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accession-icon SRP149798
Genome wide analysis of upper spinal cords with training after spinal cord hemisection injury
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

The goal of this study is to elucidate the influence of treadmill training on transcriptome of the upper lumbar spinal cord after thoracic spinal cord hemisection. mRNA profiles of spinal cords at 23 days-post injury with/without treadmill training were generated. The expression levels of 650 genes in the trained animal were increased ( > 2-fold) compared to untrained animals. Our study represents the detailed analysis of transcriptomes of spinal cord distal to the hemisected lesion after treadmill training, with biologic replicates, generated by RNA-seq technology. Overall design: The effect of training after spinal cord injury (T9) on the transcriptome of intact upper spinal cord was investigated.

Publication Title

Locomotor Training Increases Synaptic Structure With High NGL-2 Expression After Spinal Cord Hemisection.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE113815
PD-1 through asparaginyl endopeptidase regulates FoxP3 Stability in Induced Regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

CD4+ T cell differentiation into multiple T helper lineages is critical for optimal adaptive immune responses. This report identified a novel intrinsic mechanism by which PD-1 signaling imparted regulatory phenotype to FoxP3+ Th1 cells (denoted as Tbet+iTregPDL1 cells) and iTregs. Tbet+iTregPDL1 cells were capable of preventing inflammation in murine models of experimental colitis and experimental graft versus host disease. PDL-1 binding to PD-1 imparted regulatory function to Tbet+iTregPDL1 cells and iTregs by specifically downregulating an endolysosomal protease asparaginyl endopeptidase (AEP)

Publication Title

PD-1 Inhibitory Receptor Downregulates Asparaginyl Endopeptidase and Maintains Foxp3 Transcription Factor Stability in Induced Regulatory T Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE15236
Expression profiling of the Arabidopsis Mediator complex mutant pft1/med25 and wildtype infected with Fusarium oxysporum
  • organism-icon Arabidopsis thaliana
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The Mediator complex is an evolutionary conserved multiprotein complex that plays an essential role in initiating and regulating transcription. Its function is to act as a universal adaptor between RNA Polymerase II and DNA-bound transcription factors to translate regulatory information from activators and repressors to the transcriptional machinery. We have found that the PFT1 gene (which encodes the MED25 subunit of the Mediator complex) is required for the uncompromised expression of both salicylic acid- and jasmonate-dependent defense genes as well as resistance to the leaf-infecting fungal pathogens, Alternaria brassicicola and Botrytis cinerea in Arabidopsis. Surprisingly, we found that the pft1/med25 mutant showed increased resistance to the root infecting pathogen Fusarium oxysporum and that this resistance was independent of classical defense genes. In addition, the over-expression of PFT1 led to increased susceptibility to F. oxysporum. Therefore, to explore this phenomenon further, we wished to use whole genome transcript profiling to identify which genes may be playing a role in pft1/med25-mediated resistance to F. oxysporum.

Publication Title

The mediator complex subunit PFT1 is a key regulator of jasmonate-dependent defense in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE15477
Data integration from two microarray platforms identifies genetic inactivation of RIC8A in a breast cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using array comparative genomic hybridization (aCGH), a large number of deleted genomic regions have been identified in human cancers. However, subsequent efforts to identify target genes selected for inactivation in these regions have often been challenging. We integrated here genome-wide copy number data with gene expression data and non-sense mediated mRNA decay rates in breast cancer cell lines to prioritize gene candidates that are likely to be tumour suppressor genes inactivated by bi-allelic genetic events. The candidates were sequenced to identify potential mutations. This integrated genomic approach led to the identification of RIC8A at 11p15 as a putative candidate target gene for the genomic deletion in the ZR-75-1 breast cancer cell line. We identified a truncating mutation in this cell line, leading to loss of expression and rapid decay of the transcript. We screened 127 breast cancers for RIC8A mutations, but did not find any pathogenic mutations. No promoter hypermethylation in these tumours was detected either. However, analysis of gene expression data from breast tumours identified a small group of aggressive tumours that displayed low levels of RIC8A transcripts. Real-time PCR analysis of 38 breast tumours showed a strong association between low RIC8A expression and the presence of TP53 mutations (P=0.006). We demonstrate a data integration strategy leading to the identification of RIC8A as a gene undergoing a classical double-hit genetic inactivation in a breast cancer cell line, as well as in vivo evidence of loss of RIC8A expression in a subgroup of aggressive TP53 mutant breast cancers.

Publication Title

Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line.

Sample Metadata Fields

Sex, Disease, Cell line, Treatment, Time

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accession-icon SRP162356
Global Long Terminal Repeat activation participates in establishing the unique gene expression program of classical Hodgkin Lymphoma [Primary RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Long terminal repeat (LTR) elements are wide-spread in the human genome and have the potential to act as promoters and enhancers. Their expression is therefore under tight epigenetic control. We previously reported that a member of the THE1B class of LTR elements in classical Hodgkin Lymphoma (cHL) acted as a promoter for the growth factor receptor gene CSF1R and that expression of this gene is required for tumor survival. However, to which extent and how such elements participate in globally shaping the unique cHL gene expression program is unknown. To address this question we mapped the genome-wide activation of THE1-LTRs in cHL cells using a targeted next generation sequencing approach (RACE-Seq). Integration of these data with global gene expression data from cHL and control B cell lines showed a unique pattern of LTR activation impacting on gene expression, including genes associated with the cHL phenotype. We also show that global LTR activation is induced by strong inflammatory stimuli. Together these results demonstrate that LTR activation provides an additional layer of gene deregulation in classical Hodgkin lymphoma and highlight the potential impact of genome-wide LTR activation in other inflammatory diseases. Overall design: RNA-Seq in laser capture microdissected (LCM) tumour (TU) and non tumour cells (NTC) primary HL material from patient samples

