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accession-icon GSE2873
Burden-2R01NS036193-06A1
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These experiments are designed to discover genes that are expressed selectively by synaptic nuclei in skeletal muscle with the particular goal of identifying genes that regulate motor axon growth and differentiation.

Publication Title

CD24 is expressed by myofiber synaptic nuclei and regulates synaptic transmission.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP109826
Transcriptional impact of MTHFD2 in Human Aortic Endothelial Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We performed transcriptome analysis of Human Aortic Endothelial Cells after siRNA mediated knockdown of MTHFD2. We identified MTHFD2 as a key driver for a gene cluster which integrates mitochondrial one-carbon metabolism, serine synthesizing enzymes as well as common amino acid and ER stress response genes. Overall design: Human Aortic Endothelial Cells were treated with three different siRNAs against MTHFD2 or scramble for 72 h

Publication Title

Oxidized phospholipids regulate amino acid metabolism through MTHFD2 to facilitate nucleotide release in endothelial cells.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE27200
Expression data from Sotos syndrome patients and controls
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome-wide expression studies were performed on dermal fibroblasts from Sotos syndrome patients with a confirmed NSD1 abnormality and compared with age-sex matched controls.

Publication Title

Sotos syndrome is associated with deregulation of the MAPK/ERK-signaling pathway.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE14786
Gene expression analysis of cancer-related fatigue in whole blood from breast cancer survivors
  • organism-icon Homo sapiens
  • sample-icon 319 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Cancer-related fatigue is one of the most frequent complaints among breast cancer survivors, with a major negative impact on general life. However, the etiology behind this syndrome is still unraveled. Gene expression analysis was performed on whole blood samples from breast cancer survivors classified as either fatigued or non-fatigued at two consecutive time points. The analysis identified several gene sets concerning plasma and B cell pathways as different between the fatigue and non-fatigue groups, suggesting that a deregulation in these pathways might underlie the fatigue syndrome. The fatigue group also showed a higher mean level of leucocytes, lymphocytes and neutrophiles compared with the non-fatigue group, thus further implicating the immune system in the biology behind the fatigue syndrome.

Publication Title

Alterations of gene expression in blood cells associated with chronic fatigue in breast cancer survivors.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE51994
Spatial Regulation of Gene Expression in Articular Cartilage Assessed by Laser Captured Microdissection and Microarray
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used laser capture microdissection to isolate different zones of the articular cartilage from proximal tibiae of 1-week old mice, and used microarray to analyze global gene expression. Bioinformatic analysis corroborated previously known signaling pathways, such as Wnt and Bmp signaling, and implicated novel pathways, such as ephrin and integrin signaling, for spatially associated articular chondrocyte differentiation and proliferation. In addition, comparison of the spatial regulation of articular and growth plate cartilage revealed unexpected similarities between the superficial zone of the articular cartilage and the hypertrophic zone of the growth plate.

Publication Title

Gene expression profiling reveals similarities between the spatial architectures of postnatal articular and growth plate cartilage.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE54216
Expression data of articular and growth plate cartilage zones in 10-day-old rat proximal tibial epiphysis
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Articular and growth plate cartilage have comparable structures consisting of three distinct layers of chondrocytes, suggesting similar differentiation programs and therefore similar gene expression profiles. To address this hypothesis and to explore transcriptional changes that occur during the onset of articular and growth plate cartilage divergence, we used microdissection of 10-day-old rat proximal tibial epiphyses, microarray analysis, and bioinformatics to compare gene expression profiles in individual layers of articular and growth plate cartilage.

