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accession-icon SRP055410
Pseudomonas aeruginosa PA14 differential gene expression in PA14_69770 mutants
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Extremely slow growth imposed by energy limitation is a ubiquitous but poorly understood physiological state for microbes. We used oxygen limitation to impose this state on Pseudomonas aeruginosa and measured newly synthesized proteins using a time-selective proteome labeling method (BONCAT) to identify relevant regulators and metabolic pathways. We further characterized one upregulated protein that has no homology to any known protein domains. This small, acidic protein is post-transcriptionally regulated and physically interacts with RNA polymerase, binding near the secondary channel during transcription elongation, and leading to widespread effects on gene expression. For some genes, the impacts on transcript and protein levels are different, suggesting possible modulation of translation as well. These effects have phenotypic consequences, as deletion of the gene affects biofilm formation, secondary metabolite production, and fitness in fluctuating conditions. Based on these phenotypes, we have designated the protein SutA (survival under transitions). Overall design: Profiles of rRNA-depleted total RNA from WT, ?sutA (PA14_69770), and SutA-overexpressing cells grown late exponential phase in minimal medium containing pyruate as the carbon source, in triplicate

Publication Title

SutA is a bacterial transcription factor expressed during slow growth in Pseudomonas aeruginosa.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE25011
Study for evaluating the effect of cold ischemic time and RNA stabilization method on RNA integrity and gene expression measurements
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Time series of eleven breast cancer samples subjected to different cold ischemic stress of up to 3 hr post tumor excision.

Publication Title

Effects of tissue handling on RNA integrity and microarray measurements from resected breast cancers.

Sample Metadata Fields

Subject

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accession-icon GSE32497
GENOME-WIDE CpG ISLAND METHYLATION ANALYSIS IN NON-SMALL CELL LUNG CANCER PATIENTS
  • organism-icon Homo sapiens
  • sample-icon 15 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

Genome-wide CpG island methylation analyses in non-small cell lung cancer patients.

Sample Metadata Fields

Specimen part, Disease, Cell line, Treatment

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accession-icon GSE32496
GENOME-WIDE CpG ISLAND METHYLATION ANALYSIS IN NON-SMALL CELL LUNG CANCER PATIENTS [Affymetrix expression data]
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Epigenetic changes largely contribute to the regulation of gene expression in cancer cells. DNA methylation is part of the epigenetic gene regulation complex which is relevant for the pathogenesis of cancer. We performed a genome-wide search for methylated CpG islands in tumors and corresponding non-malignant lung tissue samples of 101 stage I-III non-small cell lung cancer (NSCLC) patients by combining methylated DNA immunoprecipitation and microarray analysis using NimbleGens 385K Human CpG Island plus Promoter arrays. By testing for differences in methylation between tumors and corresponding non-malignant lung tissues, we identified 298 tumor-specifically methylated genes. From many of these genes epigenetic regulation was unknown so far. Gene Ontology analysis revealed an over-representation of genes involved in regulation of gene expression and cell adhesion. Expression of 182 of 298 genes was found to be upregulated after 5-aza-2-deoxycytidine (Aza-dC) and/or trichostatin A (TSA) treatment of 3 NSCLC cell lines by Affymetrix microarray analysis. In addition, methylation of selected genes in primary NSCLCs and corresponding non-malignant lung tissue samples were analyzed by methylation-sensitive high resolution melting analysis (MS-HRM). Our results obtained by MS-HRM analysis confirmed our data obtained by MeDIP-chip analysis. Moreover, by comparing methylation results from MeDIP-chip analysis with clinico-pathological parameters of the patients we observed methylation of HOXA2 as potential parameter for shorter disease-free survival of NSCLC patients. In conclusion, using a genome-wide approach we identified a large number of tumor-specifically methylated genes in NSCLC patients. Our results stress the importance of DNA methylation for the pathogenesis of NSCLCs.

