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accession-icon SRP033518
Subclone of resistant CT26 murine tumor shows high sensitivity to VA7 virotherapy: A novel system to study innate immunity and antigen dominance in oncolytic immuno-virotherapy
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Recently, attenuated Semliki Forest virus vector VA7 completely eliminated type I interferon (IFN) unresponsive human U87 glioma xenografts while IFN responsive mouse GL261 and CT-2A gliomas proved refractory to the oncolytic virotherapy. Here we describe in two clones of a well established Balb/c mouse tumor cell line, CT26 murine colon carcinoma, diametrically opposed IFN responsiveness and sensitivity to oncolytic virus. Both CT26WT and CT26LacZ clones secreted biologically active type I IFN in vitro upon infection but virus replication was self-limiting only in CT26WT cells. Total transcriptome sequencing (RNA-Seq) and western blotting experiments revealed that in sharp contrast to CT26LacZ cells, CT26WT cells had strong constitutive expression of 56 different genes associated with pattern recognition and type I interferon signaling pathways, spanning two reported anti-RNA virus gene signatures and22 genes that have been reported to have direct anti-Alphaviral activity. Correspondingly, only CT26LacZ tumors were infectable in vivo, resulting in rapid central necrosis of the  tumors by 96 hours post infection and complete tumor eradication both in immunocompetent and in SCID mice. CT26LacZ tumor eradication by oncolysis induced 100% protective immunity against homologous CT26LacZ challenge but only 50% protection against heterologous CT26WT challenge, indicating LacZ immune dominance over shared antigens. We believe the two clone CT26 system  described herein constitutes a challenging yet realistic model for clonally and immunologically heterogeneous cancer where a strong therapy efficacy bias toward sensitive tumor subpopulations might falsely predict therapeutic success on a broad patient scale highlighting the necessity of successful pre-screening for responsive tumors. Overall design: RNA-Seq in CT26 tumor cell line

Publication Title

Clonal variation in interferon response determines the outcome of oncolytic virotherapy in mouse CT26 colon carcinoma model.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89809
Multi-tissue transcriptomics delineates the diversity of airway T cells functions in asthma
  • organism-icon Homo sapiens
  • sample-icon 145 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Asthma arises from the complex interplay of inflammatory pathways in diverse cell types and tissues including epithelial and T cells.

Publication Title

Multitissue Transcriptomics Delineates the Diversity of Airway T Cell Functions in Asthma.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE23687
Expression data from SPARKS CHARMS JIA cohort
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression on peripheral blood mononuclear cells (PBMC) from SPARKS CHARMS juvenile idiopathic arthritis (JIA) cohort pre and post methotrexate therapy. This is the first study to our knowledge, to evaluate gene expression profiles in children with JIA before and after MTX, and to analyze genetic variation in differentially expressed genes. We have identified a gene, which may contribute to genetic variability in MTX response in JIA.

Publication Title

Generation of novel pharmacogenomic candidates in response to methotrexate in juvenile idiopathic arthritis: correlation between gene expression and genotype.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE114669
OnPLS-based multi-block data integration: a multivariate approach to interrogating biological interactions in asthma
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Integration of multi-omics data remains a key challenge in fulfilling the potential of comprehensive systems biology.

Publication Title

OnPLS-Based Multi-Block Data Integration: A Multivariate Approach to Interrogating Biological Interactions in Asthma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon SRP127343
Systematic functional characterization of BAF mutations yields novel intra-complex synthetic lethalities [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Aberrations in genes coding for subunits of the BAF chromatin remodeling complex are highly abundant in human cancers. Currently, it is not understood how these loss-of-function mutations contribute to cancer development and how they can be targeted therapeutically. The cancer type specific occurrence patterns of certain subunit mutations suggest subunit-specific effects on BAF complex function, possibly by the formation of aberrant residual complexes. Here, we systematically characterize the effects of individual subunit loss on complex composition, chromatin accessibility and gene expression in a panel of knock-out cell lines deficient for 22 targetable BAF subunits. We observe strong, specific and often discordant alterations dependent on the targeted subunit and show that these explain intra-complex co-dependencies, including the novel synthetic lethal interactions SMARCA4-ARID2, SMARCA4-ACTB and SMARCC1-SMARCC2. These data provide insights into the role of different BAF subcomplexes in genome-wide chromatin organization and suggest novel approaches to therapeutically target BAF mutant cancers. Overall design: RNA-seq samples for knockouts of BAF complex in the HAP1 cell line.

Publication Title

Systematic characterization of BAF mutations provides insights into intracomplex synthetic lethalities in human cancers.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE74259
Yeast response to TFM exposure: time course
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Microarray analysis was used for a global investigation of the cellular effects of acute 3-trifluoromethyl-4-nitrophenol (TFM) exposure on Saccharomyces cerevisiae over time. TFM is used to control sea lamprey (Petromyzon marinus) populations in the Lake Champlain and Great Lakes regions. Little is known about the changes in gene expression due to TFM exposure so this time course microarray study was performed to reveal significantly altered patterns of gene expression when yeast cultures were exposed to 0.05mM TFM over four hours.

