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accession-icon GSE42253
Gene expression data from T cells and NK cells with and without treatment with Hsp90 inhibitor (Geldanamycin)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hsp90 is critical for regulation of the phenotype and functional activity of human T lymphocytes and natural killer (NK) cells.

Publication Title

Heat shock protein 90 is critical for regulation of phenotype and functional activity of human T lymphocytes and NK cells.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP155526
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [I]
  • organism-icon Mus musculus
  • sample-icon 49 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP155525
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [II]
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP155523
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [III]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq. This series includes uninfected, non-transformed MEFs.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP155519
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [VI]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP156930
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [IX]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq. This series includes reprogrammed MEFs with Myod1, day 7.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP155520
Reprogram-Seq: A platform for single-cell combinatorial reprogramming [VII]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

Reprogram-Seq leverages organ-specific cell atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Overall design: Focusing on the cardiac system, we performed Reprogram-Seq on P0 mouse heart cells to generate a reference transcriptomic map. Based on the reference map, we selected TF candidates and tests 1000s of TF cocktails for direct lineage conversion by scRNA-Seq.

Publication Title

Rational Reprogramming of Cellular States by Combinatorial Perturbation.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP158618
Using Gjd3-CreEGFP mice to examine atrioventricular node morphology and composition
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconNextSeq 500

Description

Gjd3-CreEGFP mice is a novel genetic tool to study the structural and molecular signatures of Atrioventricular Node (AVN) at a high resolution. Overall design: Focusing on the cardiac conduction system, we developed and rigorously characterized a geentic tool Gjd3-CreEGFP to perform in-depth analysis of AVN structure and composition. Utilizing this AVN-specific mouse model, we performed scRNA-Seq on neonatal Gjd3-CreEGFP mice to guide our single-cell atlas of the Atrio-ventricular conduction system (AVCS).

Publication Title

Using Gjd3-CreEGFP mice to examine atrioventricular node morphology and composition.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE15320
Microarray analysis of therapeutic (GM4) and non therapeutic (GM) NOD DC
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We have previously demonstrated that bone marrow-derived DC can prevent diabetes development and halt progression of insulitis in NOD mice, the mouse model of type 1 diabetes (T1D). The DC population that was most effective in this therapy had a mature phenotype, expressed high levels of costimulatory molecules and secreted low levels of IL-12p70. The protective DC therapy induced regulatory Th2 cells that shifted the dominant Th1 environment, present in NOD mice, to a mixed Th1/Th2 milieu. Microarray analysis of therapeutic and non-therapeutic DC populations revealed several novel molecules that could play important roles in the observed DC-mediated therapy. The therapeutic DC population expressed a unique pattern of costimulatory molecules and chemokines, which were confirmed by flow cytometry and ELISA assays. We have performed in vitro chemotaxis assays that demonstrated the therapeutic DC preferentially attracted Th2 cells, as compared to Th1, Treg or nave T cells. In addition we quantified the in vivo migration of activated islet-specific T cells to the pancreas using novel cell labeling techniques and 19F nuclear magnetic resonance. A subcutaenous injection of therapeutic DC alters the migration of both Th1 and Th2 cells to the pancreas, and Th1 cells appeared in the lymph node draining the site of DC injection. These results suggest that the therapeutic function of DC is mediated in part by the chemoattractive properties of these DC for diabetogenic Th1 cells.

Publication Title

Gene expression analysis of dendritic cells that prevent diabetes in NOD mice: analysis of chemokines and costimulatory molecules.

Sample Metadata Fields

Sex

View Samples
accession-icon SRP051401
Human Schlafen 5 (SLFN5) is a Regulator of Motility and Invasiveness of Renal Cell Carcinoma (RCC) Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

There is some emerging evidence that members of the Schlafen (SLFN) family of proteins mediate antineoplastic responses, but the mechanisms accounting for these effects are not known. We provide evidence that human SLFN5, an interferon (IFN)- inducible member of the family, exhibits key roles in controlling motility and invasiveness of renal cell carcinoma (RCC) cells. Our studies define the mechanism by which this occurs, demonstrating that SLFN5 negatively controls expression of matrix metalloproteinases (MMP)-1 and -13 and several other genes involved in the control of malignant cell motility. Importantly, our data establish that SLFN5 expression correlates with a better overall survival in a large cohort of patients with RCC. The inverse relationship between SLFN5 expression and RCC aggressiveness raises the possibility of developing unique therapeutic approaches in the treatment of RCC, by modulating SLFN5 expression. Overall design: Examination of 2 SLFN5 knockdown cells and 2 controls, in triplicate.

Publication Title

Human Schlafen 5 (SLFN5) Is a Regulator of Motility and Invasiveness of Renal Cell Carcinoma Cells.

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)

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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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