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accession-icon SRP125430
Proteotranscriptomic profiling of potential E6AP targets in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Prostate cancer is a common cause of cancer-related death in men. E6AP, an E3 ubiquitin ligase and a transcription cofactor, is elevated in a subset of prostate cancer patients. Genetic manipulations of E6AP in prostate cancer cells expose a role of E6AP in promoting growth and survival of prostate cancer cells in vitro and in vivo. However, the effect of E6AP on prostate cancer cells is broad and it cannot be explained fully by previously identified tumour suppressor targets of E6AP, promyelocytic leukemia protein and p27. To explore additional players that are regulated downstream of E6AP, we combined a transcriptomic and proteomic approaches. We identified and quantified 16,130 transcripts and 7,209 proteins in castration resistant prostate cancer cell line, DU145. A total of 2,763 transcripts and 308 proteins were significantly altered upon knockdown of E6AP. Pathway analyses supported the known phenotypic effects of E6AP knockdown in prostate cancer cells and in parallel exposed novel potential links of E6AP with cancer metabolism, DNA damage repair and immune response. Changes in expression of the top candidates were confirmed using real-time polymerase chain reaction. Of these, clusterin, a stress-induced chaperone protein, commonly deregulated in prostate cancer, was pursued further. Knockdown of E6AP resulted in increased clusterin transcript and protein levels in vitro and in vivo. Concomitant knockdown of E6AP and clusterin supported the contribution of clusterin to the phenotype induced by E6AP. Overall, results from this study provide insight into the potential biological pathways controlled by E6AP in prostate cancer cells and identifies clusterin as a novel target of E6AP. Overall design: Examination of candidate targets regulated by E6AP at transcript level

Publication Title

Proteotranscriptomic Measurements of E6-Associated Protein (E6AP) Targets in DU145 Prostate Cancer Cells.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP046327
Identification of differentially expressed genes during development of the zebrafish pineal complex using RNA sequencing
  • organism-icon Danio rerio
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We describe a method for isolating RNA suitable for high-throughput RNA sequencing (RNA-seq) from small numbers of fluorescently labeled cells isolated from live zebrafish (Danio rerio) embryos without using costly, commercially available columns. This method ensures high cell viability after dissociation and suspension of cells and gives a very high yield of intact RNA. We demonstrate the utility of our new protocol by isolating RNA from fluorescence activated cell sorted (FAC sorted) pineal complex neurons in wild-type and tbx2b knockdown embryos at 24 hours post fertilization. Tbx2b is a transcription factor required for pineal complex formation. We describe a bioinformatics pipeline used to analyze differential expression following high-throughput sequencing and demonstrate the validity of our results using in situ hybridization of differentially expressed transcripts. This protocol brings modern transcriptome analysis to the study of small cell populations in zebrafish. Overall design: Differential expression analysis of mRNA levels in a single time-point (24 hpf) between wild-type and Tbx2b deficient FAC sorted pineal complex cells

Publication Title

Identification of differentially expressed genes during development of the zebrafish pineal complex using RNA sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36809
A genomic storm in critically injured humans
  • organism-icon Homo sapiens
  • sample-icon 856 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human survival from injury requires an appropriate inflammatory and immune response. We describe the circulating leukocyte transcriptome after severe trauma and show that the severe stress produce a global

Publication Title

A genomic storm in critically injured humans.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE37069
Gene response to major burn injuries
  • organism-icon Homo sapiens
  • sample-icon 587 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood was sampled from severe burns patients over time as well as healthy subjects. Genome-wide expression analyses were conducted using the Affymetrix U133 plus 2.0 GeneChip.

Publication Title

Genomic responses in mouse models poorly mimic human inflammatory diseases.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE79377
Microarray on osteoblasts made from bone marrow stromal cells from Bmp2 flox/flox and Bmp2; Prx1-Cre mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Enhanced BMP or canonical Wnt (cWnt) signaling are therapeutic strategies employed to enhance bone formation and fracture repair, but the mechanisms each pathway utilizes to specify cell fate of bone-forming osteoblasts remain poorly understood. Among all BMPs expressed in bone, we find that singular deficiency of Bmp2 blocks the ability of cWnt signaling to specify osteoblasts from limb bud or bone marrow progenitors. When exposed to cWnts, Bmp2-deficient cells fail to progress through the Runx2/Osx1 checkpoint and thus do not upregulate multiple genes controlling mineral metabolism in osteoblasts. Cells lacking Bmp2 after induction of Osx1 differentiate normally in response to cWnts, supporting pre-Osx1+ osteoprogenitors as a critical source and target of BMP2. Our analysis furthermore reveals Grainyhead-like 3 (Grhl3) is to date an unidentified transcription factor in the osteoblast gene regulatory network that is induced during bone development and bone repair, and acts upstream of Osx in a BMP2-dependent manner. The Runx2/Osx1 transition therefore receives critical regulatory inputs from BMP2 that are not compensated for by cWnt signaling, and this is mediated at least in part by induction and activation of Grhl3.

Publication Title

Specification of osteoblast cell fate by canonical Wnt signaling requires Bmp2.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE19743
A large-scale clinical study of gene expression response to severe burn injury
  • organism-icon Homo sapiens
  • sample-icon 177 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the age-dependent response to burn injury, blood samples from pediatric and adult patients were collected at different times after severe burn injury.

Publication Title

Analysis of factorial time-course microarrays with application to a clinical study of burn injury.

Sample Metadata Fields

Sex, Disease

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accession-icon GSE29962
Nutrient-dependent growth of NIH3T3 and NIH3T3 K-ras cell lines.
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression profiling of normal NIH3T3 and transformed NIH3T3 K-ras cell lines grown for 72 hours in optimal glucose availability (25 mM glucose) or low glucose availability (1 mM). Low glucose induces apoptosis in transformed cells as compared to normal ones.

Publication Title

Oncogenic K-Ras decouples glucose and glutamine metabolism to support cancer cell growth.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE56792
Gene expression analysis of B16-F1 melanoma tumors established in WT and Stat2KO mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

STAT2 is an essential transcription factor in type I interferon (IFN) signaling. STAT2 mediates the antigrowth and apoptotic effects of IFN as demonstrated in cell lines thus leading to the hypothesis that STAT2 has tumor suppressor function.

Publication Title

Host STAT2/type I interferon axis controls tumor growth.

Sample Metadata Fields

Specimen part

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accession-icon GSE2328
Application of genome-wide expression analysis to human health & disease
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

expression files supporting: Application of genome-wide expression analysis to human health and disease. PNAS

Publication Title

Application of genome-wide expression analysis to human health and disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE78210
3D cultivation of NSCLC cell lines alters gene expression of key cancer-associated signalling pathways
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: The main focus of the work was the evaluation of gene expression differences between our established NSCLC 3D cell culture model and the 2D cell culture in regard to the use of our model for drug screening applications.

Publication Title

3D-cultivation of NSCLC cell lines induce gene expression alterations of key cancer-associated pathways and mimic <i>in-vivo</i> conditions.

Sample Metadata Fields

Cell line

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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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