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accession-icon GSE53839
Expression data from 35S:miR396b plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcript profile of apices of 20 days-old Arabidopsis plants over expressing miR396b.

Publication Title

Repression of cell proliferation by miR319-regulated TCP4.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP059039
Elucidating the etiology and molecular pathogenicity of infectious diarrhea by high throughput RNA sequencing
  • organism-icon Homo sapiens
  • sample-icon 206 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Diarrhea remains a major cause of death in children. Current diagnostic methods largely rely on stool culture and suffer from low sensitivity and inadequate specificity, often leading to inappropriate treatment. The objective of the present study was to use RNA sequencing (RNAseq) analysis to determine blood transcriptional profiles specific for several common pathogenic bacteria and viruses that cause diarrhea in children. We collected whole blood samples from children in Mexico having diarrhea associated with a single pathogen and without systemic complications. Our RNAseq data suggested that the blood signatures can differentiate children with diarrhea from healthy children either with or without bacterial colonization. Moreover, we detected different expression profiles from bacterial and viral infection, demonstrating for the first time the use of RNAseq to identify the etiology of infectious diarrhea. Overall design: 255 whole blood samples from 246 children including children with diarrhea caused by rotavirus (n=60 total; 5 repeated; 55 unique), E.coli (n=55), Salmonella (n=36), Shigella (n=37), adenovirus (n=8), norovirus (n=7), and control children (n=52 total; 4 repeated; 48 unique).

Publication Title

Shared and organism-specific host responses to childhood diarrheal diseases revealed by whole blood transcript profiling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11250
Overexpression of miR396
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcript profile of 10 days-old seedlings over expressing miR396

Publication Title

Control of cell proliferation in Arabidopsis thaliana by microRNA miR396.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6743
1,25 (OH)2 vitamin D3 induces expression of CCR10 and other genes
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human naive T cells from peripheral blood were cultured in 24 wells coated with anti-CD3 and anti-CD28 antibodies in the presence or absence of retinoid acid, IL-12, and 1,25 (OH)2 vitamin D3. The T cells were FACS-sorted based on expression of CD3, integrin alpha4beta7, cutaneous lymphocyte antigen (CLA) and chemokine receptor 10. This serie includes microarray data from stimulated T cells under indicated conditions.

Publication Title

DCs metabolize sunlight-induced vitamin D3 to 'program' T cell attraction to the epidermal chemokine CCL27.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53438
Expression data from rGRF3, 35S:GIF1 and rGRF3x35S:GIF1 plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The Growth Regulating Factors (GRFs) are plant specific transcription factors. They form complexes with GRF Interacting Factors (GIFs), a small family of transcriptional co-activators. In Arabidopsis thaliana, seven out of the nine GRFs are regulated by microRNA miR396. A detailed analysis of GRF3 revealed that a modified transgene, insensitive to the regulation of miR396, causes a strong increase in the number of cells in leaves, while an additional increase of GIF1 expression further enhances the number of cells synergistically. Genome-wide transcript profiling revealed that simultaneous increase of GRF3 and GIF1 levels causes additional effects in gene expression compared to either of the transgenes alone. We observed that GIF1 interacts in vivo with GRF3, as well as chromatin remodeling complexes, providing a mechanistic explanation for the additional activities of a GRF3-GIF1 complex. Interestingly, we found that the GRF system also regulates leaf longevity. Genetic and molecular analysis revealed that the functions of GRFs in leaf size and senescence can be uncoupled, demonstrating that the GRFs control different stages of leaf development. The results provide new insights into the functions of a complex regulatory network composed of microRNAs, transcription factors, and co-transcription factors.

Publication Title

Post-transcriptional control of GRF transcription factors by microRNA miR396 and GIF co-activator affects leaf size and longevity.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP151055
A human TH17 population with a tissue-resident signature in healthy and inflamed oral mucosal tissues [10x]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

T cells in mucosal tissues fulfill a complex array of duties to ensure maintenance of barrier immunity. In oral mucosa tissue, we found that increased inflammation altered CD4 T cell subsets in a spatially-dependent manner, although it had a modest effect on the frequency of tissue-resident memory T cells (TRM) and the CD4 T cell transcriptome. In contrast, localization to the tissue profoundly altered the transcriptional profile, emphasizing the importance of studying healthy tissue to understand disease-specific changes. Our data revealed the existence of a TH17 cell population that is predominantly found in the tissue-resident, but not transient, CD4 T cell compartment in mucosal tissue. Overall design: This project contains bulk RNA-seq data from paired oral mucosa tissue and blood CD4 T cell subsets from 10 subjects and 10X genomics sequencing of CD4 T cell subsets from one individual

Publication Title

The human tissue-resident CCR5<sup>+</sup> T cell compartment maintains protective and functional properties during inflammation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE58807
miR396 overexpression in Arabidopsis thaliana roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of gene expression in the meristematic zone of Arabidopsis roots overexpressing miR396

Publication Title

MicroRNA miR396 Regulates the Switch between Stem Cells and Transit-Amplifying Cells in Arabidopsis Roots.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP115925
The hepatitis C viral protein NS5A stabilizes growth-regulatory human transcripts
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

Numerous mammalian proto-oncogene and other growth-regulatory transcripts are upregulated in malignancy due to abnormal mRNA stabilization. In hepatoma cells expressing a hepatitis C virus (HCV) subgenomic replicon, we found that the viral nonstructural protein 5A (NS5A), a protein known to bind to viral RNA, also bound specifically to human cellular transcripts that encode regulators of cell growth and apoptosis, and this binding correlated with transcript stabilization. An important subset of human NS5A-target transcripts contained GU-rich elements, sequences known to destabilize mRNA. We found that NS5A bound to GU-rich elements in vitro and in cells. Mutation of the NS5A zinc finger abrogated its GU-rich element-binding and mRNA stabilizing activities. Overall, we identified a molecular mechanism whereby HCV manipulates host gene expression by stabilizing host transcripts in a manner that would promote growth and prevent death of virus-infected cells, allowing the virus to establish chronic infection and lead to the development of hepatocellular carcinoma. Overall design: Calculate mRNA decay rate by examining RNA-seq expression levels of 2 samples (Huh and Huh-HCV) at 3 time points (0h, 3h, and 6h) after transcription arrest. RNA-IP followed by RNA-seq on 2 samples (Huh and Huh-HCV).

Publication Title

The hepatitis C viral nonstructural protein 5A stabilizes growth-regulatory human transcripts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE59736
Metabolic regulation of cancer cell proliferation is mediated by reactive oxygen species
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inhibition of cancer cell proliferation by PPARγ is mediated by a metabolic switch that increases reactive oxygen species levels.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE59735
Effect of pioglitazone treatment on gene expression in NCI-H2347 lung cancer cells: time course experiment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Microarray studies was performed to analyze gene expression changes in NCI-H2347 cells after treatment with 50 M pioglitazone for 12hr, 24hr and 48hrs.

Publication Title

Inhibition of cancer cell proliferation by PPARγ is mediated by a metabolic switch that increases reactive oxygen species levels.

Sample Metadata Fields

Specimen part, Cell line

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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