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accession-icon SRP191866
Gene-Centric Functional Dissection of Human Genetic Variation Uncovers Regulators of Hematopoiesis
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Follow-up work was performed for SF3A2, a gene among the hits identified in a red blood cell trait GWAS-informed shRNA screen. Differential splicing effects were assayed to investigate resulting effects on the differentiating erythroid cell spliceome and explore potential modifier relationships with other known splicing defects associated with human disease. Overall design: Examination of differential splicing events resulting from knockdown of splicing factor 3a subunit 2 (SF3A2) in three unique donor CD34+ cells populations undergoing erythroid differentiation. Two shRNA targeting SF3A2 were tested, along with a negative control shRNA targeting luciferase (which should not be expressed) using paired-end sequencing.

Publication Title

Gene-centric functional dissection of human genetic variation uncovers regulators of hematopoiesis.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP050146
RNA sequencing of bone marrow CD34+ cells from myelodysplastic syndrome patients with and without SF3B1 mutation and from healthy controls
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The splicing factor SF3B1 is the most commonly mutated gene in the myelodysplastic syndromes (MDS), particularly in patients with refractory anemia with ring sideroblasts (RARS). MDS is a disorder of the hematopoietic stem cell and we thus studied the transcriptome of CD34+ cells from MDS patients with SF3B1 mutations using RNA-sequencing. Genes significantly differentially expressed at the transcript and/or exon level in SF3B1 mutant compared to wildtype cases include genes involved in MDS pathogenesis (ASXL1, CBL), iron homeostasis and mitochondrial metabolism (ALAS2, ABCB7, SLC25A37) and RNA splicing/processing (PRPF8, HNRNPD). Many genes regulated by a DNA damage-induced BRCA1-BCLAF1-SF3B1 protein complex showed differential expression/splicing in SF3B1 mutant cases. Our data indicate that SF3B1 plays a critical role in MDS by affecting the expression and splicing of genes involved in specific cellular processes/pathways, many of which are relevant to the known RARS pathophysiology, suggesting a causal link. Overall design: RNA-Seq was performed to compare the transcriptome of bone marrow CD34+ cells from eight MDS patients with SF3B1 mutation, four MDS patients with no known splicing mutation and five healthy controls.

Publication Title

Disruption of SF3B1 results in deregulated expression and splicing of key genes and pathways in myelodysplastic syndrome hematopoietic stem and progenitor cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE80602
AML1-ETO induces leukemia via C/D box snoRNA/RNPs.
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

AML1-ETO requires enhanced C/D box snoRNA/RNP formation to induce self-renewal and leukaemia.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE80579
Expression data from AML1-ETO9a mouse primary leukemia blast
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Microarray gene profilling indentified snoRNAs are downstream target of Amino Enhancer of Split (AES) and are essential for AML1-ETO9a induced leukemia.

Publication Title

AML1-ETO requires enhanced C/D box snoRNA/RNP formation to induce self-renewal and leukaemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP076871
Transcriptome profiling of self-renewing hESCs and multipotent mesoderm progenitor cells as a function of substrate stiffness
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed RNA-sequencing on human embryonic stem cell samples grown on soft (400Pa) and stiff (60kPa) hydrogels under self-renewal and differentiation conditions Overall design: Whole-transcriptome RNA sequencing in the conditions described

