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accession-icon GSE42676
Functional genomics in perinatal asphyxia and fetal asphyctic preconditioning in the brain
  • organism-icon Rattus norvegicus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Fetal asphyctic (FA) preconditioning is effective in attenuating brain damage incurred by a subsequent perinatal asphyctic insult. Unraveling mechanisms of this endogenous neuroprotection, activated by FA preconditioning, is an important step towards new clinical strategies for asphyctic neonates. Genomic reprogramming is thought to be, at least in part, responsible for the protective effect of preconditioning. Therefore, we investigated whole genome differential expression in the preconditioned rat brain.

Publication Title

Fetal asphyctic preconditioning alters the transcriptional response to perinatal asphyxia.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP056481
Long-term consequences of chronic fluoxetine exposure on the expression of myelination-related genes in the rat hippocampus
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

To more concretely elucidate the long-term effects of chronic SSRI exposure during adulthood, the long-term consequences of chronic fluoxetine (12 mg/kg) versus vehicle treatment during adulthood (postnatal day (PND) 67-88) on gene expression in the hippocampus were investigated. The study showed that adult chronic fluoxetine exposure causes on the long-term changes in the expression of genes related to, amongst others, myelination Overall design: Comparison of gene expression in hippocampus tissue of fluoxetine and methylcellulose-exposed rats (postnatal day 128). 2 rats pooled per sample, 2 samples per treatment group

Publication Title

Long-term consequences of chronic fluoxetine exposure on the expression of myelination-related genes in the rat hippocampus.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP006574
GSE28884: MicroRNA sequence and expression analysis in breast tumors by deep sequencing
  • organism-icon Homo sapiens
  • sample-icon 206 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

No description.

Publication Title

MicroRNA sequence and expression analysis in breast tumors by deep sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP189661
A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment. [scRNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 62 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

While the roles of parenchymal microglia in brain homeostasis and disease are fairly clear, other brain-resident myeloid cells remain less understood. By dissecting border regions and combining single-cell RNA sequencing with high-dimensional cytometry, bulk RNA-sequencing, fate-mapping and microscopy, we reveal the diversity of non-parenchymal brain macrophages. Border-associated macrophages (BAMs) residing in the dura mater, subdural meninges and choroid plexus consisted of distinct subsets with tissue-specific transcriptional signatures, and their cellular composition changed during postnatal development. BAMs exhibited a mixed ontogeny and subsets displayed distinct self-renewal capacities upon depletion and repopulation. Single-cell and fate-mapping analysis both suggested there is a unique microglial subset residing on the apical surface of the choroid plexus epithelium. Finally, gene network analysis and conditional deletion revealed IRF8 as a master regulator that drives the maturation and diversity of brain macrophages. Our results provide a framework for understanding host-macrophage interactions in the healthy and diseased brain. Overall design: sample of WT choroid plexus, sample of WT dura mater, sample of WT enriched SDM, sample of WT whole brain, sample of 9 months old APP/PS1 mice, sample of 16 months old APP/PS1 mice, sample of 16 months old WT mice, sample of Irf8 KO whole brain, sample of Irf8 KO choroid plexus, sample of Irf8 WT whole brain, sample of Irf8 WT choroid plexus, sample of dura mater with standard protocol and with ActD protocol, sample of choroid plexus with standard protocol and ActD protocol.

Publication Title

A single-cell atlas of mouse brain macrophages reveals unique transcriptional identities shaped by ontogeny and tissue environment.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE84043
Genomic hallmarks of localized, non-indolent prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic hallmarks of localized, non-indolent prostate cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE84042
Genomic hallmarks of localized, non-indolent prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Prostate tumours are highly variable in their response to therapies, but clinically available prognostic factors can explain only a fraction of this heterogeneity. Here we analysed 200 whole-genome sequences and 277 additional whole-exome sequences from localized, non-indolent prostate tumours with similar clinical risk profiles, and carried out RNA and methylation analyses in a subset. These tumours had a paucity of clinically actionable single nucleotide variants, unlike those seen in metastatic disease. Rather, a significant proportion of tumours harboured recurrent non-coding aberrations, large-scale genomic rearrangements, and alterations in which an inversion repressed transcription within its boundaries. Local hypermutation events were frequent, and correlated with specific genomic profiles. Numerous molecular aberrations were prognostic for disease recurrence, including several DNA methylation events, and a signature comprised of these aberrations outperformed well-described prognostic biomarkers. We suggest that intensified treatment of genomically aggressive localized prostate cancer may improve cure rates.

