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accession-icon GSE7808
Region specific gene expression profiling along the human epididymis
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of the gene expression pattern in the caput, corpus and cauda epididymides of three donors of 26-50 years of age with no medical pathologies that could affect reproductive function. The data generated in this study demonstrate a region specific gene expression pattern along the human epididymis that seems to coincide with the morphological distinctive features of the excurrent duct.

Publication Title

Region-specific gene expression profiling along the human epididymis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9731
Effects of vasectomy on gene expression profiling along the human epididymis
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Worldwide, almost 100 millions men rely on vasectomy for male contraceptive purposes. Due to changes in their personal life, an increasing number of these men request surgical vasectomy reversal. Unfortunately, a significant proportion of these men remain infertile, despite the reestablishment of patent ducts, possibly due to epididymal damages caused by vasectomy. In animal models, vasectomy affects different epididymal physiological and biochemical parameters. However, consequences of vasectomy on these biochemical parameters are poorly understood at the molecular level. Furthermore, results obtained with animal models cannot by extrapolated to human to understand the consequences of vasectomy on epididymal functions. Gene expression pattern of epididimydis is highly regulated. We previously showed that the human epididymal expression pattern of two genes is altered under vasectomy. To complete the list of epididymal genes affected by vasectomy, we analysed the epididymal gene expression profile of three vasectomised donors, using the affymetrix human GeneChip U133 Plus 2. These results were compared with gene expression pattern of three normal donors. The data generated allowed the identification of many human epididymal genes for which the expression is modified under vasectomy. Qt-PCR and western-blot analysis of six selected genes known to be expressed in specific epididymal segments were performed. The Qt-PCR results confirmed the selected transcripts expression pattern deduced from microarrays data, while the western-blot analysis revealed some differences in protein distribution along the epididymis when compared to the transcripts expression pattern. These results contribute to the understanding of the causes of the persistent of infertility even though spermogram values suggest surgical success of vasovasostomy.

Publication Title

Effects of vasectomy on gene expression profiling along the human epididymis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18005
Human colorectal cancer cell lines treated with several inhibitors of PI3Kinase AKT signaling pathway
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Signal transduction processes mediated by phosphatidyl inositol phosphates affect a broad range of cellular processes such as cell cycle progression, migration and cell survival. The protein kinase AKT is one of the major effectors in this signaling network. Chronic AKT activation contributes to oncogenic transformation and tumor development. Therefore, new small drugs were designed to block AKT activity for cancer treatment.

Publication Title

Characterization of AKT independent effects of the synthetic AKT inhibitors SH-5 and SH-6 using an integrated approach combining transcriptomic profiling and signaling pathway perturbations.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE11113
Expression profiling of a high-fertility mouse line by microarray analysis and qPCR.
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The objective of the present study was to identify genes that are involved in increasing the ovulation number in mouse line FL1 that had been selected for high fertility performance.

Publication Title

Expression profiling of a high-fertility mouse line by microarray analysis and qPCR.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7669
Synovial fibroblasts, RA versus OA
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

mRNA expression levels in synovial fibroblasts in 6 rheumatoid arthritis patients versus 6 osteoarthritis patients.

Publication Title

Constitutive upregulation of the transforming growth factor-beta pathway in rheumatoid arthritis synovial fibroblasts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15434
Gene expression profiling in AML with normal karyotype: A multicenter study investigating molecular markers in 251 cases
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute myeloid leukemia (AML) is a heterogeneous disease and AML with normal karyotype (AML-NK) is categorized as an intermediate-risk group. Over the past years molecular analyses successfully identified biomarkers that will further allow to dissecting clinically meaningful subgroups in this disease. Thus far, somatic mutations were identified which elucidate the disturbance of cellular growth, proliferation, and differentiation processes in hematopoietic progenitor cells. In AML-NK, acquired gene mutations with prognostic relevance were identified for FLT3, CEBPA, and NPM1. FLT3-ITD mutations were associated with short relapse-free and overall survival, while mutations in CEBPA or NPM1 (without concomitant FLT3-ITD) had a more favorable outcome.

