitis ‬.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE41762
Expression data from human pancreatic islets
  • organism-icon Homo sapiens
  • sample-icon 76 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A gene co-expression network analysis has been conducted to identify T2D-associated gene modules. Donors 1-48 were used for the initial analysis and donors 49-80 for the replication and were normalized separately in this study

Publication Title

Secreted frizzled-related protein 4 reduces insulin secretion and is overexpressed in type 2 diabetes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE51869
Expression data from mesenchymal stromal cells isolated from the umbilical cord tissue (UCX) and cultivated in ATMP-compatible media
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Standardization of MSC manufacturing is urgently needed to facilitate comparison of clinical trial results. Here, we compare gene expression of MSC generated by the adaptation of a proprietary method for isolation and cultivation of a specific umbilical cord tissue-derived population of Mesenchymal Stromal Cells (MSCs)

Publication Title

Towards an advanced therapy medicinal product based on mesenchymal stromal cells isolated from the umbilical cord tissue: quality and safety data.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72151
Transcriptome analysis of Largemyd and Dmdmdx/Largemyd muscles in comparison to Dmdmdx: what make them different?
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptome analysis of hindlimb muscles from dystrophic mice

Publication Title

Comparative transcriptome analysis of muscular dystrophy models Large(myd), Dmd(mdx)/Large(myd) and Dmd(mdx): what makes them different?

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP162288
Genetic control of cellular morphogenesis in Müller glia
  • organism-icon Danio rerio
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

How the various cell-types of the body achieve their specific shapes is fundamentally unknown. Here, we explore this issue by identifying genes involved in the elaboration of the complex, yet conserved, cellular morphology of Müller glial (MG) cells in the retina. Using genomic based strategies in zebrafish, we found more than 40 candidate genes involved in specific aspects of MG morphogenesis. The successive steps of cell morphogenesis correlate with the timing of the expression of cohorts of inter-related genes that have roles in generating the particular anatomical features of these cells, suggesting that a sequence of genetic regulomes govern stepwise cellular morphogenesis in this system. Overall design: 12 samples with three replicates each are provided. GFAP:GFP positive and negative cells were FAC sorted from wild type animals from each developmental stage

Publication Title

Genetic control of cellular morphogenesis in Müller glia.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE27541
Transcriptional responses to glucose in Saccharomyces cerevisiae strains lacking a functional protein kinase A
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The pattern of gene transcription in Saccharomyces cerevisiae is strongly affected by the presence of glucose. An increased activity of protein kinase A (PKA), triggered by a rise in the intracellular concentration of cAMP, can account for many of the effects of glucose on transcription. To investigate the requirement of PKA for glucose control of gene expression, we have analyzed global transcription in strains devoid of PKA activity. In S. cerevisiae three genes, TPK1, TPK2, TPK3, encode catalytic subunits of PKA and the triple mutant tpk1 tpk2 tpk3 is unviable. We have worked, therefore, with two strains, tpk1 tpk2 tpk3 yak1 and tpk1 tpk2 tpk3 msn2 msn4, that bear suppressor mutations,. We have identified different classes of genes that can be induced, or repressed, by glucose in the absence of PKA. Among these genes, some are also controlled by a redundant signalling pathway involving PKA activation, while others do not respond to an increase in cAMP concentration. On the other hand, among genes which do not respond to glucose in the absence of PKA, some show a full response to increased cAMP levels, even in the absence of glucose, while others appear to require the cooperation of different signalling pathways.

Publication Title

Transcriptional responses to glucose in Saccharomyces cerevisiae strains lacking a functional protein kinase A.

Sample Metadata Fields

Treatment, Time

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accession-icon GSE15498
Genome-wide Profiling of Gene Expression in a New Rat Model of Cholangiocarcinoma Progression Mimicking the Human Cancer
  • organism-icon Rattus norvegicus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Validation of preclinical models of intrahepatic cholangiocarcinoma progression that reliably recapitulate altered molecular features of the human disease would provide an important resource for suggesting and testing of novel target-based therapies against this devastating cancer. In this study, comprehensive gene expression profiling in a novel orthotopic rat model of intrahepatic cholangiocarcinoma progression was carried out in an effort to identify potential therapeutic targets relevant to the progressive human cancer.

Publication Title

Intrahepatic cholangiocarcinoma progression: prognostic factors and basic mechanisms.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE8588
OH-PBDE-induced gene expression profiling in H295R adrenocortical carcinoma cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polybrominated diphenyl ethers (PBDEs) are commonly used as flame retardants in a variety of commercial and household products. They have been detected in the environment and accumulate in mammalian tissues and fluids. PBDE toxicity is thought to be associated with endocrine disruption, developmental neurotoxicity and changes in fetal development. Although humans are exposed to PBDEs, our knowledge of the effects of PBDE metabolites on human cells with respect to health risk is insufficient. Two hydroxylated PBDEs (OH-PBDEs), 2-OH-BDE47 and 2-OH-BDE85, were investigated for their effects on cell viability/proliferation, DNA damage, cell cycle distribution and gene expression profiling in H295R adrenocortical carcinoma cells. We show that the two agents are cytotoxic in a dose-dependent manner only at micromolar concentrations, with 2-OH-BDE85 being more toxic than 2-OH-BDE47. However, no DNA damage was observed for either chemical, suggesting that the biological effects of OH-PBDEs occur primarily via non-genotoxic routes. Furthermore, no evidence of aryl hydrocarbon receptor (AHR)-mediated, dioxin-like toxicity was observed. Instead, we report that a micromolar concentration of OH-PBDEs induces transcriptional changes associated with endoplasmic reticulum stress and the unfolded protein response. We discuss whether OH-PBDE bioaccumulation could result in impairment of the adrenocortical secretory function.

Publication Title

Cytotoxicity and gene expression profiling of two hydroxylated polybrominated diphenyl ethers in human H295R adrenocortical carcinoma cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP051485
Pervasive transcription read-through promotes aberrant expression of oncogenes and RNA chimeras in renal carcinoma
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Aberrant expression of cancer genes and non-canonical RNA species is a hallmark of cancer. However, the mechanisms driving such atypical gene expression programs are incompletely understood. Here, our transcriptional profiling of a cohort of 50 primary clear cell renal cell carcinoma (ccRCC) samples from The Cancer Genome Atlas (TCGA) reveals that transcription read-through beyond the termination site is a source of transcriptome diversity in cancer cells. Amongst the genes most frequently mutated in ccRCC, we identified SETD2 inactivation as a potent enhancer of transcription read-through. We further show that invasion of neighbouring genes and generation of RNA chimeras are functional outcomes of transcription read-through. We identified the BCL2 oncogene as one of such invaded genes and detected a novel chimera, the CTSC-RAB38, in 20% of ccRCC samples. Collectively, our data highlight a novel link between transcription read-through and aberrant expression of oncogenes and chimeric transcripts that is prevalent in cancer. Overall design: RNA-seq of SETD2 mutant and wild-type ccRCC cell lines.

Publication Title

Pervasive transcription read-through promotes aberrant expression of oncogenes and RNA chimeras in renal carcinoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP117093
Transcriptome analysis of fetal Klinefelter testis tissue samples compared to controls
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

In humans, the most common sex chromosomal disorder is Klinefelter syndrome (KS), caused by the presence of one or more extra X-chromosomes. The KS patients display a diverse adult phenotype with increased height, gynaecomastia, and hypergonadotropic hypogonadism as the most common symptoms. Men with KS are almost always infertile due to testicular degeneration, which accelerates during puberty. Very few studies investigated when the germ cell loss begins and whether it is caused by dysgenetic fetal development of the testes. We investigated a series of fetal KS testis tissue samples and found a marked reduction in MAGE-A4-positive pre-spermatogonia in the developing KS gonads compared to controls, indicating a failure of the gonocytes to differentiate into pre-spermatogonia. Transcriptome analysis by RNA sequencing of formalin-fixed and paraffin embedded gonads originating from 4 fetal KS samples and 5 age- and cellularity-matched controls revealed 211 differentially expressed transcripts in the fetal KS testis. We found a significant enrichment of upregulated X-chromosomal transcripts and validated the expression of the pseudoautosomal region 1 (PAR1) gene, AKAP17A. Moreover, we found enrichment of long non-coding RNAs in the KS testes (e.g. LINC01569 and RP11-485F13.1). In conclusion, our data indicates that the testicular phenotype observed among adult men with KS is initiated already in fetal life by failure of the gonocyte differentiation into pre-spermatogonia, which could be due to aberrant expression of long non-coding RNAs. Overall design: Includes a total of 9 samples. 4 fetal Klinefelter and 5 age-matched controls testis samples

Publication Title

Transcriptome profiling of fetal Klinefelter testis tissue reveals a possible involvement of long non-coding RNAs in gonocyte maturation.

Sample Metadata Fields

Subject

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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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