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accession-icon SRP045900
Next Generation Sequencing of Pattern II Demyelinating Brain Lesions from a Multiple Sclerosis Patient
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Multiple sclerosis is a chronic inflammatory demyelinating disease of the central nervous system with marked heterogeneity in several aspects including pathological processes. Four histopathological patterns of MS have been described. Pattern II is characterized by infiltrating macrophages and T-cells and by antibody and complement deposition. Transcriptome analysis of three patern II demyelinating brain lesions from a multiple sclerosis patient using RNA sequencing demonstrated the presence of mRNA transcripts for genes specific of activated macrophages, T and B cells as well as genes coding for immunoglobulins, complement proteins and some pattern II associated proteins, providing additional evidence supporting pattern II demyelination. Overall design: Examination of 3 different demyelinating lesions identified by Immunohistopathology.

Publication Title

Central role of Th2/Tc2 lymphocytes in pattern II multiple sclerosis lesions.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52892
SOX11-positive and SOX11-knockdown xenograft derived tumor Gene Expression Profilings
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The neural transcription factor SOX11 is overexpressed in aggressive lymphoid neoplasms mainly in mantle cell lymphoma (MCL). We have recently demonstrated SOX11 tumorigenic potential in vivo by showing a significant reduction on tumor growth of SOX11-knockdown MCL cells in xenograft experiments, confirming the clinical observations that SOX11 may play an important role in the aggressive behavior of MCL (Vegliante et al., 2013). However, the specific mechanisms regulated by SOX11 that promote the oncogenic and rapid tumor growth of aggressive MCL still remain to be elucidated. To further characterize the potential oncogenic mechanisms regulated by SOX11 in MCL, we have analyzed the GEP derived from the xenograft SOX11-positive and knockdown xenograft derived tumors.

Publication Title

SOX11 promotes tumor angiogenesis through transcriptional regulation of PDGFA in mantle cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE106931
Expression data from cerebral CD163+ perivascular and meningeal macrophages (PV) obtained from controls (C) and ischemic (I) rats
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We used adult male Sprague-Dawley rats (280-329 g body weight). Controls were nave rats. Ischemic rats were subjected to 1-hour occlusion of the right middle cerebral artery and 16h reperfusion.

Publication Title

CNS-border associated macrophages respond to acute ischemic stroke attracting granulocytes and promoting vascular leakage.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE22138
Expression Data from Uveal Melanoma primary tumors.
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of uveal melanoma patients develop metastatic tumors that predominately occur in the liver. To identify genes associated with metastasis in this pathology, we studied 63 molecular profiles derived from gene expression microarrays performed from enuceated primary tumors.

Publication Title

High PTP4A3 phosphatase expression correlates with metastatic risk in uveal melanoma patients.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP047452
Transcriptional perturbations by long noncoding RNAs with distinct spatio-temporal expression in the mammalian brain
  • organism-icon Mus musculus
  • sample-icon 212 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Long noncoding RNAs (lncRNAs) have been implicated in numerous cellular processes including brain development. Yet the in vivo expression dynamics and molecular pathways regulated by these molecules are less well understood. Here, we leveraged a cohort of 13 lncRNA null-mutant mouse models to investigate the spatio-temporal expression of lncRNAs in the developing and adult brain. We observed a wide range of different spatio-temporal expression profiles in the brain. Several lncRNAs are differentially expressed both in time and space, and others present highly restricted expression in only selected brain regions. We further explore the consequent transcriptome alterations after loss of these lncRNA loci, and demonstrate altered regulation of a large variety of cellular pathways and processes. We further found that 6/13 lncRNA null-mutant strains significantly affect the expression of several neighboring protein-coding genes, in a cis-like manner. This resource provides insight into the expression patterns and potential effect of lncRNA loci in the developing and adult mammalian brain, and allows future examination of the specific functional relevance of these genes in neural development, brain function, and disease. We have sequenced wildtype and mutant whole brains from a cohort of 13 lncRNA knockout mouse strains at two developmetal timepoints (E14.5 and adult). Overall design: Comparison between wildtype and mutant whole brains transcriptomes in 13 lncRNA mutant strains at two different timepoints. Please note that for each knockout strain there are KO_E14.5 and KO_Adult samples, however for WT, each KO strain was compared to a cohort of 14 WTs (N3 background) and 3 WTs (N2.5 background) at either Adult or E14.5 timepoint. So in total there are 14 WT_Adult and 14 WT_E14.5 and in each differential analysis the 2 or 3 KOs (in N3 background) were compared to this entire cohort at the respective timepoint; a cohort of 3 WT_adult (N2.5) or 3 WT_E14.5 samples compared to other N2.5 KO samples at the respective timepoint. Thus, each processed data file was generated by comparing each KO strain to a cohort of WTs (at either Adult or E14.5 timepoint; ko_vs_WT_Adult or ko_vs_WT_embryonic). The mouse strain (background) used in these experiments a cross between 129 and C57BL/6 in the third generation (N3) of breeding in the C57BL/6 line, with the exception of the KANTR mice, which are N2.5.

