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accession-icon SRP077574
Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal of this study is to investigate if interferon signaling regulates immune checkpoint blockade in mouse melanoma model. Overall design: Transcription profiling for B16, B16 after chronic interferon treatment, B16 derived checkpoint blockade resistant strain 499 and various knockout from 499, coupled with ATA-seq data.

Publication Title

Tumor Interferon Signaling Regulates a Multigenic Resistance Program to Immune Checkpoint Blockade.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE61560
Gene expression analysis of CD11c+ splenic DCs day 7 after allo-HSCT.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The goal of our study is to determine whether Atg16L1 deficiency leads to differences in the transcriptional profile of CD11c+ Dendritic Cells, ultimately leading to an increased inflammatory phenotype.

Publication Title

Autophagy gene Atg16L1 prevents lethal T cell alloreactivity mediated by dendritic cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE61559
Gene expression analysis of CD11c+ splenic DCs.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The goal of our study is to determine whether Atg16L1 deficiency leads to differences in the transcriptional profile of CD11c+ Dendritic Cells, ultimately leading to an increased inflammatory phenotype.

Publication Title

Autophagy gene Atg16L1 prevents lethal T cell alloreactivity mediated by dendritic cells.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE61561
CD11c+ splenic DCs
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Autophagy gene Atg16L1 prevents lethal T cell alloreactivity mediated by dendritic cells.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP119921
Measuring differential gene expression with RNA-seq in 1mM inorganic arsenic exposed and conreol sibling Tg(fabp10:nls-mcherry) livers at 5dpf
  • organism-icon Danio rerio
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The goal of this study is to compare gene expression levels in the livers of larval Tg(fabp10:nls-mcherry) exposed to 1 mM inorganic arsenic from 4-120 hpf to the unexposed siblings. Samples were collected from Tg(fabp10:nls-mcherry) zebrafish larvae that were derived from incrossed parents of the same strain. The background of transgenic lines were typically from mixed outcrosses of the transgenics to AB, TAB5, and TAB14 strains when regenerating the lines as the working stocks aged. All samples were collected at approximately 120 hpf - natural spawning at 8:30-9:00AM EST on day zero, samples were collected at 8-10AM EST on day 5. Overall design: 10-20 livers from 5dpf embryos were pooled per sample of either control or 1 mM inorganic arsenic exposed Tg(fabp10:nls-mcherry) zebrafish larvae and RNA was extracted using the Zymo Quick-RNA Micro Kit with on-column DNase treatment. Libraries were prepared according to Illumina Truseq RNA sample prep kit, version 2, followed by Ribo-Zero Gold treatment.

Publication Title

Inorganic arsenic causes fatty liver and interacts with ethanol to cause alcoholic liver disease in zebrafish.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65503
Radiation and Dual Checkpoint Blockade Activates Non-Redundant Mechanisms in Cancer
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Response to immune checkpoint inhibitors may be improved through combinations with each other and other therapies, raising questions about non-redundancy and resistance. We report results from parallel studies of melanoma patients and mice treated with anti-CTLA4 and radiation (RT). Although combined treatment improved responses, resistance was common. Computational analyses of immune and transcriptomic profiles (provided here) revealed that resistance in mice was due to upregulation of tumor PD-L1 that drives T cell exhaustion. Accordingly, optimal response requires RT, anti-CTLA4, and anti-PD-L1. Anti-CTLA4 inhibits Tregs, RT diversifies and shapes the TCR repertoire, and anti-PD-L1 reinvigorates exhausted T cells. Together, all three therapies promote the expansion of clonotypes with distinct TCR traits. Similar to mice, patients with melanoma showing high PD-L1 did not respond to RT + anti-CTLA4, demonstrated persistent T cell exhaustion, and rapidly progressed. Thus, the combination of RT, anti-CTLA4, and anti-PD-L1 promotes response through distinct mechanisms.

Publication Title

Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP194185
comparative RNA-seq analysis of murine lung infected with A.fumigatus
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report the application of RNA-seq analysis for high-throughput profiling of murine lungs infected with Aspergillus fumigatus. We compared the lung transcription of wildtype murine lungs and lungs from mice deficient in metabolic cytokine adiponectin. Overall design: Examination of 2 different mice strain and comparison of lung transcripts in response to Aspergillus fumigatus infection.

Publication Title

The Metabolic Cytokine Adiponectin Inhibits Inflammatory Lung Pathology in Invasive Aspergillosis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP068202
Identifying FancC-dependent transcriptional signatures in mature B cells
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report the first RNA-Seq experiments profiling of FancC deficiency in B cells. Overall design: RNA-Seq of FancC-dependent gene signatures in mouse mature B cells

Publication Title

Loss of Fancc Impairs Antibody-Secreting Cell Differentiation in Mice through Deregulating the Wnt Signaling Pathway.

Sample Metadata Fields

Subject

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accession-icon GSE58721
BRAF inhibition leads to oxidative phosphorylation and cellular senescence in human melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Targeting components of the mitogen-activated protein kinase (MAPK) pathway prolongs survival of patients with advanced BRAFV600E melanomas but such an approach is not curative because of the rapid acquisition of numerous resistance mechanisms. Here we analyze melanoma cells that evade MAPK inhibitors by undergoing a senescence-like, slow-growth, phenotype, which leads to acquired resistance. The initial therapeutic response is characterized by an integrated stress response program, including stimulation of autophagic flux, activation of the endoplasmic reticulum machinery, and an enhanced ability of detoxifying reactive oxygen species. Reversibly senescent cells also exhibit an increase in mitochondrial genome copy number and a strong metabolic shift towards oxidative phosphorylation (OxPhos). Inducing mitochondrial dysfunction by co-targeting the MAPK pathway and mitochondrial Hsp90-directed protein folding with specific inhibitors prevented entry of cells into a reversibly senescent state, suppressed mitochondrial energy metabolism and augmented therapy response.

Publication Title

Targeting mitochondrial biogenesis to overcome drug resistance to MAPK inhibitors.

Sample Metadata Fields

Disease, Disease stage, Cell line, Time

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accession-icon GSE33933
Gene expression in the blood of SIV infected Rhesus macaques following in vivo PD-1 blockade
  • organism-icon Macaca mulatta
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

Hyperimmune activation is one of the strong predictors of disease progression during pathogenic immunodeficiency virus infections and is mediated in part by sustained type I interferon (IFN) signaling. Combination antiretroviral therapy suppresses hyperimmune activation only partially in HIV-infected individuals. Here, we show that blockade of Programmed Death-1 (PD-1) during chonic SIV infection significantly reduces the expression of transcripts associated with type I IFN signaling in the blood and colorectal tissue of rhesus macaques (RM). The effect of PD-1 blockade on type I IFN signaling was durable and persisted under high viremia, a condition that is seen in nonprogressive SIV infection in their natural hosts. The reduced type I IFN signaling was associated with enhanced expression of some of the junction-associated genes in the colorectal tissue and a profound decrease in LPS levels in plasma suggesting a possible repair of gut associated junctions and decreased microbial translocation. The reduced type I IFN signaling was also associated with enhanced immunity against gut resident pathogenic bacteria, control of gut associated opportunistic infections and survival of SIV-infected RMs. These results reveal novel mechanisms by which PD-1 blockade enhances survival of SIV-infected RMs and have implications for development of novel therapeutic approaches to control HIV/AIDS.

Publication Title

PD-1 blockade during chronic SIV infection reduces hyperimmune activation and microbial translocation in rhesus macaques.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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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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