refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 42 results
Sort by

Filters

Technology

Platform

accession-icon GSE74120
Gene profile analysis of sorted Sca1+/cKit- BMCs obtained from young and aged mice bearing tumor or not
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Sca1+/cKit hematopoietic BMCs of hosts bearing primary tumors promote the growth of distant tumors that form with a myofibroblast-rich, desmoplastic stroma. BMCs from old mice bearing primary tumors lack this ability

Publication Title

Hematopoietic Age at Onset of Triple-Negative Breast Cancer Dictates Disease Aggressiveness and Progression.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE75333
Aging reduces the pro-tumorigenic potential of bone marrow cells and influences triple-negative breast cancer progression
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To examine the effects of recombinant granulin on human mammary stromal fibroblasts, we cultured immortalized GFP+ normal human mammary fibroblasts in the presence of recombinant human granulin (1ug/ml) or PBS every 24h for 6 days. To generate GRN-independent CAFs, we injected immortalized GFP+ human mammary fibroblasts, MCF7Ras human breast carcinoma cells, and 20% Matrigel subcutaneously into nude mice. Tumors were allowed to form for a period of 45 days. GFP+ fibroblasts were isolated from tumors by mincing the tumors, dissociating, and culturing in the presence of 1 ug/ml puromycin for ~3-4 weeks. CAF purity was confirmed by ensuring that 100% of the population was GFP-positive.

Publication Title

Hematopoietic Age at Onset of Triple-Negative Breast Cancer Dictates Disease Aggressiveness and Progression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP040745
Genome-wide expression analysis of young, senescent and p38MAPK-inhibitited senescent human fibroblasts.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We utilized whole genome sequencing of mRNA (RNA-seq) to understand the extent to which the senescence-associated secretory phenotype is regulated by p38MAPK Overall design: Examination of replicates of young, senescent or p38MAPK-inhibited senescent BJ human foreskin fibroblasts.

Publication Title

p38MAPK plays a crucial role in stromal-mediated tumorigenesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070582
RNA-sequencing of non-senescent and senescent mouse skin fibroblast
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mouse skin fibroblasts (MSFs) were obtained from a FASST (Fibroblasts Accelerate Stromal-Supported Tumorigenesis) mouse. This mouse model allows for spatial and temporal control for senescence induction by using a stromal specific Cre-recombinase driven by the pro-collagen-alpha II promoter. The stromal specific Cre activates expression of the p27IRESGFP transgene that is expressed from the ROSA locus. We cultured the MSFs in vitro, induced senescence using 10uM tamoxifen added to the media. Non-senescent cells were treated with equal volume of vehicle alone (ethanol). Upon tamoxifen treatment, cells were moved to a modular incubation chamber and maintained at 3% oxygen at 37 degrees celcius for 12 days total before collection. At the time of collection, cells were trypsynized and pelleted by centrifugation. The cells were lysed using Trysol reagent and RNA was isolated using a RiboPure RNA isolation kit (Ambion). Overall design: For this study, 2 treatment groups were analyzed (non-senescent, EtOH samples and senescent, TAM samples). Each treatment group was performed 3 times for a total of 6 samples for analysis. The gene expression analysis is a comparison of expression in senescent (TAM) vs non-senescent (EtOH) mouse skin fibroblasts.

Publication Title

Stromal senescence establishes an immunosuppressive microenvironment that drives tumorigenesis.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon SRP159400
High Dimensional Analysis Delineates Myeloid and Lymphoid Compartment Remodeling during Successful Immune Checkpoint Cancer Therapy
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Using complementary forms of high dimensional profiling we define differences in CD45+ cells from syngeneic mouse tumors that either grow progressively or eventually reject following immune checkpoint therapy (ICT). Unbiased assessment of gene expression of tumor infiltrating cells by single cell RNA sequencing (scRNAseq) and longitudinal assessment of cellular protein expression by mass cytometry (CyTOF) revealed significant remodeling of both the lymphoid and myeloid intratumoral compartments. Surprisingly, we observed multiple subpopulations of monocytes/macrophages distinguishable by the combinatorial presence or absence of CD206, CX3CR1, CD1d and iNOS, markers of different macrophage activation states that change over time during ICT in a manner partially dependent on IFN?. Both the CyTOF data and additional analysis of scRNAseq data support the hypothesis that macrophage polarization/activation results from effects on circulatory monocytes/early macrophages entering tumors rather than on pre-polarized mature intratumoral macrophages. Thus, ICT induces transcriptional and functional remodeling of both myeloid and lymphoid compartments. Overall design: Droplet-based 3' end massively parallel single-cell RNA sequencing was performed by encapsulating sorted live CD45+ tumor infiltrating cells into droplets and libraries were prepared using Chromium Single Cell 3' Reagent Kits v1 according to manufacturer's protocol (10x Genomics). The generated scRNAseq libraries were sequenced using an Illumina HiSeq2500.

