refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 32 results
Sort by

Filters

Technology

Platform

accession-icon GSE89489
EphA3 as a Target for Antibody Immunotherapy in Acute Lymphoblastic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The human EphA3 gene was discovered in a pre-B acute lymphoblastic leukemia (pre-B-ALL) using the EphA3-specific monoclonal antibody (mAb), IIIA4, which binds and activates both human and mouse EphA3. We use two models of human pre-B-ALL to examine EphA3 function, demonstrating effects on pre-B-cell receptor signaling. In therapeutic targeting studies, we demonstrated antitumor effects of the IIIA4 mAb in EphA3-expressing leukemic xenografts and no antitumor effect in the xenografts with no EphA3 expression providing evidence that EphA3 is a functional therapeutic target in pre-B-ALL. Here we show that the therapeutic effect of the anti-EphA3 antibody was greatly enhanced by adding an -particle-emitting 213Bismuth payload.

Publication Title

EphA3 as a target for antibody immunotherapy in acute lymphoblastic leukemia.

Sample Metadata Fields

Cell line

View Samples
accession-icon SRP087576
Adaptation of a RAS pathway activation signature from FF to FFPE tissues in colorectal cancer (FFPE RNA-Seq I)
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background: The KRAS gene is mutated in about 40% of colorectal cancer (CRC) cases, which has been clinically validated as a predictive mutational marker of intrinsic resistatnce to anti-EGFR inhibitor (EGFRi) therapy. Since nearly 60% of patients with a wild type KRAS fail to respond to EGFRi treatment, there is a need to develop more reliable molecular signatures to better predict response. Here we address the challenge of adapting a gene expression signature predictive of RAS pathway activation, created using fresh frozen (FF) tissues, for use with more widely available formalin fixed paraffin-embedded (FFPE) tissues. Methods: In this study, we evaluated the translation of an 18-gene RAS pathway signature score from FF to FFPE in 54 CRC cases, using a head-to-head comparison of five technology platforms. FFPE-based technologies included the Affymetrix GeneChip (Affy), NanoString nCounter(NanoS), Illumina whole genome RNASeq (RNA-Acc), Illumina targeted RNASeq(t-RNA), and Illumina stranded Total RNA-rRNA-depletion (rRNA). Results: Using Affy_FF as the "gold" standard, initial analysis of the 18-gene RAS scores on all 54 samples shows varying pairwise Spearman correlations, with (1) Affy_FFPE(r=0.233, p=0.090); (2) NanoS_FFPE(r=0.608, p<0.0001); (3) RNA-Acc_FFPE(r=0.175, p=0.21); (4) t-RNA_FFPE (r=-0.237, p=0.085); and (5) t-RNA (r=-0.012, p=0.93). These results suggest that only NanoString has successful FF to FFPE translation. The subsequent removal of identified "problematic" samples (n=15) and gene (n=2) further improves the correlations of Affy_FF with three of the five technologies: Affy_FFPE (r=0.672, p<0.0001); NanoS_FFPE (r=0.738, p<0.0001); and RNA-Acc_FFPE (r=0.483, p=0.002). Conclusions: Of the five technology platforms tested, NanoString technology provides a more faithful translation of the RAS pathway gene expression signature from FF to FFPE than the Affymetrix GeneChip and multiple RNASeq technologies. Moreover, NanoString was the most forgiving technology in the analysis of samples with presumably poor RNA quality. Using this approach, the RAS signature score may now be reasonably applied to FFPE clinical samples. Overall design: Fifty-four (54) FFPE evaluable tumor specimens were selected from a larger multi-center cohort of 468 well-characterized colorectal adenocarcinoma patients whose tissues were obtained between October 2006 and September 2010 at the University of South Florida. The sample cohort was composed of tumor samples that were available as matched fresh-frozen (FF) and formalin-fixed paraffin-embedded (FFPE) pairs.

Publication Title

Adaptation of a RAS pathway activation signature from FF to FFPE tissues in colorectal cancer.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE25913
Gene expression profiling of the classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+) human monocyte subsets
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

The new official nomenclature subdivides human monocytes into three subsets, classical (CD14++CD16-), intermediate (CD14++CD16+) and nonclassical (CD14+CD16+). Here, we comprehensively define relationships and unique characteristics of the three human monocyte subsets using microarray and flow cytometry analysis. Our analysis revealed that the intermediate and nonclassical monocyte subsets were most closely related. For the intermediate subset, majority of genes and surface markers were expressed at an intermediary level between the classical and nonclassical subset. There features therefore indicate a close and direct lineage relationship between the intermediate and nonclassical subset. From gene expression profiles, we define unique characteristics for each monocyte subset. Classical monocytes were functionally versatile, due to the expression of a wide range of sensing receptors and several members of the AP-1 transcription factor family. The intermediate subset was distinguished by high expression of MHC class II associated genes. The nonclassical subset were most highly differentiated and defined by genes involved in cytoskeleton rearrangement that explains their highly motile patrolling behavior in vivo. Additionally, we identify unique surface markers, CLEC4D, IL-13RA1 for classical, GFRA2, CLEC10A for intermediate and GPR44 for nonclassical. Our study hence defines the fundamental features of monocyte subsets necessary for future research on monocyte heterogeneity.

