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accession-icon SRP065613
Next Generation Sequencing Investigation of altered transcripts in presence of dominant-negative transcription factor
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose:The goals of this study was to determine alterations in expression levels of transcripts downstream of a dominant-negative transcription factor. Quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods was used to confirm the altered expression of targets. Methods: Striatal mRNA profiles of 11-month-old wild-type (WT) and Nestin-Cre X PPAR delta E411P mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed at the transcript isoform level with TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Western blots, and immunofluorescence was also used to confirm if altered mRNA levels translated to changes at the protein level. Results: Using data analysis workflow, we mapped sequence reads for each sample to the mouse genome (build mm9) and identified transcripts in the striatum of WT and PPARdelta E411P mice. Conclusions: Our study found multiple transcripts altered in the striatum of the Nestin-Cre x PPAR delta E411P mice as compared to WT striatum, as generated by RNA-SEQ in biologic replicates. Overall design: Striatal mRNA profiles of 11-month-old wild type (WT) and Nestin-Cre X PPAR delta E411P mice were generated by deep sequencing, in triplicate, using Illumina HiSeq2000.

Publication Title

PPAR-δ is repressed in Huntington's disease, is required for normal neuronal function and can be targeted therapeutically.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE66078
Emergence of a developmental stage-dependent human liver disease signature demonstrated by directed differentiation of alpha-1 antitrypsin deficient iPS cells
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Emergence of a stage-dependent human liver disease signature with directed differentiation of alpha-1 antitrypsin-deficient iPS cells.

Sample Metadata Fields

Cell line

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accession-icon GSE66076
Emergence of a developmental stage-dependent human liver disease signature demonstrated by directed differentiation of alpha-1 antitrypsin deficient iPS cells [HuGene-1_0-st]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We monitored 9 pluripotent stem cell lines across three time points of hepatic directed differentiation, representing 3 developmental stages: undifferentiated (T0), definitive endoderm (T5), and early hepatocyte (T24). ESCs (n=3) and patient-derived normal (n=3) or PiZZ (n=3) iPSCs were analyzed in the undifferentiated state (T0), after differentiation to definitive endoderm (T5), and upon reaching hepatic stage (T24) for a total of 27 samples. We sought to test the hypothesis that a single transgene-free iPSC clone from each donor could be used to detect disease-specific differences between the normal cohort and the PiZZ cohort, anticipating that this difference would emerge only at a developmental stage in which the mutant AAT gene is expressed. Cells were sorted before analysis at T0 and T5 after antibody staining for TRA1-80+/SSEA3+ (T0) or C-kit+/CXCR4+ (T5) cells.

Publication Title

Emergence of a stage-dependent human liver disease signature with directed differentiation of alpha-1 antitrypsin-deficient iPS cells.

Sample Metadata Fields

Cell line

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accession-icon SRP014142
Identification of new microRNAs in paired normal and tumor breast tissue suggests a dual role for the ERBB2/Her2 gene
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer, Illumina Genome Analyzer II

Description

To comprehensively characterize microRNA (miRNA) expression in breast cancer, we performed the first extensive next-generation sequencing expression analysis of this disease. We sequenced small RNA from tumors with paired samples of normal and tumor-adjacent breast tissue. Our results indicate that tumor identity is achieved mainly by variation in the expression levels of a common set of miRNAs rather than by tissue-specific expression. We also report 361 new, well-supported miRNA precursors. Nearly two-thirds of these new genes were detected in other human tissues and 49% of the miRNAs were found associated with Ago2 in MCF7 cells. Ten percent of the new miRNAs are located in regions with high-level genomic amplifications in breast cancer. A new miRNA is encoded within the ERBB2/Her2 gene and amplification of this gene leads to overexpression of the new miRNA, indicating that this potent oncogene and important clinical marker may have two different biological functions. In summary, our work substantially expands the number of known miRNAs and highlights the complexity of small RNA expression in breast cancer. Overall design: Sequencing of approximately 18-35 nt small RNAs from paired samples of normal, tumor and tumor-adjacent tissue for five breast cancer patients

Publication Title

Identification of new microRNAs in paired normal and tumor breast tissue suggests a dual role for the ERBB2/Her2 gene.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE60789
The Sweden Canceromics Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon GSE60785
The Sweden Canceromics Analysis Network - Breast (SCAN-B) Initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine [microarrays]
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP097793
Genome wide identification of gene sets involved in the regulation of hypothalamic pubertal development
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression analysis of hypothalami from female animals at different juvenile developmental reproductive stages. Results provide insight into the role of the hypothalamus in controlling the onset of puberty. Overall design: SD rats were housed (8/cage) in a controlled environment and euthanized at different ages (PND=7, PND=14, Early Juvenile: 21 days, Late Juvenile: 28 days, Late Proestus (the day of first ovulation): 30-33 days. Rats were anesthetized and brains were rapidly removed. The medial basal hypothalamus (MBH) was dissected away from the rest of the brain and flash frozen. Total RNA was isolated from each sample using Qiagen''s RNeasy Mini Kit (Valencia, CA). Samples were bioanalyzed on a RNA 6000 Nano chip kit to check for integrity and concentration before sending it to OHSU''s Massively Parallel Sequencing Shared Resource for library preparation and sequencing.

