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accession-icon SRP151501
Nuclear actin is required for transcription during Drosophila oogenesis [RNA-seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

we performed transcriptomic analysis of the RanBP9del1 mutant ovaries compared to wild type Overall design: explore the consequences of decreased nuclear actin on transcription

Publication Title

Nuclear Actin Is Required for Transcription during Drosophila Oogenesis.

Sample Metadata Fields

Subject

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accession-icon SRP062085
Association of Taf14 with acetylated histone H3 directs the DNA damage response and gene transcription
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We sequenced mRNA from triplicate log-phase cultures of BY4741 (WT) transformed with pRS313-HA3-SSN6 and taf14D transformed with pRS313-HA3-SSN6 (empty vector), full-length pRS313-TAF14-HA3-SSN6, or pRS313-taf14W81A-HA3-SSN6 cultured in synthetic complete media lacking histidine. Overall design: Examination of changes in gene expression when the YEATS domain of Taf14 is mutated so it cannot bind acetyl-H3.

Publication Title

Association of Taf14 with acetylated histone H3 directs gene transcription and the DNA damage response.

Sample Metadata Fields

Subject

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accession-icon SRP044640
Striatal genes regulated by super-enhancers and displaying low paused RNAPII are preferentially down-regulated in Huntington's disease [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Huntington neurodegenerative disease (HD) is associated with extensive down-regulation of neuronal genes. We show preferential down-regulation of super-enhancer-regulated neuronal function genes in the striatum of HD mice. Striatal super-enhancers display extensive H3K27 acetylation within gene bodies and drive transcription characterized by low levels of paused RNAPII. Down-regulation of gene expression is associated with diminished H3K27 acetylation and RNAPII recruitment. Striatal super-enhancers are enriched in binding motifs for Gata transcription factors, such as Gata2 regulating striatal identity genes. Thus, enhancer topography and transcription dynamics are major parameters determining the propensity of a gene to be deregulated in a neurodegenerative disease. Overall design: RNA profiles in Striatum of WT and R6/1 mice by deep sequencing using Illumina HiSeq 2000.

Publication Title

Altered enhancer transcription underlies Huntington's disease striatal transcriptional signature.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE87331
Distinct gene expression patterns of highly and poorly malignant melanocytic tumors from genetically engineered mouse models of mice carrying specific inactivating mutations in Ink4A or ARF respectively
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Cutaneous malignant melanoma is among the most deadly human cancers, broadly resistant to most clinical therapies. A majority of patients with BRAFV600E melanomas respond well to inhibitors such as vemurafenib, but all ultimately relapse. Moreover, there are no viable treatment options available for other non-BRAF melanoma subtypes in the clinic. A key to improving treatment options lies in a better understanding of mechanisms underlying melanoma progression, which are complex and heterogeneous. In this study we perform gene expression profilling of highly and poorly malignant melanocytic tumors from genetically engineered mouse models to discover important drivers of cancer progression.

Publication Title

Integrated Genomics Identifies miR-32/MCL-1 Pathway as a Critical Driver of Melanomagenesis: Implications for miR-Replacement and Combination Therapy.

Sample Metadata Fields

Specimen part

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accession-icon GSE18571
Rapamycin treatment of MDA-MB-468 breast cancer cell line and MDA-MB-468 xenografts
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mammalian target of rapamycin (mTOR) is a serine/threonine kinase involved in multiple intracellular signaling pathways promoting tumor growth. mTOR is aberrantly activated in a significant portion of breast cancers and is a promising target for treatment. Rapamycin and its analogues are in clinical trials for breast cancer treatment. Patterns of gene expression (metagenes) may also be used to simulate a biologic process of effects of a drug treatment. In this study, we tested the hypothesis that the gene-expression signature regulated by rapamycin could predict disease outcome for patients with breast cancer. Results: Colony formation and sulforhodamine B (IC50 < 1nM) assays, and xenograft animals showed that MDA-MB-468 cells were sensitive to treatment with rapamycin. The comparison of in vitro and in vivo gene expression data identified a signature, termed rapamycin metagene index (RMI), of 31 genes upregulated by rapamycin treatment in vitro as well as in vivo (false discovery rate of 10%). In the Miller dataset, RMI was significantly associated with tumor size or lymph node status. High (>75) percentile) RMI was significantly associated with longer survival (P = 0.015). On multivariate analysis, RMI (P = 0.029), tumor size (P = 0.015) and lymph node status (P = 0.01) were prognostic. In van 't Veer study, RMI was not associated with the time to develop distant metastasis (P = 0.41). In Wang dataset, RMI predicted time to disease relapse (P = 0.09). Conclusions: Rapamycin-regulated gene expression signature predicts clinical outcome in breast cancer. This supports the central role of mTOR signaling in breast cancer biology and provides further impetus to pursue mTOR-targeted therapies for breast cancer treatment. Mol Cancer. 2009 Sep 24;8(1):75.