Publication Title

Tissue Mechanics Orchestrate Wnt-Dependent Human Embryonic Stem Cell Differentiation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP042091
Genome-wide expression profiles in young and old mouse liver [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Aging is accompanied by physiological impairments, which, in insulin-responsive tissues, including the liver, predispose individuals to metabolic disease. However, the molecular mechanisms underlying these changes remain largely unknown. Here, we analyze genome-wide profiles of RNA and chromatin organization in the liver of young (3 months) and old (21 months) mice. Transcriptional changes suggest that de-repression of the nuclear receptors PPARa, PPAR?, and LXRa in aged mouse liver leads to activation of targets regulating lipid synthesis and storage, whereas age-dependent changes in nucleosome occupancy are associated with binding sites for both known regulators (forkhead factors and nuclear receptors) and for novel candidates associated with nuclear lamina (Hdac3 and Srf) implicated to govern metabolic function of aging liver. Winged-helix factor Foxa2 and nuclear receptor co-repressor Hdac3 exhibit reciprocal binding pattern at PPARa targets contributing to gene expression changes that lead to steatosis in aged liver. Overall design: Genome-wide expression profiles (RNA-Seq) from young (3 months) and old (21 months) mouse livers

Publication Title

Changes in nucleosome occupancy associated with metabolic alterations in aged mammalian liver.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064744
Expression profiling individual DrosDel flies heterozygous for deletions of chromosome 2L in a hybrid background
  • organism-icon Drosophila melanogaster
  • sample-icon 396 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to understand the effect of genetic background on the response to gene dose perturbation, we performed mRNA transcriptional profiling on 99 hemizygotic lines (Df/+) from the DrosDel project, which have hybrid genetic background of OregonR/w1118. Overall design: We performed RNA-Seq analysis of 417 single adult flies in duplicate or triplicate. Flies are from 73 different genotypes. Differential gene expression was analyzed separately for each sex, gene expression from each genotype was compared to normalized mean of gene expression remaining 72 genotypes.

Publication Title

Dosage-Dependent Expression Variation Suppressed on the <i>Drosophila</i> Male <i>X</i> Chromosome.

Sample Metadata Fields

Sex, Subject

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accession-icon SRP047246
Expression profiling pooled Drosophila melanogaster heterozygous for deletions on Chromosome 2L
  • organism-icon Drosophila melanogaster
  • sample-icon 343 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed mRNA transcriptional profiling on 99 hemizygotic lines (Df/+) from the DrosDel project covering 68% of chromosome 2L, in order to understand how changes in gene copy number affect overall transcriptome. Overall design: We performed RNA-Seq analysis on 396 pools of 15-25 adult flies each. Samples include males or females from 99 different genotypes in duplicate. Differential gene expression was analyzed separately for each sex, by comparing each genotype with the remaining 98.

Publication Title

Dosage-Dependent Expression Variation Suppressed on the <i>Drosophila</i> Male <i>X</i> Chromosome.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP045640
RNA-Seq of female, male, and sex-transformed Drosophila melanogaster heads from flies heterozygous for deletions on chromosome X and 3L
  • organism-icon Drosophila melanogaster
  • sample-icon 247 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

To measure the response to gene dose, we performed mRNA-Seq of fly heads with molecularly defined deletions constructed from DrosDel deficiency lines (Ryder et al. Genetics 2007, 177(1):615-29) on the Illumina HiSeq 2000 platform. Overall design: We performed single-end next-generation sequencing (RNA-Seq) on poly-A+ RNA extracted from adult female and male heads in biological triplicate. Besides wildtype females (XX) and males (XY) that were heterozygous for deletions, we also sequenced females that were transformed into males (XX males) by using mutations in the sex determination gene transformer-2 (tra2). The original lines with deletions, including 22 deletions on the chromosome X and 12 deletions on the chromosome 3L, were from the DrosDel project. The diploid controls without DrosDel deletions were derived from w1118 (the parental line of DrosDel stocks) or Oregon-R Strain. We sequenced a total of 249 samples.

Publication Title

Dosage-Dependent Expression Variation Suppressed on the <i>Drosophila</i> Male <i>X</i> Chromosome.

Sample Metadata Fields

Sex, Subject

View Samples
accession-icon GSE21382
Increased expression of Bcl11b in human transformed T cell lines leads to chemoresistance accompanied by G1 accumulation.
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ABSTRACT

Publication Title

Increased expression of bcl11b leads to chemoresistance accompanied by G1 accumulation.

Sample Metadata Fields

No sample metadata fields

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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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