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accession-icon GSE18592
Estrogen Coordinates Translation and Transcription Revealing a Role for NRSF in Human Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).

Publication Title

Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.

Sample Metadata Fields

Cell line

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accession-icon GSE23616
Integrated Genomics of Ovarian Xenograft Tumor Progression and Chemotherapy Response
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Xenograft ovarian tumors are useful model to test therapeutic candidates in vivo. We used microarrays to gain insight into the expression changes during tumor growth and induced by the vitamin D analog, MT19C at multiple time points.

Publication Title

Integrated genomics of ovarian xenograft tumor progression and chemotherapy response.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP149159
Ribonucleotide excision repair is essential to prevent skin cancer [CD45+ CD49f- epidermal cells]
  • organism-icon Mus musculus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Large numbers of ribonucleotides are incorporated into the eukaryotic nuclear genome during S-phase due to imperfect discrimination against ribonucleoside triphosphates by the replicative DNA polymerases. Ribonucleotides, by far the most common DNA lesion in replicating cells, destabilize the DNA, and an evolutionarily conserved DNA repair machinery, ribonucleotide excision repair (RER), ensures ribonucleotide removal. Complete lack of RER is embryonically lethal. Partial loss-of-function mutations in the genes encoding subunits of RNase H2, the enzyme essential for initiation of RER, cause the SLE-related type I interferonopathy Aicardi-Goutières syndrome. Here we establish that selective inactivation of RER in mouse epidermis results in spontaneous DNA damage, epidermal hyperproliferation associated with loss of hair follicle stem cells and hair follicle function. The animals develop keratinocyte intraepithelial neoplasia and invasive squamous cell carcinoma with complete penetrance, despite potent type I interferon production and skin inflammation. Compromised RER-mediated genome maintenance might represent an important tumor-promoting principle in human cancer. Overall design: CD45+ CD49f- cells were were isolated from skin cell suspensions by FACS. Total RNA was isolated using the RNeasy Micro Kit+ (Qiagen). mRNA libraries were prepared using a SMART protocol and subjected to deep sequencing on an Illumina®HiSeq 2500.

Publication Title

Ribonucleotide Excision Repair Is Essential to Prevent Squamous Cell Carcinoma of the Skin.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP149158
Ribonucleotide excision repair is essential to prevent skin cancer [CD49f+ epidermal cells]
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Large numbers of ribonucleotides are incorporated into the eukaryotic nuclear genome during S-phase due to imperfect discrimination against ribonucleoside triphosphates by the replicative DNA polymerases. Ribonucleotides, by far the most common DNA lesion in replicating cells, destabilize the DNA, and an evolutionarily conserved DNA repair machinery, ribonucleotide excision repair (RER), ensures ribonucleotide removal. Complete lack of RER is embryonically lethal. Partial loss-of-function mutations in the genes encoding subunits of RNase H2, the enzyme essential for initiation of RER, cause the SLE-related type I interferonopathy Aicardi-Goutières syndrome. Here we establish that selective inactivation of RER in mouse epidermis results in spontaneous DNA damage, epidermal hyperproliferation associated with loss of hair follicle stem cells and hair follicle function. The animals develop keratinocyte intraepithelial neoplasia and invasive squamous cell carcinoma with complete penetrance, despite potent type I interferon production and skin inflammation. Compromised RER-mediated genome maintenance might represent an important tumor-promoting principle in human cancer. Overall design: Keratinocytes (CD49f+) cells were isolated from skin cell suspensions by FACS. Total RNA was isolated using the RNeasy Mini Kit+ (Qiagen). mRNA libraries were prepared and subjected to deep sequencing on an Illumina®HiSeq.

Publication Title

Ribonucleotide Excision Repair Is Essential to Prevent Squamous Cell Carcinoma of the Skin.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP008976
Personal Omics Profiling Reveals Dynamic Molecular Phenotypes and Actionable Medical Risks
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina Genome Analyzer

Description

We have determined the whole genome sequence of an individual at high accuracy and performed an integrated analysis of omics profiles over a 1.5 year period that included healthy and two virally infected states. Omics profiling of transcriptomes, proteomes, cytokines, metabolomes and autoantibodyomes from blood components have revealed extensive, dynamic and broad changes in diverse molecular components and biological pathways that occurred during healthy and disease states. Many changes were associated with allele- and edit-specific expression at the RNA and protein levels, which may contribute to personalized responses. Importantly, genomic information was also used to predict medical risks, including Type II Diabetes (T2D), whose onset was observed during the course of our study using standard clinical tests and molecular profiles, and whose disease progression was monitored and subsequently partially managed. Our study demonstrates that longitudinal personal omics profiling can relate genomic information to global functional omics activity for physiological and medical interpretation of healthy and disease states. Overall design: Examination of blood component in 20 different time points over 1.5 years which includes 2 disease state and 18 healty state Related exome studies at: SRX083314 SRX083313 SRX083312 SRX083311

