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accession-icon GSE74491
The response of Pseudomonas aeruginosa strains PAO1 and FRD1 to 10 mM calcium under planktonic and biofilm conditions
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The Pseudomonas aeruginosa PAO1 Two-Component Regulator CarSR Regulates Calcium Homeostasis and Calcium-Induced Virulence Factor Production through Its Regulatory Targets CarO and CarP.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE74444
Response of Pseudomonas aeruginosa strain PAO1 to 10 mM added calcium in planktonic culture
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

PAO1 was cultured planktonically to stationary phase with 10 mM calcium and no added calcium. The transcriptional response to calcium addition was determined.

Publication Title

The Pseudomonas aeruginosa PAO1 Two-Component Regulator CarSR Regulates Calcium Homeostasis and Calcium-Induced Virulence Factor Production through Its Regulatory Targets CarO and CarP.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP034746
3’ and 5’ end modifications in plant microRNA post biogenesis: evidences from NGS of small RNAs [Arabidopsis thaliana]
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Backgropund:In a major paradigm shift in the last decade, the knowledge about a whole class of non-coding RNAs known as miRNAs has emerged, which have proved these to be important regulators of a wide range of cellular processes by the way of modulation of gene expression. It is reported that some of these miRNAs are modified by addition or deletion of nucleotides at their ends, after biogenesis. However, the biogenesis and functions of these modifications are not well studied in eukaryotes, especially in plants. In this study, we examined the miRNA modifications in different tissues of the various plants, namely rice, tomato and Arabidopsis and identified some common features of such modifications. Results:We have analyzed different aspects of miRNA modifications in plants. To achieve this end, we developed a PERL script to find the modifications in the sequences using small RNA deep sequencing data. The modification occurs in both mature and passenger (star) strands, as well as at both the 5'' and 3'' ends of miRNAs. Interestingly, we found a position-specific nucleotide biased modification, as evident by increased number of modification at the 5'' end with the presence of Cytosine (nucleotide ''C'') at the 3’end of the miRNA sequence. The level of modifications is not strictly dependent on the abundance of miRNA. Our study showed that the modification events are independent of plant species, tissue and physiological conditions. Our analysis also indicates that the RNAi enzyme, namely, the RNA dependent RNA polymerase 6 (RDR6) may not have any role in Arabidopsis miRNA modifications. Some of these modified miRNAs are bound to AGO1, suggesting their possible roles in biological processes. Conclusions:This is a first report that reveals that 5'' nucleotide additions are preferred for mature miRNA sequences with 3’ terminal ‘C’ nucleotide. Our analysis also indicates that the miRNAs modifications involving addition of nucleotides to the 5’ or 3’ end are independent of RDR6 activity and are not restricted by plant species, physiological conditions and tissue types. The results also indicate that such modifications might be important for biological processes. Overall design: small RNA profiles of wild type and RDR6 (-) of Arabidopsis plants were generated using deep sequencing data.

Publication Title

3' and 5' microRNA-end post-biogenesis modifications in plant transcriptomes: Evidences from small RNA next generation sequencing data analysis.

Sample Metadata Fields

Subject

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accession-icon SRP135812
RNA-seq analysis of splenic follicular IgD low and IgD high, and marginal zone B cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA sequencing was performed to determine the uniqueness of splenic follicular IgD low B cells compared to splenic follicular IgD high and marginal zone B cells. Overall design: Splenic follicular IgD low and IgD high , and MZ B cells were sorted by FACS from naïve 8-10 weeks old mice. Total RNA was isolated from the sorted cells using RNAqueous® -4PCR kit and RNA sequencing was performed. Splenocytes from five mice were pooled for each sorting. Three independent sorting was performed for each B cell subset.

