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accession-icon GSE68498
Evaluation of sub-culturing on whole genome expression of skeletal muscle-derived cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Today, cell therapy is considered as one of the most promising alternates to cure end-stage diseases. Using human cells for transplantation needs in vitro culture and passages which arises the concern of malignant transformation of cells. To evaluate the effect of sub-culturing on whole genome transcriptome of skeletal muscle-derived cells (SMDCs), microarray analysis was performed on passages 3, 6, 9 and 12 of SMDCs in three replicates.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-68498

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE87793
EMT blockage is required for mouse nave pluripotent stem cell derivation
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Pluripotency is the differentiation capacity of particular cells exhibited in the early embryo in vivo and embryonic stem (ES) cells have been shown to originate from the inner cell mass (ICM) of an E3.5 blastocyst. Although the potential for ES cells to differentiate into the three germ layers is equated to ICM cells, they differ in the ability to maintain the capacity for self-renewal. Despite several studies on the maintenance of ES cells in the ground state of pluripotency, the precise mechanism of conversion from the ICM to the ES cell remains unclear. Here , we have examined the cell characteristics and expression profile within the intermediate stages of ES cell derivation from the ICM. Gene clustering and ontology (GO) analyses showed a significant change in the expression of epigenetic modifiers and DNA methylation-related genes in the intermediate stages. We have proposed that an epithelial-to-mesenchymal transition (EMT) blockage is required during derivation of mouse ES cells from E3.5 blastocysts. This study suggests a novel mechanistic insight into ES cell derivation and provides a time-course transcriptome profiling resource for the dissection of gene regulatory networks that underlie the transition from ICM to ES cells.

Publication Title

Blockage of the Epithelial-to-Mesenchymal Transition Is Required for Embryonic Stem Cell Derivation.

Alternate Accession IDs

E-GEOD-87793

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE43682
Transcriptome of mouse pluripotent embryonic stem cells (mESC) cultured in R2i, 2i, PD and SB conditions
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

In this study we have analyzed the global gene expression of nave mouse embryonic stem cells in different culture conditions including R2i (PD0325901+SB431542), 2i (PD0325901+CHIR99021), and also PD0325901+LIF and SB431542+LIF to show the similarities and differences between the conditions in maintaining pluripotency.

Publication Title

Inhibition of TGFβ signaling promotes ground state pluripotency.

Alternate Accession IDs

E-GEOD-43682

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE57542
Expression data measured by Nanostring and microarray of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or IFN-beta, or left unstimulated
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Common genetic variants modulate pathogen-sensing responses in human dendritic cells.

Alternate Accession IDs

E-GEOD-57542

Sample Metadata Fields

Sex, Age, Race, Subject

View Samples
accession-icon GSE36139
SNP and Expression data from the Cancer Cell Line Encyclopedia (CCLE)
  • organism-icon Homo sapiens
  • sample-icon 882 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

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Alternate Accession IDs

E-GEOD-36139

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE36133
Expression data from the Cancer Cell Line Encyclopedia (CCLE)
  • organism-icon Homo sapiens
  • sample-icon 882 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Cancer Cell Line Encyclopedia (CCLE) project is a collaboration between the Broad Institute, the Novartis Institutes for Biomedical Research and the Genomics Novartis Foundation to conduct a detailed genetic and pharmacologic characterization of a large panel of human cancer models

Publication Title

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Alternate Accession IDs

E-GEOD-36133

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17312
BI Human Reference Epigenome Mapping Project
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.

Publication Title

The NIH Roadmap Epigenomics Mapping Consortium.

Alternate Accession IDs

E-GEOD-17312

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

View Samples
accession-icon GSE5258
Connectivity Map dataset (build01)
  • organism-icon Homo sapiens
  • sample-icon 346 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A reference collection of genome-wide transcriptional expression data for bioactive small molecules.

Publication Title

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Alternate Accession IDs

E-GEOD-5258

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26863
MMRC expression and aCGH reference collection
  • organism-icon Homo sapiens
  • sample-icon 299 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

Initial genome sequencing and analysis of multiple myeloma.

Alternate Accession IDs

E-GEOD-26863

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE26760
MMRC expression reference collection
  • organism-icon Homo sapiens
  • sample-icon 299 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community.

Publication Title

Initial genome sequencing and analysis of multiple myeloma.

Alternate Accession IDs

E-GEOD-26760

Sample Metadata Fields

Specimen part

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

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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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