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accession-icon GSE28979
Gene expression profiles of serous ovarian cancer in human and mouse
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

High-grade serous ovarian cancer arises from fallopian tube in a mouse model.

Alternate Accession IDs

E-GEOD-28979

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE28721
Gene expression analysis of human serious ovarian tumors and fimbria control
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

The cell of origin of serious ovarian cancer is unknown. To create a mouse model for this lethal cancer and identify early cancer biomarkers, we conditionally deleted both Dicer (essential for microRNA biosynthesis) and Pten (a negative regulator of the PI3K pathway) in the female reproductive tract. Beginning at ~3-5 months, these Dicer/Pten mutant mice develop high-grade serious carcinomas that initiate in the stroma of the fallopian tube through a mesenchymal-to-epithelial transition (MET), subsequently envelop the ovary, and then metastasize throughout the peritoneum, resulting in ascites and 100% lethality by 13 months. The fallopian tube cancers demonstrate upregulation of genes encoding known and novel secreted proteins that are potential biomarkers. This study uncovers a new paradigm for the initiation of high-grade serous ovarian cancer.

Publication Title

High-grade serous ovarian cancer arises from fallopian tube in a mouse model.

Alternate Accession IDs

E-GEOD-28721

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE28720
Gene expression analysis of ovarian tumors from mice with knockout of DICER and PTEN
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

The cell of origin of serious ovarian cancer is unknown. To create a mouse model for this lethal cancer and identify early cancer biomarkers, we conditionally deleted both Dicer (essential for microRNA biosynthesis) and Pten (a negative regulator of the PI3K pathway) in the female reproductive tract. Beginning at ~3-5 months, these Dicer/Pten mutant mice develop high-grade serious carcinomas that initiate in the stroma of the fallopian tube through a mesenchymal-to-epithelial transition (MET), subsequently envelop the ovary, and then metastasize throughout the peritoneum, resulting in ascites and 100% lethality by 13 months. The fallopian tube cancers demonstrate upregulation of genes encoding known and novel secreted proteins that are potential biomarkers. This study uncovers a new paradigm for the initiation of high-grade serous ovarian cancer.

Publication Title

High-grade serous ovarian cancer arises from fallopian tube in a mouse model.

Alternate Accession IDs

E-GEOD-28720

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE99561
Liver samples of DO mice
  • organism-icon Mus musculus, Unidentified
  • sample-icon 267 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systems genetics identifies a co-regulated module of liver microRNAs associated with plasma LDL cholesterol in murine diet-induced dyslipidemia.

Alternate Accession IDs

E-GEOD-99561

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE99558
Microarray measuring gene expression in livers of DO mice
  • organism-icon Mus musculus, Unidentified
  • sample-icon 267 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st), Illumina HiSeq 2000

Description

Genetic variation, in addition to environmental influences like diet, can govern the expression levels of microRNAs (miRNAs). MiRNAs are commonly found to operate cooperatively in groups to regulate gene expression. To investigate this, we combined small RNA sequencing, clinical phenotypes, and microarray data measuring gene expression from an outbred mouse model, the Diversity Outbred population. In the DO population, each individual has a distinct genome that is a mosaic of 8 inbred founder strains. We used these data to identify co-regulated modules of miRNAs and genes that are influenced by genetics and diet, and identify relationships between the modules and phenotypes in over 200 DO mice.

Publication Title

Systems genetics identifies a co-regulated module of liver microRNAs associated with plasma LDL cholesterol in murine diet-induced dyslipidemia.

Alternate Accession IDs

E-GEOD-99558

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38831
Deciphering genomic alterations in colorectal cancer through transcriptional subtype-based network analysis
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

High-throughput genomic studies have identified thousands of genetic alterations in colorectal cancer (CRC). Distinguishing driver from passenger mutations is critical for developing rational therapeutic strategies. Because only a few transcriptional subtypes exist in previously studied tumor types, we hypothesize that highly heterogeneous genomic alterations may converge to a limited number of distinct mechanisms that drive unique gene expression patterns in different transcriptional subtypes. In this study, we defined transcriptional subtypes for CRC and identified driver networks/pathways for each subtype, respectively. Applying consensus clustering to a patient cohort with 1173 samples identified three transcriptional subtypes, which were validated in an independent cohort with 485 samples. The three subtypes were characterized by different transcriptional programs related to normal adult colon, early colon embryonic development, and epithelial mesenchymal transition, respectively. They also showed statistically different clinical outcomes. For each subtype, we mapped somatic mutation and copy number variation data onto an integrated signaling network and identified subtype-specific driver networks using a random walk-based strategy. We found that genomic alterations in the Wnt signaling pathway were common among all three subtypes; however, unique combinations of pathway alterations including Wnt, VEGF, Notch and TGF-beta drove distinct molecular and clinical phenotypes in different CRC subtypes. Our results provide a coherent and integrated picture of human CRC that links genomic alterations to molecular and clinical consequences, and which provides insights for the development of personalized therapeutic strategies for different CRC subtypes.

