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accession-icon GSE34209
Transcriptome analysis of genes regulated by overexpression of LATERAL ORGAN BOUNDARIES (LOB) in Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The Arabidopsis thaliana transcription factor LATERAL ORGAN BOUNDARIES (LOB) is expressed in the boundary between the shoot apical meristem and initiating lateral organs. To identify genes regulated by LOB activity, we used an inducible 35S:LOB-GR line. This analysis identified genes that are differentially expressed in response to ectopic LOB activity.

Publication Title

Arabidopsis lateral organ boundaries negatively regulates brassinosteroid accumulation to limit growth in organ boundaries.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon SRP068706
RNA-sequencing of single whole cells and nuclei from mouse dentate granule cells
  • organism-icon Mus musculus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully re-capitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc, and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes . In addition, we observe a continuum of activation states, revealing a pseudo-temporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs,allowing for novel insights into neuronal activation patterns in vivo. Overall design: Examination of 1) 82 whole-cell (WC) dentate granule cells from a PTZ- or saline-treated mouse, and 2) 23 single-nuclei (SN) from dentate granule cells of a homecage (HC) mouse or 96 nuclei from a mouse exposed to a novel environment (NE)

Publication Title

Nuclear RNA-seq of single neurons reveals molecular signatures of activation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE30922
Chemokines regulate small leucine-rich proteoglycans in the extracellular matrix of the pressure-overloaded right ventricle
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Chemokines have been suggested to play a role during development of left ventricular failure, but little is known about their role during right ventricular (RV) remodeling and dysfunction. The first aim of this study was to identify chemokines which are regulated during RV pressure overload. We then hypothesized that these chemokines regulate SLRPs (small leucine-rich proteoglycans)

Publication Title

Chemokines regulate small leucine-rich proteoglycans in the extracellular matrix of the pressure-overloaded right ventricle.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE22295
Lack of chemokine signaling through CXCR5 causes mortality, ventricular dilatation and deranged matrix during pressure overload
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Inflammatory mechanisms have been suggested to play a role in the development of heart failure (HF), but a role for chemokines is largely unknown. The aim of this study was to analyze the role of the chemokine CXCL13 and its receptor CXCR5 in cardiac pathophysiology leading to HF

Publication Title

Lack of chemokine signaling through CXCR5 causes increased mortality, ventricular dilatation and deranged matrix during cardiac pressure overload.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE77434
Functionally relevant prediction model for colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Filtered selection coupled with support vector machines generate functionally relevant prediction model for colorectal cancer. In this study, we built a model that uses Support Vector Machine (SVM) to classify cancer and normal samples using Affymetrix exon microarray data obtained from 90 samples of 48 patients diagnosed with CRC. From the 22,011 genes, we selected the 20, 30, 50, 100, 200, 300 and 500 genes most relevant to CRC using the Minimum-RedundancyMaximum-Relevance (mRMR) technique. With these gene sets, an SVM model was designed using four different kernel types (linear, polynomial, radial basis function and sigmoid).

Publication Title

Filtered selection coupled with support vector machines generate a functionally relevant prediction model for colorectal cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage

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accession-icon GSE27626
Responses of Zea mays root tissue to inoculation with the necrotrophic root pathogen Phytophthora cinnamomi
  • organism-icon Zea mays
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

Phytophthora cinnamomi is a devastating soil-borne oomycete with a very broad host range however there remains a major gap in the understanding of plant resistance responses to the pathogen, furthermore, necrotrophic plant-pathogen interactions, particularly those of root pathogens, remain poorly understood. Zea mays exhibits non-host resistance to the pathogen and has been well characterised as a model species. Using the maize Affymetrix GeneChip array we conducted genome-wide gene expression profiling to elucidate the defence genes and pathways which are induced in the root tissue of a resistant plant species to the pathogen.