Publication Title

Global long terminal repeat activation participates in establishing the unique gene expression programme of classical Hodgkin lymphoma.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP047054
Transcriptome profiling of Drosophila intestinal cells
  • organism-icon Drosophila melanogaster
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

Purpose: We isolated Drosophila midgut cells : Delta+ intestinal stem cells (ISCs), Su(H)+enteroblasts (EBs), Esg+ cells (ISC+EB), Myo1A+Enterocytes (ECs), Pros+Enteroendocrine cells (EEs) and How+Visceral muscle cells (VM) from whole midguts to identify stem cell specific genes and study cell type specificities of midgut cells. We also isolated all the cell types from the 5 major regions (R1-R5) of the Drosophila midgut to study differences in cells in different regions. Methods: 3-7 day old female flies were dissected. Flies with GFP/YFP marking different cell types (using the GAL4-UAS system) were used to separate cells of the midgut.The midguts were dissociated with Elastase and FACS sorted using FACS AriaIII. RNA was extracted, amplified and sequenced. Whole midgut samples were sequenced on Illumina GAIIX and regional cell populations were sequenced on HiSeq2000. Methods:Raw fastqc reads were mapped to the Drosophila genome (Drosophila_melanogaster.BDGP5.70.dna.toplevel.fa) using Tophat 2.0.9 at default (using boost_1_54_0, bowtie2-2.1.0, samtools-0.1.19). Methods: For differential expression analysis, DESeq (p-value adjustment 0.05 by method Benjamini-Hochberg) was used. The reads were normalized also to Reads per kilobase of transcript per million mapped reads (RPKM). Results: More than 50% of the genome is expressed in the adult midgut (FlyAtlas- Chintapalli et al., 2007), of these genes about 50% (2457) were differentially expressed (DE) between all 4 cell types (ISCs, EBs, ECs and EEs) atleast 2 folds with 95% confidence Results: 159 genes that were specifically enriched in ISCs, 509 genes were specifically repressed in ISCs Conclusions: Our study represents the first detailed analysis of Drosophila intestinal cell transcriptomes, with biologic replicates, generated by RNA-seq technology.Our data facilitates comparative investigations of expression profiles of cells and reveals novel stem cell genes. Further region specific profiling adds precision to the analysis of variances in the midgut regions. We identify transcriptional regulators and regional transcription factors which modulate the midgut physiology. The dataset will be a great resource for hypothesis generation, tool building and fine tuned studies on the Drosophila midgut. Overall design: mRNA profiles of Drosophila intestinal cells from whole midguts and midgut regions were generated by Deep Sequencing. Whole midgut profiles were generated in triplicates (Illumina GAIIx, 72 bp read length) and regional cell type profiles were genrated in duplicates (HiSeq 2000, 50bp read length).

Publication Title

Regional Cell-Specific Transcriptome Mapping Reveals Regulatory Complexity in the Adult Drosophila Midgut.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE18144
Array-based gene expression, CGH and tissue data define a 12q24 gain in neuroblastic tumors with prognostic implication
  • organism-icon Homo sapiens
  • sample-icon 3 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

Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication.

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon GSE18139
Array-based gene expression in neuroblastic tumors
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Title: Array-based gene expression, CGH and tissue data define a 12q24 gain in neuroblastic tumors with prognostic implication.

Publication Title

Array-based gene expression, CGH and tissue data defines a 12q24 gain in neuroblastic tumors with prognostic implication.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE20085
Expression data from parental MDA-MB-231 cells and MDA-MB-231(SA) variant
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Since bone metastatic breast cancer is an incurable disease, causing significant morbidity and mortality, understanding of the underlying molecular mechanisms would be highly valuable. Here, we describe in vitro and in vivo evidence for the importance of serine biosynthesis in the metastasis of breast cancer to bone. We first characterized the bone metastatic propensity of the MDA-MB-231(SA) cell line variant as compared to the parental MDA-MB-231 cells by radiographic and histological observations in the inoculated mice. Genome-wide gene expression profiling of this isogenic cell line pair revealed that all the three genes involved in the L-serine biosynthesis pathway, phosphoglycerate dehydrogenase (PHGDH), phosphoserine aminotransferase 1 (PSAT1), and phosphoserine phosphatase (PSPH) were upregulated in the highly metastatic variant. This pathway is the primary endogenous source for L-serine in mammalian tissues. Consistently, we observed that the proliferation of MDA-MB-231(SA) cells in serine-free conditions was dependent on PSAT1 expression. In addition, we observed that L-serine is essential for the formation of bone resorbing human osteoclasts and may thus contribute to the vicious cycle of osteolytic bone metastasis. High expression of PHGDH and PSAT1 in primary breast cancer was significantly associated with decreased relapse-free and overall survival of patients and malignant phenotypic features of breast cancer. In conclusion, high expression of serine biosynthesis genes in metastatic breast cancer cells and the stimulating effect of L-serine on osteoclastogenesis and cancer cell proliferation indicate a functionally critical role for serine biosynthesis in bone metastatic breast cancer and thereby an opportunity for targeted therapeutic interventions.

Publication Title

Enhanced serine production by bone metastatic breast cancer cells stimulates osteoclastogenesis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE37396
The histone methyltransferase MLL3 regulates genome-scale circadian transcription
  • organism-icon Mus musculus
  • sample-icon 24 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

Histone methyltransferase MLL3 contributes to genome-scale circadian transcription.

Sample Metadata Fields

Specimen part, Time

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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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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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