Publication Title

Deciphering genomic alterations in colorectal cancer through transcriptional subtype-based network analysis.

Alternate Accession IDs

E-GEOD-38831

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14256
Human fibroblast stimulation with PDGF-BB or b-FGF
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We analyzed gene expression in human fibroblasts stimulated by platelet-derived growth factor-BB (PDGF-BB) or basic fibroblast growth factor (bFGF) for 1h and 24h. The results of two independent experiments were merged. SAM analysis identified 116 relevant probe sets. Hierarchical clustering of these probe sets showed divergent early gene regulation by PDGF and FGF but overlapping late response. We first analyzed genes commonly regulated by PDGF-BB and b-FGF more than 2 fold after 24h of stimulation and we found that these two growth factors repressed FOXO.

Publication Title

The transcription of FOXO genes is stimulated by FOXO3 and repressed by growth factors.

Alternate Accession IDs

E-GEOD-14256

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP063054
Circular RNAs are down-regulated in KRAS mutant colon cancer cells and can be transferred to exosomes
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Recent studies have shown that circular RNAs (circRNAs) are abundant, widely expressed in mammals, and can display cell-type specific expression. However, how production of circRNAs is regulated and their precise biological function remains largely unknown. To study how circRNAs might be regulated during colorectal cancer progression, we used three isogenic colon cancer cell lines that differ only in KRAS mutation status. Cellular RNAs from the parental DLD-1 cells that contain both wild-type and G13D mutant KRAS alleles and isogenically-matched derivative cell lines, DKO-1 (mutant KRAS allele only) and DKs-8 (wild-type KRAS allele only) were analyzed using RNA-Seq. We developed a bioinformatics pipeline to identify and evaluate circRNA candidates from RNA-Seq data. Hundreds of high-quality circRNA candidates were identified in each cell line. Remarkably, circRNAs were significantly down-regulated at a global level in DLD-1 and DKO-1 cells compared to DKs-8 cells, indicating a widespread effect of mutant KRAS on circRNA abundance. This finding was confirmed in two independent colon cancer cell lines HCT116 (KRAS mutant) and HKe3 (KRAS WT). In all three cell lines, circRNAs were also found in secreted extracellular-vesicles, and circRNAs were more abundant in exosomes than cells. Our results suggest that circRNAs may serve as promising cancer biomarkers. Overall design: RNAseq deep sequencing for both cell and exosome mRNAs

Publication Title

Circular RNAs are down-regulated in KRAS mutant colon cancer cells and can be transferred to exosomes.

Alternate Accession IDs

GSE72577

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20198
ATF3 is a positive regulator of human IFN gene expression
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The aim of this study was to identify genes regulated by IL-12, IL-18 and IFN-alpha during early differentiation of human Th1 cells

Publication Title

Activating transcription factor 3 is a positive regulator of human IFNG gene expression.

Alternate Accession IDs

E-GEOD-20198

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP102553
Peripheral huntingtin silencing does not ameliorate central signs of disease in the B6.HttQ111/+ mouse model of Huntington’s disease
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Huntington’s disease (HD) is an autosomal dominant neurodegenerative disease whose predominant neuropathological signature is the selective loss of medium spiny neurons in the striatum.  Despite this selective neuropathology, the mutant protein (huntingtin) is found in virtually every cell so far studied, and, consequently, phenotypes are observed in a wide range of organ systems both inside and outside the central nervous system.  We, and others, have suggested that peripheral dysfunction could contribute to the rate of progression of striatal phenotypes of HD.  To test this hypothesis, we lowered levels of huntingtin by treating mice with antisense oligonucleotides (ASOs) targeting the murine Huntingtin gene.  To study the relationship between peripheral huntingtin levels and striatal HD phenotypes, we utilized a knock-in model of the human HD mutation (the B6.HttQ111/+ mouse).  We treated mice with ASOs from 2-10 months of age, a time period over which significant HD-relevant signs progressively develop in the brains of HttQ111/+ mice.  Peripheral treatment with ASOs led to persistent reduction of huntingtin protein in peripheral organs, including liver (64% knockdown), brown adipose (66% knockdown), and white adipose tissues (71% knockdown).  This reduction was not associated with alterations in the severity of HD-relevant signs in the striatum of HttQ111/+ mice at the end of the study, including transcriptional dysregulation, the accumulation of neuronal intranuclear inclusions, and behavioral changes such as subtle hypoactivity and reduced exploratory drive.  These results suggest that the amount of peripheral reduction achieved in the current study does not significantly impact the progression of HD-relevant signs in the central nervous system. Overall design: HttQ111/+ and Htt+/+ mice were given weekly intraperitoneal injections of Htt ASO, control ASO, or saline from 2 to 10 months of age. Striatal mRNA was sequenced from and N of 5-6 per arm (N=35 total).

Publication Title

Peripheral huntingtin silencing does not ameliorate central signs of disease in the B6.HttQ111/+ mouse model of Huntington's disease.

Alternate Accession IDs

GSE97101

Sample Metadata Fields

Sex, Cell line, Treatment, Subject

View Samples
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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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