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accession-icon SRP014009
DGCR8 HITS-CLIP reveals novel functions for the Microprocessor (CLIP-seq)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

The Drosha-DGCR8 complex (Microprocessor) is required for microRNA (miRNA) biogenesis. DGCR8 contains two double-stranded RNA binding motifs that recognize the RNA substrate, whereas Drosha functions as the endonuclease. We have used high-throughput sequencing of RNAs isolated by crosslinking immunoprecipitation (HITS-CLIP) to identify endogenous RNA targets of DGCR8 in mammalian cells. Unexpectedly, miRNAs were not the most abundant targets. DGCR8-bound RNAs comprised several hundred mRNAs as well as snoRNAs and long non-coding RNAs. We found that DGCR8 together with Drosha controls the abundance of several mRNAs, as well as long non-coding RNAs, such as MALAT-1. By contrast, the DGCR8-mediated cleavage of snoRNAs is independent of Drosha, suggesting the involvement of DGCR8 in cellular complexes with other endonucleases. Interestingly, binding of DGCR8 to cassette exons, acts as a novel mechanism to regulate the relative abundance of alternatively spliced isoforms. Collectively, these data provide new insights in the complex role of DGCR8 in controlling the fate of several classes of RNAs. Overall design: Comparison of RNAs associated to both endogenous (D8) and overexpressed (T7) DGCR8 in HEK293T cells

Publication Title

Drosha regulates gene expression independently of RNA cleavage function.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP091546
Gene expression changes in human melanoma cell lines compared to primary melanocytes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Gene expression changes in 3 human melanoma cell lines were compared to freshly isolated normal primary melanocytes Overall design: Three biological replicates for each melanoma cell line and primary melanocytes were labeled and run Illumina HiSeq2500. The transcriptome of melanocytes was compared to cell line SK-Mel-28, SK-Mel-147 or UACC-62.

Publication Title

Systems analysis identifies melanoma-enriched pro-oncogenic networks controlled by the RNA binding protein CELF1.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE137634
Lymphocyte DNA methylation mediates genetic risk at shared immune mediated disease loci
  • organism-icon Homo sapiens
  • sample-icon 209 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE142049
Transcriptional data of inflamatory arthritis B cells
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

With a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources.

Publication Title

Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE141934
Transcriptional data of inflamatory arthritis T cells.
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

With a focus on rheumatoid arthritis (RA), we sought new insight into genetic mechanisms of adaptive immune dysregulation to help prioritise molecular pathways for targeting in this and related immune pathologies. Whole genome methylation and transcriptional data from isolated CD4+ T cells and B cells of >100 genotyped and phenotyped inflammatory arthritis patients, all of whom were naïve to immunomodulatory treatments, were obtained. Analysis integrated these comprehensive data with GWAS findings across IMDs and other publically available resources.

Publication Title

Lymphocyte DNA methylation mediates genetic risk at shared immune-mediated disease loci.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE100648
Early arthritis B cell gene expression profiling
  • organism-icon Homo sapiens
  • sample-icon 242 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

242 patients recruited from an early arthritis clinic donated RNA and DNA from freshly isolated and purified peripheral blood CD19+ B cells. Global gene expression measurement was carried out using Illumina BeadChip HT12v4 microarrays. Objectives included the identification of B cell transcripts differentially expressed between disease phenotypes, where all patients were naive to immunomodulatory therapy. In addition an eQTL analysis was carried out with reference to known genotype data for this cohort of patients

Publication Title

CD4+ and B Lymphocyte Expression Quantitative Traits at Rheumatoid Arthritis Risk Loci in Patients With Untreated Early Arthritis: Implications for Causal Gene Identification.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE136287
Transcriptomic characterisation of ALDH+ cells in therapy resistant breast cancer patient samples
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This study is part of a larger multidisciplinary study entitled A dormant sub-population expressing interleukin-1 receptor characterises anti-estrogen resistant ALDH+ breast cancer stem cells.

Publication Title

Increased Expression of Interleukin-1 Receptor Characterizes Anti-estrogen-Resistant ALDH<sup>+</sup> Breast Cancer Stem Cells.

Sample Metadata Fields

Specimen part, Disease, Subject

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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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