Publication Title

The rapamycin-regulated gene expression signature determines prognosis for breast cancer.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon SRP131037
Using Next-Generation Sequencing Transcriptomics to Determine Markers of Post-traumatic Symptoms - preliminary findings from a post-deployment cohort
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist. Overall design: Peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms)

Publication Title

Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers.

Sample Metadata Fields

Sex, Subject

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accession-icon GSE45695
Regulation by growth temperature of Pseudomonas aeruginosa quorum-sensing depedent virulence factors production involves two RNA-thermometers.
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Several bacterial human pathogens regulate the production of virulence factors by temperature, expressing them only at 37 C. Accordingly we show that the production of all P. aeruginosa virulence factors that are dependent on the QS transcriptional regulator RhlR, but only a fraction that are activated by LasR, are induced at 37 C compared to 30 C or 25 C. The RhlR-dependent induction at 37 C is a posttranscriptional effect due to an RNA thermometer of the ROSE family that thermoregulates the expression of rhlAB operon involved in rhamnolipids production, a virulence associated trait. This RNA structure also affects the expression of the downstream rhlR gene. A second thermometer is present upstream lasI and causes a reduced expression of this gene at lower temperatures without causing a significant decrease of the autoinducer 3-oxo-dodecanoyl homoserine lactone.

Publication Title

Regulation of Pseudomonas aeruginosa virulence factors by two novel RNA thermometers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9280
The effect of dietary calcium and dairy proteins on adipose tissue gene expression profile in diet induced obesity
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The effect of dietary calcium and dairy proteins on adipose tissue gene expression profile in diet induced obesity

Publication Title

Effect of dietary calcium and dairy proteins on the adipose tissue gene expression profile in diet-induced obesity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43290
Expression data from meningiomas and normal meninges
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Correlate the gene expression profiles with the most relevant patterns of chromosome abnormalities (cytogenetic subgroups of meningiomas) and the gene expression profiles could help to explain the differences in clinical behaviour of meningiomas.

Publication Title

Gene expression profiles of meningiomas are associated with tumor cytogenetics and patient outcome.

Sample Metadata Fields

Sex, Age, Disease stage

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accession-icon GSE33188
Expression data from Pseudomonas aeruginosa PAO1 and its isogenic ampR mutant in the presence and absence of sub-MIC -lactam exposure.
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

The transcriptional regulator AmpR controls expression of the AmpC -lactamase in P. aeruginosa and other bacteria. Studies have demonstrated that in addition to regulating ampC expression, AmpR also regulates the expression of the sigma factor AlgT/U and the production of some quorum-sensing regulated virulence factors. In order to understand the ampR regulon, we compared the expression profiles of PAO1 and its isogenic ampR mutant, PAOampR in the presence and absence of sub-MIC -lactam stress. The analysis demonstrates that the ampR regulon is much more extensive than previously thought, with the deletion of ampR affecting the expression of over 300 genes. Expression of an additional 207 genes are affected by AmpR when the cells are exposed to sub-MIC -lactam stress, indicating that the ampR regulon in P. aeruginosa is much more extensive than previously thought.

Publication Title

The regulatory repertoire of Pseudomonas aeruginosa AmpC ß-lactamase regulator AmpR includes virulence genes.

Sample Metadata Fields

Specimen part

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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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