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accession-icon SRP055176
m6A level and isoform characterization sequencing (m6A-LAIC-seq) reveal the census and complexity of the m6A epitranscriptome
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

N6-methyladenosine (m6A) is a widespread reversible chemical modification of RNAs, implicated in many aspects of RNA metabolism. Little quantitative information exists as to either how many transcript copies of particular genes are m6A modified (“m6A levels”), or the relationship of m6A modification(s) to alternative RNA isoforms. To deconvolute the m6A epitranscriptome, we developed m6A level and isoform-characterization sequencing (m6A-LAIC-seq). We found that cells exhibit a broad range of non-stoichiometric m6A levels with cell type specificity. At the level of isoform characterization, we discovered widespread differences in use of tandem alternative polyadenylation (APA) sites by methylated and nonmethylated transcript isoforms of individual genes. Strikingly, there is a strong bias for methylated transcripts to be coupled with proximal APA sites, resulting in shortened 3’ untranslated regions (3’-UTRs), while nonmethylated transcript isoforms tend to use distal APA sites. m6A-LAIC-seq yields a new perspective on transcriptome complexity and links APA usage to m6A modifications. Overall design: m6A-LAIC-seq of H1-ESC and GM12878 cell lines, each cell line has two replicates

Publication Title

m(6)A-LAIC-seq reveals the census and complexity of the m(6)A epitranscriptome.

Sample Metadata Fields

No sample metadata fields

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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 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 GSE38961
Gene expression of LDS-OECs
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Loeys-Dietz syndrome (LDS) is an inherited connective tissue disorder caused by mutations in the transforming growth factor (TGF-) receptors TGFBR1 or TGFBR2. Most patients with LDS develop severe aortic aneurysms resulting in early need of surgical intervention. We investigated circulating outgrowth endothelial cells (OEC) from the peripheral blood of LDS to gain further insight into the pathophysiology of the disorder. We performed gene expression profiling using microarray analysis followed by quantitative PCR for verification of gene expression. OECs isolated from age- and sex-matched healthy donors served as reference control.

Publication Title

Overexpression of Gremlin-1 in patients with Loeys-Dietz syndrome: implications on pathophysiology and early disease detection.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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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 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 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

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accession-icon GSE58485
Expression data from mus musculus subjected to traumatic brain injury (TBI)
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Interacting chemokine signals regulate dendritic cells in acute brain injury.

Sample Metadata Fields

Sex, 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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