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accession-icon GSE14413
Gene expression profiling of interferon-beta stimulated cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Cytoplasmic DNA triggers the activation of the innate immune system. While downstream signaling components have been characterized, the DNA sensing components remain largely elusive. We performed a systematic proteomics screen for proteins that associate with DNA, traversed to a screen for IFN--induced transcripts. We identified DSIRE (DNA sensor for the IL-1 response, previously called AIM2) as a candidate cytoplasmic sensor. DSIRE showed a marked selectivity for double-stranded DNA. DSIRE can recruit the inflammasome adaptor ASC and gets redistributed to ASC speckles upon coexpression of ASC. RNAi-mediated reduction of DSIRE expression led to an impairment in IL-1 maturation. Reconstitution of unresponsive cells with DSIRE, ASC, caspase 1 and IL-1 showed that DSIRE is sufficient for inflammasome activation. Overall, our data strongly suggest that DSIRE is a cytoplasmic DNA sensor for the inflammasome.

Publication Title

An orthogonal proteomic-genomic screen identifies AIM2 as a cytoplasmic DNA sensor for the inflammasome.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP045611
Profile of gene expression in U87-MG xenografts expressing control vector (V0), the ubiquitin ligase KPC1 or the p50 subunit of the NF-kB transcription factor, using RNASeq analysis of transcripts mapped independently to the human and murine genomes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: We identified KPC1 as the ubiquitin ligase that binds to the p105 precursor of NF-kB, ubiquitinates it and mediates its proteasomal processing to generate the p50 active subunit of the transcription factor. Using U87-MG human glioblastoma xenografts, we observed that overexpression of KPC1 results in strong inhibition of tumor growth mediated via excessive generation of p50.The goal of this RNASeq study was to analyze the profile of gene expression in xenografts overexpressing control (V0), KPC1 or p50 vectors, and to further understand how the altered gene expression patterns can explain the tumor suppressive effect we observed. Results:Transcript analysis of U87-MG xenografts overexpressing control (V0), KPC1 or p50 vector mapped to the human genome revealed: • A strong similarity between overexpression of p50 and KPC1 (correlation of 0.51, p-value<10-300 ) • A specific signature of NF-kB targets [21 of the consistently changed genes are known to be regulated by NF-kB (p-value<3.4×10-9 )] • A significant (p-value<1.4×10-18) increase in the expression of 40 tumor suppressor genes, with no significant change in other classes. • A significant down regulation of a cluster of genes including LIN28B, IL-6, HMAGA2 and VEGFA. This finding links well to an established regulatory axis involving LIN28B, Let-7 microRNA, and IL-6 in inflammation and cell transformation that is regulated by NF-kB. Overall design: Exponentially growing U87-MG cells were stably transfected with an empty vector (V0) or vectors coding for Myc-KPC1 or Flag-p50. Cells were dissociated with trypsin, washed with PBS, and brought to a concentration of 50×10^6 cells/ml. Cell suspension (5×10^6/0.1 ml) was inoculated subcutaneously at the right flank of 7-weeks old male Balb/C nude mice (n=7). Following 21 days, mRNA from U87-MG xenografts was isolated using an RNA purification kit, and analyzed using the Illumina HiSeq 2500 sequencer. The RNASeq analysis experiment was repeated twice independently. Run1 included a total of 7 samples. Samples 1-3 were isolated from V0 – control tumors (3 different tumors), samples 4-5 were isolated from KPC1-expressing tumors (2 different pools of 3 tumors each due to small tumor size), and samples 6-7 were isolated from p50-expressing tumors for (2 different pools of 2-3 tumors each, due to very small tumor size). Run2 included a total of 5 samples. Samples 8-10 were isolated from V0 (control) tumors (3 different tumors), samples 11-12 were isolated from KPC1 tumors (2 different pools of 3 tumors each due to small tumor size). Several repeated attempts to extract RNA from the p50-expressing tumors did not yield any results, as the tumors were miniscule.

Publication Title

KPC1-mediated ubiquitination and proteasomal processing of NF-κB1 p105 to p50 restricts tumor growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP047459
NOTCH1 activation in breast cancer confers sensitivity to inhibition of SUMOylation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Breast cancer is genetically heterogeneous, and recent studies have underlined a prominent contribution of epigenetics to the development of this disease. To uncover new synthetic lethalities with known breast cancer oncogenes, we screened an epigenome-focused short hairpin RNA library on a panel of engineered breast epithelial cell lines. Here we report a selective interaction between the NOTCH1 signaling pathway and the SUMOylation cascade. Knockdown of the E2-conjugating enzyme UBC9 (UBE2I) as well as inhibition of the E1-activating complex SAE1/UBA2 using ginkgolic acid impairs the growth of NOTCH1-activated breast epithelial cells. We show that upon inhibition of SUMOylation NOTCH1-activated cells proceed slower through the cell cycle and ultimately enter apoptosis. Mechanistically, activation of NOTCH1 signaling depletes the pool of unconjugated small ubiquitin-like modifier 1 (SUMO1) and SUMO2/3 leading to increased sensitivity to perturbation of the SUMOylation cascade. Depletion of unconjugated SUMO correlates with sensitivity to inhibition of SUMOylation also in patient-derived breast cancer cell lines with constitutive NOTCH pathway activation. Our investigation suggests that SUMOylation cascade inhibitors should be further explored as targeted treatment for NOTCH-driven breast cancer. Overall design: We treated MCF10A and NOTCH1 cells with either DMSO or ginkgolic acid 30 uM for 3 days. Two replicates have been analysed for each condition.