Publication Title

Exposure to the lampricide 3-trifluoromethyl-4-nitrophenol results in increased expression of carbohydrate transporters in Saccharomyces cerevisiae.

Sample Metadata Fields

Time

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accession-icon GSE67999
Secreted frizzled related protein 3 (SFRP3) is required for tumorigenesis of PAX3-FOXO1-positive alveolar rhabdomyosarcoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Alveolar rhabdomyosarcoma (aRMS) is a soft tissue sarcoma associated with the skeletal muscle lineage. The majority of aRMS tumors express the fusion protein PAX3-FOXO1 (PF), which has proven chemically intractable. As such, we identified proteins downstream from or cooperate with PF to support tumorigenesis, including SFRP3 (FRZB). Suppression of SFRP3 using lentivirally transduced shRNAs inhibits cell growth in vitro and tumor growth in vivo. This study aims to identify the genetic changes that underlie the SFRP3 suppression-mediated decreased cell growth. We analyzed changes using Gene Ontology (GO) enrichment and found the induced genes were enriched in striated muscle development/differentiation. In contrast, the repressed genes were enriched in response to stimulus and cell cycle/mitosis genes. We also observed as expected downregulation of SFRP3 (FRZB) but also downregulation of Wnt pathway-repressing genes such as CTBP2 (a transcriptional repressor of TCF, similar to CTBP1 ) and NAV2 (which is downstream from APC). Conversely, we noted upregulation of genes including CCND1 (cyclin D1) and SNAI2 (SLUG), both Wnt signaling target genes and WNT6, which is known to inhibit myoblast proliferation but induce myoblast elongation.

Publication Title

Secreted Frizzled-Related Protein 3 (SFRP3) Is Required for Tumorigenesis of PAX3-FOXO1-Positive Alveolar Rhabdomyosarcoma.

Sample Metadata Fields

Disease, Cell line, Treatment

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accession-icon GSE26554
Genome-wide association analysis of juvenile idiopathic arthritis identifies a new susceptibility locus at chromosomal region 3q13.
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Juvenile idiopathic arthritis (JIA) is the most common chronic childhood rheumatic disease in the Western world. To identify novel JIA predisposing loci, a genome-wide association study (GWAS) in 814 Caucasian JIA cases and 3058 Caucasian controls was completed. After adjusting for the most significant HLA associations, the strongest novel associations included rs6479891 (10q21, odds ratio (OR)=1.59, P=1.3x10-8) and rs10761747 (OR=1.34, P=4.0x10-5) within JMJD1C; rs12719740 (15q26, OR=1.47, P=3.3x10-7) near FAM169B; rs4688011 (3q13, OR=1.33, P=1.1x10-4) within C3orf1 and rs4254850 (4q31, OR=0.85, P=7.8x10-3) near IL15. Eleven SNPs were genotyped in Caucasian replication cohorts (1744 cases, 7010 controls) and meta-analysis continued to provide evidence for association with three of the SNPs (rs6479891, P=4.3x10-5; rs12719740, P=5.2x10-4; rs4688011, P=3.6x10-7). Analysis of expression data from 68 JIA cases and 23 controls overlapping in the GWAS cohort1 and published lymphoblastoid cell lines (LCL)2 showed cis eQTL associations for JMJD1C SNPs (P=0.01 and P=1.6x10-6, respectively), and the C3orf1 SNP (P=5.7x10-6).

Publication Title

Genome-wide association analysis of juvenile idiopathic arthritis identifies a new susceptibility locus at chromosomal region 3q13.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Race

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accession-icon SRP144188
RNA Sequencing of Human iPS derived Cardiomyocytes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To investigate transcriptional differences between HCM and WT cells Overall design: Examination of HCM vs WT Cells, with 3 replicates of each sample

Publication Title

A Contraction Stress Model of Hypertrophic Cardiomyopathy due to Sarcomere Mutations.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon SRP060370
Transcriptional Signatures of Hypoxic and Inflammatory Renal Epithelial Injury
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To identify RNA transcripts involved in acute and chronic renal epithelial injury, we performed unbiased whole transcriptome profiling of human proximal tubular epithelial cells (PTECs) in hypoxic and inflammatory conditions. RNA sequencing (RNA-seq) revealed that the protein-coding and noncoding transcriptomic landscape differed between hypoxia-stimulated and cytokine-stimulated human PTECs. Overall design: Examination of transcriptomic response of human PTECs to hypoxic or inflammatory injury

Publication Title

The long noncoding RNA landscape in hypoxic and inflammatory renal epithelial injury.

Sample Metadata Fields

Specimen part, Treatment, 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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