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accession-icon GSE59201
Gene expression changes during retinal development and rod specification.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Photoreceptor disorders are collectively known as retinal degeneration (RD), and include retinitis pigmentosa (RP), cone-rod dystrophy and age related macular degeneration (AMD). These disorders are largely genetic in origin; individual mutations in any one of >200 genes cause RD, making mutation specific therapies prohibitively expensive. A better treatment plan, particularly for late stage disease, may involve stem cell transplants into the photoreceptor or ganglion cell layers of the retina. Stem cells from young mouse retinas can be transplanted, and can form photoreceptors in adult retinas. These cells can be grown in tissue culture, but can no longer form photoreceptors. We have used microarrays to investigate differences in gene expression between cultured retinal progenitor cells (RPCs) that have lost photoreceptor potential, postnatal day 1 (pn1) retinas and the postnatal day 5 (pn5) retinas that contain transplantable photoreceptors. We have also compared FACS sorted Rho-eGFP expressing rod photoreceptors from pn5 retinas with Rho-eGFP negative cells from the same retinas. We have identified over 300 genes upregulated in rod photoreceptor development in multiple comparisons, 37 of which have been previously identified as causative of retinal disease when mutated. It is anticipated that this research should bring us closer to growing photoreceptors in culture and therefore better treatments for RD. This dataset is also a resource for those seeking to identify novel retinopathy genes in RD patients.

Publication Title

Gene expression changes during retinal development and rod specification.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19393
Human primary subcutaneous preadipocytes treated with glucocorticoids prior to the initiation of differentiation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Full title: Expression data from human primary subcutaneous preadipocytes treated with glucocorticoids prior to the initiation of differentiation.

Publication Title

Insulin sensitization of human preadipocytes through glucocorticoid hormone induction of forkhead transcription factors.

Sample Metadata Fields

Specimen part

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accession-icon GSE38690
The ERRalpha metabolic nuclear receptor controls growth of colon cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Estrogen-Related Receptor alpha (ERR) is a nuclear receptor that acts principally as a regulator of metabolism processes particularly in tissues subjected to high-energy demand. Besides its implication in energy metabolism and mitochondrial biogenesis, ERR was recently associated with tumorigenesis. Notably, increased expression of ERR was noted in different cancerous tissues as breast, ovary and colon. However, supplemental studies are required to better understand the role of ERR in colon carcinoma.

Publication Title

ERRα metabolic nuclear receptor controls growth of colon cancer cells.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE2473
Small RNA biogenesis mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Inflorescence stages 1 to 12 from mutants involved in Arabidopsis small RNA metabolism. Three biological replicates of each mutant comprising at least 9 independent plants were harvested, and the expression profiles were determined using Affymetrix ATH1 arrays. Comparisons among the sample groups allow the identification of genes regulated by small RNAs (microRNAs and siRNAs).

Publication Title

microRNA-directed phasing during trans-acting siRNA biogenesis in plants.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30223
Expression data of germinating Arabidopsis seeds
  • organism-icon Arabidopsis thaliana
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

In depth temporal profiling of transcript changes at 10 time points during germination in Arabidopsis seed was carried out. The time course utilised, encompassed seed maturation, stratification, germination and post-germination and provided a global investigation into the tightly regulated, phasic changes that define seed germination.

Publication Title

In-depth temporal transcriptome profiling reveals a crucial developmental switch with roles for RNA processing and organelle metabolism that are essential for germination in Arabidopsis.

Sample Metadata Fields

Specimen part, Disease, Time

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accession-icon SRP075643
Transcriptome of RA-responsive and RA-resistant breast cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Retinoic acid (RA), the main active vitamin A metabolite, controls multiple biological processes such as cell proliferation and differentiation through genomic programs and kinase cascades activation. Several breast cancer cells respond to the antiproliferative effects of RA, but others are RA-resistant. In several cases resistance has been correlated to the amplification of the erb-b2 receptor tyrosine kinase 2 (ERBB2) gene, but the overall signaling and transcriptional pathways that are altered in such cells have not been elucidated. Here we compared two human breast cancer cell lines, the MCF7 cell line, which responds to the antiproliferative action of RA and the BT474 cell line, which is RA-resistant subsequent to ERBB2 amplification in a large-scale analysis of the phosphoproteins and in a genome-wide analysis of the RA-regulated genes. Using high-resolution nano-LC-LTQ-Orbitrap mass spectrometry associated to phosphopeptide enrichment, we found that several proteins involved in signaling and in transcription, are differentially phosphorylated after RA addition. The paradigm of these proteins is the RA receptor a (RARa), which was phosphorylated in MCF7 cells but not in BT474 cells. The panel of the RA-regulated genes was also different. Overall our results indicate that ERBB2 amplification interferes with the ability of RA to activate kinases with consequences on the phosphorylation of several proteins involved in transcription and thus on gene expression. Overall design: Two human breast cancer cell lines were compared for their repertoire of genes regulated by retinoic acid (RA): the RA sensitive MCF7 cell line and the RA resistant B7474 cell line