Publication Title

Genomic hallmarks of localized, non-indolent prostate cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE64415
Gene expression data from ependymal tumor samples
  • organism-icon Homo sapiens
  • sample-icon 205 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ependymal tumors across age groups have been classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patient outcome. We aimed at establishing a reliable molecular classification using DNA methylation fingerprints and gene expression data of the tumors on a large cohort of 500 tumors. Nine robust molecular subgroups, three in each anatomic compartment of the central nervous system (CNS), were identified.

Publication Title

Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP067829
DICER controls macrophage polarization and tumor response to immunotherapy
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tumor-associated macrophages (TAMs) have immunosuppressive capacity in mouse models of cancer. Here we show that the genetic deletion of the microRNA (miRNA)-processing enzyme DICER in TAMs broadly programs them to a CD11c+MRC1-/low M1-like immunostimulatory phenotype characterized by activated interferon-? (IFN-?)/STAT1/IRF signaling. M1-like TAM programming fostered the recruitment of cytotoxic T-cells (CTLs), including tumor-antigen-specific CTLs, inhibited tumor growth, and enhanced the efficacy of PD1 checkpoint blockade. Bioinformatics analysis of TAM transcriptomes identified a limited set of miRNAs putatively involved in TAM programming. Re-expression of Let-7 in Dicer-deficient TAMs was sufficient to partly rescue the M2-like (protumoral) TAM phenotype and abate tumor CTL infiltration. Targeted suppression of DICER activity in TAMs may, therefore, stimulate antitumor immunity and enhance the efficacy of cancer immunotherapy. Overall design: To explore the role of DICER in the development, activation and immunological functions of TAMs, we crossed homozygous LysM-Cre (Clausen et al., 1999) with Dicerlox/lox (Harfe et al., 2005) mice to obtain mice with myeloid-cell-specific Dicer1 gene deletion (LysM-Cre;Dicer–/–, referred to as D–/–). These mice were then backcrossed to LysM-Cre to obtain the control LysM-Cre; Dicer+/+ mice (referred to as D+/+). Both LysM-Cre and Dicerlox/lox mutations were always homozygous in our experiment. We then inoculated Lewis lung carcinoma (LLC) cells subcutaneously (s.c.) in D–/– and control D+/+ mice. Once the tumors were established, we isolated by fluorescence-activated cell sorting (FACS) tumor-associated macrophages (F4/80+ cells).

Publication Title

Suppression of microRNA activity amplifies IFN-γ-induced macrophage activation and promotes anti-tumour immunity.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE70678
Gene expression data from ATRT tumor samples
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Atypical teratoid/rhabdoid tumor (ATRT) is one of the most common brain tumors in infants. Although the prognosis of ATRT patients is poor, some patients respond favorably to current treatments, suggesting molecular inter-tumor heterogeneity. To investigate this further, we genetically and epigenetically analyzed a large series of human ATRTs. Three distinct molecular subgroups of ATRTs, associated with differences in demographics, tumor location, and type of SMARCB1 alterations, were identified. Whole-genome DNA and RNA sequencing found no recurrent mutations in addition to SMARCB1 that would explain the differences between subgroups. Whole-genome bisulfite sequencing and H3K27Ac chromatin-immunoprecipitation sequencing of primary tumors, however, revealed clear differences, leading to the identification of subgroup-specific regulatory networks and potential therapeutic targets.

Publication Title

Atypical Teratoid/Rhabdoid Tumors Are Comprised of Three Epigenetic Subgroups with Distinct Enhancer Landscapes.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE36245
Gene expression data from glioblastoma tumor samples
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glioblastoma (GBM) is an incurable brain tumor carrying a dismal prognosis, which displays considerable heterogeneity. We have recently identified recurrent H3F3A mutations affecting two critical positions of histone H3.3 (K27, G34) in one-third of pediatric GBM. Here we show that each of these H3F3A mutations defines an epigenetic subgroup of GBM with a distinct global methylation pattern, and are mutually exclusive with IDH1 mutation (characterizing a CpG-Island Methylator Phenotype (CIMP) subgroup). Three further epigenetic subgroups were enriched for hallmark genetic events of adult GBM (EGFR amplification, CDKN2A/B deletion) and/or known transcriptomic signatures. We also demonstrate that the two H3F3A mutations give rise to GBMs in separate anatomic compartments, with differential regulation of OLIG1/2 and FOXG1, possibly reflecting different cellular origins.

Publication Title

Hotspot mutations in H3F3A and IDH1 define distinct epigenetic and biological subgroups of glioblastoma.

Sample Metadata Fields

Sex

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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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