Publication Title

Gene expression profiling reveals the defining features of the classical, intermediate, and nonclassical human monocyte subsets.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE55650
p38 MAPK activation upregulates pro-inflammatory pathways in skeletal muscle cells from insulin resistant type 2 diabetic patients
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Skeletal muscle is the key site of peripheral insulin resistance in type 2 diabetes. Insulin-stimulated glucose uptake is decreased in differentiated diabetic myotubes in keeping with a retained genetic/epigenetic defect of insulin action.

Publication Title

p38 MAPK activation upregulates proinflammatory pathways in skeletal muscle cells from insulin-resistant type 2 diabetic patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon E-MEXP-509
Transcription profiling by of Arabidopsis leaves after infection with Potyvirus turnip mosaic virus
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

A model system of Potyvirus turnip mosaic virus and Arabidopsis was used in this experiment. GFP-tagged virus supplied a visualized marker for us to localize the viral infection foci and its expansion on leaf under UV light. Initially, we dissect an individual infection focus and its adjacent region into four parts and define those four parts as zone 0, 1, 2, and 3, which represented different viral infection stages respectively. Corresponding fours parts were also dissected from control plant treated with turnip leaf sap only. This process was replicated three times totally.

Publication Title

Spatial analysis of arabidopsis thaliana gene expression in response to Turnip mosaic virus infection.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE14464
PUR alpha protein induces endoplasmic reticulum stress response and cell differentiation pathways in prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Following androgen ablation treatment for advanced prostate cancer, almost all men relapse after a period of initial response to therapy, which eventually is life threatening. We have previously found that purine-rich element binding protein, PUR alpha, was significantly repressed in androgen-independent prostate cancer cell lines in comparison to an androgen-dependent line. Moreover, over-expressing PURa in androgen-independent prostate cancer cells attenuated their cell proliferation. The aim of the studies described here was to uncover some of the mechanisms by which over-expression of PURa attenuates cell proliferation.

Publication Title

Purine-rich element binding protein (PUR) alpha induces endoplasmic reticulum stress response, and cell differentiation pathways in prostate cancer cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE29623
mRNA and microRNA profile in colon cancer
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Complementary strand microRNAs mediate acquisition of metastatic potential in colonic adenocarcinoma.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE29621
mRNA and microRNA profile in colon cancer [mRNA data]
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Compariosn of mRNA and miRNA profile in colon cancer

Publication Title

Complementary strand microRNAs mediate acquisition of metastatic potential in colonic adenocarcinoma.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE53283
Expression data from GFP control and GFP-PRDM1 transduced H9 hESCS
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The mechanisms of transcriptional regulation underlying human primordial germ cell differentiation are largely unknown. Transcriptional repressor Prdm1/Blimp1 is known to play a critical role in controlling germ cell specification in mice. We show that ectopic expression of PRDM1 in hESCs promotes the generation of cells exhibiting transcriptomic features of early primordial germ cells.

Publication Title

Suppression of the SOX2 neural effector gene by PRDM1 promotes human germ cell fate in embryonic stem cells.

Sample Metadata Fields

Time

View Samples
accession-icon SRP052235
HP1 is involved in regulating the global impact of DNA methylation on alternative splicing
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon

Description

The global impact of DNA methylation on alternative splicing is largely unknown. Using a genome-wide approach in wild-type and methylation-deficient embryonic stem cells, we found that DNA methylation can act both as an enhancer and as a silencer of splicing, and affects the splicing of more than 20% of alternative exons. These exons are characterized by distinct genetic and epigenetic signatures. Alternative splicing regulation of a subset of these exons can be explained by Heterochromatin protein 1 (HP1), which silences or enhances exon recognition in a position-dependent manner. We constructed an experimental system using site-specific targeting of a methylated/unmethylated gene, and demonstrate a direct causal relationship between DNA methylation and alternative splicing. HP1 regulates this gene’s alternative splicing in a methylation-dependent manner by recruiting splicing factors to its methylated form. Our results demonstrate DNA methylation''s significant global influence on mRNA splicing, and identify a specific mechanism of splicing regulation mediated by HP1. Overall design: BS-seq on WT mouse ES cells (2 replicates), MNase-seq on WT and TKO cells (3 replicates), mRNA-seq on WT and TKO cells as well as HP1 knock-down cells (2 replicates for each sample)

Publication Title

HP1 is involved in regulating the global impact of DNA methylation on alternative splicing.

Sample Metadata Fields

No sample metadata fields

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact