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Homo sapiens
12 Downloadable Samples
Illumina 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- Homo sapiens
- 6 Downloadable Samples
- Illumina 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- Homo sapiens
- 30 Downloadable Samples
- IlluminaHiSeq2000
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- Homo sapiens
- 16 Downloadable Samples
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- Mus musculus
- 18 Downloadable Samples
- 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- Homo sapiens
- 10 Downloadable Samples
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
SRP040772- Homo sapiens
- 11 Downloadable Samples
- IlluminaGenomeAnalyzer
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- Homo sapiens
- 6 Downloadable Samples
- 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- Homo sapiens
- 22 Downloadable Samples
- IlluminaHiSeq2500
Description
Estrogen receptor-a (ERa) is an important driver of breast cancer and is the target for hormonal therapies, anti-estrogens and drugs that limit estrogen biosynthesis (aromatase inhibitors). Mutations in the ESR1 gene identified in metastatic breast cancer provide a potential mechanism for acquired resistance to hormone therapies. We have used CRISPR-Cas9 mediated genome editing in the MCF-7 breast cancer cell line, generating MCF-7-Y537S. MCF-7-Y537S cells encode a wild-type (tyrosine 537) and a mutant (serine 537) allele. Growth of the line is estrogen-independent and expression of ERa target genes is elevated in the absence of estrogen. ER ChIP-seq was carried out to map global ERa binding sites in the presence and absence of estrogen. RNA-seq following estrogen treatment was used for gene expression analysis. We show that expression of ER target genes and ER recruitment to ER binding regions is similar in MCF-7 and MCF-7-Y537S cells, except that ER recruitment to DNA and expression of ER target genes is frequently elevated in the absence of estrogen. Overall design: Hormone depleted MCF7 Luc or Y537S cells were treated with 10nM E2 or ethanol, as vehicle control, for 8 hours, with 3 replicates (2 replicates for Y537S + E2). RNA-seq was carried out using Illumina Hiseq 2500.
Publication Title
Genomic modelling of the ESR1 Y537S mutation for evaluating function and new therapeutic approaches for metastatic breast cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 350 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Systematic identification of trans eQTLs as putative drivers of known disease associations.
Sample Metadata Fields
Sex, Specimen part
View Samples