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accession-icon SRP081333
Mus musculus Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Transcriptional fingerprint of hypomyelination in Zfp191null and Shiverer (Mbpshi) mice

Publication Title

Transcriptional Fingerprint of Hypomyelination in Zfp191null and Shiverer (Mbpshi) Mice.

Sample Metadata Fields

Sex, Specimen part, Cell line

View Samples
accession-icon SRP159842
RNA sequencing of Asthmatic Human Airway Smooth Muscle Cells I
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal of the was to evaluate the mRNA expression profile of non-asthmatic and asthmatic airway smooth muscle. Overall design: RNA Seq was performed on nonasthmatic (n=5 individuals) and asthmatic (n=5 individuals) human airway smooth muscle cells.

Publication Title

Arhgef12 drives IL17A-induced airway contractility and airway hyperresponsiveness in mice.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP046995
High throughput quantitative whole transcriptome analysis of CC10- B4+ and Krt5-CreERT2 - labeled distal lung cells
  • organism-icon Mus musculus
  • sample-icon 88 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We used microfluidic single cell RNA-seq on adult isolated CC10-CreERT2 (negative) integrin beta4(pos) cells lung epithelial cells in order to determine the transcriptional profile of this putative progenitor population. Overall design: CC10-CreERT2 / tdTomato (negative) integrin beta4(pos) cells were isolated by FACS, as were Krt5-CreERT2 / tdTomato (positive) cells. These cells were pooled and loaded onto the Fluidigm C1 device.

Publication Title

Lineage-negative progenitors mobilize to regenerate lung epithelium after major injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20874
Novel biomarkers for high grade T-cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mature NK and T-cell lymphomas are occasionally encountered in Asia but are very rare in Western populations. In part due to its rarity, little is known about this group of neoplasms, and despite being rather different disease entities, they are all treated similarly but with diverse clinical outcomes. Novel biomarkers (at both the genetic and protein levels) are needed to resolve diagnostic difficulties, improve prognostication and develop targeted therapies. To rectify this deficiency, we interrogated the transcriptome of several NK and mature T-cell lymphomas by whole-genome expression profiling for new markers that may further stratify this diverse group of conditions. Our initial efforts have identified a promising candidate marker that appears to differentiate NKTL lymphoma from other forms of T-cell neoplasms, and this finding has been validated by immunohistochemistry on archival material in a large number of patient cases.

Publication Title

Nuclear expression of MATK is a novel marker of type II enteropathy-associated T-cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP011378
DNMT3B7, an aberrant DNMT3B isoform, suppresses growth, induces differentiation, and alters DNA methylation in human neuroblastoma
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

In adult cancers, epigenetic changes and aberrant splicing of the DNMT3B is commonly observed, and the pattern of gene methylation and expression has been shown to be modified by DNMT3B7, a truncated protein of DNMT3B. Much less is known about the mechanism of epigenetic changes in the pediatric cancer neuroblastoma. To investigate if aberrant DNMT3B transcripts alter DNA methylation, gene expression and tumor phenotype in neuroblastoma, we measured DNMT3B isoform expression in primary tumors and cell lines. Higher levels of DNMT3B7 were detected in differentiated ganglioneuroblastomas compared to undifferentiated neuroblastomas, suggesting that expression of DNMT3B7 may induce a less clinically aggressive tumor phenotype. To test this hypothesis, we investigated the effects of forced DNMT3B7 in neuroblastoma cells. We found that DNMT3B7 expression significantly inhibited neuroblastoma cell proliferation in vitro, and in neuroblastoma xenografts, DNMT3B7 decreased angiogenesis and tumor growth. DNMT3B7-positive cells had higher levels of total genomic methylation, and RNA-sequencing revealed a dramatic decrease in expression of FOS and JUN family members, AP1 complex components. Consistent with the established antagonistic relationship between AP1 expression and retinoic acid receptor activity, decreased proliferation and increased differentiation was seen in the DNMT3B7-expressing neuroblastoma cells following treatment with all trans retinoic acid (ATRA) compared to controls. Our results demonstrate that high levels of DNMT3B7 modify the epigenome in neuroblastoma cells, induce changes in gene expression, inhibit tumor growth, and increase sensitivity to ATRA. Further knowledge regarding mechanisms by which DNMT3B7 regulates gene methylation may ultimately lead to the development of therapeutic strategies that reverse the epigenetic aberrations that drive neuroblastoma pathogenesis. Overall design: DNMT3B7, a truncated DNMT3B isoform, was stably transfected into an N-type neuroblastoma cell line (LA1-55n) using a Tet-off inducible system. DNMT3B7 expressing cells were compared to vector control cells after 21 days of induction.