Publication Title

Quantitative comparison of microarray experiments with published leukemia related gene expression signatures.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE24427
Expression data of multiple sclerosis patients receiving subcutaneous Interferon-beta-1b therapy [U133 A and B]
  • organism-icon Homo sapiens
  • sample-icon 250 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The purpose of this study was to characterize the transcriptional effects induced by subcutaneous IFN-beta-1b treatment (Betaferon, 250 g every other day) in patients with relapsing-remitting form of multiple sclerosis (MS).

Publication Title

Long-term genome-wide blood RNA expression profiles yield novel molecular response candidates for IFN-beta-1b treatment in relapsing remitting MS.

Sample Metadata Fields

Sex

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accession-icon GSE19285
Expression data of multiple sclerosis patients receiving intramuscular Interferon-beta-1a therapy [U133 A and B]
  • organism-icon Homo sapiens
  • sample-icon 137 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The purpose of this study was to characterize the transcriptional effects induced by intramuscular IFN-beta-1a treatment (Avonex, 30 g once weekly) in patients with relapsing-remitting form of multiple sclerosis (MS). By using Affymetrix DNA microarrays, we obtained genome-wide expression profiles of peripheral blood mononuclear cells from 24 MS patients within the first four weeks of IFN-beta administration.

Publication Title

Network analysis of transcriptional regulation in response to intramuscular interferon-β-1a multiple sclerosis treatment.

Sample Metadata Fields

Sex

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accession-icon E-MEXP-271
Transcription profiling of human hep2 cells infected with Streptococcus pyogenes over time
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

Two biological replicate experiments were performed to estimate the bias of the gene expression pattern of infected and non-infected HEp-2 cells. Microarrays hybridized with RNA from 2 h of non-infected HEp-2 cells were used as reference chips for the comparison with microarrays hybridized with RNA from 2 h and 4 h of eukaryotic cells exposed to wt-bacteria and .fasX-mutant. As a reference for chips hybridized with RNA prepared from 6 h p. i. and 8 h p. i. of both GAS-infected HEp-2 cells we used chips that were hybridized with RNA isolated from non-infected cells 8 h p. i. We also compared the microarray data from 2 h of non-infected HEp-2 cells with those from 8 h of non-infected HEp-2 cells to determine the influence of the extended culture on the non-infected cells. Only such genes which were differentially regulated after infection with wt-bacteria and .fasX-mutant infected cells and not differentially present in unequal amounts between the 2 h and 8 h of controls were included in the subsequent statistical analysis.

Publication Title

Global epithelial cell transcriptional responses reveal Streptococcus pyogenes Fas regulator activity association with bacterial aggressiveness.

Sample Metadata Fields

Disease, Disease stage, Cell line, Time

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accession-icon GSE18679
TimEX from human embryonic stem cells, mesenchymal stem cells, and erythroid cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The organization of mammalian DNA replication is poorly understood. We have produced genome-wide high-resolution dynamic maps of the timing of replication in human erythroid, mesenchymal and embryonic stem cells using TimEX, a method that relies on gaussian convolution of massive, highly redundant determinations of DNA copy number variations during S phase obtained using either high-density oligonucleotide tiling arrays or massively-parallel sequencing to produce replication timing profiles. We show that in untransformed human cells, timing of replication is highly regulated and highly synchronous, and that many genomic segments are replicated in temporal transition regions devoid of initiation where replication forks progress unidirectionally from origins that can be hundreds of kilobases away. Absence of initiation in one transition region is shown at the molecular level by SMARD analysis. Comparison of ES and erythroid cells replication patterns revealed that these cells replicate about 20% of their genome in different quarter of S phase and that ES cells replicate a larger proportion of their genome in early S phase than erythroid cells. Importantly, we detected a strong inverse relationship between timing of replication and distance to the closest expressed gene. This relationship can be used to predict tissue specific timing of replication profiles from expression data and genomic annotations. We also provide evidence that early origins of replication are preferentially located near highly expressed genes, that mid firing origins are located near moderately expressed genes and that late firing origins are located far from genes.

Publication Title

Predictable dynamic program of timing of DNA replication in human cells.

Sample Metadata Fields

Specimen part

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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