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accession-icon GSE61670
Modulation of the cancer cell transcriptome by culture media formulations and cell density
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We investigated how varying the composition of cell culture formulations and growing cancer cells at different densities might affect tumor cells genotype. Specifically, we compared gene expression profiles generated by human MDA-MB-231 human breast cancer cells cultured in different media (MEM, DMEM, or RPMI 1640) containing different concentrations of fetal bovine serum (FBS) or different sera (equine or bovine) that were grown at different cell densities.

Publication Title

Modulation of the cancer cell transcriptome by culture media formulations and cell density.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE7824
Zonal Heterogeneity for Gene Expression in Human Pancreatic Carcinoma Growing in the Pancreas of Nude Mice
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using Affymetrix HG-U133-Plus 2.0 array and Laser Capture Microdissection techniques, we determined whether growth in different zones of the same tumor affected expression of genes by human pancreatic cancer cells. Human L3.6pl pancreatic cancer cells were implanted into the pancreas of nude mice. Gene expression patterns in tumor cells within the central and peripheral zones were compared and statistical differences were determined for 1222 genes. Bioinformatic functional prediction analysis revealed that 346 upregulated genes in the peripheral zone were related to cytoskeleton organization and biogenesis, cell cycle, cell adhesion, cell motility, DNA replication, localization, integrin-mediated signaling pathway, development, morphogenesis, and IkB kinase/NF-kB cascade; and 876 upregulated genes in the central zone were related with regulation of cell proliferation, regulation of transcription, transmembrane receptor protein tyrosine kinase signaling pathway, response to stress, small GTPase mediated signal transduction, hexose metabolism, cell death, response to external stimulus, carbohydrate metabolism, and response to wounding. Results from the microarray were confirmed for reliability by in situ hybridization analysis. Collectively, these data demonstrate zonal heterogeneity for gene expression profiles in tumors and suggest that characterization of zonal gene expression profiles are essential to obtain reproducible data, to predict disease prognosis, and to design specific therapeutics.

Publication Title

Zonal heterogeneity for gene expression in human pancreatic carcinoma.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE19179
Gene expression profile of Serially Mixed samples of MDA-MB231 and Mouse Astrocytes
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

To test specificity of human microarray probes against mouse mRNA serially mixed human MDA-MB231 cancer cells' mRNAs with mouse Astrocytes were hybridized against human microarray and vice versa by changing the ratios of human and mouse samples from 100% to 0%.

Publication Title

Cross-species hybridization of microarrays for studying tumor transcriptome of brain metastasis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE4619
Gene expression profiling of CD34+ cells from MDS patients and normal controls
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to gain insight into the poorly understood pathophysiology of the myelodysplastic syndromes (MDS), we have determined the gene expression profiles of the CD34+ cells of 55 MDS patients using the Affymetrix GeneChip U133 Plus2.0 platform

Publication Title

Gene expression profiles of CD34+ cells in myelodysplastic syndromes: involvement of interferon-stimulated genes and correlation to FAB subtype and karyotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP083919
Effect of SWELL1 gene deletion on gene expression in adipocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We used RNA-Seq to detail the global expression changes induced when SWELL1 is genetically deleted from adipocytes. Overall design: We generated isogenic SWELL1 KO adipocyte cell lines from 3T3-F442A cells. CRISR/Cas9 was used to knockout the SWELL1 gene in the parental 3T3-F442A line. These cell lines were grown in culture and RNA was extracted for sequencing. RNA was sequenced on an Illumina Hi-Seq at the University of Iowa Core Facility.

Publication Title

SWELL1 is a regulator of adipocyte size, insulin signalling and glucose homeostasis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE93579
Gene expression and alternative splicing profiles of BEZ235 treated Ewing Sarcoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

TC71 cells treated either with BEZ235 or DMSO

Publication Title

hnRNPM guides an alternative splicing program in response to inhibition of the PI3K/AKT/mTOR pathway in Ewing sarcoma cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP074273
Zfp281 Coordinates Opposite Functions of Tet1 and Tet2 for Alternative Pluripotent States [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Pluripotent cell identity comprises a spectrum of cell states including naive and primed states, which are typified by mouse embryonic stem cells (ESCs) and epiblast-derived stem cells (EpiSCs), respectively. Here we define a pluripotent cell fate (PCF) gene signature based on RNA-seq analysis associated with naive and primed pluripotency acquisition, and identify Zfp281 as a key transcriptional regulator for primed pluripotency and also as a barrier to achieve the naive pluripotency of both mouse and human ESCs. Overall design: RNA sequencing analysis was performed in WT and Zfp281 null mouse embryonic stem cells under different pluripotent culture conditions. RNA-seq Experiments were carry out in two biological replciates. Genome binding/occupancy profiling of Zfp281 was performed in mouse embryonic stem cells by ChIP sequencing.

Publication Title

Zfp281 Coordinates Opposing Functions of Tet1 and Tet2 in Pluripotent States.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE91022
The Sin3a/HDAC co-repressor complex cooperates with Nanog in promoting stem cell pluripotency and somatic cell reprogramming
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The SIN3A/HDAC Corepressor Complex Functionally Cooperates with NANOG to Promote Pluripotency.

Sample Metadata Fields

Specimen part

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accession-icon GSE90986
The Sin3a/HDAC co-repressor complex cooperates with Nanog in promoting stem cell pluripotency and somatic cell reprogramming [Microarray Expression]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Despite the requirement of Sin3a for survival of early embryos and embryonic stem cells (ESCs), mechanistic action of Sin3a in the maintenance and establishment of pluripotency remains unexplored. Here we report the transcriptional regulatory roles of Sin3a in maintaining ESC pluripotency and in reprogramming somatic cells towards full pluripotency. Sin3a/HDAC complex members were enriched in an extended Nanog interactome and exhibited a predominant transcriptional co-activator role at a global level in ESCs. We also established a critical role for Sin3a in efficient reprogramming of somatic cells towards full pluripotency. Nanog and Sin3a co-localize at almost all of their genome-wide targets in pre-iPSCs, and both factors are required to directly induce a synergistic transcriptional program wherein pluripotency genes are activated and reprogramming barrier genes are repressed. Our results, for the first time, establish positive roles of the Sin3a/HDAC complex in the maintenance and establishment of pluripotency.

Publication Title

The SIN3A/HDAC Corepressor Complex Functionally Cooperates with NANOG to Promote Pluripotency.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP172788
RNA-seq of FSHD and control immortalised myoblasts II
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

FSHD myoblasts show a suppression of ESRRA and PPARGC1A during myogenesis Overall design: FSHD Myoblasts 54-2, 54-12, 54-A5, 16A and 12A and matched controls 54-6, 54-A10, 16U and 12U were plated at 312,000 cells per 12 well plate in proliferation media and cultured for 48 hours or until 100% confluent, then induced to differentiate for 3.5 days, samples were taken at 8 time points during differentation for 54-6 and 54-12 and at confluency and terminal differentiation in the remaining lines. RNA-sequencing was performed on high quality (RIN > 8.0) DNA free RNA.

Publication Title

Dynamic transcriptomic analysis reveals suppression of PGC1α/ERRα drives perturbed myogenesis in facioscapulohumeral muscular dystrophy.

Sample Metadata Fields

Sex, Subject

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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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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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