Publication Title

Gene expression profiling reveals similarities between the spatial architectures of postnatal articular and growth plate cartilage.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP171158
Mutationally-activated PI3'-kinase-a promotes de-differentiation of lung tumors initiated by the BRAFV600E oncoprotein kinase
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Human lung adenocarcinoma exhibits a propensity for de-differentiation, which complicates diagnosis and treatment, and predicts for poor overall patient survival. In genetically engineered mouse (GEM) models of lung cancer, expression of the BRAFV600E oncoprotein kinase initiates the growth of benign tumors that retain characteristics of their cell of origin, alveolar type II (ATII) pneumocytes. Cooperating genetic alterations such as silencing of the PTEN tumor suppressor or expression of mutationally-activated PI3-kinase-a (PIK3CAH1047R) promote malignant progression of such benign tumors to malignant adenocarcinoma, though their effects on differentiation status are unknown. To address this in vivo, we generated a new conditional BrafCAT allele in which Cre-mediated recombination leads to expression of a bi-cistronic mRNA encoding both BRAFV600E and the tdTomato fluorescent protein. Using this model, we demonstrate that coincident expression of BRAFV600E and PIK3CAH1047R in ATII pneumocytes leads to rapid and widespread cell de-differentiation. Surprisingly, the combined effects of BRAFV600E and PIK3CAH1047R on ATII pneumocyte identity occurred without loss of expression of the lung lineage transcription factors NKX2.1, FOXA1, or FOXA2. Instead, we demonstrate a novel role of PGC1a in maintaining pneumocyte identity, which is lost upon PIK3CAH1047R expression. These findings provide additional insight into how two of the most commonly mutated growth factor signaling pathways contribute to the pathogenesis of lung adenocarcinoma. Overall design: BRAFV600E mutant mouse lung adenocarcinoma (n=6) vs BRAFV600E;PIK3CAH1047R mutant lung adenocarcinoma (n= 8), and BRAFV600E;PGC1aHET (n=5) vs BRAFV600E;PGC1aNULL tumors (n=4)

Publication Title

Mutationally-activated PI3'-kinase-α promotes de-differentiation of lung tumors initiated by the BRAF<sup>V600E</sup> oncoprotein kinase.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon E-TABM-53
Transcription profiling of human nephroblastoma
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A ""Cartes d'Identite des Tumeurs"" (CIT) project from the french Ligue Nationale Contre le Cancer (<a href="http://cit.ligue-cancer.net" target="_blank">http://cit.ligue-cancer.net</a>). 73 samples (60 tumoral, 6 normal kidneys (NK), 3 fetal kidneys (FK) and 4 cell lines (L)), hybridized on Affymetrix HG-U133A GeneChips.Tumor classification based on a characterization of WT1 and Betacatenin. Identification of major differences between two categories of Wilms' Tumors defined according to WT1 and CTNNB1 genomic and expression features. First large scale study based on post-chemotherapy resected tumors, according to the SIOP protocoles.

Publication Title

WNT/beta-catenin pathway activation in Wilms tumors: a unifying mechanism with multiple entries?

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE17388
Gene expression analysis of rat livers treated with pharmaceutical development compounds
  • organism-icon Rattus norvegicus
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

We used microarrays to analyze gene expression changes in liver after treatment of rats with two compounds from drug development (R1, R2) to identify potential effects related to hepatotoxicity.

Publication Title

Gene expression-based in vivo and in vitro prediction of liver toxicity allows compound selection at an early stage of drug development.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE6095
Diagnosis of Acute Lung Rejection by Gene Expression Profiling of Bronchoalveolar Lavage Cells
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Human Genome U133A Array (hgu133a)

Description

Acute lung rejection is a risk factor for chronic rejection, jeopardizing the long-term survival of lung transplant recipients. At present, acute rejection is diagnosed by transbronchial lung biopsies, which are invasive, expensive, and subject to significant sampling error. In this study, we sought to identify groups of genes whose collective expression in BAL cells best classifies acute rejection versus no-rejection. BAL samples were analyzed from 32 unique subjects whose concurrent histology showed acute rejection (n=14) or no rejection (n=18). Global BAL cell gene expression was measured using Affymetrix U133A microarrays. The nearest shrunken centroid method with 10-fold cross validation was used to define the classification model. 250 runs of the algorithm were performed to determine the range of misclassification error and the most influential genes in determining classifiers. The estimated overall misclassification rate was below 20%. Seven transcripts were present in every classifier and 52 transcripts were present in at least 70% of classifiers; these transcripts were notable for involvement with T-cell function, cytotoxic CD8 activity, and granulocyte degranulation. The proportions of both lymphocytes and neutrophils in BAL samples increased with increasing probability of acute rejection; this trend was more pronounced with neutrophils. We conclude that there is a prominent acute rejection-associated signature in BAL cells characterized by increased T-cell, CD8+ cytotoxic cell, and neutrophil gene expression; this is consistent with established mechanistic concepts of the acute rejection response.

Publication Title

Bronchoalveolar lavage cell gene expression in acute lung rejection: development of a diagnostic classifier.

Sample Metadata Fields

No sample metadata fields

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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