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accession-icon GSE137574
Kevetrin induces apoptosis in TP53 wild-type and mutant acute myeloid leukemia cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Tumor protein p53 is a key regulator of several cellular pathways, including DNA repair, cell cycle and angiogenesis. Kevetrin exhibits p53-dependent as well as independent activity in solid tumors, while its effects on leukemic cells remain unknown. We analyzed the response of acute myeloid leukemia (AML) cell lines (TP53 wild-type: OCI-AML3 and MOLM-13; and TP53-mutant: KASUMI-1 and NOMO-1) to kevetrin at a concentration range of 85-340 μM. Kevetrin induced cell growth arrest and apoptosis in all cell lines and in primary cells, with TP53-mutant models displaying a higher sensitivity and p53 induction. Gene expression profiling revealed a common core transcriptional program altered by drug exposure and the downregulation of glycolysis, DNA repair and unfolded protein response signatures. These findings suggest that kevetrin may be a promising therapeutic option for patients with both wild-type and TP53-mutant AML.

Publication Title

Kevetrin induces apoptosis in TP53 wild‑type and mutant acute myeloid leukemia cells.

Sample Metadata Fields

Treatment

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accession-icon SRP106034
mRNA Sequencing of Human PromoCells Using 3''-directed Digital Gene Expression (3''-DGE) Technique
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The differential gene expression of human cardiomyocytes induced by kinase inhibitors sorafenib and sunitinib is measured by a high-throughput mRNA-sequencing approach called 3''-DGE, that is based on a 3'' end-focused reference sequence library and a transcript molecule counting method with unique molecular identifiers (UMI) for correcting PCR bias. Overall design: Cells were treated with sunitinib, sorafenib, or vehicle control for 48 hours, and gene expression levels of all samples were measured by 3''-DGE and conventional random-primed mRNA-sequencing methods using paired-end reading to obtain the genome-wide expression profiles for each sample.

Publication Title

A Comparison of mRNA Sequencing with Random Primed and 3'-Directed Libraries.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE63239
Genome-wide microarray analysis of human fibroblasts in response to indomethacin and nimesulide.
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Establishment of a transcriptomic profile of human cells treated with genistein with particular emphasis on signature of genes coding for enzymes involved in glycosaminoglycan synthesis stands for the present study. The hypothesis tested was that indomethacin and nimesulide influence expression of some genes among which are those coding for enzymes required for synthesis of different GAGs being pathologically accumulated in mucopolysaccharidoses. Results provide important information concerning the extent of action of indomethacin and nimesulide at the molecular level in terms of modulation of gene expression by these substances.

Publication Title

Nonsteroidal anti-inflammatory drugs modulate cellular glycosaminoglycan synthesis by affecting EGFR and PI3K signaling pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE111843
The large non-coding RNA ANRIL, which is associated with atherosclerosis, periodontitis and several forms of cancer, regulates ADIPOR1, VAMP3 and C11ORF10 (lncRNA ANRIL exon 13)
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To identify genes that are regulated from the lncRNA ANRIL (EXON 13), we designed inducible short hairpin RNA constructs and stable integrated them into HEK cells

Publication Title

The large non-coding RNA ANRIL, which is associated with atherosclerosis, periodontitis and several forms of cancer, regulates ADIPOR1, VAMP3 and C11ORF10.

Sample Metadata Fields

Disease

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accession-icon GSE111844
Linear isoforms of the long noncoding RNA CDKN2B-AS1 regulate the c-myc-enhancer binding factor RBMS1
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To identify genes that are regulated from the lncRNA ANRIL (EXON19), we designed inducible short hairpin RNA constructs and stable integrated them into HEK cells

Publication Title

Linear isoforms of the long noncoding RNA CDKN2B-AS1 regulate the c-myc-enhancer binding factor RBMS1.

Sample Metadata Fields

Disease

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accession-icon SRP042091
Genome-wide expression profiles in young and old mouse liver [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging is accompanied by physiological impairments, which, in insulin-responsive tissues, including the liver, predispose individuals to metabolic disease. However, the molecular mechanisms underlying these changes remain largely unknown. Here, we analyze genome-wide profiles of RNA and chromatin organization in the liver of young (3 months) and old (21 months) mice. Transcriptional changes suggest that de-repression of the nuclear receptors PPARa, PPAR?, and LXRa in aged mouse liver leads to activation of targets regulating lipid synthesis and storage, whereas age-dependent changes in nucleosome occupancy are associated with binding sites for both known regulators (forkhead factors and nuclear receptors) and for novel candidates associated with nuclear lamina (Hdac3 and Srf) implicated to govern metabolic function of aging liver. Winged-helix factor Foxa2 and nuclear receptor co-repressor Hdac3 exhibit reciprocal binding pattern at PPARa targets contributing to gene expression changes that lead to steatosis in aged liver. Overall design: Genome-wide expression profiles (RNA-Seq) from young (3 months) and old (21 months) mouse livers

Publication Title

Changes in nucleosome occupancy associated with metabolic alterations in aged mammalian liver.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE31684
Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Urothelial carcinoma of the bladder is characterized by significant variability in clinical outcomes depending on stage and grade. The addition of molecular information may improve our understanding of such heterogeneity and enhance prognostic prediction. The purpose of this study was to validate and improve published prognostic signatures for high-risk bladder cancer.

