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accession-icon GSE59928
Expression data from 24 hours of Sox17 overexpression in pancreatic islets of a 16-week old mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Secretion of insulin by pancreatic cells in response to glucose is central for glucose homeostasis, and dysregulation of this process is a hallmark of the early stages of diabetes. We utilized a tetracycline-inducible approach to investigate the immediate impact of a pulse of Sox17 expression on the insulin secretory pathway. Sox17 gain-of-function animals (Sox17-GOF) were generated using an Ins2-rtTA mouse line and a line in which Sox17 expression is regulated by the tetracycline transactivator (tetO-Sox17). Administering doxycycline to 16-week old mice resulted in Sox17 overexpression in mature cells in the islets.

Publication Title

Sox17 regulates insulin secretion in the normal and pathologic mouse β cell.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP162344
Transcriptome of Prmt5-deficient and control mouse activated B cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Quiescent splenic B cells purified from Cg1-cre Prmt5F/F cells and Cg1-cre control mice. Resting B cells were plated on feeder cells expressing CD40L and BAFF and supplemented with IL-4 for activation. Four days later, the resulting activated germinal center-like B cells were purified and RNA extracted and processed for HiSeq. Four independent samples of each genotype were processed and analyzed. Overall design: 2 Experiments, 2 samples of each genotype per experiment (Exp 1: Samples 1,2,7,8 ; Exp 2: Samples 3,4,5,6)_ PRMT5 FF Cg1cre: Samples 1,2,3,4_ Cg1cre controls: Samples 5,6,7,8

Publication Title

PRMT5 is essential for B cell development and germinal center dynamics.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP021911
Small RNA sequencing of human preovulatory cumulus and mural granulosa cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The granulosa cells in the mammalian ovarian follicle respond to gonadotropin signalling and are involved in the processes of folliculogenesis and oocyte maturation. Studies on gene expression and regulation in human granulosa cells are of interest due to their potential for estimating the oocyte viability and IVF success. However, the post-transcriptional gene expression studies on miRNA level in the human ovary have been scarce. The current study determined the miRNA profile by deep sequencing of the two intrafollicular somatic cell types: mural and cumulus granulosa cells isolated from women undergoing controlled ovarian stimulation and in vitro fertilization. Overall design: Paired cumulus and mural granulosa samples were analysed from 3 women participating in IVF procedure. Libraries of all 6 samples were sequenced twice, generating 2 technical replicates for each sample. Differential gene expression study was performed on the pooled results of technical replicates.

Publication Title

Research resource: small RNA-seq of human granulosa cells reveals miRNAs in FSHR and aromatase genes.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP021912
High-throughput RNA sequencing of human preovulatory cumulus and mural granulosa cells (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The granulosa cells in the mammalian ovarian follicle respond to gonadotropin signalling and are involved in the processes of folliculogenesis and oocyte maturation. Studies on gene expression and regulation in human granulosa cells are of interest due to their potential for estimating the oocyte viability and IVF success. The current study determined the mRNA profile by deep sequencing of the two intrafollicular somatic cell types: mural and cumulus granulosa cells isolated from women undergoing controlled ovarian stimulation and in vitro fertilization. Overall design: Paired cumulus and mural granulosa samples were analysed from 3 women participating in IVF procedure. Differential gene expression study was performed. The identified gene expression profile was also used for predicting targets for miRNAs that were also identified from the same samples (GSE46489).

Publication Title

Research resource: small RNA-seq of human granulosa cells reveals miRNAs in FSHR and aromatase genes.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP065865
Gene Networks and Blood Biomarkers of Methamphetamine-Associated Psychosis: A Preliminary Integrative RNA-Sequencing Report
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The clinical presentation, course and treatment of methamphetamine-associated psychosis (MAP) are similar to that observed in schizophrenia (SCZ) and subsequently MAP has been hypothesized as a pharmacological and environmental model of SCZ. However, several challenges currently exist in accurately diagnosing MAP at the molecular and neurocognitive level before the MAP model can contribute to the discovery of SCZ biomarkers. We directly assessed subcortical brain structural volumes and clinical parameters of MAP within the framework of an integrative genome-wide RNA-Seq blood transcriptome analysis of subjects diagnosed with MAP (N=10), METH-dependency without psychosis (MA) (N=10) and healthy controls (N=10). We used RNA-Sequencing gene expression to characterize molecular signatures associated to METH and MAP status compared to healthy control subjects. Overall design: Peripheral blood luekocytes gene expression was subject to transcriptional analysis for 10 MAP subjects, 10 subjects with METH-dependency without psychotic symptomics and 10 healthy controls.

Publication Title

Candidate gene networks and blood biomarkers of methamphetamine-associated psychosis: an integrative RNA-sequencing report.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE78753
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response
  • organism-icon Homo sapiens
  • sample-icon 16 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

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE38277
Lsd1 coordinates trophoblast development by retaining stem cells in their niche and directing cell fate
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Stem cells reside in specific niches providing stemness-maintaining environments. Thus, the regulated migration from these niches is associated with differentiation onset. However, mechanisms retaining stem cells in their niche remain poorly understood. Here, we show that the epigenetic regulator lysine-specific demethylase 1 (Lsd1) organises the trophoblast niche of the early mouse embryo by coordinating migration and invasion of trophoblast stem cells (TSCs). Lsd1 deficiency leads to the depletion of the stem cell pool resulting from precocious migration of TSCs.

Publication Title

Lysine-specific demethylase 1 regulates differentiation onset and migration of trophoblast stem cells.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE74608
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response [BT20 & HCC1806]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies.

Publication Title

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP040772
miRNome of endometriotic lesion
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzer

Description

miRNA high-throughput sequencing was used to investigate endometriosis lesion-specific miRNA expression profiles by comparing a set of paired samples of peritoneal endometriotic lesions and matched healthy surrounding tissue together with eutopic endometrium of the same patients. We found that miRNAs of surrounding peritoneal tissue mask most of the miRNA expression differences that could originate from endometriotic tissue and thus only miRNAs with significantly different levels in the endometriotic lesions compared to peritoneal tissue were detected. According to the results of this study, two miRNAs – miR-34c and miR-449a showed remarkably higher expression in lesions compared to healthy tissue. Overall design: Eleven tissue samples (two endometria, five peritoneal lesions and four matched adjacent normal-appearing tissues) were analysed from two patients with a histologically confirmed diagnosis of moderate-severe endometriosis (III-IV stage)

Publication Title

High-throughput sequencing approach uncovers the miRNome of peritoneal endometriotic lesions and adjacent healthy tissues.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE68694
A Preclinical Model for ER-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response [MCF7]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A high percentage of potential oncology drugs fail in clinical trials, partly because preclinical models used to test them are inadequate. Breast cancer is the leading cause of cancer-related death among women worldwide but we lack appropriate in vivo models for the ER+ subtypes, which represent more than 75% of all cases. We address these issues by xenografting tumor cells to their site of origin, the milk ducts. All ER+ cell lines and patient-derived xenografts grow mimicking their clinical counterparts. Disease progresses with invasion and metastasis, which become amenable to study. The action of hormones, important in breast carcinogenesis, can now be studied in a relevant context. Importantly, these open opportunities for development and evaluation of therapies.

Publication Title

A Preclinical Model for ERα-Positive Breast Cancer Points to the Epithelial Microenvironment as Determinant of Luminal Phenotype and Hormone Response.

Sample Metadata Fields

Specimen part

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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