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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 GSE19314
Sarcoidosis-specific markers from whole blood gene expression
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We hypothesized that microarray analyses of whole blood gene expression would identify patterns of gene expression useful in the diagnosis for sacroidosis and identify inflammatory mediators relevant to the underlying pathophysiology.

Publication Title

Sarcoidosis blood transcriptome reflects lung inflammation and overlaps with tuberculosis.

Sample Metadata Fields

Sex, Disease, Race

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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 GSE43288
Molecular analysis of precursor lesions in familial pancreatic cancer
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: With less than a 5% survival rate pancreatic adenocarcinoma (PDAC) is almost uniformly lethal. In order to make a significant impact on survival of patients with this malignancy, it is necessary to diagnose the disease early, when curative surgery is still possible. Detailed knowledge of the natural history of the disease and molecular events leading to its progression is therefore critical.

Publication Title

Molecular analysis of precursor lesions in familial pancreatic cancer.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE14701
Expression profiling of PaTu8988s and PaTu8988t cell lines
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarray to look at the genes deregulated in PaTu8988s (adenovirus insensitive) and PaTu8988t (adenovirus sensitive) cell lines

Publication Title

CEACAM6 attenuates adenovirus infection by antagonizing viral trafficking in cancer 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)

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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