Publication Title

Combination of a novel gene expression signature with a clinical nomogram improves the prediction of survival in high-risk bladder cancer.

Sample Metadata Fields

Sex

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accession-icon GSE61396
Identification of candidate rhinovirus C (RV-C) receptors by gene expression analysis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Members of rhinovirus C (RV-C) species are more likely to cause wheezing illnesses and asthma exacerbations compared to other rhinoviruses. The cellular receptor for these viruses was heretofore unknown. We measured gene expression (Human Gene 1.0 ST Array, Affymetrix) in two series of experiments involving cells that were either susceptible or not susceptible to RV-C infection. In one experimental series, susceptible cells included whole sinus mucosal tissue specimens (n = 5), epithelial cell suspension from sinus tissue, and nasal epithelium obtained via brushing, while non-susceptible cells included monolayers of primary undifferentiated epithelial cells and transformed cell lines (n = 5). In a second experimental series, we compared three pairs of undifferentiated and fully differentiated (ALI) sinus epithelial cell cultures. We identified a total of 12 genes upregulated in RV-C susceptible cells (represented by 14 probe sets) encoding proteins localized to plasma membrane, and/or with predicted or functionally demonstrated receptor activity, including members of the Human MHC class II, stomatin, guanine nucleotide-binding, type I cytokine and atypical chemokine receptor and cadherin protein families.

Publication Title

Cadherin-related family member 3, a childhood asthma susceptibility gene product, mediates rhinovirus C binding and replication.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE19844
affy_xoo_rice-Transcriptomics-based identification of Xoo strain BAI3 Talc targets in rice
  • organism-icon Oryza sativa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

affy_xoo_rice - affy_xoo_rice - The Bacterial Leaf Blight disease of rice is due to Xanthomonas oryzae pv. oryzae. As for many pathogenic bacteria, it relies on a type 3 secretion system that is devoted to the injection of type 3 effectors into the eukaryotic host cell. These proteins are meant to suppress host basal defense responses and/or mimic some host regulatory function promoting bacterial survey in the plant. We are interested in the functional analysis of a subgroup of Xoo T3Es, that are specialized in host cell transcriptome remodelling. These effectors, therefore called TAL for Transcription Activator-Like proteins (also named AvrBs3/PthA-like), are often key virulence factors essential to Xoo pathogenicity such as the effector protein Talc of african Xoo strain BAI3. Our goal is to understand its function during disease development, by identifying rice host genes that are being directly up- or down-regulated by Talc. To that end, we aim at performing Affymetrix transcriptomic analysis, comparing leaf samples of a susceptible rice line inoculated with Xoo to leaves challenged with a Talc-deficient mutant and water-treated leaves. Highly induced genes are likely to be Talc primary targets and therefore potentially good susceptibility gene candidates.-The goal of the experiment is to identify the rice genes up- or down-regulated by the type III effector Talc from Xoo African strain BAI3, upon the inoculation of susceptible rice leaves 24 hours post-infection. To that end, the experimental design includes the inoculation of Nipponbare rice leaves with the virulent Xoo strain BAI3, that will be compared to Nipponbare rice leaves inoculated with a talc K.O. mutant strain and water.

Publication Title

Colonization of rice leaf blades by an African strain of Xanthomonas oryzae pv. oryzae depends on a new TAL effector that induces the rice nodulin-3 Os11N3 gene.

Sample Metadata Fields

Specimen part

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accession-icon SRP171164
Linking cell dynamics with coexpression networks to characterize key events in chronic virus infections
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The host immune response against an infection requires the coordinated action of many diverse cell subsets that dynamically adapt to the pathogen threat. Here we combined WGCNA and DCQ to analyse time-resolved mouse splenic transcriptomes in acute and chronic LCMV infections. This approach allowed to better characterize the dynamic cell events occurring in complex tissues such as the induction of the adaptive T cell response which requires the coordination of monocytes/macrophages and CD8+ T cells. Overall design: mRNA profiles of CD8 T cells and macrophages (in duplicate days 0 and 7 post-infection) from C57BL/6 mice infected with 2x10E2 pfu of LCMV strain Docile, generated by deep sequencing.

Publication Title

Linking Cell Dynamics With Gene Coexpression Networks to Characterize Key Events in Chronic Virus Infections.

Sample Metadata Fields

No sample metadata fields

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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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