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accession-icon SRP076902
Dysregulated immune system networks in war veterans with PTSD
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: RNA-Seq analysis can help identify large set of differentially expressed genes at a time. We performed RNA-Seq analysis to identify differentially expressed genes in the PBMCs of war veterans suffering from PTSD. Methods: Total RNA from PBMCs from PTSD +ve and -ve individuals were used for RNA-Seq analysis. Results: We obtained, on average, ~60 millions reads per sample. More than 70% of the reads were mapped to human genome. Functional analysis of the differentially expressed genes (362) revealed dysregulation in immune system network. Conclusions: Our present study provides further proof that immune system related genes and pathways are dysregulated in PTSD PBMCs. Overall design: RNA-Seq was performed with RNA from 5 each control and PTSD individuals. PBMCs collected within one hour of blood draw were used for RNA isolation. 1 ug of total RNA was used for library synthesis and sequenced in a HighSeq 2000 illumina instrument at Tufts University.

Publication Title

Decreased AGO2 and DCR1 in PBMCs from War Veterans with PTSD leads to diminished miRNA resulting in elevated inflammation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP057632
Complementary Expression of Immunoglobulin Superfamily Ligands and Receptors in Synaptic Pairs in the Drosophila Visual System
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Information processing in the brain relies on precise patterns of synapses between neurons. The molecular mechanisms by which this specificity is achieved remains elusive. In the medulla of the Drosophila visual system, different neurons form synaptic connections in different layers. Methods: we developed methods to purify seven neuronal cell types (R7, R8 and L1-L5 neurons) using Fluorescence Activated Cell Sorting. Results: we show that neurons with different synaptic specificities express unique combinations of mRNAs encoding hundreds of cell surface and secreted proteins. Using RNA sequencing and MiMIC-based protein tagging, we demonstrate that 21 paralogs of the Dpr family, a subclass of Immunoglobulin (Ig)-domain containing proteins, are expressed in unique combinations in homologous neurons with different layer-specific synaptic connections. Dpr interacting proteins (DIPs), comprising nine paralogs of another subclass of Ig superfamily proteins, are expressed in a complementary layer-specific fashion in a subset of synaptic partners. We propose that pairs of Dpr/DIP paralogs contribute to layer-specific patterns of synaptic connectivity. Conclusions: This complexity is mirrored by the complexity of the cell surface and secreted molecules expressed by each of the R cell and lamina neurons profiled in this study. How this complexity contributes to specificity remains elusive, but the convergence of improved histological, genetic and molecular tools promises to provide important insights into the molecular recognition strategies controlling synaptic specificity. Overall design: We chose 7 time points for RNA-seq analysis of R cells during pupal development corresponding to 24, 35, 40, 45, 53, 65 and 96 hrs after pupal formation (APF).

Publication Title

Ig Superfamily Ligand and Receptor Pairs Expressed in Synaptic Partners in Drosophila.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon SRP102431
RNA sequencing analysis of HL-1 cardiomyocytes
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Analysis of murine cardiomyocyte cell line HL-1 treated with Ivermectin or Importazole. Results provide insight into the pathways regulated by the treatments. Overall design: RNA-seq of mouse HL-1 cardiomyocytes treated with vehicle (DMSO), Ivermectin, or Importazole for 24 hours, in triplicate, using Ion Proton System.

Publication Title

Antihypertrophic Effects of Small Molecules that Maintain Mitochondrial ATP Levels Under Hypoxia.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP044608
TNFa Signaling Exposes Latent Estrogen Receptor Binding Sites in Breast Cancer Cells [GRO-seq]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The interplay between mitogenic and proinflammatory signaling pathways play key roles in determining the phenotypes and clinical outcomes of breast cancers. We have used global nuclear run-on coupled with deep sequencing to characterize the immediate transcriptional responses of MCF-7 breast cancer cells treated with estradiol, TNFa, or both. In addition, we have integrated these data with chromatin immunoprecipitation coupled with deep sequencing for estrogen receptor alpha (ERa), the pioneer factor FoxA1 and the p65 subunit of the NF-?B transcription factor. Our results indicate extensive transcriptional interplay between these two signaling pathways, which is observed for a number of classical mitogenic and proinflammatory protein-coding genes. In addition, GRO-seq has allowed us to capture the transcriptional crosstalk at the genomic locations encoding for long non-coding RNAs, a poorly characterized class of RNAs which have been shown to play important roles in cancer outcomes. The synergistic and antagonistic interplay between estrogen and TNFa signaling at the gene level is also evident in the patterns of ERa and NF-?B binding, which relocalize to new binding sites that are not occupied by either treatment alone. Interestingly, the chromatin accessibility of classical ERa binding sites is predetermined prior to estrogen treatment, whereas ERa binding sites gained upon co-treatment with TNFa require NF-?B and FoxA1 to promote chromatin accessibility de novo. Our data suggest that TNFa signaling recruits FoxA1 and NF-?B to latent ERa enhancer locations and directly impact ERa enhancer accessibility. Binding of ERa to latent enhancers upon co-treatment, results in increased enhancer transcription, target gene expression and altered cellular response. This provides a mechanistic framework for understanding the molecular basis for integration of mitogenic and proinflammatory signaling in breast cancer. Overall design: Using GRO-seq and ChIP-seq (ER, FoxA1 and p65) to assay the molecular crosstalk of MCF-7 cells treated with E2, TNFa or both E2+TNFa.