Publication Title

Genome-wide CpG island methylation analyses in non-small cell lung cancer patients.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP119462
Low incubation temperature during early development negatively affects survival and related innate immune processes in zebrafish larvae exposed to lipopolysaccharide
  • organism-icon Danio rerio
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Low incubation temperature during early development negatively affects survival and related innate immune processes in zebrafish larvae exposed to lipopolysaccharide Overall design: Zebrafish embryos were collected from 28 °C, and divided into three temperature groups (24 °C, 28 °C, 32 °C) for incubation. At the first-feeding stage, larvae from each incubation temperature group were further split into three temperature groups in a full-factorial way for LPS challenge. In total, nine temperature groups (three incubation temperatures x three challenge temperatures) were generated. At 24 h post LPS challenge, mortality of larvae were recorded. Larvae originating from 24 °C incubation temperature group had higher mortality rate than larvae from the other two temperature groups. LPS-treated larvae from three temperature groups, incubation 24 °C x challenge 24 °C, incubation 24 °C x challenge 32 °C, and incubation 32 °C x challenge 24 °C, together with their respective control were chosen for transcriptomic analyses using mRNA sequencing. A total of 722 genes were determined differentially expressed (DEGs) by DESeq2 (adjusted p-value < 0.05) in LPS-challenged larvae compared to control, and 605 of them had a fold change greater than 1.5, including 294 DEGs (144 up-/150 down-regulated) in larvae incubated and challenged with LPS at 24 °C; 33 DEGs (20 up-/13 down-regulated) in larvae incubated at 32 °C and challenged at 24 °C; and 278 DEGs (190 up-/88 down-regulated) in larvae incubated at 24 °C and challenged at 32 °C. Larvae incubated and challenged with LPS at 24 °C had stimulated innate immune response compared to control, while they also showed down-regulated innate immune processes and genes. In larvae incubated at 32 °C and challenged at 24 °C, the innate immune processes were up-regulated in larvae exposed to LPS compared to control, and theses processes were even much stronger (with higher enrichment values) than larvae from incubation and challenge temperature of 24 °C. In larvae incubated at 24 °C and challenged with LPS at 32 °C, limited innate immune response were up-regulated, and additional hypoxia and oxidative processes were observed. Genes annexin A2a, S100 calcium binding protein A10b, and lymphocyte antigen-6, epidermis were identified as promising candidates for LPS recognition and signal transduction.

Publication Title

Low incubation temperature during early development negatively affects survival and related innate immune processes in zebrafish larvae exposed to lipopolysaccharide.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE32893
Human bronchial epithelial cells exposed to A. alternata spores
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This present study is the first to investigate the global changes in host gene expression during the interaction of human bronchial epithelial cells and live Alternaria spores. Human bronchial epithelial cells (BEAS2-B) were exposed to spores or media alone for 24 hours. RNA was collected from three biological replicates/treatment and used to assess changes in gene expression patterns using Affymetrix Human Genome U133 Plus 2.0 Arrays. Interestingly, many cytokine/chemokine immune response genes were upregulated. Genes involved in cell death, retinoic acid signaling, TLR3, and interferon response pathways were also significantly upregulated.

Publication Title

Analysis of global gene expression changes in human bronchial epithelial cells exposed to spores of the allergenic fungus, Alternaria alternata.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE19302
Expression profile of the heat-inducible N-degron of Nab2 (nab2-td)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Gene expression in eukaryotes is an essential process that includes transcription, pre-RNA processing and RNA export. All these steps are coupled and normally, any failure in one step affects the other steps and could cause nuclear mRNA retention. One important player in this interface is the poly(A)-RNA binding protein Nab2, which regulates the poly(A)-tail length of mRNAs protecting their 3-ends from a second round of polyadenylation and facilitating their nucleo-cytoplasmic export. Interestingly, here we show that Nab2 has additional roles in mRNA transcription elongation, tRNA metabolism and rRNA export.

Publication Title

Nab2 functions in the metabolism of RNA driven by polymerases II and III.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26303
Expression profile of nab2-1 mutant
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Gene expression in eukaryotes is an essential process that includes transcription, pre-RNA processing and RNA export. All these steps are coupled and normally, any failure in one step affects the other steps and could cause nuclear mRNA retention. One important player in this interface is the poly(A)-RNA binding protein Nab2, which regulates the poly(A)-tail length of mRNAs protecting their 3-ends from a second round of polyadenylation and facilitating their nucleo-cytoplasmic export. Interestingly, here we show that Nab2 has additional roles in mRNA transcription elongation, tRNA metabolism and rRNA export.

Publication Title

Nab2 functions in the metabolism of RNA driven by polymerases II and III.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP051023
Chimeric RNA profiling demonstrates an association of alveolar rhabdomyosarcoma with specific stages of normal myogenesis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Total RNA extracted from differentiated mesenchymal stem cells at four time points (T1,T2,T3,T4) and sequenced using Illumina Hi-seq 2000 platform to generate RNA sequencing with 101bp in read length. Nearly 50 million raw reads were yielded from each sample respectively. We used FastQC to confirm the quality of raw fastq sequencing data, and SOAPfuse software to detect fusion transcripts. Overall design: Discovering fusion genes from muscle differentiated mesenchymal stem cells

Publication Title

Fusion transcriptome profiling provides insights into alveolar rhabdomyosarcoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP050061
Discovery of cis-spliced chimeric RNAs between adjacent genes in human prostate cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Total RNA extracted from prostate cancer LNCaP cells transfected with siRNA against CTCF(siCTCF), or negative control siRNA (si-)were processed, and sequenced by two different companies using Illumina Hi-seq 2000 platform to generate RNA sequencing with two output sequences: paired-end 50bp and 101bp in read length. Nearly 100 million and 50 million raw reads were yielded from each sample respectively. We used FastQC to confirm the quality of raw fastq sequencing data, and SOAPfuse software to detect fusion transcripts. Overall design: Discovering fusion genes from siCTCF and si- in LNCaP cells.

Publication Title

Discovery of CTCF-sensitive Cis-spliced fusion RNAs between adjacent genes in human prostate cells.

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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