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accession-icon SRP049142
Mus musculus strain:CL57BL6x129 Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Identification of downstream genes of onecut transcriptions factors in the developing retina

Publication Title

Onecut1 and Onecut2 redundantly regulate early retinal cell fates during development.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE78000
Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Invasive aspergillosis (IA) is a devastating opportunistic infection and its treatment constitutes a considerable burden for the health care system. Immunocompromised patients are at an increased risk for IA, which is mainly caused by the species Aspergillus fumigatus. An early and reliable diagnosis is required to initiate the appropriate antifungal therapy. However, diagnostic sensitivity and accuracy still needs to be improved, which can be achieved at least partly by the definition of new biomarkers. Besides the direct detection of the pathogen by the current diagnostic methods, the analysis of the host response is a promising strategy towards this aim. Following this approach, we sought to identify new biomarkers for IA. For this purpose, we analyzed gene expression profiles of haematological patients and compared profiles of patients suffering from IA with non-IA patients. Based on microarray data, we applied a comprehensive feature selection using a random forest classifier. We identified the transcript coding for the S100 calcium-binding protein B (S100B) as a potential new biomarker for the diagnosis of IA. Considering the expression of this gene, we were able to classify samples from patients with IA with 82.3% sensitivity and 74.6% specificity. Moreover, we validated the expression of S100B in a real-time RT-PCR assay and we also found a down-regulation of S100B in A.fumigatus stimulated DCs. An influence on the IL1B and CXCL1 downstream levels was demonstrated by this S100B knockdown. In conclusion, this study covers an effective feature selection revealing a key regulator of the human immune response during IA. S100B may represent an additional diagnostic marker that in combination with the established techniques may improve the accuracy of IA diagnosis.

Publication Title

Genome-Wide Expression Profiling Reveals S100B as Biomarker for Invasive Aspergillosis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE39716
Expression data from pheochromocytoma (PHEO) and paraganglioma (PGL) tumor samples
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genotype specific differences in expression profiles have been evaluated using human HuGene1.0-ST Gene Chips. In this dataset we include expression data obtained from 8 normal adrenal medulla and 45 PHEOs/PGLs patient samples.

Publication Title

Genotype and tumor locus determine expression profile of pseudohypoxic pheochromocytomas and paragangliomas.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP055444
Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in Chronic Lymphocytic Leukemia
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

IGHV mutation status is a well-established prognostic factor in chronic lymphocytic leukemia, and also provides crucial insights into tumor cell biology and function. Currently, determination of IGHV transcript sequence, from which mutation status is calculated, requires a specialized laboratory procedure. RNA sequencing is a method that provides high resolution, high dynamic range transcriptome data that can be used for differential expression, isoform discovery, and variant determination. In this paper, we demonstrate that unselected next-generation RNA sequencing can accurately determine the IGH@ sequence, including the complete sequence of the complementarity-determining region 3 (CDR3), and mutation status of CLL cells, potentially replacing the current method which is a specialized, single-purpose Sanger-sequencing based test. Overall design: CLL cells were sequenced by mRNA-seq on the Illumina platform then subjected to the costom bioinformatic pipeline Ig-ID which yields IGH data

Publication Title

Immunoglobulin transcript sequence and somatic hypermutation computation from unselected RNA-seq reads in chronic lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6795
Expression data from C57BL6 tissues and 3T3-L1 fibroblasts
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Xanthine oxidoreductase is a regulator of adipogenesis and PPARgamma activity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6794
Expression data from 3T3-L1 adipogenesis
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

3T3-L1 fibroblasts are a commonly used in vitro model for adipogenesis. When induced with hormones, they differentiate into mature fat cells. Here, microarrays were used to study 3T3-L1 adipose differentiation through time.

Publication Title

Xanthine oxidoreductase is a regulator of adipogenesis and PPARgamma activity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6793
Expression data from select tissues harvested from C57BL6 mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

Gene expression was studied from different mouse tissues

Publication Title

Xanthine oxidoreductase is a regulator of adipogenesis and PPARgamma activity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE57322
Sex-specific mRNA and miRNA expression data from Drosophila larvae, pupae and adults
  • organism-icon Drosophila melanogaster
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sex-biased gene expression and sexual conflict throughout development.

Sample Metadata Fields

Sex

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accession-icon GSE57320
Sex-specific mRNA and miRNA expression data from Drosophila larvae, pupae and adults [mRNA]
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Sex differences in gene expression throughout development are poorly understood, especially sex-specific expression of micro RNAs. However these patterns of gene expression could have important implications in our understanding of the underlying mechanics of sex differentiation and sexual conflict.

Publication Title

Sex-biased gene expression and sexual conflict throughout development.

Sample Metadata Fields

Sex

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accession-icon GSE18224
Female sex and oestrogen receptor attenuate cardiac remodelling and apoptosis in pressure overload
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Aims: We investigate sex differences and the role of oestrogen receptor beta (ERbeta) in a mouse model of pressure overload-induced myocardial hypertrophy. Methods and results: We performed transverse aortic constriction (TAC) or sham surgery in male and female wild-type (WT) and ERbeta knockout (ERbeta-/-) C57Bl6 mice. All mice were characterised by echocardiography and haemodynamic measurements and were sacrificed nine weeks after surgery. Left ventricular (LV) samples were analysed by microarray profiling, real-time RT-PCR and histology. After nine weeks, WT males showed more hypertrophy and heart failure signs than WT females. Notably, WT females developed a concentric form of hypertrophy, while males developed eccentric hypertrophy. These sex differences were abolished in ERbeta-/- mice. ERbeta deletion augmented the TAC-induced increase in cardiomyocyte diameter in both sexes. Gene expression profiling revealed that male WT hearts had a stronger induction of matrix-related genes and a stronger repression of mitochondrial genes than female hearts. ERbeta-/- mice exhibited a different transcriptome. Induction of pro-apoptotic genes after TAC occurred in ERbeta-/- mice of both sexes with a stronger expression in ERbeta-/- males. Histological analysis revealed, that cardiac fibrosis was more pronounced in male WT TAC than in female mice. This was abolished in ERbeta-/- mice. Apoptosis was significantly induced in both sexes of ERbeta-/- TAC mice, but it was most prominent in males. Conclusion: Female sex offers protection against ventricular chamber dilation in the TAC model. Both the female sex and ERbeta attenuate the development of fibrosis and apoptosis; thus slowing the progression to heart failure.

Publication Title

Female sex and estrogen receptor-beta attenuate cardiac remodeling and apoptosis in pressure overload.

Sample Metadata Fields

Sex, Age, 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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