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accession-icon GSE29375
Time-course effect of APRIL on gene expression in HepG2 cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

APRIL (TNFSF13) is a ligand of the TNF superfamily which binds to two receptors, BCMA and TACI. We have found that APRIL and its receptor BCMA are specifically enhanced in hepatocellular carcinoma, as compared to non-cancerous liver tissue. We further identified that HepG2 cells present the same ligand/receptor pattern as human hepatocellular carcinomas. We investigated the role of APRIL in HepG2 gene expression in a time course study.

Publication Title

APRIL binding to BCMA activates a JNK2-FOXO3-GADD45 pathway and induces a G2/M cell growth arrest in liver cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE41185
Potentiation of regulatory T cell stability and function via a neuropilin-1:semaphorin-4a axis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Regulatory T cells (Treg) represent a critical immunoregulatory component of the immune system. The signals that maintain Treg stability and potentiate their function remain obscure. Here we show that the immune cell surface ligand semaphorin-4a (Sema4a)

Publication Title

Stability and function of regulatory T cells is maintained by a neuropilin-1-semaphorin-4a axis.

Sample Metadata Fields

Treatment

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accession-icon SRP136814
RNA deep sequencing from murine BALB/c WT and IL-2-KO bulk CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our goal was to identify early genetic changes in the development of autoimmune dysfunction. WT and IL-2-KO CD8 T cells were sorted from the lymph node and spleen of 12-day old mice. Total RNA was isolated by Expression Analysis Inc. using Illumina TrueSeq Stranded Total RNA Sample Preparation Kit. Eight samples were sequenced (four biological replicates of IL-2-KO and WT/HET mice), producing 2X50 paired-end reads using the Illumine HiSeq 2500 platform. Raw reads were provided by Expression Analysis. We identified several genetic signatures within the bulk data including a cytolyic pattern and a novel gene expression pattern indicating a helper-like function. Overall design: WT and IL-2-KO CD8 T cells were sorted from the lymph node and spleen of 12-day old mice. Total RNA was isolated by Expression Analysis Inc. using Illumina TrueSeq Stranded Total RNA Sample Preparation Kit. Eight samples were sequenced (four biological replicates of IL-2-KO and WT/HET mice).

Publication Title

CD8 Follicular T Cells Promote B Cell Antibody Class Switch in Autoimmune Disease.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE71601
Gene and miRNA Expression data from synovium in mouse serum transfer arthritis model (STA) model
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Synovium-Derived MicroRNAs Regulate Bone Pathways in Rheumatoid Arthritis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE71599
Gene Expression data from synovium in mouse serum transfer arthritis model (STA) model
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To find regulated genes during peak inflammation of rheumatoid arthritis (RA), we have collected synovium from mouse Serum Transfer Arthtitis (STA) model at day 0 (Non Arthritic) and day 10 (Peak Inflammation).

Publication Title

Synovium-Derived MicroRNAs Regulate Bone Pathways in Rheumatoid Arthritis.

Sample Metadata Fields

Specimen part, Time

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accession-icon E-MTAB-2508
Transcriptional profiling of chronic myelogenous leukemia (CML) and normal, quiescent and dividing haematopoietic cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells.

Publication Title

Transcriptional analysis of quiescent and proliferating CD34+ human hemopoietic cells from normal and chronic myeloid leukemia sources.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon SRP003672
Genome-wide characterization of long nonpolyadenylated RNAs, experiment II
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

We have used deep sequencing to explore the repertoire of both poly(A)+ and poly(A)- RNAs from two standard cell lines, HeLa cells and human embryonic stem cell (hESC) H9 cells. Overall design: Examination of nonpolyadenylated and polyadenylated in 2 cell types.

Publication Title

Genomewide characterization of non-polyadenylated RNAs.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP002789
Genome-wide characterization of long nonpolyadenylated RNAs
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

We have used deep sequencing to explore the repertoire of both poly(A)+ and poly(A)- RNAs from two standard cell lines, HeLa cells and human embryonic stem cell (hESC) H9 cells. Overall design: Examination of nonpolyadenylated and polyadenylated RNA in 2 cell types.

Publication Title

Genomewide characterization of non-polyadenylated RNAs.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP033336
The splicing activator DAZAP1 integrates splicing control into MEK/Erk regulated cell proliferation and migration
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

DAZAP1 was depleted in culterd HEK 293T cells using shRNA and the resulting poly A RNA were isolated c-DNA library constructed and paired end sequenced on illumina Hi-seq 2000 platform the data was compared to a control shRNA depleted cell Overall design: Gene expression and splicing switches upon DAZAP1 knockdown

Publication Title

The splicing activator DAZAP1 integrates splicing control into MEK/Erk-regulated cell proliferation and migration.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19710
Microarray analysis of rat pulmonary artery smooth muscle cells before or after exposure to S-nitrosoglutathione (GSNO)
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Nitric oxide (NO) regulated pulmonary vascular function and structure, in part, via its effect on gene expression. We used microarrays to determine the up- and downregulated genes in rat pulmonary artery smooth muscle cells exposed to the NO donor S-nitrosoglutathione (GSNO) for 1, 2, and 4 hours.

Publication Title

Phosphodiesterase 3A expression is modulated by nitric oxide in rat pulmonary artery smooth muscle cells.

Sample Metadata Fields

Specimen part

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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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