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accession-icon GSE18198
Expression profile of human T-ALL cell lines treated with DMSO or SAHM1
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

NOTCH proteins regulate signaling pathways involved in cellular differentiation, proliferation and death. Overactive Notch signaling as been observed in numerous cancers and has been extensively studied in the context of T-cell acute lymphoblastic leukemia (T-ALL) where more than 50% of pateints harbour mutant NOTCH1. Small molecule modulators of these proteins would be important for understanding the role of NOTCH proteins in malignant and normal biological processes.

Publication Title

Direct inhibition of the NOTCH transcription factor complex.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP069063
Transcriptomic profiling discloses molecular and cellular events related to neuronal differentiation in SH-SY5Y cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

Human SH-SY5Y neuroblastoma cells are widely utilized in in vitro studies to dissect out pathogenetic mechanisms of neurodegenerative disorders. These cells are considered as neuronal precursors and differentiate into more mature neuronal phenotypes under selected growth conditions. In this study, we performed systematic transcriptomic (RNA-seq) and bioinformatic analysis to pinpoint pathways and cellular processes underlying neuronal differentiation of SH-SY5Y cells according to a two-step paradigm: retinoic acid treatment followed by enriched neurobasal medium. Categorization of 1989 differentially expressed genes (DEGs) identified in differentiated cells outlined meaningful biological functions associated with changes in cell morphology including remodelling of plasma membrane and cytoskeleton, neuritogenesis. Seventy-three DEGs were assigned to Axonal Guidance Signalling pathway, and the expression of selected gene products such as neurotrophin receptors, the functionally related SLITRK6, and semaphorins, was validated by immunoblotting. Along with these findings, the differentiated cells exhibited the ability to elongate longer axonal process as assessed by the morphometric evaluation. Recognition of molecular events occurring in differentiated SH-SY5Y cells is necessary to accurately interpret the cellular responses to specific stimuli in studies on disease pathogenesis. Overall design: Comparison of cell line SH-SY5Y differentiated and undifferentiated.

Publication Title

Transcriptomic Profiling Discloses Molecular and Cellular Events Related to Neuronal Differentiation in SH-SY5Y Neuroblastoma Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE74514
The isopeptidase inhibitor 2cPE triggers proteotoxic stress and ATM activation in chronic lymphocytic leukemia cells.
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

In this study we investigated changes in gene expression induced by 2cPE (a non-selective isopeptidase inhibitor) in leukemia cells isolated from 10 different patients suffering of B-cell chronic lymphocytic leukemia. We compared 2cPE induced changes in mRNA levels with those induced by bortezomib, another well characterized proteasome inhibitor. Both inhibitors trigger apoptosis in leukemia cells.

Publication Title

The isopeptidase inhibitor 2cPE triggers proteotoxic stress and ATM activation in chronic lymphocytic leukemia cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE21547
Angio-modulation in endothelial cells: an unexpected role of desmoglein-2 in regulating actin dynamics and its relevance to angiogenesis deregulation in systemic sclerosis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression study of DSG2 silenced human microvascular endothelial cells

Publication Title

Desmoglein-2-integrin Beta-8 interaction regulates actin assembly in endothelial cells: deregulation in systemic sclerosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE17204
Parkinson's disease-associated DJ-1 is required for the expression of GDNF receptor Ret in human neuroblastoma cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

DJ-1 is an atypical peroxiredoxin-like peroxidase that may act as a redox-dependent chaperone and a regulator of transcription. To explore DJ-1-mediated transcriptional control in Parkinsons disease (PD), we generated human neuroblastoma cells with inducible knock-down of DJ-1 expression. We then used functional genomic techniques to identify novel pathways dysregulated by loss of DJ-1 function. Using microarray gene expression profiling, we found that DJ-1 silencing alters the expression of 26 genes, with 10 down-regulated and 16 up-regulated transcripts. Among the down-regulated genes we found Ret, tyrosine kinase receptor for the neurotrophic factor GDNF. Taking advantage of Ingenuity Pathways Analysis, we identified hypoxia inducible factor 1 alpha (Hif1a) as a possible mediator of the interplay between DJ-1 and Ret. We show that Hif1a is stabilized in the absence of DJ-1, and that loss of DJ-1 generates hypoxia and accumulation of free radical species (ROS). Overexpression of wt DJ-1, but not of C106A and L166P mutants deficient in ROS scavenger activity, rescues Ret expression in neuroblastoma cells. These findings reveal novel players in PD pathogenesis and provide evidence for additional pathways involved in DJ-1-mediated neurodegeneration.