Publication Title

NOTCH1 activation in breast cancer confers sensitivity to inhibition of SUMOylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP096656
Crizotinib v. DMSO in SW480 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

SW480 cells were treated with 2uM crizotinib for 72h (versus DMSO) Overall design: Examination of differential up- or down-regulated genes after crizotinib treatment

Publication Title

Global survey of the immunomodulatory potential of common drugs.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP050365
A common cell state in Triple Negative Breast Cancers represents a druggable vulnerability
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

A basal (MDAMB468) and luminal (ZR75-1) cell line were treated with DMSO or PKC412 for 6h Overall design: 2 DMSO and 3 PKC412 treated samples for each cell line

Publication Title

Targeting a cell state common to triple-negative breast cancers.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38720
Time series data of HCV (JC1) infection of Huh7 cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Huh7/5-2 cells (Binder et al., Hepatology 2007) were mock infected (DMEM) (time points 4 and 48 h) or infected with the chimeric HCV virus Jc1 (Pietschmann et al., PNAS 2006) (all time points).

Publication Title

Viral immune modulators perturb the human molecular network by common and unique strategies.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE10556
Comparision of expression profile between wild-type and Slc39a13 knockout chondrocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to explore molecules whose expression is controlled by Slc39a13, we investigated gene expression profiling of primary chondrocyte isolated from wild-type and Slc39a13 knockout mice.

Publication Title

The zinc transporter SLC39A13/ZIP13 is required for connective tissue development; its involvement in BMP/TGF-beta signaling pathways.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10555
Comparision of expression profile between wild-type and Slc39a13 knockout osteoblasts
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to explore molecules whose expression is controlled by Slc39a13, we investigated gene expression profiling of primary osteoblast isolated from wild-type and Slc39a13 knockout mice.

Publication Title

The zinc transporter SLC39A13/ZIP13 is required for connective tissue development; its involvement in BMP/TGF-beta signaling pathways.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP079357
Artemisinins target GABA receptor signaling to induce alpha to beta cell transdifferentiation
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 3000

Description

Type 1 diabetes is characterized by the destruction of pancreatic beta cells, and generating new insulin-producing cells from other cell types is a major aim of regenerative medicine. One promising approach is transdifferentiation of developmentally related pancreatic cell types including glucagon-producing alpha cells. In a genetic model, overexpression of the master regulatory transcription factor Pax4 or loss of its counterplayer Arx are sufficient to induce the conversion of alpha cells to functional beta-like cells. Here we identify artemisinins as small molecules that functionally repress Arx and induce beta-cell characteristics in alpha cells. We show that the protein gephyrin is the mammalian target of these antimalaria drugs. Finally, we demonstrate that gephyrin-mediated enhancement of GABAA receptor signaling is the mechanism of action of these molecules in pancreatic transdifferentiation. Our results indicate that gephyrin is a novel druggable target for the regeneration of pancreatic beta cell mass from alpha cells. Overall design: Transcriptional dissection of Artemether treated, human pancreatic islets of one donor using single-cell RNA-seq

Publication Title

Artemisinins Target GABA<sub>A</sub> Receptor Signaling and Impair α Cell Identity.

Sample Metadata Fields

Subject

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accession-icon SRP078950
Artemisinins target GABAA receptor signaling and impair alpha cell identity
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Type 1 diabetes is characterized by the destruction of pancrea tic beta cells, and generating new insulin-producing cells from other cell types is a major aim of regenerative medicine. One promising approach is transdifferentiation of developmentally related pancreatic cell types including glucagon-producing alpha cells. In a genetic model, loss of the master regulatory transcription factor Arx is sufficient to induce the conversion of alpha cells to functional beta-like cells. Here we identify artemisinins as small molecules that functionally repress Arx by causing its translocation to the cytoplasm. We show that the protein gephyrin is the mammalian target of these antimalaria drugs, and that enhancement of GABAA receptor signaling contributes to the mechanism of action of these molecules in pancreatic transdifferentiation. Our results in zebrafish, rodents and primary human pancreatic islets indicate that gephyrin is a novel druggable target for the regeneration of pancreatic beta cell mass from alpha cells. Overall design: There are two parts in the transcriptional study on mouse cell lines in this project. One part is on Min6-ARX inducible cells with different induction time of Dox. This is done in three different clones. The other part is on alpha-TC1 cells. This is done in one concentration of Artemether, one time point and two biological repeats.

Publication Title

Artemisinins Target GABA<sub>A</sub> Receptor Signaling and Impair α Cell Identity.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples

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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