Publication Title

Transcriptional profiling of Zea mays roots reveals roles for jasmonic acid and terpenoids in resistance against Phytophthora cinnamomi.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE76706
The impact of transgenic Uchl1 on gene expression in germinal center B-cells from ImHABCL6 mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This study seeks to understand the mechanisms behind enhanced lymphomagenesis observed in ImHABCL6/Uchl1 mice compared with ImHABCL6 alone. As the lymphomas arise from germinal center (GC) B-cells, we reasoned that transgenic Uchl1 altered the gene expression patterns in GC B-cells from these animals. We therefore isolated pre-malignant GC B-cells and examined the gene expression patterns to identify pathways affected by the addition of Uchl1.

Publication Title

UCH-L1 is induced in germinal center B cells and identifies patients with aggressive germinal center diffuse large B-cell lymphoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE69713
Patterns of gene expression in human fetal and adult liver
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

DNA methylation is an important epigenetic control mechanism that has been shown to be associated with gene silencing through the course of development, maturation and aging. However, only limited data are available regarding the relationship between methylation and gene expression in human development. We analyzed the methylomes and transcriptomes of three human fetal liver samples (gestational age 20-22 weeks) and three adult human liver samples. Genes whose expression differed between fetal and adult numbered 7,673. Adult overexpression was associated with metabolic pathways and, in particular, cytochrome P450 enzymes, while fetal overexpression reflected enrichment for DNA replication and repair. Analysis for DNA methylation using the Illumina Infinium 450K HumanMethylation BeadChip showed that 42% of the quality filtered 426,154 methylation sites differed significantly between adult and fetal tissue (q0.05). Differences were small; 69% of the significant sites differed in their mean methylation beta value by 0.2. There was a trend among all sites toward higher methylation in the adult samples with the most frequent difference in beta being 0.1. Characterization of the relationship between methylation and expression revealed a clear difference between fetus and adult. Methylation of genes overexpressed in fetal liver showed the same pattern as seen for genes that were similarly expressed in fetal and adult liver. In contrast, adult overexpressed genes showed fetal hypermethylation that differed from the similarly expressed genes. An examination of gene region-specific methylation showed that sites proximal to the transcription start site or within the first exon with a significant fetal-adult difference in beta (>0.2) showed an inverse relationship with gene expression. Nearly half of the CpGs in human liver show a significant difference in methylation comparing fetal and adult samples. Sites proximal to the transcription start site or within the first exon that show a transition from hypermethylation in the fetus to hypomethylation or intermediate methylation in the adult are associated with inverse changes in gene expression. In contrast, increases in methylation going from fetal to adult are not associated with fetal-to-adult decreased expression. These findings indicate fundamentally different roles for and/or regulation of DNA methylation in human fetal and adult liver.

Publication Title

Patterns of gene expression and DNA methylation in human fetal and adult liver.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE17867
Metabolically engineered urea degrading and urea importing Sake yeast strains K7 (WT), K7 Dur1,2 and K7 Dur3
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Excess/residual urea is a pervasion problem in wine and Sake fermentation. We sought to reduce residual urea levels (to reduce ethyl carbamate leves) by engineering the Sake yeast strain K7 to constitutively express either the urea amidolyase (Dur1,2) or urea importer (Dur3). We sought to then compare the gene expression profiles of the metabolically engineered yeast strains to the parental strain during fermentation.

Publication Title

Functional enhancement of Sake yeast strains to minimize the production of ethyl carbamate in Sake wine.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP043108
The human skeletal muscle transcriptome – sex differences, alternative splicing and tissue homogeneity assessed with RNA sequencing
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The amount of RNA sequencing data on skeletal muscle is very limited. We have analyzed a large set of human muscle biopsy samples and provide extensive information on the baseline skeletal muscle transcriptome, including completely novel protein-coding transcripts. Overall design: Analyze of transcriptome in 23 skeletal muscle biopsy samples from six individuals. Four biopsies from each subject, two biopsies from each leg (except subject 6 which has only three biopsies in total).

Publication Title

The human skeletal muscle transcriptome: sex differences, alternative splicing, and tissue homogeneity assessed with RNA sequencing.

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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