Publication Title

High-Dimensional Analysis Delineates Myeloid and Lymphoid Compartment Remodeling during Successful Immune-Checkpoint Cancer Therapy.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE149596
Transcriptomic fingerprints of C. elegans exposed to sodium perchlorate.
  • organism-icon Caenorhabditis elegans
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Gene 1.0 ST Array (elegene10st)

Description

The excessive perchlorate utilization as an oxidizer in rocket propellants and blasting agents had led to the contamination of surface and ground waters. This chemical is known to compete with iodine for binding to the thyroid membrane receptors potentially causing hypothyroidism and fetal retardation in pregnant women. Nevertheless, to date, its biological effects are not completely understood. We have investigated the molecular mechanisms responsive to perchlorate in the nematode C. elegans to nominate a candidate gene for further peruse in the development of a C.elegans perchlorate biosensor. Perchlorate (1 mg/mL) affected the transcriptional response of Regulation of developmental process, growth, defense mechanisms and stress response, among other biological processes.

Publication Title

Perchlorate detection <i>via</i> an invertebrate biosensor.

Sample Metadata Fields

Treatment

View Samples
accession-icon GSE70051
Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Genes upregulated by low oxygen have been suggested as endogenous markers for tumor hypoxia. Yet, most of the genes investigated have shown inconsistent results, which have led to concerns about their ability to be true hypoxia markers. Previous studies have demonstrated that expression of hypoxia induced genes can be affected by extracellular pH (pH e ). Methods: Five different human cell lines (SiHa, FaDu DD, UTSCC5, UTSCC14 and UTSCC15) were exposed to different oxygen concentrations and pH (7.5 or 6.3), and gene expression analyzed with microarray (Affymetrix - Human Genome U133 Plus 2.0 Array). Results: An analysis of two of the cell lines using SAM identified 461 probesets that were able to separate the four groups Normal oxygen, normal pH , Low oxygen, normal pH , Normal oxygen, low pH and Low oxygen, low pH . From here it was possible to identify a fraction of probesets induced at low oxygen independent of pH in these two cell lines, this fraction included HIG2, NDRG1, PAI1 and RORA. Further verifi cation by qPCR highlighted the necessity of using more cell lines to obtain a robust gene expression profi les. To specifi cally select pH independent hypoxia regulated genes across more cell lines, data for FaDu DD, UTSCC5, UTSCC14 and UTSCC15 were analyzed to identify genes that were induced by hypoxia in each cell line, where the induction was not affected by low pH, and where the gene was not signifi cantly induced by low pH alone. Each cell line had 65 122 probesets meeting these criteria. For genes to be considered as target genes (hypoxia inducible pH independent), genes had to be present in three of four cell lines. Conclusion: The result is a robust hypoxia profile unaffected by pH across cell lines consisting of 27 genes. This study demonstrates a way to identify hypoxia markers by microarray, where other factors in the tumor microenvironment are taken into account.

Publication Title

Identifying pH independent hypoxia induced genes in human squamous cell carcinomas in vitro.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE104786
Expression data from Neuroendocrine Prostate Cancer and Primary Small Cell Prostatic Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Neuroendocrine prostate cancer (NEPC) is rare historically but may be increasingin prevalence as patients potentially develop resistance to contemporary anti-androgen treatment through a neuroendocrine phenotype. Diagnosis can be straightforward when classic morphological features are accompanied by a prototypical immunohistochemistry profile, however there is increasing recognition of disease heterogeneity and hybrid phenotypes. In the primary setting, small cell prostatic carcinoma (SCPC) is frequently admixed with adenocarcinomas that may be clonally related, while a small fraction of SCPCs express markers typical of prostatic adenocarcinoma. Gene expression patterns may eventually help elucidate the biology underlying equivocal cases with discordant IHC, however studies to date have focused on prototypical cases and been based on few patients due to disease rarity.

Publication Title

Gene expression signatures of neuroendocrine prostate cancer and primary small cell prostatic carcinoma.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE65675
LOXL2 dependent genes in RA induced mES differentiation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Our results indicate that oxidation of TAF10 by LOXL2 induces its release from its promoters, leading to a block in TFIID-dependent gene transcription. Since TFIID complex is crucial for the expression of Nanog, Klf4, Sox2 and Oct4 and for maintaining the pluripotent state of embryonic stem cells, TAF10 oxidation by LOXL2 leads to inactivation of the pluripotency genes and a loss of pluripotent capacity in embryonic stem cells. Moreover, in vivo results demonstrate an essential role of LOXL2 in neural differentiation during zebrafish development: in the absence of LOXL2 the neural progenitor gene Sox2 is aberrantly overexpressed and neural differentiation is impaired.

Publication Title

LOXL2 Oxidizes Methylated TAF10 and Controls TFIID-Dependent Genes during Neural Progenitor Differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE72723
Integrative analysis of DCE-MRI and gene expression profiles in construction of a gene classifier for assessment of hypoxia-related risk of chemoradiotherapy failure in cervical cancer
  • organism-icon Homo sapiens
  • sample-icon 166 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

We have previously identified a prognostic 31-gene expression signature in locally advanced cervical cancer that is associated with tumor hypoxia and reflected by the dynamic contrast enhanced magnetic resonance (DCE-MR) image parameter ABrix. To bring the signature closer to clinical use, we here aimed to construct a classifier with key signature genes that retained an association to ABrix and separated the patients into groups with different hypoxia status and chemoradiotherapy outcome.

Publication Title

Integrative Analysis of DCE-MRI and Gene Expression Profiles in Construction of a Gene Classifier for Assessment of Hypoxia-Related Risk of Chemoradiotherapy Failure in Cervical Cancer.

Sample Metadata Fields

Specimen part, Cell line

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact