refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 467 results
Sort by

Filters

Technology

Platform

accession-icon GSE18608
Transcriptional Profiling of CD133+ Cells in Coronary Artery Disease and Effects of Exercise on Gene Expression
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Bone marrow-derived progenitor cells are under investigation for cardiovascular repair, but may be altered by disease. We identified 82 differentially expressed genes in CD133+ cells from patients with coronary artery disease (CAD) versus controls, of which 59 were found to be up-regulated and 23 down-regulated. These genes were found to be involved in carbohydrate metabolism, cellular development and signaling, molecular transport and cell differentiation. Following completion of an exercise program, gene expression patterns resembled those of controls in 7 of 10 patients.

Publication Title

Transcriptional profiling of CD133(+) cells in coronary artery disease and effects of exercise on gene expression.

Sample Metadata Fields

Specimen part, Disease, Treatment

View Samples
accession-icon GSE64375
Immediate Transcriptional Changes in Response to High Dose Radiation Exposure
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

One of the most likely risks astronauts on long duration space missions face is exposure to ionizing radiation associated with highly energetic and charged heavy (HZE) particles. Since access to medical expertise on such a mission is limited at best, early diagnosis and mitigation of such exposure is critical. In order to accurately determine the dosage within 1 hour post-exposure, dose-dependent biomarkers are needed. Therefore, we performed a dose-course transcriptional analysis for radiation exposure at 0, 0.3, 1.5, and 3.0 Gy with corresponding time point at 1 hour (hr) post-exposure using Affymetrix GeneChip Human Gene 1.0 ST v1 Array chips. The analysis of our data suggests a set of sensitive genetic biomarkers specific to each radiation level as well as generic radiation response biomarkers. Upregulated biomarkers can then be used within lab-on-a-chip (LOC) systems to detect exposure to ionizing radiation.

Publication Title

Transcriptional profile of immediate response to ionizing radiation exposure.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon SRP162331
CDK4/6 inhibitors target SMARCA4-determined cyclin D1 deficiency in hypercalcemic small cell carcinoma of the ovary (II)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Inactivating mutations in SMARCA4 (BRG1), a key SWI/SNF chromatin remodelling gene, underlie small cell carcinoma of the ovary, hypercalcemic type (SCCOHT). To reveal its druggable vulnerabilities, we perform kinase-focused RNAi screens and uncover that SMARCA4-deficient SCCOHT cells are highly sensitive to the inhibition of cyclin-dependent kinase 4/6 (CDK4/6). SMARCA4 loss causes profound downregulation of cyclin D1, which limits CDK4/6 kinase activity in SCCOHT cells and leads to in vitro and in vivo susceptibility to CDK4/6 inhibitors. SCCOHT patient tumors are deficient in cyclin D1 yet retain the retinoblastoma-proficient/p16INK4a-deficient profile associated with positive responses to CDK4/6 inhibitors. Thus, our findings indicate that CDK4/6 inhibitors, approved for a breast cancer subtype addicted to CDK4/6 activation, could be repurposed to treat SCCOHT. Moreover, our study suggests a novel paradigm whereby critically low oncogene levels, caused by loss of a driver tumor suppressor, may also be exploited therapeutically. Overall design: The effect of CDK6 knockdown and palbociclib treatment on SCCOHT cells.

Publication Title

CDK4/6 inhibitors target SMARCA4-determined cyclin D1 deficiency in hypercalcemic small cell carcinoma of the ovary.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE64333
MicroRNA and Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE71781
Gene expression profiling of the prostate biopsy samples (cancer and adjacent normal tissues) from African American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes beween AA cancer and patient matched normal tissues.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64331
Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in AA and EA patients.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE71783
Gene expression profiling of the prostate biopsy samples from cancer and adjacent normal tissues of European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in EA PCa vs. EA normal.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon E-MEXP-628
Transcription profiling of GATA-6 overexpression in mouse P19CL6 cells to identify targets of GATA-6 transcriptional regulation at early stages of cardiogenesis
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