Publication Title

TNFα signaling exposes latent estrogen receptor binding sites to alter the breast cancer cell transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE67104
Granulocyte colony-stimulating factor reprograms bone marrow stromal cells to actively suppress B lymphopoiesis in mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

G-CSF treatment targets CXCL12-abundant reticular (CAR) cells to suppress their production of a number of B trophic factors, including CXCL12, IL-6, IL-7, IGF-1, and Flt3 ligand.

Publication Title

Granulocyte colony-stimulating factor reprograms bone marrow stromal cells to actively suppress B lymphopoiesis in mice.

Sample Metadata Fields

Treatment

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accession-icon SRP098968
Transcriptome analysis revealed impaired cAMP responsiveness in PHF21A-deficient human cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We performed RNA-Seq on PHF21A-deficient patient-dervied lymphoblasts as well as two unaffected individuals. Overall design: We performed RNA-Seq from patient-derived lymphoblast cells. Libraries were polyA-selected and strand-specific according to the protocol described in PMID: 25607527

Publication Title

Transcriptome Analysis Revealed Impaired cAMP Responsiveness in PHF21A-Deficient Human Cells.

Sample Metadata Fields

Sex, Specimen part, Disease stage, Subject

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accession-icon GSE39297
PEA15 regulates the DNA damage induced cell cycle checkpoint and oncogene-directed transformation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Regulation of the DNA damage response and cell cycle progression is critical for maintaining genome integrity. Here we report that in response to DNA damage, COPS5 deubiquitinates and stabilizes PEA15 in an ATM kinase-dependent manner. PEA15 expression oscillates throughout the cell cycle, and the loss of PEA15 accelerates cell cycle progression by activating CDK6 expression via the c-JUN transcription factor. Cells lacking PEA15 exhibit a DNA damage-induced G2/M checkpoint defect due to increased CDC25C activity and consequentially higher CDK1/Cyclin B activity and accordingly have an increased rate of spontaneous mutagenesis. We find that oncogenic RAS inhibits PEA15 expression and ectopic PEA15 expression blocks RAS-mediated transformation, which can be partially rescued by ectopic expression of CDK6. Finally, we show that PEA15 expression is down regulated in colon, breast and lung cancer samples. Collectively, our results demonstrate that tumor suppressor PEA15 is a regulator of genome integrity and is an integral component of the DNA damage response pathway that regulates cell cycle progression, the DNA-damage-induced G2/M checkpoint and cellular transformation.

Publication Title

PEA15 regulates the DNA damage-induced cell cycle checkpoint and oncogene-directed transformation.

Sample Metadata Fields

Cell line

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accession-icon SRP018256
Enhancer Transcripts Mark Active Estrogen Receptor Binding Sites
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

In this study, we used Global Run-On sequencing (GRO-seq), a method that assays the genome-wide location and orientation of all active RNA polymerases. We generated a global profile of active transcription at ERa binding sites in MCF-7 human breast cancer cells in response to short time course of E2 treatment. This method enabled us to detect active transcription at enhancers and define a class of primary transcripts transcribed uni- or bidirectionally from the ERa binding sites. The raw data used in this study is from GSE27463 but sequenced to a greater depth. Overall design: Using GRO-seq over a time course (0, 10, 40 min) of estrogen signaling in ER-alpha positive MCF-7 human breast cancer cells.

Publication Title

Enhancer transcripts mark active estrogen receptor binding sites.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon GSE93400
YAP and TAZ modulate cell phenotype in a subset of small cell lung cancer.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We explored the functional role of YAP in SCLC cells (SBC3 and SBC5) by YAP knockdown.

Publication Title

YAP and TAZ modulate cell phenotype in a subset of small cell lung cancer.

Sample Metadata Fields

Cell line

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accession-icon GSE47684
Recurrent mutations of multiple components of cohesin complex in myeloid neoplasms
  • organism-icon Homo sapiens
  • sample-icon 12 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

Recurrent mutations in multiple components of the cohesin complex in myeloid neoplasms.

Sample Metadata Fields

Specimen part, Disease, Cell line

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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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