Publication Title

Trithorax dependent changes in chromatin landscape at enhancer and promoter regions drive female puberty.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12457
Comparison of Environmental and Genetic models of ADHD
  • organism-icon Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

ADHD is the most common neurobehavioral disorder in school-aged children. In addition to genetic factors, environmental influences or gene x environmental interactions also play an important role in ADHD. One example of a well studied environmental risk factor for ADHD is exposure to polychlorinated biphenyls (PCBs). In this study, we investigated whether the well-established genetic model of ADHD based on the Spontaneously Hypertensive Rat (SHR) and a well established PCB-based model of ADHD exhibited similar molecular changes in brain circuits involved in ADHD. The brains from 28 male rats (8 SHR, 8 Sprague-Dawley (SD) controls, 8 Wistar-Kyoto (WKY) controls, and 4 PCB-exposed SD rats) were harvested at postnatal day 55-65 and RNA was isolated from six brain regions of interest. The RNA was analyzed for differences in expression of a set of 308 probe sets interrogating 218 unique genes considered highly relevant to ADHD or epigenetic gene regulation using the Rat RAE 230 2.0 GeneChip (Affymetrix). Selected observations were confirmed by real time quantitative RT-PCR. The results show that the expression levels of genes Gnal, COMT, Adrbk1, Ntrk2, Hk1, Syt11 and Csnk1a1 were altered in both the SHR rats and the PCB-exposed SD rats. Arrb2, Stx12, Aqp6, Syt1, Ddc and Pgk1 expression levels were changed only in the PCB-exposed SD rats. Genes with altered expression only in the SHRs included Oprm1, Calcyon, Calmodulin, Lhx1 and Hes6.The epigenetic genes Crebbp, Mecp2 and Hdac5 are significantly altered in both models. The data provide strong evidence that genes and environment can affect different set of genes in two different models of ADHD and yet result in the similar disease-like symptoms.

Publication Title

A comparison of molecular alterations in environmental and genetic rat models of ADHD: a pilot study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41094
Transcript analyses of cisplatin and Sky1 effects in Saccharomyces cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Sky1 is a Saccharomyces cerevisiae rich serine-arginine (SR) protein-specific kinase and its enzymatic activity is essential in the cytotoxicity caused by cisplatin, although the molecular mechanisms supporting this function are not understood. We present a transcriptome analysis discriminating between RNA changes induced by cisplatin which are dependent or independent of the Sky1 function.

Publication Title

Sky1 regulates the expression of sulfur metabolism genes in response to cisplatin.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12817
Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low, intermediate and high [glucose]
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Background: Survival and function of insulin-secreting pancreatic -cells are markedly altered by changes in nutrient availability. In vitro, culture in 10 rather than 2mM glucose improves rodent -cell survival and function whereas glucose concentrations above 10mM are deleterious. Aim-Method: To identify the mechanisms of such -cell plasticity, we tested the effects of a 18h culture at 2, 5, 10 and 30mM glucose on the transcriptome of rat islets precultured for 1 week at 10mM glucose (Affymetrix Rat 230.2 arrays). Results: Culture in either 2-5mM or 30mM instead of 10mM glucose markedly impaired -cell function without affecting islet cell survival. Of ~16000 probe sets reliably detected in islets, ~5000 were significantly regulated at least 1.4-fold by glucose. Analysis of these probe sets with GeneCluster software identified 10 mRNA profiles with unidirectional up- or down-regulation between 2 and 10, 2 and 30, 5 and 10, 5 and 30 or 10 and 30 mM glucose, and 8 complex V-shaped or inverse V-shaped profiles with a nadir or peak level of expression in 5 or 10mM glucose. Analysis of genes belonging to these various clusters with Onto-express and GenMapp software revealed several signaling and metabolic pathways that may contribute to the induction of -cell dysfunction and apoptosis after culture in low or high vs. intermediate glucose concentration. Conclusion: We have identified 18 distinct mRNA profiles of glucose-induced changes in islet gene mRNA levels that should help understanding the mechanisms by which glucose affects -cell survival and function under states of chronic hypo- or hyperglycemia.

Publication Title

Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low-, intermediate- and high-glucose concentrations.

Sample Metadata Fields

No sample metadata fields

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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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