Publication Title

Mature IgD<sup>low/-</sup> B cells maintain tolerance by promoting regulatory T cell homeostasis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE48152
Allelic heterogeneity and more detailed analyses of known loci explain additional phenotypic variation and reveal complex patterns of association.
  • organism-icon Homo sapiens
  • sample-icon 705 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The identification of multiple signals at individual loci could explain additional phenotypic variance ('missing heritability') of common traits, and help identify causal genes. We examined gene expression levels as a model trait because of the large number of strong genetic effects acting in cis. Using expression profiles from 613 individuals, we performed genome-wide single nucleotide polymorphism (SNP) analyses to identify cis-expression quantitative trait loci (eQTLs), and conditional analysis to identify second signals. We examined patterns of association when accounting for multiple SNPs at a locus and when including additional SNPs from the 1000 Genomes Project. We identified 1298 cis-eQTLs at an approximate false discovery rate 0.01, of which 118 (9%) showed evidence of a second independent signal. For this subset of 118 traits, accounting for two signals resulted in an average 31% increase in phenotypic variance explained (Wilcoxon P< 0.0001). The association of SNPs with cis gene expression could increase, stay similar or decrease in significance when accounting for linkage disequilibrium with second signals at the same locus. Pairs of SNPs increasing in significance tended to have gene expression increasing alleles on opposite haplotypes, whereas pairs of SNPs decreasing in significance tended to have gene expression increasing alleles on the same haplotypes. Adding data from the 1000 Genomes Project showed that apparently independent signals could be potentially explained by a single association signal. Our results show that accounting for multiple variants at a locus will increase the variance explained in a substantial fraction of loci, but that allelic heterogeneity will be difficult to define without resequencing loci and functional work.

Publication Title

Allelic heterogeneity and more detailed analyses of known loci explain additional phenotypic variation and reveal complex patterns of association.

Sample Metadata Fields

Specimen part

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accession-icon GSE28317
Gene expression data from human CD34+ cord blood cells infected with MIGR1, MIGR1-AML1-ETO or MIGR1-AML1-ETONHR1
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Compare the gene expression profile among human CD34+ cord blood cells infected with MIGR1, MIGR1-AML1-ETO or MIGR1-AML1-ETONHR1

Publication Title

The leukemogenicity of AML1-ETO is dependent on site-specific lysine acetylation.

Sample Metadata Fields

Specimen part

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accession-icon GSE17548
Expression data from cirrhosis and HCC tissue samples
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hepatocellular carcinoma (HCC) is the fifth most-common cancer worldwide causing nearly 600,000 deaths esch year. Approximately 80% of HCC develops on the background of cirrhosis.It is necessary to identify novel genes involved in HCC to implement new diagnostic and treatment options. However, the molecular pathogenesis of HCC largely remains unsolved. Only a few genetic alterations, namely those affecting p53, -catenin and p16INK4a have been implicated at moderate frequencies of these cancers. Early detection of HCC with appropriate treatment can decrease tumor-related deaths

Publication Title

Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE17546
Expression data from immortal and senescence-programmed Huh7 clones
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cellular senescence is a tumor suppressor mechanism, and immortalization facilitates neoplastic transformation. Both mechanisms may be highly relevant to hepatocellular carcinoma (HCC) development and its molecular heterogeneity. Cellular senescence appears to play a major role in liver diseases. Chronic liver diseases are associated with progressive telomere shortening leading senescence that is observed highly in cirrhosis, but also in some HCC. We previously described the generation of immortal and senescence-programmed clones from HCC-derived Huh7 cell line.

Publication Title

Genome-wide transcriptional reorganization associated with senescence-to-immortality switch during human hepatocellular carcinogenesis.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP102183
Analysis of WT and IRF1-deficient Th9 cell transcriptomes in the presence of IFN-gamma
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Goal of this study was to compare transcriptional changes in IFN-gamma-treated WT compared to IRF1-deficient Th9 cells Overall design: mRNA profiles of Th9 cells cultured for 2 days in the presence of IFN-gamma in vitro were generated by deep sequencing using Illumina HiSeq2000

Publication Title

Reciprocal regulation of the Il9 locus by counteracting activities of transcription factors IRF1 and IRF4.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP076333
Lead Modulates trans- and cis-eQTLs in Drosophila melanogaster Heads
  • organism-icon Drosophila melanogaster
  • sample-icon 154 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal was to study the effects of lead exposure on gene expression and identify the lead-responsive genes. After detecting 1,536 cis-eQTLs (FDR = 10%) and 952 trans-eQTLs, we focused our analysis on Pb-sensitive “trans-eQTL hotspots”. Overall design: 158 randomly selected Drosophila Synthetic Population Resource (A2) samples (control 79 samples and Pb-treated) without replicates

Publication Title

Identification of Splicing Quantitative Trait Loci (sQTL) in <i>Drosophila melanogaster</i> with Developmental Lead (Pb<sup>2+</sup>) Exposure.

Sample Metadata Fields

Cell line, Subject

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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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