refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 278 results
Sort by

Filters

Technology

Platform

accession-icon SRP066154
A microfluidic platform enabling single cell RNA-seq of multigenerational lineages
  • organism-icon Mus musculus
  • sample-icon 194 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multigenerationa lineage tracking under controlled culture conditions. Overall design: Examination of lineage and cell cycle dependent transcriptional profiles in two cell types

Publication Title

A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE107039
Epigenetic and transcriptomic signature of aging in human liver
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular Aging of Human Liver: An Epigenetic/Transcriptomic Signature.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE107037
Epigenetic and transcriptomic signature of aging in human liver [expression]
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of liver biopsies collected from 33 healthy liver donors ranging from 13 to 90 years old. The Affymetrix HG-U133 Plus 2.0 GeneChip platform was used to evaluate gene-expression.

Publication Title

Molecular Aging of Human Liver: An Epigenetic/Transcriptomic Signature.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE33799
DUX4 activates germline genes, retroelements and immune-mediators: Implications for facioscapulohumeral dystrophy
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Facioscapulohumeral dystrophy (FSHD) is one of the most common inherited muscular dystrophies. The causative gene remains controversial and the mechanism of pathophysiology unknown. Here we identify genes associated with germline and early stem cell development as targets of the DUX4 transcription factor, a leading candidate gene for FSHD. The genes regulated by DUX4 are reliably detected in FSHD muscle but not in controls, providing direct support for the model that misexpression of DUX4 is a causal factor for FSHD. Additionally, we show that DUX4 binds and activates LTR elements from a class of MaLR endogenous primate retrotransposons and suppresses the innate immune response to viral infection, at least in part through the activation of DEFB103, a human defensin that can inhibit muscle differentiation. These findings suggest specific mechanisms of FSHD pathology and identify candidate biomarkers for disease diagnosis and progression.

Publication Title

DUX4 activates germline genes, retroelements, and immune mediators: implications for facioscapulohumeral dystrophy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE107686
Expression data from mouse sarcoma tumor cell lines
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Vanin1, a regulator of vitamin B5 metabolism, is expressed by sarcoma tumors. We evaluated its impact on sarcoma growth by using sarcoma cell lines derived from p16p19Vnn1-deficient mice and further transduced with an oncogenic RasV12 oncogene (R tumors) in the presence or not of a catalytically active (VR tumors) or mutated (VdR tumors) Vnn1 isoform.

Publication Title

Vnn1 pantetheinase limits the Warburg effect and sarcoma growth by rescuing mitochondrial activity.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE24006
A Leukemic Stem Cell Expression Signature is Associated with Clinical Outcomes in Acute Myeloid Leukemia
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Context: In many cancers, specific subpopulations of cells appear to be uniquely capable of initiating and maintaining tumors. The strongest support for this cancer stem cell model comes from transplantation assays in immune-deficient mice indicating that human acute myeloid leukemia (AML) is organized as a cellular hierarchy driven by self-renewing leukemia stem cells (LSC). This model has significant implications for the development of novel therapies, but its clinical significance remains unclear.

Publication Title

Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia.

Sample Metadata Fields

Disease, Disease stage, Subject

View Samples
accession-icon GSE3303
Gene Expression Profiles of Intact and Regenerating Zebrafish Retina
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Purpose: Investigate the molecular determinants of retinal regeneration in adult vertebrates by analyzing the gene expression profiles of control and post-lesion retina of adult zebrafish, a system that regenerates following injury.

Publication Title

Gene expression profiles of intact and regenerating zebrafish retina.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6420
Effect of LARK overexpression in CNS neurons
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

The goal of this study is to identify, in the head of adult flies, mRNA species whose expresson level are altered by overexpression of the Drosophila RNA-binding protein LARK in CNS neurons.

Publication Title

The LARK RNA-binding protein selectively regulates the circadian eclosion rhythm by controlling E74 protein expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6418
RNAs associated with LARK in Drosophila pharate adult brain
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Circadian behaviors are regulated by intrinsic biological clocks consisting of central molecular oscillators and output pathways. Despite significant progress in elucidating the central timekeeping mechanisms, the molecular pathways coupling the circadian pacemaker to overt rhythmic behavior and physiology remain elusive. The Drosophila LARK RNA-binding protein is a candidate for such a coupling factor. Previous research indicates that LARK functions downstream of the clock to mediate behavioral outputs. To better understand the roles of LARK in the Drosophila circadian system, we sought to identify RNA molecules associated with LARK in vivo, using a novel strategy that involves capturing the RNA ligands by immunoprecipitation, visualizing the captured RNAs using whole gene microarrays, and identifying functionally relevant targets through genetic screens.

Publication Title

The LARK RNA-binding protein selectively regulates the circadian eclosion rhythm by controlling E74 protein expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP055996
Spatial reconstruction of single-cell gene expression
  • organism-icon Danio rerio
  • sample-icon 1138 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Spatial localization is a key determinant of cellular fate and behavior, but spatial RNA assays traditionally rely on staining for a limited number of RNA species. In contrast, single-cell RNA-seq allows for deep profiling of cellular gene expression, but established methods separate cells from their native spatial context. Here we present Seurat, a computational strategy to infer cellular localization by integrating single-cell RNA-seq data with in situ RNA patterns. We applied Seurat to spatially map 851 single cells from dissociated zebrafish (Danio rerio) embryos, inferring a transcriptome-wide map of spatial patterning. We confirmed Seurat’s accuracy using several experimental approaches, and used it to identify a set of archetypal expression patterns and spatial markers. Additionally, Seurat correctly localizes rare subpopulations, accurately mapping both spatially restricted and scattered groups. Seurat will be applicable to mapping cellular localization within complex patterned tissues in diverse systems. Overall design: We generated single-cell RNA-seq profiles from dissociated cells from developing zebrafish embryos (late blastula stage - 50% epiboly)

Publication Title

Spatial reconstruction of single-cell gene expression data.

Sample Metadata Fields

Subject

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact