GEO DataSets

(Submitter supplied) Single cell RNA-seq of the human alveolar rhabdomyosarcoma cell line Rh41. We also inlcude a bulk RNA-seq study of unsorted and sorted cells using CD44 as a marker

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

10 Samples

Download data: MTX, TSV, TXT

(Submitter supplied) Bulk ATAC-seq and RNA-seq on sorted retinal cells from Chx10:GFP reporter mice

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

25 Samples

Download data: TSV

(Submitter supplied) The goal of this study is to discover fibroblast subpopulations relevant to recessive dystrophic epidermolysis bullosa

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL15520

543 Samples

Download data: TXT

(Submitter supplied) Single cell genomics is essential to chart tumor ecosystems. While single cell RNA-Seq (scRNA-Seq) profiles RNA from cells dissociated from fresh tumors, single nucleus RNA-Seq (snRNA-Seq) is needed to profile frozen or hard-to-dissociate tumors. Each requires customization to different tissue and tumor types, posing a barrier to adoption. Here, we developed a systematic toolbox for profiling fresh and frozen clinical tumor samples using scRNA-Seq and snRNA-Seq, respectively. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20795

40 Samples

Download data: CSV, H5

(Submitter supplied) colonic adenoma and adjacent normal from Lrig1-creERT2;Apc-fl/+ mouse

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19057

2 Samples

Download data: CSV

(Submitter supplied) WT untreated C57Bl6 mouse

Organism:

Mus musculus; Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL19415 GPL19057

3 Samples

Download data: CSV

(Submitter supplied) Considerable effort has been devoted to refining experimental protocols having reduced levels of technical variability and artifacts in single-cell RNA-sequencing data (scRNA-seq). We here present evidence that equalizing the concentration of cDNA libraries prior to pooling, a step not consistently performed in single-cell experiments, improves gene detection rates, enhances biological signals, and reduces technical artifacts in scRNA-seq data. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21290

288 Samples

Download data: CSV

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL11154 GPL20301 GPL18573

337 Samples

Download data: MTX, TSV

(Submitter supplied) The goal of this study is to apply the SAKE algorithms to identify drug-resistant cellular populations as human melanoma cells respond to targeted BRAF inhibitors. Single-cell RNA-Seq data from 10x Genomics platform was analyzed to dissect this problem at multiple scales. Data indicates that BRAF inhibitor resistant cells can emerge from rare populations already present before drug application, with SAKE identifying both novel and known markers of resistance

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

2 Samples

Download data: MTX, TSV

(Submitter supplied) The goal of this study is to apply the SAKE algorithms to identify drug-resistant cellular populations as human melanoma cells respond to targeted BRAF inhibitors. Single-cell RNA-Seq data from both the SMART-seq/Fluidigm and 10x Genomics platforms were analyzed to dissect this problem at multiple scales. Data from both platforms indicate that BRAF inhibitor resistant cells can emerge from rare populations already present before drug application, with SAKE identifying both novel and known markers of resistance

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

327 Samples

Download data: TXT

(Submitter supplied) The goal of this study is to apply the SAKE algorithms to identify drug-resistant cellular populations as human melanoma cells respond to targeted BRAF inhibitors. Single-cell RNA-Seq data from both the SMART-seq/Fluidigm and 10x Genomics platforms were analyzed to dissect this problem at multiple scales. Data from both platforms indicate that BRAF inhibitor resistant cells can emerge from rare populations already present before drug application, with SAKE identifying both novel and known markers of resistance

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

8 Samples

Download data: TXT

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Homo sapiens; Canis lupus familiaris; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26863

2 Samples

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Mus musculus; Homo sapiens; Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26865

1 Sample

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Homo sapiens; Canis lupus familiaris; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26866

16 Samples

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Mus musculus; Homo sapiens; Canis lupus familiaris

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26866

2 Samples

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Homo sapiens; Canis lupus familiaris; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24142

1 Sample

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Canis lupus familiaris; Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26867

8 Samples

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Canis lupus familiaris; Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26866

4 Samples

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Canis lupus familiaris; Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24142

12 Samples

Download data: TSV

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) is the leading technique for charting the molecular properties of individual cells. The latest methods are scalable to thousands of cells, enabling in- depth characterization of sample composition without prior knowledge. However, there are important differences between scRNA-seq techniques, and it remains unclear which are the most suitable protocols for drawing cell atlases of tissues, organs and organisms. more...

Organism:

Canis lupus familiaris; Mus musculus; Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL26865

4 Samples

Download data: TSV