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accession-icon SRP111952
ILC1 lineage identity is determined by a cis-regulatory element marked by a novel lncRNA [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Innate lymphoid cells (ILCs) comprise three groups of recently identified tissue resident immune cell lineages that play critical roles in protective immune responses and tissue homeostasis. While significant progress has been made in defining the key protein mediators of ILC development and function, how cis-acting epigenetic regulatory elements or long non-coding RNAs (lncRNAs) regulate ILCs is unknown. Herein, we describe a cis-regulatory element demarcated by a novel lncRNA that controls the maturation, function and lineage identity of group 1 ILCs while being dispensable for early ILC development and homeostasis of mature ILC2s and ILC3s. We named this ILC1-restricted lncRNA Rroid. The Rroid locus controls the functional specification and lineage identity of ILC1 by promoting chromatin accessibility and STAT5 deposition at the promoter of its neighboring gene, Id2, in response to the ILC1-specific cytokine IL-15. Overall design: RNA-seq for gene expression in mouse NK cells

Publication Title

Group 1 Innate Lymphoid Cell Lineage Identity Is Determined by a cis-Regulatory Element Marked by a Long Non-coding RNA.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE108875
Expression data from mouse spleens after experimental stroke (reanalysis of dataset GSE70841 with additional experimental)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Infection is a major complication and cause of mortality and morbidity after acute stroke however the mechanisms are poorly understood. After experimental stroke the microarchitecture and cellular composition of the spleen are extensively disrupted resulting in deficits to immune function.

Publication Title

Experimental Stroke Differentially Affects Discrete Subpopulations of Splenic Macrophages.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP092481
Activity-dependent gene expression in the mammalian olfactory epithelium
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We access the activity-dependent genes in olfactory neuron cells with unilateral naris occlusion model with mouse. Overall design: mRNA profile of olfactory epithelia between closed and open sides of mice naris was compared

Publication Title

Activity-Dependent Gene Expression in the Mammalian Olfactory Epithelium.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE10289
Cells silenced for SDHB expression and tumor phenotype
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Effect of SDHB silencing using siRNA methodologies in the tumor phenotype

Publication Title

Cells silenced for SDHB expression display characteristic features of the tumor phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16987
A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis
  • organism-icon Homo sapiens
  • sample-icon 161 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

When making treatment decisions, oncologists often stratify breast cancers into a low-risk group (ER+, low grade); an intermediate-risk group (ER+, high grade); and a high-risk group that includes Her2+ and triple-negative (ER-/PR-/Her2-) tumors. None of the currently available gene signatures correlates to this clinical classification. We aimed to develop a test that is practical for the oncologists, that offers both molecular characterization of BCs, and improved prediction of prognosis and treatment response. We investigated the molecular basis of such clinical practice by grouping Her2+ and triple-negative breast cancers together during clustering analyses on the genome-wide gene expression profiles of our training cohort, mostly derived from fine needle aspiration biopsies (FNABs) of 149 consecutive evaluable Breast cancers. The analyses consistently divided these tumors into a three-cluster pattern, similar to clinical risk-stratification groups, that was reproducible in published microarray databases (n=2487) annotated with clinical outcomes. The clinicopathologic parameters of each of these three molecular groups were also similar to clinical classification. The low-risk group had good outcomes and benefited from endocrine therapy. Both intermediate- and high-risk groups had poor outcomes and were resistant to endocrine therapy. The latter demonstrated the highest rate of complete pathological response to neoadjuvant chemotherapy; the highest activities in MYC, E2F1, Ras, -Catenin and IFN- pathways; and poor prognosis predicted by 14 independent prognostic signatures. Based on a multivariate analysis, this new gene signature, termed ClinicoMolecular Triad Classification, predicted recurrence and treatment response better than all pathologic parameters and other prognostic signatures.

Publication Title

A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE16984
Comparability and concordance of replicated microarray data.
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina humanRef-8 v2.0 expression beadchip

Description

To measures the comparability and concordance of Illumina microarray, a series of 30 samples of Universal Human Reference RNA (UHRR) were set as controls for every single chip of total 30 Human-Ref V2 BeadChips. The average bead number of the 30 arrays was 42.38.1 for any bead type over the 22,184 probes. A high average correlation coefficient (r) value was obtained as 0.99080077 relative to each other of the expression intensity values from the 30 duplicate UHRR samples.

Publication Title

A new gene expression signature, the ClinicoMolecular Triad Classification, may improve prediction and prognostication of breast cancer at the time of diagnosis.

Sample Metadata Fields

Disease

View Samples
accession-icon SRP126648
Single-cell RNA-seq of mouse dopaminergic neurons informs candidate gene selection for sporadic Parkinson''s disease
  • organism-icon Mus musculus
  • sample-icon 758 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Genetic variation modulating risk of sporadic Parkinson's disease (PD) has been primarily explored through genome wide association studies (GWAS). However, like many other common genetic diseases, the impacted genes remain largely unknown. Here, we used single-cell RNA-seq to characterize dopaminergic (DA) neuron populations in the mouse brain at embryonic and early postnatal timepoints. These data facilitated unbiased identification of DA neuron subpopulations through their unique transcriptional profiles, including a novel postnatal neuroblast population and substantia nigra (SN) DA neurons. We use these population-specific data to develop a scoring system to prioritize candidate genes in all 49 GWAS intervals implicated in PD risk, including known PD genes and many with extensive supporting literature. As proof of principle, we confirm that the nigrostriatal pathway is compromised in Cplx1 null mice. Ultimately, this systematic approach establishes biologically pertinent candidates and testable hypotheses for sporadic PD, informing a new era of PD genetic research. Overall design: 473 single cell RNA-Seq samples from sorted mouse Th-eGFP+ dopaminergic neurons collected at two timepoints from three distinct brain regions.

Publication Title

Single-Cell RNA-Seq of Mouse Dopaminergic Neurons Informs Candidate Gene Selection for Sporadic Parkinson Disease.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE15415
Candidate genes for alcohol preference in alcohol-preferring and non-preferring reciprocal congenic rats
  • organism-icon Rattus norvegicus
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-nave iP and P.NP rats.

Publication Title

Candidate genes for alcohol preference identified by expression profiling in alcohol-preferring and -nonpreferring reciprocal congenic rats.

Sample Metadata Fields

Specimen part

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accession-icon GSE5849
Identification of Candidate Genes for Alcohol Preference by Expression Profiling of Congenic Strains
  • organism-icon Rattus norvegicus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

A highly significant quantitative trait locus (QTL) that influenced alcohol preference was identified in the iP/iNP rats on chromosome 4.

Publication Title

Identification of candidate genes for alcohol preference by expression profiling of congenic rat strains.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37416
Gene expression data from F. tularensis-exposed neutrophils
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We demonstrated recently that both constitutive and FAS-triggered apoptosis of human neutrophils are profoundly impaired by Francisella tularensis, but how this is achieved is largely unknown. To test the hypothesis that changes in neutrophil gene expression contribute to this phenotype, we used human oligonucleotide microarrays to identify differentially regulated genes in cells infected with F. tularensis strain LVS compared with uninfected controls.

Publication Title

Francisella tularensis alters human neutrophil gene expression: insights into the molecular basis of delayed neutrophil apoptosis.

Sample Metadata Fields

Specimen part, Time

View Samples
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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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