Publication Title

Parkinson disease-associated DJ-1 is required for the expression of the glial cell line-derived neurotrophic factor receptor RET in human neuroblastoma cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE89792
Gene Expression Profiling of Patient-Derived Pancreatic Cancer Xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: Implications to individualized medicine efforts
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

c-Myc controls more than 15% of genes responsible for proliferation, differentiation, and cellular metabolism in pancreatic as well as other cancers making this transcription factor a prime target for treating patients. The transcriptome of 55 patient derived xenografts show that 30% of them share an exacerbated expression profile of MYC transcriptional targets (MYC-high). This cohort is characterized by a high level of Ki67 staining, a lower differentiation state and a shorter survival time compared to the MYC-low subgroup. To define classifier expression signature, we selected a group of 10 MYC targets transcripts which expression is increased in the MYC-high group and 6 transcripts increased in the MYC-low group. We validated the ability of these markers panel to identify MYC-high patient-derived xenografts from both: discovery and validation cohorts as well as primary cells cultures from the same patients. We then showed that cells from MYC-high patients are more sensitive to JQ1 treatment compared to MYC-low cells, in both monolayer and 3D cultured spheroids, due to cell cycle arrest followed by apoptosis. Therefore, these results provide new markers and potentially novel therapeutic modalities for distinct subgroups of pancreatic tumors and may find application to the future management of these patients within the setting of individualized medicine clinics.

Publication Title

Gene expression profiling of patient-derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine efforts.

Sample Metadata Fields

Disease

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accession-icon GSE64669
Expression data from diploid and aneuoploid human pluripotent stem cells-derived teratomas
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Teratoma formation is the gold standard assay for testing the capacity of human stem cells to differentiate into all embryonic germ layers. Although widely used, little effort has been made to transform this qualitative assay into a quantitative one. Using gene expression data from a wide variety of cells, we created a gene scorecard representing tissues from all three germ layers as well as an extraembryonic tissue. A calculated grade using this gene list successfully distinguishes pluripotent stem cell-initiated teratomas from malignant tumors, thereby translating cell potency into a quantitative measure. This new methodology, named TeratoScore, thus assesses the pluripotency of human cells, and is easily performed using an open-source code. The new teratoma database also allowed us to examine the gene expression differences between tumors with a diploid karyotype and those initiated by aneuploid cells. We found that while teratomas originating from aneuploid cells pass the TeratoScore benchmark for pluripotency, they exhibit aberrant gene expression congruent with human chromosomal syndromes (such as Down syndrome). This gene expression signature is significantly different from that of teratomas originating from diploid cells, particularly in central nervous system-specific genes, suggesting aberrant teratomas may be beneficial for in vivo disease modeling. Teratoma formation followed by TeratoScore analysis can rapidly assess cell potency and allows comparison between different pluripotent cell lines.

Publication Title

TeratoScore: Assessing the Differentiation Potential of Human Pluripotent Stem Cells by Quantitative Expression Analysis of Teratomas.

Sample Metadata Fields

Cell line

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accession-icon GSE54892
LRH-1 governs vital transcriptional programs in endocrine sensitive and resistant breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

LRH-1 governs vital transcriptional programs in endocrine-sensitive and -resistant breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE54891
LRH-1 governs vital transcriptional programs in endocrine sensitive and resistant breast cancer cells: Expression profiling
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Tumor characteristics are decisive in the determination of treatment strategy for breast cancer patients. Patients with estrogen receptor- (ER) positive breast cancer can benefit from long-term hormonal treatment. Nonetheless, the majority of patients will develop resistance to these therapies. Here, we investigated the role of the liver receptor homolog-1 (LRH-1, NR5A2) in anti-estrogen (AE) sensitive and resistant breast cancer cells. We identified genome-wide LRH-1 binding sites using ChIP-seq, uncovering preferential binding to regions distal to transcriptional start sites (TSS). We further characterized these LRH-1 binding sites by integrating overlapping layers of specific chromatin marks, revealing that many LRH-1 binding sites are active and could be involved in long-range enhancer-promoter looping. Combined with transcriptome analysis of LRH-1 depleted cells, these results show that LRH-1 regulates specific subsets of genes involved in cell proliferation in AE-sensitive and AE-resistant breast cancer cells. Furthermore, the LRH-1 transcriptional program is highly associated with signature of poor outcome breast cancer tumors in vivo. Herein report the genome-wide location and molecular function of LRH-1 in breast cancer cells and reveal its therapeutic potential for the treatment of breast cancers, notably for tumors resistant to treatments currently used in therapies.

Publication Title

LRH-1 governs vital transcriptional programs in endocrine-sensitive and -resistant breast cancer cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE84887
Molecular Characterization of Down Syndrome Embryonic Stem Cells Reveals a Role for RUNX1 in Neural Differentiation
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Down syndrome (DS) is the leading genetic cause of mental retardation and is caused by a third copy of human chromosome 21. The different pathologies of DS involve many tissues with a distinct array of neural phenotypes. Here we characterize new embryonic stem cell lines with DS (DS-ESCs), and focus on the neural aspects of the diease. Our results show that neural progenitor cells (NPCs) differentiated from five independent DS-ESC lines display increased apoptosis and down-regulation of forehead developmental genes. Analysis of differentially expressed genes suggested RUNX1 as a key transcription regulator in DS-NPCs. Using genome editing we were able to disrupt all three copies of RUNX1 in DS-ESCs, leading to down-regulation of several RUNX1 target developmental genes accompanied by reduced apoptosis and neuron migration. Our work sheds new light on the role of RUNX1 and the importance of dosage balance in the development of neural phenotypes in DS.

Publication Title

Molecular Characterization of Down Syndrome Embryonic Stem Cells Reveals a Role for RUNX1 in Neural Differentiation.

Sample Metadata Fields

Sex, Specimen part

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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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