Publication Title

Personal omics profiling reveals dynamic molecular and medical phenotypes.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE146114
Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of treatment failure independent of intratumor heterogeneity
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Emerging biomarkers based on medical images and molecular characterization of tumor biopsies open up for combining the two disciplines and exploiting their synergy in treatment planning. We compared pretreatment classification of cervical cancer patients by two previously validated imaging- and gene-based hypoxia biomarkers, evaluated the influence of intratumor heterogeneity, and investigated the benefit of combining them in prediction of treatment failure. The imaging-based biomarker was hypoxic fraction, determined from diagnostic dynamic contrast enhanced (DCE)-MR images. The gene-based biomarker was a hypoxia gene expression signature determined from tumor biopsies. Paired data were available for 118 patients. Intratumor heterogeneity was assessed by variance analysis of MR images and multiple biopsies from the same tumor. The two biomarkers were combined using a dimension-reduction procedure. The biomarkers classified 75% of the tumors with the same hypoxia status. Both intratumor heterogeneity and distribution pattern of hypoxia from imaging were unrelated to inconsistent classification by the two biomarkers, and the hypoxia status of the slice covering the biopsy region was representative of the whole tumor. Hypoxia by genes was independent on tumor cell fraction and showed minor heterogeneity across multiple biopsies in 9 tumors. This suggested that the two biomarkers could contain complementary biological information. Combination of the biomarkers into a composite score led to improved prediction of treatment failure (HR:7.3) compared to imaging (HR:3.8) and genes (HR:3.0) and prognostic impact in multivariate analysis with clinical variables. In conclusion, combining imaging- and gene-based biomarkers enables more precise and informative assessment of hypoxia-related treatment resistance in cervical cancer, independent of intratumor heterogeneity.

Publication Title

Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity.

Sample Metadata Fields

Specimen part

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accession-icon GSE20247
C-peptide and/or transforming growth factor beta 1 effect on human proximal tubular cell line
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Microarray analysis reveals up-regulation of retinoic acid and hepatocyte growth factor related signaling pathways by pro-insulin C-peptide in kidney proximal tubular cells: Antagonism of the pro-fibrotic effects of TGF-b1

Publication Title

Proinsulin C-peptide antagonizes the profibrotic effects of TGF-beta1 via up-regulation of retinoic acid and HGF-related signaling pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE38357
Differences in hepatic gene expression between lactating and non-lactating sows as assessed by genome-wide transcript profiling
  • organism-icon Sus scrofa
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Background: While the mechanisms underlying the lactation-induced adaptations of intermediary metabolism and immune response have been extensively studied in rodents and dairy cows, little is known in this regard in sows. Therefore, the present study aimed to explore the lactation-induced changes in hepatic gene expression in sows during lactation.

Publication Title

Genome-wide transcript profiling indicates induction of energy-generating pathways and an adaptive immune response in the liver of sows during lactation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE2180
C. elegans embryonic timecourse in wt and mutant embryos
  • organism-icon Caenorhabditis elegans
  • sample-icon 123 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

This series of samples comprises multiple early embryonic time courses for C. elegans. Time courses consisting of 10 time points each for 4 different genotypes are included: wild-type (strain N2 grown on E. coli strain OP50), pie-1(zu154) (progeny of homozygous mutant mothers [Unc] of strain JJ532 grown on E. coli strain OP50), pie-1(zu154);pal-1(RNAi) (progeny of homozygous mutant mothers [Unc] of strain JJ532 grown on E. coli strain HT115 expressing pal-1 hairpin RNA), and mex-3(zu155);skn-1(RNAi) (progeny of homozygous mutant mothers [Dpy] of strain JJ518 grown on E. coli strain HT115 expressing skn-1 hairpin RNA). Embryos were manually staged by morphology at the 4-cell stage and allowed to develop in water for defined amounts of time at 22 degrees C. RNA was amplified as described (Baugh et al. Development, 2003; Baugh et al. Nucleic Acids Research, 2001). This series of samples comprises all replicate data reported by Baugh et al. (Development, 2005).

Publication Title

The homeodomain protein PAL-1 specifies a lineage-specific regulatory network in the C. elegans embryo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE147384
MR Imaging Distinguishes Tumor Hypoxia Levels of Different Prognostic and Biological Significance in Cervical Cancer
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Tumor hypoxia levels range from mild to severe and have different biological and therapeutical consequences, but are not easily assessable in patients. We present a method based on diagnostic dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) that visualizes a continuous range of hypoxia levels in tumors of cervical cancer patients. Hypoxia images were generated using an established approach based on pixel-wise combination of the DCE-MRI parameters e and Ktrans, reflecting oxygen consumption and supply, respectively. An algorithm to retrieve hypoxia levels from the images was developed and validated in 28 xenograft tumors, by comparing the MRI-defined levels with hypoxia levels derived from pimonidazole stained histological sections. We further established an indicator of hypoxia levels in patient tumors based on expression of nine hypoxia responsive genes. A strong correlation was found between these indicator values and the MRI-defined hypoxia levels in 63 patients. Chemoradiotherapy outcome of 74 patients was most strongly predicted by moderate hypoxia levels, whereas more severe or milder levels were less predictive. By combining gene expression profiles and MRI-defined hypoxia levels in cancer hallmark analysis, we identified a distribution of levels associated with each hallmark; oxidative phosphorylation and G2/M checkpoint were associated with moderate hypoxia, and epithelial-to-mesenchymal transition and inflammatory responses with significantly more severe levels. At the mildest levels, interferon response hallmarks, together with stabilization of HIF1A protein by immunohistochemistry, appearred significant. Thus, our method visualizes the distribution of hypoxia levels within patient tumors and has potential to distinguish levels of different prognostic and biological significance.

Publication Title

MRI Distinguishes Tumor Hypoxia Levels of Different Prognostic and Biological Significance in Cervical Cancer.

Sample Metadata Fields

Cell line, Treatment

View Samples
...

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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Developed by the Childhood Cancer Data Lab

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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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