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accession-icon SRP097877
An RNA-seq dataset for studies of gene expression variation in the MAGIC line resource of Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 199 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To understand the population genetics of structural variants (SVs), and their effects on phenotypes, we developed an approach to mapping SVs, particularly transpositions, segregating in a sequenced population, and which avoids calling SVs directly. The evidence for a potential SV at a locus is indicated by variation in the counts of short-reads that map anomalously to the locus. These SV traits are treated as quantitative traits and mapped genetically, analogously to a gene expression study. Association between an SV trait at one locus and genotypes at a distant locus indicate the origin and target of a transposition. Using ultra-low-coverage (0.3x) population sequence data from 488 recombinant inbred Arabidopsis genomes, we identified 6,502 segregating SVs. Remarkably, 25% of these were transpositions. Whilst many SVs cannot be delineated precisely, PCR validated 83% of 44 predicted transposition breakpoints. We show that specific SVs may be causative for quantitative trait loci for germination, fungal disease resistance and other phenotypes. Further we show that the phenotypic heritability attributable to sequence anomalies differs from, and in the case of time to germination and bolting, exceeds that due to standard genetic variation. Gene expression within SVs is also more likely to be silenced or dysregulated, as inferred from RNA-seq data collected from a subset of just over 200 of the MAGIC lines. This approach is generally applicable to large populations sequenced at low-coverage, and complements the prevalent strategy of SV discovery in fewer individuals sequenced at high coverage. Overall design: 209 samples consisting of different inbred lines from the Multiparent Advance Generation InterCross (MAGIC) population in the reference plant, Arabidopsis thaliana. For each sample, RNA was collected from the aerial shoot at the 4th true leaf stage, and Illumina mRNA-seq libraries were constructed (a single library was constructed with each line; that is, each MAGIC line is represented by one biological replicate). Using these libraries, which were non-stranded, paired-end 100 bp RNA-seq Illumina reads were generated for each sample, and used to quantify gene expresison in each MAGIC line. The resulting expression phenotypes are suitable for describing the impacts of genetic variation in the MAGIC line founders on the control of gene expression.

Publication Title

Genomic Rearrangements in <i>Arabidopsis</i> Considered as Quantitative Traits.

Sample Metadata Fields

Subject

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accession-icon GSE49081
MicroRNAs Implicated in Dysregulation of Gene Expression Following Human Lung Transplantation
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Lung transplantation remains the only viable treatment option for the majority of patients with advanced lung diseases. However, 5-year post-transplant survival rates remain low primarily secondary to chronic rejection. Novel insights from global gene expression profiles may provide molecular phenotypes and therapeutic targets to improve outcomes after lung transplantation. We compared whole-genome transcriptional expression profiled using the Affymetrix Human Exon Array in peripheral blood mononuclear cells (PBMCs) in lung transplant patients and normal individuals. 364 dysregulated genes in Caucasian lung transplant patients relative to normal individuals. Enriched Gene Ontology biological processes and pathways included defense response, immune response and response to wounding. We then compared the expression profiles of potential regulating miRNAs which suggested that dysregulation of a number of lung transplant-associated genes (e.g., ATR, FUT8, LRRC8B, NFKBIA) may be attributed to the differential expression of their regulating miRNAs. This exploratory analysis of the relationship between these miRNAs and their gene targets in the context of lung transplantation warrants further investigation and may serve as novel therapeutic targets in lung transplant complications.

Publication Title

MicroRNAs Implicated in Dysregulation of Gene Expression Following Human Lung Transplantation.

Sample Metadata Fields

Sex, Specimen part, Treatment, Race

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accession-icon GSE21327
Effect of Growth hormone on podocytes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of growth hormone dependant genes in glomerular podocytes

Publication Title

Growth hormone (GH)-dependent expression of a natural antisense transcript induces zinc finger E-box-binding homeobox 2 (ZEB2) in the glomerular podocyte: a novel action of gh with implications for the pathogenesis of diabetic nephropathy.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE1577
T-ALL and T-lymphoblastic lymphoma
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoblastic lymphoma (T-LL) and are often thought to represent a spectrum of a single disease. The malignant cells in T-ALL and T-LL are morphologically indistinguishable, and they share the expression of common cell surface antigens and cytogenetic characteristics. However, despite these similarities, differences in the predominant sites of disease in T-ALL and T-LL are observed. To determine if underlying biological distinctions may potentially contribute to some of these differences, we analyzed the global gene expression profiles of malignant T-cell precursors in ten T-ALL and nine T-LL using DNA arrays. Ten additional B-precursor ALL bone marrow samples, were used in a separate analysis.

Publication Title

Gene expression profiling reveals intrinsic differences between T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41816
Gene expression profiling of MDA231, BT549, and SUM159PT cells after selumetinib treatment or DUSP4 siRNA knockdown
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

MDA231, BT549, and SUM159PT basal-like breast cancer cell lines were transfected with non-targeting siRNA (siCONTROL), siRNA targeting DUSP4 (siDUSP4), or siCONTROL + 4 or 24 hr of 1uM selumetinib. Cells were harvested at 96 hr post-siRNA transfection. Data were Log2 RMA normalized.

Publication Title

Activation of MAPK pathways due to DUSP4 loss promotes cancer stem cell-like phenotypes in basal-like breast cancer.

Sample Metadata Fields

Cell line, Compound

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accession-icon GSE34775
Identification of genes characteristic of primary inguinal or epididymal preadipocyte fibroblasts
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Committed preadipocyte fibroblasts were genetically labelled in transgenic mice by expressing GFP under the control of the locus for Zfp423, a gene controlling preadipocyte determination. These mice are herein referred to as Zfp423-GFP mice. The overall goal was to identify genes differentially expressed between adipogenic GFP+ firboblasts and non-adipogenic GFP- fibroblasts from either inguinal or epididymal fat stromal vascular cultures obtained from Zfp423-GFP mice.

Publication Title

Zfp423 expression identifies committed preadipocytes and localizes to adipose endothelial and perivascular cells.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE3912
First bone marrow relapse with or without initial diagnosis
  • organism-icon Homo sapiens
  • sample-icon 113 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3910
35 patients at diagnosis and relapse
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

35 paired samples from initial diagnosis and first marrow relapse. Genes and pathways differentiating diagnosis and relapse were identified. Potential therapeutic targets were also identified.

Publication Title

Biologic pathways associated with relapse in childhood acute lymphoblastic leukemia: a Children's Oncology Group study.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28462
Integrated Genomic Analysis of Relapsed Childhood Acute Lymphoblastic Leukemia reveals therapeutic strategies
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE28460
Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There is a distinct signature of differentially expressed probes from diagnosis to relapse

Publication Title

Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies.

Sample Metadata Fields

Specimen part, Disease

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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)

fund-icon Fund the CCDL

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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