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accession-icon SRP038773
mRNA sequencing of two brain regions (prefrontal cortex and hippocampus) and left myocardial tissue in mice with chronic heart failure vs. sham-operated control mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

After induction of ischemic chronic heart failure (CHF), mice exhibited depression-like behavior, in terms of increased anhedonia, and decreased both exploratory activity and interest in novelty. On histology, ischemic CHF mice showed no alterations in overall cerebral morphology. To further evaluate relevant behavioral changes found in CHF mice, RNA-sequencing analysis of prefrontal cortex and hippocampus - the brain regions, whose structural and functional alterations are associated with an increased risk for developing major depressive disorder - and of left myocardial tissue was performed in CHF vs. sham-operated animals. RNA-sequencing revealed relevant changes in hippocampal or prefrontal cortical expression of genes responsible for axonal vesicle transport (Kif5b), signal transduction (Arc, Gabrb2), limitation of inflammation (RORA; Nr4a1) and of hypoxic brain damage (Hif3a). Besides, the actual literature describes some of the genes (RORA, Gabrb2, Npas4, and Junb) being associated with depression-like behavior. Nr4a1 significantly regulated in both brain and heart tissue after induction of ischemic CHF could be a potential link and reveals the central role of inflammation in the interrelation of the brain and the failing heart. Overall design: Heart failure vs. sham-operation were performed in C57BL/6 male mice. After development of chronic heart failure (CHF) 8 weeks after the operation RNA was extracted out of prefrontal cortex, hippocampus and left ventricular myocardium in both groups. RNA of 3 ischemic CHF mice versus 6 sham operated mice was pooled and further subjected to RNA sequencing. To fabricate singular pools each probe of the group equally contributed with the final amount of 2 µg RNA per pool with the result that we had 6 different pools to be further evaluated. The mRNA profile was generated by IGA Technology, Italy (http://www.igatechnology.com/) by deep sequencing, using Illumina HiSeq 2000 platform (HiSeq). CLC-Bio Genomics Workbench software (CLC Bio, Denmark) was used to calculate gene expression levels based on Mortazavi et al. (Nat Methods. 2008;5:621-628) approach.

Publication Title

Experimental heart failure causes depression-like behavior together with differential regulation of inflammatory and structural genes in the brain.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28466
Induction of ER stress in the colon cancer cell line LS174 with SubAB
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

To assess the effect of activation of the unfolded protein response (UPR) in colon cancer cell lines, we treated cells with the AB5 subtilase cytotoxin (SubAB). This proteolytically cleaves the 78-kDa glucose-regulated protein (GRP78; also known as HSPA5 or BiP) inside the endoplasmic reticulum. We find that the WNT signaling pathway is highly affected upon treatment with SubAB.

Publication Title

ER stress causes rapid loss of intestinal epithelial stemness through activation of the unfolded protein response.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE92355
Effects of POTEF-AS1 knockdown in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified POTEF-AS1 is an androgen-regulated non-coding RNA gene.

Publication Title

Androgen-induced lncRNA POTEF-AS1 regulates apoptosis-related pathway to facilitate cell survival in prostate cancer cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE58309
The role of AR-associated factors in androgen signaling
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified androgen-regulated genes, CTBP2, FOXP1 and RUNX1. These factors interact with AR ligand dependently.

Publication Title

CtBP2 modulates the androgen receptor to promote prostate cancer progression.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE11184
Gamma-secretase inhibitors reverse glucocorticoid resistance in T-ALL
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Gamma-secretase inhibitors (GSIs), which block the activation of NOTCH receptors, are being tested in the treatment of T-cell acute lymphoblastic leukemia (T-ALL). Thus far, limited antileukemic cytotoxicity and severe gastrointestinal toxicity have restricted the clinical application of these targeted drugs. Here we show that combination therapy with GSIs plus glucocorticoids can improve the antileukemic effects of GSIs and reduce their gut toxicity in vivo. Inhibition of NOTCH1 signaling in glucocorticoid-resistant T-ALL restored glucocorticoid receptor auto-up-regulation and induced apoptotic cell death through induction of BIM expression. Additionally, cotreatment with glucocorticoids induced Ccnd2 upregulation in the gut which protected mice from the intestinal secretory metaplasia typically induced by loss of NOTCH signaling. These results support a role for glucocorticoids plus GSIs in the treatment of glucocorticoid-resistant T-ALL.

Publication Title

Gamma-secretase inhibitors reverse glucocorticoid resistance in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE7067
Synergistic interaction of gamma-secretase inhibitor therapy and glucocorticoids in T-ALL
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Glucocorticoids are an essential component of the treatment of lymphoid malignancies and resistance to glucocorticoid therapy constitutes a prominent clinical problem in relapsed and refractory lymphoblastic leukemias. Constitutively active NOTCH signaling is involved in the pathogenesis of over 50% of T-cell lymphoblastic leukemia (T-ALL) which harbor activating mutations in the NOTCH1 gene. Aberrant NOTCH1 signaling has been shown to protect normal thymocytes from glucocorticoid induced cell death. Here we analyzed the interaction of glucocorticoid therapy with inhibition of NOTCH signaling in the treatment of T-ALL. Gamma-secretase inhibitors (GSI), which block the activation of NOTCH receptors, amplified the transcriptional changes induced by glucocorticoid treatment, including glucocorticoid receptor autoinduction and restored sensitivity to dexamethasone in glucocorticoid-resistant T-ALL cells. Apoptosis induction upon inhibition of NOTCH signaling and activation of the glucocorticoid receptor was dependent on transcriptional upregulation of BIM and subsequent activation of the mitochondrial/intrinsic cell death pathway. Finally, we used a mouse xenograft model of T-ALL to demonstrate that combined treatment with dexamethasone and a GSI results in improved antileukemic effects in vivo. These studies provide insight in the mechanisms of glucocorticoid resistance and serve as rationale for the use of glucocorticoid and GSIs in combination in the treatment of T-ALL.

Publication Title

Gamma-secretase inhibitors reverse glucocorticoid resistance in T cell acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056957
Transcriptome dynamics of developing photoreceptors in 3-D retina cultures recapitulates temporal sequence of human cone and rod differentiation revealing cell surface markers and gene networks
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

To define molecular mechanisms underlying rod and cone differentiation, we generated H9 human embryonic stem cell line carrying a GFP reporter that is controlled by the promoter of cone-rod homeobox (CRX) gene, the first known marker of post-mitotic photoreceptor precursors. CRXp-GFP reporter in H9 line replicates endogenous CRX expression when induced to form self-organizing 3-D retina-like tissue. We define temporal transcriptome dynamics of developing photoreceptors during the establishment of cone and rod cell fate. Our studies provide an essential framework for delineating molecules and cellular pathways that guide human photoreceptor development and should assist in chemical screening and cell-based therapies of retinal degeneration. Overall design: Undifferentiated CRXp-GFP HP hES cells and 3D-neural retina were collected at days 37, 47, 67 and 90 and dissociated into single cells. Cells were sorted at 4°C and by FACSAria (Becton Dickinson). GFP+ and GFP- cells were separately collected. Total RNA was extracted by RNA purification kit (Norgen Biotek) and analyzed by 2100 Bioanalyzer (Agilent Technologies Genomics). High quality of total RNA (RIN: 7.7-9.2) was subjected to libraries construction using 40-60 ng of total RNA as input. Libraries were constructed using a stranded modification of the Illumina TruSeq mRNA (Brooks, et al. Meth Mol Biol 2012). Each library was single-end sequenced in an independent lane of a GAIIx at a length of 76 bases. Fastq files were generated from reads passing chastity filter.

Publication Title

Transcriptome Dynamics of Developing Photoreceptors in Three-Dimensional Retina Cultures Recapitulates Temporal Sequence of Human Cone and Rod Differentiation Revealing Cell Surface Markers and Gene Networks.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE100239
Effects of PSF knockdown in castration-resistant prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Androgen-deprivation therapy is the first-line treatment strategy for advanced prostate cancer. However, many tumors develop to castration-resistant prostate cancer (CRPC) and relapse. Thus, analyzing key factors for development of CRPC is important. We found PSF functions as RNA binding protein and transcription factor to promote castration-resistant tumor growth. High expression of PSF in metastatic prostate cancer tissue indicates the clinical relevance.

Publication Title

Dysregulation of spliceosome gene expression in advanced prostate cancer by RNA-binding protein PSF.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE62454
Effects of RUNX1 knockdown in AR signaling
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. We identified RUNX1 is an androgen-regulated gene.

Publication Title

RUNX1, an androgen- and EZH2-regulated gene, has differential roles in AR-dependent and -independent prostate cancer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE66039
Global analysis of androgen-signaling reveals the function of miRNAs for the epigenomic regulation in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TET2 repression by androgen hormone regulates global hydroxymethylation status and prostate cancer progression.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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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Developed by the Childhood Cancer Data Lab

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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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