Publication Title

Truncated DNMT3B isoform DNMT3B7 suppresses growth, induces differentiation, and alters DNA methylation in human neuroblastoma.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP015138
Hydroxymethylation at gene regulatory regions directs stem cell commitment during erythropoiesis
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

CD34 positive hematopoietic stem cells were differentiated into erythroid lineage. Next generation sequencing (NGS) of 5hmC affinity pulldown and RNAseq were performed in four time point of different stages of erythroid differentiation. Overall design: 4 RNA-Seq Samples (d0, d3, d7 and d10); 4 affinity-pulldown (d0, d3, d7 and d10), and 4 input samples (d0, d3, d7 and d10).

Publication Title

Hydroxymethylation at gene regulatory regions directs stem/early progenitor cell commitment during erythropoiesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE70854
Microarray analysis reveals differential effects of conjugated linoleic acid isomers in ritonavir-treated 3T3-L1 adipocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Objective: To quantify changes in adipogenic gene expression in the presence of ritonavir (RTV) or tenofovir (TDF), and determine whether conjugated linoleic acid (CLA) isomers (cis9,trans11 or trans10,cis12) can mitigate detrimental effects of antiretoviral drugs.

Publication Title

Microarray Analysis Reveals Altered Lipid and Glucose Metabolism Genes in Differentiated, Ritonavir-Treated 3T3-L1 Adipocytes.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE33803
Environmental and simulation facility conditions can modulate gravity response of Drosophila transcriptome
  • organism-icon Drosophila melanogaster
  • sample-icon 140 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Suboptimal evolutionary novel environments promote singular altered gravity responses of transcriptome during Drosophila metamorphosis.

Sample Metadata Fields

Sex, Age

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accession-icon GSE33779
Environmental and facility conditions promote singular gravity responses of transcriptome during Drosophila metamorphosis
  • organism-icon Drosophila melanogaster
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Genome-wide transcriptional profiling showed that reducing gravity levels in the International Space Station (ISS) causes important alterations in Drosophila gene expression intimately linked to imposed spaceflight-related environmental constrains during Drosophila metamorphosis. However, simulation experiments on ground testing space-related environmental constraints, show differential responses. Curiously, although particular genes are not common in the different experiments, the same GO groups including a large multigene family related with behavior, stress response and organogenesis are over represented in them. A global and integrative analysis using the gene expression dynamics inspector (GEDI) self-organizing maps, reveals different degrees in the responses of the transcriptome when using different environmental conditions or microgravity/hypergravity simulation devices

Publication Title

Suboptimal evolutionary novel environments promote singular altered gravity responses of transcriptome during Drosophila metamorphosis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP130950
Cell of origin dictates aggression and stem cell activity in acute lymphoblastic leukemia
  • organism-icon Danio rerio
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Subclassification of lymphoid neoplasms is often based on the presumed cell of origin based on T and B progenitor gene expression and the effect of cell lineage on influencing functional characteristics such as aggression and self-renewal capacity is largely unknown, accounted for in part, by lack of experimental models to address these questions. Here, we have used transgenic zebrafish to create the first models of Myc-induced B-ALL and mixed phenotypic B/T-ALL, opening new avenues for studying the these leukemias in the zebrafish. Our work has utilized syngeneic strain zebrafish, limiting dilution cell transplantation, and the widely reported rag2-Myc transgenic model to provide new understanding of how strain differences can underlie leukemia onset in the zebrafish model. Even more importantly, our work now for the first time, has allowed assessment of cell lineage on dictating aggression and leukemia stem cell frequency independent of the underlying oncogenic driver. In total, our work uncoveres that T-ALLs are more aggressive and have higher numbers of leukemia stem cells when compared with B-ALL and mixed phenotypic ALL. Furthermore, analysis of our biphenotypic B/T-ALL suggests that B cell pathways lock cells in less aggressive and lower stem cell fates and are dominant in regulating these processes when T cell pathways are co-regulated within ALL cells. Overall design: The goal of our study is to determine the transcriptional profiles of high and low self-renewing capacity tumors. 20 samples total: 11 unique samples (9 samples with biological replicates), 6 high self-renewing tumors (>1% cells could initiate leukemia) and 5 low self-renewing tumors (<1% of cells could initiate leukemia).

Publication Title

Cell of origin dictates aggression and stem cell number in acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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