Publication Title

Phosphoproteome and Transcriptome of RA-Responsive and RA-Resistant Breast Cancer Cell Lines.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE7227
microRNA160 resistant AUXIN RESPONSE FACTOR10 (mARF10) germinating seeds
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The expression profiles were determined using Affymetrix ATH1 arrays. Comparisons among the Col-0, ARF10 and mARF10 sample groups allow the identification of genes regulated by ARF10.

Publication Title

Repression of AUXIN RESPONSE FACTOR10 by microRNA160 is critical for seed germination and post-germination stages.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP166531
ZEB1 insufficiency causes corneal endothelial cell state transition and altered cellular processing
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The zinc finger e-box binding homeobox 1 (ZEB1) transcription factor is a master regulator of the epithelial to mesenchymal transition (EMT), and of the reverse mesenchymal to epithelial transition (MET) processes. ZEB1 plays an integral role in mediating cell state transitions during cell lineage specification, wound healing and disease. EMT/MET are characterized by distinct changes in molecular and cellular phenotype that are generally context-independent. Posterior polymorphous corneal dystrophy (PPCD), associated with ZEB1 insufficiency, provides a new biological context in which to understand and evaluate the classic EMT/MET paradigm. PPCD is characterized by a cadherin-switch and transition to an epithelial-like transcriptomic and cellular phenotype, which we study in a cell-based model of PPCD generated using CRISPR-Cas9-mediated ZEB1 knockout in corneal endothelial cells (CEnCs). Transcriptomic and functional studies support the hypothesis that CEnC undergo an MET-like transition in PPCD, termed endothelial to epithelial transition (EnET), and lead to the conclusion that EnET may be considered a corollary to the classic EMT/MET paradigm. Overall design: Three independent clones for each genotype were generated. ZEB1+/+ and ZEB1+/- (generated using CRISPR-Cas9 gene editing) parental lines were initially generated, then transduced with lentivirus containing ZEB1 cDNA to generate ZEB1 transgenic lines of the parental lines.

Publication Title

ZEB1 insufficiency causes corneal endothelial cell state transition and altered cellular processing.

Sample Metadata Fields

Subject

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accession-icon SRP056159
Disease-Associated SNPs From non-Coding Regions in Juvenile Idiopathic Arthritis Are Located Within or Adjacent to Functional Genomic Elements of Human Neutrophils and CD4+ T Cells [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We sequenced mRNA from 3 neutrophil cells taken from 3 male adult to generate the gene expression profile of human neutrophil cells Overall design: Examination of mRNA levels in human neutrophils.

Publication Title

Disease-Associated Single-Nucleotide Polymorphisms From Noncoding Regions in Juvenile Idiopathic Arthritis Are Located Within or Adjacent to Functional Genomic Elements of Human Neutrophils and CD4+ T Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20286
Gene expression profiles induced by knockdown and overexpression of p63 variants in MCF-10A mammary epithelial cell line
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

p63 is critical for epithelial development yet little is known about the transcriptional programmes it regulates. The p63 transactivating (TA) isoforms contain an amino-terminal exon that encodes a p53-like transactivation domain, whereas N-isoforms lack this domain but contain the common DNA binding domain (DBD), suggesting that TAp63 and Np63 isoforms may have opposing functions. By characterising transcriptional changes and cellular effects following modulation of p63 expression, we have defined a vital role for p63 in cellular adhesion. Knockdown of p63 expression caused downregulation of cell adhesion-associated genes, cell detachment and anoikis in mammary epithelial cells and keratinocytes. Conversely, overexpression of the TAp63 or Np63 isoforms of p63 upregulated cell adhesion molecules, increased cellular adhesion and conferred resistance to anoikis.

Publication Title

p63 regulates an adhesion programme and cell survival in epithelial cells.

Sample Metadata Fields

Cell line

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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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