effect of overexpression of GATA-6 in P19 CL6 induced cells

Publication Title

Wnt2 is a direct downstream target of GATA6 during early cardiogenesis.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE12205
Effect of PTP inhibition on changes in gene expression after Cr(VI) exposure
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although the consequences of genotoxic injury include cell cycle arrest and apoptosis, cell survival responses after genotoxic injury can produce intrinsic death-resistance and contribute to the development of a transformed phenotype. Protein tyrosine phosphatases (PTPs) are integral components of key survival pathways, and are responsible for their inactivation, while PTP inhibition is are often associated with enhanced cell proliferation. Our aim was to elucidate signaling events that modulate cell survival after genotoxin exposure. Diploid human lung fibroblasts (HLF) were treated with Cr(VI) (as Na2CrO4), a well known human respiratory carcinogen that induces a wide spectrum of DNA damage, in the presence and absence of a broad-range PTP inhibitor, sodium orthovanadate. Notably, PTP inhibition abrogated Cr(VI)-induced clonogenic lethality. The enhanced survival of Cr(VI)-exposed cells after PTP inhibition was predominantly due to a bypass of cell cycle arrest and was not due to decreased Cr uptake as evidenced by unchanged Cr-DNA adduct burden. Additionally, the bypass of Cr-induced growth arrest by PTP inhibition, was accompanied by a decrease in Cr(VI)-induced expression of cell cycle inhibiting genes, and an increase in the Cr(VI)-induced expression of cell cycle promoting genes. Importantly, PTP inhibition resulted in an increase in forward mutations at the HPRT locus, supporting the hypothesis that PTP inhibition in the presence of DNA damage may lead to genomic instability, via bypass of cell cycle checkpoints.

Publication Title

Bypass of hexavalent chromium-induced growth arrest by a protein tyrosine phosphatase inhibitor: enhanced survival and mutagenesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP200560
RNAseq of haemogenic and aortic endothelium in zebrafish embryos 28-20 hours post fertilization
  • organism-icon Danio rerio
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The goal of this study is to perform RNAseq in different sub-types of the zebrafish embryonic dorsal aorta (DA) at 28-30 hpf using TgBAC(runx1P2:Citrine);Tg(kdrl:mCherry) double-transgenic zebrafish embryos. A min. of 3000 cells per population were collected via FACS. RNA was isolated with the RNeasy Plus Micro Kit (QIAGEN, Cat No. 74034). High quality RNA (RIN > 8.0) was sent for RNAseq to the Wellcome Trust Centre for Human Genetics (WTCHG). 2.2 ng of total RNA was used to generate SMARTer libraries for low-input RNA. Sequencing was performed on an Illumina HiSeq4000 machine with a 75 bp paired end protocol. Sequenced reads were checked for base qualities, trimmed where 20% of the bases were below quality score 20, and filtered to exclude adapters using Trimmomatic (Version 0.32). Sequences were aligned to the Zebrafish Genome Zv10 with STAR with default parameters. Aligned read features were counted using Subread tool: featureCounts method (version 1.4.5-p1). To determine number of mapped reads we used the trimmed data. The alignment has been performed using STAR with default parameters. The number of mapped reads (QC-passed reads count) has been obtain using Samtools mapping statistics (flagstat tool). Overall design: Analysis of 5 different cell types; DN (double negative), SP-kdrl (single positive), DP-R1lo (double positive runx1 low expression), DP-R1med (runx1 medium expressionand) and DP-R1hi (runx1 high expression) in non-injected (Wt) TgBAC(runx1P2:Citrine);Tg(kdrl:mCherry) double-transgenic zebrafish embryos. Analysis was also done of the DN and DP-R1hi populations in runx1-morpholino (MO) injected embryos.

Publication Title

Blood stem cell-forming haemogenic endothelium in zebrafish derives from arterial endothelium.

Sample Metadata Fields

Specimen part, Subject

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