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accession-icon GSE12907
Expression Analysis of Juvenile Pilocytic Astrocytomas by Oligonucleotide Microarray Reveals Two Potential Subgroups
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Juvenile pilocytic astrocytoma (JPA) is one of the most common brain tumors in children. The expression profiles of 21 JPAs, determined using Affymetrix GeneChip U133A, were compared with subjects with normal cerebella. The genes involved in neurogenesis, cell adhesion, synaptic transmission, central nervous system development, potassium ion transport, protein dephosphorylation, and cell differentiation were found to be significantly deregulated in JPA. These 21 JPAs were further clustered into two major groups by unsupervised hierarchical clustering using a set of 848 genes with high covariance (0.5-10). Supervised analysis with Significance Analysis of Microarrays software between these two potential subgroups identified a list of significant differentially expressed genes involved in cell adhesion, regulation of cell growth, cell motility, nerve ensheathment, and angiogenesis. Immunostaining of myelin basic protein on paraffin sections derived from 18 incompletely resected JPAs suggests that JPA without myelin basic proteinpositively stained tumor cells may have a higher tendency to progress.

Publication Title

Expression analysis of juvenile pilocytic astrocytomas by oligonucleotide microarray reveals two potential subgroups.

Sample Metadata Fields

Age

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accession-icon GSE83456
The transcriptional signature of active tuberculosis reflects symptom status in extra-pulmonary and pulmonary tuberculosis
  • organism-icon Homo sapiens
  • sample-icon 202 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Background: Mycobacterium tuberculosis infection is a leading cause of infectious death worldwide. Gene-expression microarray studies profiling the blood transcriptional response of tuberculosis (TB) patients have been undertaken in order to better understand the host immune response as well as to identify potential biomarkers of disease. To date most of these studies have focused on pulmonary TB patients with gene-expression profiles of extra-pulmonary TB patients yet to be compared to those of patients with pulmonary TB or sarcoidosis.

Publication Title

The Transcriptional Signature of Active Tuberculosis Reflects Symptom Status in Extra-Pulmonary and Pulmonary Tuberculosis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Race

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accession-icon SRP071239
Progenitor Cell Marker Aldehyde Dehydrogenase 1a3 Defines a Subset of Failing Pancreatic Beta Cells in Diabetic Mice
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Insulin-producing beta cells become dedifferentiated during diabetes progression. An impaired ability to select substrates for oxidative phosphorylation, or metabolic inflexibility, sets the stage for progression from beta cell dysfunction to beta cell dedifferentiation. In this study, we sought to isolate and functionally characterize failing beta cells, as a preliminary step to identify pathways to reverse dedifferentiation. Using various experimental models of diabetes, we found a striking enrichment in the expression of aldehyde dehydrogenase 1 isoform A3 (ALDH+) as beta cells become dedifferentiated. Flow-sorted ALDH+ islet cells demonstrate impaired glucose-induced insulin secretion, are depleted of Foxo1 and MafA, and include a Neurogenin3-positive subset. RNA sequencing analysis demonstrates that ALDH+ cells are characterized by: (i) impaired oxidative phosphorylation and mitochondrial complex I, IV, and V; (ii) activated RICTOR; and (iii) progenitor cell markers. We propose that impaired mitochondrial function marks the progression from metabolic inflexibility to dedifferentiation in the natural history of beta cell failure. Overall design: RNA-Sequencing analysis of 2 different cell types in 2 different genotype categories.

Publication Title

Aldehyde dehydrogenase 1a3 defines a subset of failing pancreatic β cells in diabetic mice.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP050137
RNA-seq analysis of the eight Drosophila SR protein family members
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Using RNA-seq, we characterize the global AS regulation of the eight Drosophila SR protein family members Overall design: RNA-seq experiments on two replicate samples from 8 individual SR protein knockdown (exptGroup=S), two replicates of simultaneous SR protein knockdown (XL6:B52 & SC35:B52) (exptGroup=D). Each exptGroup includes duplicate of its own non-specific (NS) controls.

Publication Title

SR proteins control a complex network of RNA-processing events.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP212738
The Toll signaling pathway targets the insulin-like peptide Dilp6 to inhibit growth in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

To identify genes that mediate altered communication between fat body and peripheral tissues, we report the gene expression changes in Drosophila third instar larval fat bodies with or without constitutively-active Toll (Toll10b) to activate innate immune signaling, myristoylated Akt (myrAkt) to activate insulin signaling, or both transgenes to bypass the block from Toll signaling to the upstream part of the insulin signaling pathway Overall design: Comparison of RFP/GFP (Control), Toll10b/GFP (Toll10b), RFP/myrAkt (myrAkt), and Toll10b/myrAkt (Toll10b + myrAkt)

Publication Title

The Toll Signaling Pathway Targets the Insulin-like Peptide Dilp6 to Inhibit Growth in Drosophila.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE6992
Expression data from a paraquat time course experiment in wild type and SoxR deficient strains
  • organism-icon Escherichia coli
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

SoxR and SoxS constitute an intracellular signal response system that rapidly detects changes in superoxide levels and modulates gene expression in E. coli.

Publication Title

Rapid changes in gene expression dynamics in response to superoxide reveal SoxRS-dependent and independent transcriptional networks.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP069812
Transcriptomic analysis of pancreas and kidney upon induction of reprogramming
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We profiled total mRNA of pancreas and kidney tissues of 3 different strains (p53-null; In4a/Arf-null and WT) of reprogrammable mouse lines (they all express OCT4, SOX2, KLF4, C-MYC under the control of a tetracycline promoter, activated by doxycycline) Overall design: 5 mice of each genotype were treated with doxycycline to induce the expression of the reprogramming factors, they were sacrificed and total mRNA was extracted from pancreas and kidney tissues (we mapped >24M reads per sample)

Publication Title

Tissue damage and senescence provide critical signals for cellular reprogramming in vivo.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon E-MEXP-879
Transcription profiling of Drosophila embryos at stages 11 and 12 to identify genes downstream of Hox
  • organism-icon Drosophila melanogaster
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Identification of Hox gene downstream genes at embryonic stages 11 and 12<br></br><br></br>Functional diversification of body parts is dependent on the formation of specialized structures along the various body axes. In animals, region-specific morphogenesis along the anterior-posterior axis is controlled by a group of conserved transcription factors encoded by the Hox genes. Although it has long been assumed that Hox proteins carry out their function by regulating distinct sets of downstream genes, only a small number of such genes have been found, with very few having direct roles in controlling cellular behavior. We have quantitatively identified hundreds of Hox downstream genes in Drosophila by microarray analysis, and validated many of them by in situ hybridizations on loss- and gain-of-function mutants. One important finding is that Hox proteins, despite their similar DNA binding properties in vitro, have highly specific effects on the transcriptome in vivo, as expression of many downstream genes responds primarily to a single Hox protein. In addition, a large fraction of downstream genes encodes realizator functions, which directly affect morphogenetic processes, such as orientation and rate of cell divisions, cell-cell adhesion and communication, cell shape and migration, or cell death. Focusing on these realizators, we provide a framework for the morphogenesis of the maxillary segment. Since the genomic organization of Hox genes and the interaction of Hox proteins with specific cofactors are conserved in vertebrates and invertebrates, and similar classes of downstream genes are regulated by Hox proteins across the metazoan phylogeny, our findings represent a first step towards a mechanistic understanding of morphological diversification within a species as well as between species.

Publication Title

Comparative analysis of Hox downstream genes in Drosophila.

Sample Metadata Fields

Age, Time

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accession-icon SRP200955
Estrogen-independent molecular actions of mutant estrogen receptor alpha in endometrial cancer [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Estrogen receptor alpha (ESR1) mutations have been identified in hormone therapy resistant breast cancer and primary endometrial cancer. Analyses in breast cancer suggests that mutant ESR1 exhibits estrogen independent activity. In endometrial cancer, ESR1 mutations are associated with worse outcomes and less obesity, however experimental investigation of these mutations has not been performed. Using a unique CRISPR/Cas9 strategy, we introduced the D538G mutation, a common endometrial cancer mutation that alters the ligand binding domain of ESR1, while epitope tagging the endogenous locus. We discovered estrogen-independent mutant ESR1 genomic binding that is significantly altered from wildtype ESR1. The D538G mutation impacted expression, including a large set of non-estrogen regulated genes, and chromatin accessibility, with most affected loci bound by mutant ESR1. Mutant ESR1 is unique from constitutive ESR1 activity as mutant-specific changes are not recapitulated with prolonged estrogen exposure. Overall, D538G mutant ESR1 confers estrogen-independent activity while causing additional regulatory changes in endometrial cancer cells that are distinct from breast cancer cells. Overall design: RNA-seq was used to study the effects of the D538G mutation on gene expression

Publication Title

Estrogen-independent molecular actions of mutant estrogen receptor 1 in endometrial cancer.

Sample Metadata Fields

Cell line, Treatment, Subject, Time

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accession-icon SRP067359
Transcriptome sequencing of skeletal muscle for PRMT7 knockout mouse
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report that whole body PRMT7-/- adult mice display a significant reduction in in muscle mass. RNA sequencing was performed to identify potential PRMT7 targets. We found that top canonical pathways affected by the loss of PRMT7 includes cell cycle and senescence. Overall design: RNA was extracted from tibialis anterior muscles harvested from 3 WT and 3 PRMT7 null mice at 8months. RNA sequencing was performed to compare mRNA in skeletal muscles between WT and KO mice.

Publication Title

PRMT7 Preserves Satellite Cell Regenerative Capacity.

Sample Metadata Fields

Age, Specimen part, Cell line, 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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