Publication Title

Spatiotemporal expression and transcriptional perturbations by long noncoding RNAs in the mouse brain.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6509
Gene Profile of RU486 effect on LPS induced gene expression in CNS.
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The study was designed in order to identify genes differentially expressed when glucocorticoid signaling is blocked by a glucocorticoid-receptor antagonist (RU486 mifepristone) in the context of brain inflammation induced by bacterial lipopolysaccharide (LPS). LPS is only able to cause murine brain damage in our experimental conditions upon RU486 pre-treatment. Hence, the study may reveal potential candidate genes to mediate neuroprotection or neurotoxicity. Due to the factorial design of the experiment, RU486 main-effect could be dissociated from the effects resultant of RU486/inflammation interaction. In addition, brain dissection was conducted to verify the effects in the brain side ipsilateral or contralateral to the site of intracerebral LPS infusion.

Publication Title

Genes involved in the balance between neuronal survival and death during inflammation.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE47559
Ibf1 and Ibf2 are DNA-binding proteins required for insulator function in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Ibf1 and Ibf2 are novel CP190-interacting proteins required for insulator function.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE47557
Co-regulation analysis of CP190 and CG9740 [expression]
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Gene expression in S2 cells after CG9740 or CP190 RNAi

Publication Title

Ibf1 and Ibf2 are novel CP190-interacting proteins required for insulator function.

Sample Metadata Fields

Cell line

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accession-icon GSE85113
Expression data from three rice lines (1-control, 1-transgenic and 1-negative segregant) throughout generations and under salt stress
  • organism-icon Oryza sativa
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice (US) Gene 1.0 ST Array (rusgene11st)

Description

The approval of genetically modified (GM) crops is preceded by years of intensive research to demonstrate safety to humans and environment. We recently showed that in vitro culture stress is the major factor influencing proteomic differences of GM vs. non-GM plants. This made us question the number of generations needed to erase such memory. We also wondered about the relevance of alterations promoted by transgenesis as compared to environment-induced ones.

Publication Title

Environmental stress is the major cause of transcriptomic and proteomic changes in GM and non-GM plants.

Sample Metadata Fields

Specimen part

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accession-icon GSE26910
Stromal molecular signatures of breast and prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primary tumor growth induces host tissue responses that are believed to support and promote tumor progression. Identification of the molecular characteristics of the tumor microenvironment and elucidation of its crosstalk with tumor cells may therefore be crucial for improving our understanding of the processes implicated in cancer progression, identifying potential therapeutic targets, and uncovering stromal gene expression signatures that may predict clinical outcome. A key issue to resolve, therefore, is whether the stromal response to tumor growth is largely a generic phenomenon, irrespective of the tumor type, or whether the response reflects tumor-specific properties. To address similarity or distinction of stromal gene expression changes during cancer progression, oligonucleotide-based Affymetrix microarray technology was used to compare the transcriptomes of laser-microdissected stromal cells derived from invasive human breast and prostate carcinoma. Invasive breast and prostate cancer-associated stroma was observed to display distinct transcriptomes, with a limited number of shared genes. Interestingly, both breast and prostate tumor-specific dysregulated stromal genes were observed to cluster breast and prostate cancer patients, respectively, into two distinct groups with statistically different clinical outcomes. By contrast, a gene signature that was common to the reactive stroma of both tumor types did not have survival predictive value. Univariate Cox analysis identified genes whose expression level was most strongly associated with patient survival. Taken together, these observations suggest that the tumor microenvironment displays distinct features according to the tumor type that provides survival-predictive value.

Publication Title

Identification of prognostic molecular features in the reactive stroma of human breast and prostate cancer.

Sample Metadata Fields

Specimen part

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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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