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accession-icon SRP173228
Single-cell RNA-seq of UTCaß population in sarcoma mice models
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Neutrophils represent a fundamental mechanism of antimicrobial resistance and inflammation 1. Moreover, neutrophils have emerged as important players in the activation, orchestration and regulation of adaptive immune responses2,3. Neutrophils are a component of the tumor microenvironment (TME) and have been prevalently shown to promote progression 4-6. On the other hand, unleashed neutrophilic effectors have also been reported to mediate anti-cancer resistance7-11. Antibody-mediated depletion used to investigate the role of neutrophils in tumor progression suffers from limitations, including duration, specificity and perturbation of the system12. We therefore used a genetic approach to investigate the role of neutrophils in primary 3-methylcholanthrene (3-MCA)-induced sarcomagenesis. Neutrophils were found to play an essential role in resistance against primary carcinogenesis by driving an interferon-? dependent type 1 immune response. Neutrophil-dependent macrophage production of IL-12p70 led to type 1 polarization of CD4- CD8- unconventional aß T cells (UTCaß) in the TME. Single cell RNAseq analysis and in vivo evidence from two preclinical sarcoma models highlight the antitumor potential of a UTCaß subset. In the TCGA cohort of human undifferentiated pleomorphic sarcomas (UPS), unlike other sarcomas, granulocyte-colony stimulating factor receptor (CSF3R) expression and a neutrophil signature were associated with better outcome and with a type 1 immune response. The positive association between high neutrophil infiltration and improved clinical outcome was confirmed in an independent UPS cohort by immunohistochemistry. Thus, neutrophils, by driving a type 1 immune response and polarization of UTCaß, mediate resistance against murine and human sarcomas. Overall design: two experimental conditions, two biological replicates for each condition

Publication Title

Neutrophils Driving Unconventional T Cells Mediate Resistance against Murine Sarcomas and Selected Human Tumors.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE13869
Transcriptome of the Nxnl1-/- mouse retina
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Rod-derived Cone Viability Factor (RdCVF, alias nxnl1) is a retina-specific protein identified for its therapeutic potential in supporting cone survival during retinal degeneration.

Publication Title

The disruption of the rod-derived cone viability gene leads to photoreceptor dysfunction and susceptibility to oxidative stress.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE24147
Sera-induced transcriptional signatures in human leukemia cell lines
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inflammation is common to many disorders and responsible for tissue and organ damage. However, the associated peripheral cytokine milieu is frequently dilute and difficult to measure, necessitating development of more sensitive and informative biomarkers for mechanistic studies, earlier diagnosis, and monitoring therapeutic interventions. Previously, we have shown that sera from type 1 diabetes (T1D) patients induces a unique disease-specific pro-inflammatory transcriptional profile in fresh peripheral blood mononuclear cells (PBMCs) compared to sera of healthy controls.

Publication Title

Use of transcriptional signatures induced in lymphoid and myeloid cell lines as an inflammatory biomarker in Type 1 diabetes.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE21863
Transcriptome of the Nxnl2-/- mouse retina
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A nxnl2 knockout mouse model was created and the transcriptome used to demonstrate that the retina is compromised by the absence of nxnl2.

Publication Title

Nxnl2 splicing results in dual functions in neuronal cell survival and maintenance of cell integrity.

Sample Metadata Fields

Specimen part

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accession-icon GSE33552
Expression data from MDA-MB-231 cell line treated with Zoledronate, or Fluvastatin, or mock-treated control cells.
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Statins and bisphosponates (BPs) are two distinct classes of isoprenoid pathway inhibitors targeting HMG-CoA reductase (upstream enzyme) and Farnesyl-pyrophospate synthase (downstream enzyme) respectively. Here we conducted a comparative study of two representatives of these classes, fluvastatin (Fluva) and Zoledronate (Zol), to assess the differences in their in vivo metastatic potentials and pharmacogenomic profiles. Both drugs, being administered after emergence of detectable metastases, appeared to be potent metastasis inhibitors in MDA-MB-231 breast cancer metastasis model. We observed a reduced number of metastatic sites under Fluva, but not Zol treatment. Combinatorial in vivo treatment by Fluva and Zol showed no synergy for these drugs, as reported earlier on the basis of in vitro studies (Budman DR, Oncology 2006), staying in line with similarity of their transcriptomic profiles. Comparison of Zol and Fluva transcriptomic profiles revealed similar patterns of affected genes (describe involved genes functions) through different kinetics (when treated with IC50 determined for 72h treatment, the majority of changes were observed after 24h incubation with Fluva , and only after 48h incubation with Zol at 72h-IC50 or after 24h treatment with its 3 times higher dose). We demonstrated here that targeting different enzymes of the same pathway neither necessarily leads to distinct changes in gene profiles, nor to synergy for in vivo anti-metastatic potential.

Publication Title

Transcriptome analysis and in vivo activity of fluvastatin versus zoledronic acid in a murine breast cancer metastasis model.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE21651
Differential expression for salt and drought stress
  • organism-icon Oryza sativa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Leaf samples were used. We exposed young seedlings to NaCl and drought.

Publication Title

Identification of cis-regulatory elements associated with salinity and drought stress tolerance in rice from co-expressed gene interaction networks.

Sample Metadata Fields

Specimen part

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accession-icon SRP127737
Widespread Changes in Transcriptome Profile of Human Mesenchymal Stem Cells Induced by Two-Dimensional (2D) Nanosilicates
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Two-dimensional (2D) nanomaterials, an ultrathin class of materials such as graphene, nanoclays, transition metal dichalcogenides (TMDs), and transition metal oxides (TMOs), have emerged as a new generation of materials due to their unique properties relative to macroscale counterparts. However, little is known about the transcriptome dynamics following exposure to these nanomaterials. Here we investigate the interactions of 2D nanosilicates, a layered clay, with human mesenchymal stem cells (hMSCs) at the whole transcriptome level by high-throughput sequencing (RNA-seq). Analysis of cell-nanosilicate interactions by monitoring change in transcriptome profile uncovers key biophysical and biochemical cellular pathways triggered by nanosilicates. A widespread alteration of genes is observed due to nanosilicate exposure as more than 4,000 genes are differentially expressed. The change in mRNA expression levels reveal clathrin-mediated endocytosis of nanosilicates. Nanosilicate attachment to cell membrane and subsequent cellular internalization activate stress-responsive pathways such as mitogen activated protein kinase (MAPK), which subsequently directs hMSC differentiation towards osteogenic and chondrogenic lineages. This study provides transcriptomic insight on the role of surface-mediated cellular signaling triggered by nanomaterials and enables development of nanomaterials-based therapeutics for regenerative medicine. This approach in understanding nanomaterial-cell interactions, illustrates how change in transcriptomic profile can predict downstream effects following nanomaterial treatment.  Overall design: Examination of affect of 2D nanosilicates on hMSCs

Publication Title

Widespread changes in transcriptome profile of human mesenchymal stem cells induced by two-dimensional nanosilicates.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon E-MEXP-2506
Transcription profiling by array of rice grown in different light and temperature cycles
  • organism-icon Oryza sativa
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, ssp. Japonica, cv. Nipponbare 1) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.<br></br>

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon E-MTAB-275
Transcription profiling by array of rice Indica 93-11 after growth in different light and temperature conditions
  • organism-icon Oryza sativa
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa, spp. Indica, cv. 93-11) plants were grown in a Conviron PGR 15 growth chamber using precise control of temperature, light, and humidity.<br></br>Diurnal (driven) conditions included 12L:12D light cycles and 31C/20C thermocycles in three different combinations. These were: photocycles (LDHH), 12 hrs. light (L)/12 hrs. dark (D) at a constant temperature (31C; HH); photo/thermocycles (LDHC): 12 hrs. light (L) /12 hrs. dark (D) with a high day temperature (31C) and a low night temperature (20C); and thermocycles (LLHC): continuous light (LL) with 12 hrs. high/12 hrs. low temperature (31C, day; 20C, night). Light intensity and relative humidity were 1000 micromol m-2s-2 and 60%, respectively.<br></br>Three-month-old rice plants were entrained for at least one week under the respective condition prior to initiation of each experiment. Leaves and stems from individual rice plants were collected every four hours for 48 hrs in driven (diurnal) conditions followed by a two day freerun spacer under continuous light/temperature followed by two additional days of sampling under the same continuous free run condition.

Publication Title

Global profiling of rice and poplar transcriptomes highlights key conserved circadian-controlled pathways and cis-regulatory modules.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE75150
Whole genome expression data from WT, Atf4-/-, and Cebpg-/- MEFs under normal and amino acid deprived (AAD) growth conditions
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The integrated stress response (ISR) controls cellular adaptations to nutrient deprivation, redox imbalances and ER stress. ISR genes are upregulated in stressed cells, primarily by the bZIP transcription factor ATF4 through its recruitment to cis-regulatory C/EBP:ATF response elements (CAREs) together with a dimeric partner of uncertain identity. Here we show that C/EBP:ATF4 heterodimers, but not C/EBP:ATF4 dimers, are the predominant CARE binding species in stressed cells. C/EBP and ATF4 associate with genomic CAREs in a mutually-dependent manner and co-regulate many ISR genes. By contrast, the C/EBP family members C/EBP and CHOP were largely dispensable for induction of stress genes. Cebpg/ MEFs proliferate poorly and exhibit oxidative stress due to reduced glutathione levels and impaired expression of several glutathione biosynthesis pathway genes. Cebpg/ mice (C57BL/6 background) display reduced body size and microphthalmia, similar to ATF4-null animals. In addition, C/EBP-deficient newborns die from atelectasis and respiratory failure which can be mitigated by in utero exposure to the anti-oxidant, N-acetyl-cysteine. Cebpg/ mice on a mixed strain background show improved viability but, upon aging, develop significantly fewer malignant solid tumors compared to WT animals. Our findings identify C/EBP as a novel anti-oxidant regulator and an obligatory ATF4 partner that controls redox homeostasis in normal and cancerous cells.

Publication Title

C/EBPγ Is a Critical Regulator of Cellular Stress Response Networks through Heterodimerization with ATF4.

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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