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accession-icon GSE52717
Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells
  • organism-icon Homo sapiens
  • sample-icon 20 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

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE52712
Flexible multiplatform RNA profiling at the single cell level applied to enriched cancer initiating cells: Affymetrix array data
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Accurate profiling of RNA expression of single cells is a valuable approach for broadening our understanding of cancer biology and mechanisms of dissemination, but requires the development of reliable methods for their molecular characterization. Here we evaluate a single cell methodology which generates microgram amounts of cDNA suitable for next generation sequencing (RNA-Seq), high throughput RT-qPCR and Affymetrix array analysis. The approach was tested by comparing expression profiles of amplified single MCF7 and MCF10A cells to profiles generated from unamplified RNA. The expression profiles were compared by Affymetrix-U133 arrays, RNA-Seq and high-density qPCR. There were strong cross-platform correlations of >80% and concordance between single cell and unamplified material of >70%. We exemplify the approach through analysis of rare sorted cancer initiating cells (CICs) derived from a NSCLC patient-derived xenograft. Populations of 10 cells from total tumour and two distinct subsets of CIC, putatively involved in primary tumor maintenance or metastasis formation were FACS sorted then directly amplified. CIC expression profiles strongly correlated with published stem-cell and epithelial-mesenchymal transition (EMT) signatures. Our results confirm the utility of the amplification system and our methodology to detect and distinguish RNA profiles in rare cell populations that inform on EMT and stem-cell characteristics. This GEO dataset comprises the Affymetrix U-133 Plus 2.0 data for MCF7 and MCF10A cDNA amplified from 1ng RNA and single cell samples.

Publication Title

Evaluation and validation of a robust single cell RNA-amplification protocol through transcriptional profiling of enriched lung cancer initiating cells.

Sample Metadata Fields

Disease, Cell line

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accession-icon SRP041036
RNAseq to investigate transcriptional changes in human MM cell lines due to panobinostat, 5-Azacytidine, panobinostat+5-Azacytidine or n-methyl-2-pyrroldine (NMP) treatments.
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: We applied RNA sequencing technology for high-throughput analysis of transcriptional changes within human MM cell lines JJN3 and U266 due to individual and combination drug treatment. Methods: JJN3 and U266 cells were treated with pan-HDACi panbobinostat, DNMTi 5-Azacytidine, panobinostat+5-Azacytidine or NMP for 4h or 24h in triplicate and transcriptional changes assessed by RNAseq using Illumina HiSeq platform. Specifically, JJN3 cells were treated with 10nM panobinostat, 2.5µM 5-Azacytidine, panobinostat+5-Azacytidine (at given doses), or 10mM NMP. U266 cells were treated with 10nM panobinostat, 10µM 5-Azacytidine, panobinostat+5-Azacytidine (at given doses), or 10mM NMP. Results: We report unique and overlapping transcriptional signatures that lead to the induction of apoptosis in human MM cell lines in a cell-specific manner due to individual or combination treatments. Conclusions: A detailed analysis of differential transcriptional events in human MM cell lines due to HDACi, DNMTi, HDACi+DNMTi and NMP appear to define the molecular events leading to apoptosis and drug mechanism of action. Overall design: We tested triplicate experiments at 4h and 24hr time points in JJN3 and U266 cell lines against vehicle control treated cells.

Publication Title

The drug vehicle and solvent N-methylpyrrolidone is an immunomodulator and antimyeloma compound.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19492
Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconSentrix Mouse-6 Expression BeadChip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE19766
Transcriptional responses of mouse bone marrow-derived macrophages (BMM) to lipopolysaccharide (LPS) - Illumina arrays
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconSentrix Mouse-6 Expression BeadChip

Description

These microarrays were performed for use in a genome-wide scan for LPS-regulated genes in mouse macrophages, in order to construct a list of LPS-regulated genes for detailed interrogation on custom microarrays (see GSE19490 for custom array analysis).

Publication Title

Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE19765
Transcriptional responses of human monocyte-derived macrophages (HMDM) to lipopolysaccharide (LPS) - Illumina arrays
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconSentrix Mouse-6 Expression BeadChip

Description

These microarrays were performed for use in a genome-wide scan for LPS-regulated genes in human monocyte-derived macrophages, in order to construct a list of LPS-regulated genes for detailed interrogation on custom microarrays (see GSE19482 for custom array analysis).

Publication Title

Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE6085
Expression data from Murine T cell in response to IL-2 at 10 time points in 24 hours after IL-2 treatment
  • organism-icon Mus musculus
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The cytokine IL-2 determines T cell fate by controlling T cell proliferation and differentiation, but the expression files of IL-2 regulated genes are not defined

Publication Title

Identification of expression patterns of IL-2-responsive genes in the murine T cell line CTLL-2.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19380
Gene expression from primary brain cell cultures and RNA mixtures.
  • organism-icon Rattus norvegicus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Gene expression from primary neuronal, astrocytic, oligodendrocytic and microglial cultures, as well as from RNA mixtures thereof.

Publication Title

Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain.

Sample Metadata Fields

Specimen part

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accession-icon SRP149567
Oncogenic KRAS(G12V) and BRAF(V600E) in intestinal organoids
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Goals of the study was to compare transcripional and phenotypic response of mouse intestinal organoid cultures to the KRAS(G12V) or BRAF(V600E)oncogenes. Overall design: Two biological replicates of organoids with transgenic luc-tdTomato, KRAS(G12V)-tdTomato, BRAF(V600E)-tdTomato were analysed by RNA-Seq By comparing 7-10 x 10E7 50bp paired end reads per library we identify transcriptional alterations in the intestinal epithelium following expression of each oncogene

Publication Title

Cell type-dependent differential activation of ERK by oncogenic KRAS in colon cancer and intestinal epithelium.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP065559
A designed inhibitor of p53 aggregation rescues p53 tumor-suppression in ovarian carcinomas
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Half of all human cancers lose p53 function by missense mutations, with an unknown fraction of these containing p53 in a self-aggregated, amyloid-like state. Here we show that a cell-penetrating peptide, ReACp53, designed to inhibit p53 amyloid formation, rescues p53 function in cancer cell lines and in organoids derived from high-grade serous ovarian carcinomas (HGSOC), an aggressive cancer characterized by ubiquitous p53 mutations. Rescued p53 behaves similarly to its wild-type counterpart in regulating target genes, reducing cell proliferation and increasing cell death. Intraperitoneal administration decreases tumor proliferation and shrinks xenografts in vivo. Our data show the effectiveness of targeting a specific aggregation defect of p53 and its potential applicability to HGSOCs. Overall design: Vehicle vs. ReACp53 treatment in 4 different samples: 2 cell lines (MCF7 w/ WT p53 as negative control and OVCAR3 w/ R248Q p53) and 2 clinical specimens (primary cells from patient #8 w/ WT p53 as negative control and primary cells from patient #1 w/ R248Q p53)

Publication Title

A Designed Inhibitor of p53 Aggregation Rescues p53 Tumor Suppression in Ovarian Carcinomas.

Sample Metadata Fields

No sample metadata fields

View Samples
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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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