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GSE103746
Homo sapiens
25 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 303 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
In this study gene expression profiles for 307 cases of advanced bladder cancers were compared to molecular phenotype at the tumor cell level. TUR-B tissue for RNA extraction was macrodissected from the close vicinity of the tissue sampled for immunohistochemistry to ensure high-quality sampling and to minimize the effects of intra-tumor heterogeneity. Despite excellent agreement between gene expression values and IHC-score at the single marker level, broad differences emerge when samples are clustered at the global mRNA versus tumor cell (IHC) levels. Classification at the different levels give different results in a systematic fashion, which implicates that analysis at both levels is required for optimal subtype-classification of bladder cancer.
Publication Title
Molecular classification of urothelial carcinoma: global mRNA classification versus tumour-cell phenotype classification.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 25 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Purpose
Publication Title
Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 128 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Pancreatic islets are central in type 2-diabetes development, which coincides with increased activity of innate immunity. Intriguingly, human pancreatic islets express many complement genes. The most highly expressed gene was the complement inhibitor CD59 that is GPI anchored to the cell membrane, which unexpectedly was found in high amounts intracellularly in beta cells. Silencing of CD59 strongly suppressed insulin secretion. Importantly, this suppression was unrelated to established CD59 functions, but rather depletion of intracellular CD59. Imaging experiments identified a distal site of inhibition in the exocytotic pathway, but prior to emptying of the insulin granules. Proximity Ligation Assays pin-pointed the mechanism to impaired turnover of exocytosis-regulating SNARE-proteins and CD59 was detected in complex with VAMP2 and syntaxin. CD59 was downregulated by 24-h glucose incubations in human islets, rat cell lines and in islets from three rodent diabetes models.
Publication Title
The complement inhibitor CD59 regulates insulin secretion by modulating exocytotic events.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 55 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SCANB SubSeries listed below.
Publication Title
The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 85 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Human brown fat tumors (hibernomas) display concomitant loss of the tumor suppressor genes MEN1 and AIP. In the present study, we hypothesized that the brown fat phenotype is attributed to these mutations. Accordingly, we demonstrate that silencing of AIP in human brown preadipocytic and white fat cell lines results in the induction of the brown fat marker UCP1. In human adipocytic tumors, loss of MEN1 was found both in white (one out of 51 lipomas) and brown fat tumors. In contrast, concurrent loss of AIP was always accompanied by a brown fat morphology. We conclude that this white-to-brown phenotype switch in brown fat tumors is mediated by the loss of AIP.
Publication Title
Loss of the tumour suppressor gene AIP mediates the browning of human brown fat tumours.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Epigenetic chromatin states uniquely define the developmental plasticity of murine hematopoietic stem cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 76 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
A gene co-expression network analysis has been conducted to identify T2D-associated gene modules. Donors 1-48 were used for the initial analysis and donors 49-80 for the replication and were normalized separately in this study
Publication Title
Secreted frizzled-related protein 4 reduces insulin secretion and is overexpressed in type 2 diabetes.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 55 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Breast cancer exhibits significant molecular, pathological, and clinical heterogeneity. Current clinicopathological evaluation is imperfect for predicting outcome, which results in overtreatment for many patients, and for others, leads to death from recurrent disease. Therefore, additional criteria are needed to better personalize care and maximize treatment effectiveness and survival. To address these challenges, the Sweden Cancerome Analysis Network - Breast (SCAN-B) consortium was initiated in 2010 as a multicenter prospective study with longsighted aims to 1) analyze breast cancers with next-generation genomic technologies for translational research in a population-based manner and integrated with healthcare; 2) decipher fundamental tumor biology from these analyses; 3) utilize genomic data to develop and validate new clinically-actionable biomarker assays; and 4) build the infrastructure for real-time clinical implementation of molecular diagnostic, prognostic, and predictive tests. In the first phase, we focus on molecular profiling by next-generation RNA-sequencing on the Illumina platform. In the three years from August 30, 2010 through August 31, 2013, we have consented and enrolled 3,979 patients with primary breast cancer at the seven hospital sites in South Sweden, representing approximately 85% of eligible patients in the catchment area. Pre-operative blood samples have been collected for 3,942 (99%) patients and primary tumor specimens collected for 2,929 (74%) patients. Herein we describe the study infrastructure and present initial proof of concept results from prospective RNA-sequencing including tumor molecular subtyping and detection of driver gene mutations. We demonstrate that large-scale population-based collection and RNA-sequencing analysis of breast cancer is feasible. The SCAN-B Initiative should significantly reduce the time to discovery, validation, and clinical implementation of novel molecular diagnostic and predictive tests. We welcome the participation of additional comprehensive cancer treatment centers.
Publication Title
The Sweden Cancerome Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 52 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
ARPE-19 cells were either laser treated or not, and analyzed 2, 6 and 24 hours after laser treatment. In addition, the cells were treated with high or low glucose (T2D complications analysis). The difference in glucose levels did not make much difference in regards to gene expression.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Cell line, Time
View Samples