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accession-icon GSE55945
Gene Expression Profiling of Prostate Benign and Malignant Tissue
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We profiled genome-wide gene expression of human prostate benign and malignant tissue to identify potential biomarkers and immunotherapy targets.

Publication Title

Identification of the transcription factor single-minded homologue 2 as a potential biomarker and immunotherapy target in prostate cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE17728
Blood gene expression profile from mouse C57Bl/10 exposed to chronic hypoxia
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to study the gene expression profile in C57Bl/10 mouse blood, we exposed three different groups of animals. First was exposed to PO2 21% or normoxia. The second was exposed to chronic hypoxia (from PO2 21% to PO2 8%) and the third was also exposed to the same chronic hypoxia (CH) protocol but followed by two weeks under normoxia, and called as recovery group. The blood was extracted from inferior vena cava, the RNA was extracted, amplified and hybridized to Affimetrix MOE 430 V2.o chip. The results were analyzed using Partek Genome suite software. Using two fold cuttoff and 0% FDR parameters, we observed genes 512 diferentially expressed, of which one gene was up-regulated in both hypoxic and recovery condition, 202 were up-regulated during CH and then down-regulated after the recovery, 18 genes were down-regulated afteh CH and the up-regulated after recovery, ans finally 9 genes were down-regulated in both CH and recovery conditions.

Publication Title

Expression profiling reveals novel hypoxic biomarkers in peripheral blood of adult mice exposed to chronic hypoxia.

Sample Metadata Fields

Age

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accession-icon GSE43270
Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE43191
Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients (gene expression)
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation27 BeadChip (HumanMethylation27_270596_v.1.2), Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

The aim of this study is to identify, for the first time, the genome-wide DNA methylation profiles of human articular chondrocytes from OA and healtly cartilage samples.

Publication Title

Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon SRP185806
RNA sequencing of wild-type Drosophila melanogaster brains in sated, fasted, or refed nutritional states
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the application of RNA-sequencing technology for high-throughput profiling of RNA abundance in Drosophila melanogaster brains. By obtaining RNA-sequencing reads, we generated quantitative transcriptome-wide measures in three nutritional states: sated, fasted, refed. Overall design: RNA sequencing of wild-type Drosophila melanogaster brains in sated, fasted, or refed nutritional states

Publication Title

Rapid metabolic shifts occur during the transition between hunger and satiety in Drosophila melanogaster.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE100336
Gene expression profiling of Dox-activable K-ras mutation in human primary bronchial epithelial cell line
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We constructed a primary lung cell model to permit regulated expression of KRASG12D. To do this, we leveraged a non-transformed, immortalized, human primary bronchial epithelial cell line (HBEC; hTert, CDK4, TP53 knockdown) that remains anchorage dependent and do not develop tumors when implanted into mice. We next modified these cells by stably integrating a regulatable KRASG12D allele, iKRASG12D, such that physiological expression of mutant KRAS is activated upon addition of doxycycline. The HBEC-iKRAS (WT) cell line and HBEC-iKRASG12D (MUT) cell line were propagated with or without Doxycycline (500ng/ml) respectively. RNA profiling of HBEC-iKRASG12D and HBEC-iKRASWT cells revealed widespread changes for HBECs harboring the activated KRAS allele in the presence of Dox. Within the KRASG12D-induced genes, the Molecular Signatures Database identified the oncogenic RAS signature as a top-enriched gene set. Upregulation of Ras signaling in Dox-treated HBEC-iKRASG12D cells was also supported by a significant overlap with a KRAS signature previously characterized by Singh et al.

Publication Title

In vivo screening identifies GATAD2B as a metastasis driver in KRAS-driven lung cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE51923
Idiopathic and LRRK2-associated Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 14 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

Aberrant epigenome in iPSC-derived dopaminergic neurons from Parkinson's disease patients.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE51922
Microarray expression analysis in idiopathic and LRRK2-associated Parkinson's disease (PD)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

We analysed the RNA profile of IPSC-derived dopaminergic neurons from idiophatic and genetic form (LRRK2) of Parkinsons disease (PD). Both, idiopathic and genetic form of the disease show similar expression alterations and were merged in one whole PD group. We found 437 differentially expressed genes (DEGs) in the PD group as a whole. Up-regulated DEGs (n=254) encompassed genes involved in neural functions and transcription factor functions whereas down-regulated DEGs (n=183) affected basic homeostasis. These data point towards the presence of gene - and also protein - expression changes in DAn from PD patients which co-occur simultaneously along with DNA methylation changes.

Publication Title

Aberrant epigenome in iPSC-derived dopaminergic neurons from Parkinson's disease patients.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

View Samples
accession-icon SRP002184
Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

Epidermal growth factor (EGF) is a key regulatory growth factor activating a myriad of processes affecting cell proliferation and survival that are relevant to normal development and disease. Here we have used a combined approach to study the EGF dependent transcriptome of HeLa cells. We obtained mRNA expression profiles using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, Febit, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer I (GA-I). By applying a procedure for cross-platform data meta-analysis based on rank product and global ancova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We used this robust gene list to build higher order networks of gene interaction by interconnecting associated networks, supporting and extending the important role of the EGF signaling pathway in cancer. In addition, we found a whole new set of genes previously unrelated to the currently accepted EGF associated cellular functions, among which are metallothionein genes. We propose the use of global genomic cross-validation to generate more reliable datasets derived from high content technologies (microarrays or deep sequencing). This approach should help to improve the confidence of downstream in silico functional inference analyses based on high content data. Keywords: treated vs. untreated comparison, time course Overall design: Time course experiment comparing HeLa gene expression in response to EGF analyzed on different microarray platforms (Agilent, IMPPC, Illumina, and Operon) and by digital gene expression using short read high throughput tag sequencing. Three independent experiments were performed where HeLa cells were serum deprived for 24 hours and were either left untreated or treated with EGF for 6, and 24 h and harvested for RNA extraction. Technical dye swap duplicates were performed for each of the three biological replicates in both time points. Comparative genomic hybridization of HeLa cell genomic DNA versus poooled genomic DNA from blood obtained from human females conducted on commercial oligonucleotide microarrays (Human Genome CGH Microarray Kit 244A, Agilent Technologies) in order to assess DNA dosage dependence of gene expression levels and response to EGF. Digital gene expression using short read high throughput tag sequencing data submitted to NCBI''s SRA

Publication Title

Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP081517
Expression profile of HNF1A knockdown and overexpression in 22RV1 and LNCaP cells respectively
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To determine genes regulated by HNF1A in 22Rv1, we performed siRNA mediated knockdown of HNF1A using pooled siHNF1A (L-008215-00-0005 5 nmol) and pooled siSCR purchased from Dharmacon. RNA was harvested 3 days after transfection and gene expression profiling was performed. Similarly to determine genes regulated by HNF1A in LNCaP, we performed retroviral transduction of LNCaP cells in duplicate for HNF1A and empty vector control expression. cDNA for HNF1A in RC211201 vector (origene) was subcloned into a murine stem cell virus (MSCV)-based retroviral vector with hygromycin selection marker (Addgene). After 3 days of transduction, cells were selected for four days in hygromycin and later on RNA was harvested for gene expression profiling. Overall design: RNA profiles were generated by deep sequencing using Illumina HiSeq.

Publication Title

Aberrant Activation of a Gastrointestinal Transcriptional Circuit in Prostate Cancer Mediates Castration Resistance.

Sample Metadata Fields

Cell line, 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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Developed by the Childhood Cancer Data Lab

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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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