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accession-icon SRP109805
A map of human circular RNAs in clinically-relevant tissues
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cellular circular RNAs (circRNAs) are generated by head-to-tail splicing and are present in all multicellular organisms studied so far. Recently, circRNAs have emerged as large class of RNA which can function as post-transcriptional regulators. It has also been shown that many circRNAs are tissue- and stage specifically expressed. Moreover, the unusual stability and expression specificity make circRNAs important candidates for clinical biomarker research. Here, we present a circRNA expression resource of twenty human tissues highly relevant to disease-related research: vascular smooth muscle cells (VSMCs), human umbilical vein (HUVECs), artery endothelial cells (HUAECs), atrium, vena cava, neutrophils, platelets, cerebral cortex, placenta, and samples from mesenchymal stem cell differentiation. In eight different samples from a single donor, we found highly tissue-specific circRNA expression. Circular-to-linear RNA ratios revealed that many circRNAs were higher expressed than their linear host transcripts. Among the 65 validated circRNAs, we noticed potential biomarkers. In adenosine deaminase-deficient, severe combined immunodeficiency (ADA-SCID) patients and in Wiskott-Aldrich-Syndrome (WAS) patients' samples, we found evidence for differential circRNA expression of genes that are involved in the molecular pathogenesis of both phenotypes. Our findings underscore the need to assess circRNAs in mechanisms of human disease. Overall design: To explore circRNA expression patterns in human tissues, we performed rRNA-depleted RNA sequencing and circRNA detection in twenty clinically relevant samples.

Publication Title

A map of human circular RNAs in clinically relevant tissues.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE17354
Gene expression profiling of CD4+ and CD8+ T-cells from gene therapy treated ADA patients and from healthy controls
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene transfer into HSCs by gammaretroviral vectors (RV) is an effective treatment for inherited blood disorders, although potentially limited by the risk of insertional mutagenesis. We evaluated the genomic impact of RV integration in T-lymphocytes from adenosine deaminase (ADA)-Severe combined immunodeficiency (SCID) patients 10 to 30 months after infusion of autologous, genetically-corrected CD34+ cells. Expression profiling on ex vivo T-cell bulk population revealed no difference with respect to healthy controls. To assess the effect of vector integration on gene expression at the single cell level, primary T-cell clones were isolated from two patients. T-cell clones harboured either one or two vector copies per cell and displayed partial to full correction of ADA expression, purine metabolism and TCR-driven functions. Analysis of retroviral integration sites (RIS) indicated a high diversity in T-cell origin, consistent with the polyclonal TCR-Vbeta repertoire. Quantitative transcript analysis of 120 genes within a 200kb-window around RIS showed modest (2.8- to 5.2-fold) disregulation of 5.8% genes in 18.6% of the T-cell clones compared to controls. Nonetheless, affected clones maintained a stable phenotype and normal functions in vitro. These results confirm that RV-mediated gene transfer for ADA-SCID is safe, and provide crucial information for the development of future gene therapy protocols.

Publication Title

Integration of retroviral vectors induces minor changes in the transcriptional activity of T cells from ADA-SCID patients treated with gene therapy.

Sample Metadata Fields

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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