GEO DataSets

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

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL19057 GPL18573 GPL19415

87 Samples

Download data: TSV

(Submitter supplied) We developed the first droplet-based single-cell total-RNA-seq method. We refer to this platform as Multiple Annealing and Tailing-based Quantitative scRNA-seq in Droplet (MATQ-Drop). With the detection of nascent RNA species, we showed that the cell atlas of human brain samples could be effectively constructed based on nascent RNA species. Furthermore, we observed that only lncRNA species are sufficient to construct the cell atlas, suggesting that MATQ-Drop allows a large-scale identification of the cell-type-specific lncRNA species. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL19057

40 Samples

Download data: TSV

(Submitter supplied) We developed the first droplet-based single-cell total-RNA-seq method. We refer to this platform as Multiple Annealing and Tailing-based Quantitative scRNA-seq in Droplet (MATQ-Drop). With the detection of nascent RNA species, we showed that the cell atlas of human brain samples could be effectively constructed based on nascent RNA species. Furthermore, we observed that only lncRNA species are sufficient to construct the cell atlas, suggesting that MATQ-Drop allows a large-scale identification of the cell-type-specific lncRNA species. more...

Organism:

Mus musculus; Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platforms:

GPL19415 GPL18573

47 Samples

Download data: TSV

(Submitter supplied) Abstract: The recently developed droplet-based single cell transcriptome sequencing (scRNA-seq) technology makes it feasible to perform a population-scale scRNA-seq study, in which the transcriptome is measured for tens of thousands of single cells from multiple individuals. Despite the advances of many clustering methods, there are few tailored methods for population-scale scRNA-seq studies. Here, we develop a BAyesian Mixture Model for Single Cell sequencing (BAMM-SC) method to cluster scRNA-seq data from multiple individuals simultaneously. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL18573 GPL19057

11 Samples

Download data: MTX, TSV

(Submitter supplied) Here we compare the performance of these three approaches (inDrop, Drop-seq and 10x) using the same kind of sample with a unified data processing pipeline. We generated 2-3 replicates for each method using lymphoblastoid cell line GM12891. The average sequencing depth was around 50-60k reads per cell barcode. We also developed a versatile and rapid data processing workflow and applied it for all datasets. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20301

7 Samples

Download data: TXT

(Submitter supplied) We report here a new single-cell RNA-seq assay, Multiple Annealing and dC-Tailing based Quantitative single-cell RNA-seq (MATQ-seq), which provides the accuracy and sensitivity that enable the detection of transcriptional variations existing in single cells of the same type. We performed a systematic characterization of the technical noise using pool-and-split averaged single-cell samples and showed that the biological variations in single cells were observed with statistical significance.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

91 Samples

Download data: DAT, TXT

(Submitter supplied) A key limitation in single cell genomics is generating a high-quality single cell suspension that contains rare or difficult to dissociate cell types and is free of RNA degradation or transcriptional stress responses. Samples with unpredictable availability or that must be collected at several timepoints present additional challenges. Using adult mouse kidney, we compared single-cell RNA sequencing (scRNA-seq) data generated using DropSeq with snRNA-seq data generated from nuclei using sNuc-DropSeq, DroNc-seq and 10X Chromium. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

5 Samples

Download data: TXT

(Submitter supplied) Single-cell RNA sequencing (scRNA-seq) methods generate sparse gene expression profiles for thousands of single cells in a single experiment. The information in these profiles is sufficient to classify cell types by distinct expression patterns but the high complexity of scRNA-seq libraries prevents full characterization of transcriptomes from individual cells. To generate more focused gene expression information from scRNA-seq libraries, we developed a strategy to physically recover the DNA molecules comprising transcriptome subsets, enabling deeper interrogation of the isolated molecules by another round of DNA sequencing. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

5 related Platforms

13 Samples

Download data: JSON, TSV, TXT

(Submitter supplied) Single-cell RNA-seq measurements of the normal mouse bone marrow cells using inDrop protocol

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL19057

1 Sample

Download data: CSV

(Submitter supplied) Transcriptomic profiling of complex tissues by single-nucleus RNA-sequencing (snRNA-seq) affords some advantages over single-cell RNA-sequencing (scRNA-seq). snRNA-seq provides less biased cellular coverage, does not appear to suffer cell isolation-based transcriptional artifacts, and can be applied to archived frozen specimens. We used well-matched snRNA-seq and scRNA-seq datasets from mouse visual cortex to compare cell type detection. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

956 Samples

Download data: CSV, XLS

(Submitter supplied) Aging results in both grey and white matter degeneration, but the specific microglial responses are unknown. Using single-cell RNA sequencing from white and grey matter separately, we identified white matter associated microglia (WAM), which share parts of the disease-associated microglia (DAM) gene signature and are characterized by the activation of genes implicated in phagocytic activity and lipid metabolism. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL28457 GPL21103

1047 Samples

Download data: TSV

(Submitter supplied) Brain-immune crosstalk and neuroinflammation critically shape brain physiology in health and disease. A detailed understanding of the brain immune landscape is essential for developing new treatments for many neurological disorders. Single-cell technologies offer an unbiased assessment of the heterogeneity, dynamics and functions of immune cells. Here, we provide a protocol that outlines all the steps involved for performing single-cell multi-omic analysis of the brain immune compartment. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing; Other

Platform:

GPL24247

2 Samples

Download data: CSV, H5

(Submitter supplied) To facilitate scalable profiling of single cells, we developed Split Pool Ligation-based Transcriptome sequencing (SPLiT-seq), a single-cell RNA-seq (scRNA-seq) method that labels the cellular origin of RNA through combinatorial barcoding. SPLiT-seq is compatible with fixed cells or nuclei, allows efficient sample multiplexing and requires no customized equipment. We used SPLiT-seq to analyze 156,049 single-nucleus transcriptomes from postnatal day 2 and 11 mouse brains and spinal cords. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL24625 GPL21626

6 Samples

Download data: MAT

(Submitter supplied) We developed a new single cell sequencing method to simultaneously sequence methylome and transcriptome for mouse DRG neurons

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing

Platforms:

GPL16417 GPL13112

192 Samples

Download data: TXT

(Submitter supplied) Specific mRNAs are transported from the cell body to synapses where their translation can modify communication of pre-existing synapses and induce formation of new synaptic connections in response to learning. Little is known, however, about the identity of the RNAs that are actively transported and when and how these RNAs are utilized during learning. By focusing on RNAs that are associated with kinesin, a motor protein that transports gene products from the cell body to synapses, we have now applied microarrays and 454 sequencing to identify actively transported RNAs from the Aplysia central nervous system. more...

Organism:

Aplysia californica

Type:

Expression profiling by array

Platforms:

GPL3636 GPL3635

2 Samples

Download data: TXT

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

Organism:

Aplysia californica

Type:

Expression profiling by array

Platform:

GPL13815

24 Samples

Download data

(Submitter supplied) Whole genome transcriptional profiling is used to compare ESTs found in cell bodies and processes of Aplysia sensory neurons RNA samples derived from cell bodies or processes of Aplysia single cultured sensory neurons were hybridized to custom Aplysia EST microarrays.

Organism:

Aplysia californica

Type:

Expression profiling by array

Platform:

GPL13815

8 Samples

Download data: TXT

(Submitter supplied) Whole genome transcriptional profiling is used to compare ESTs found in cell bodies and processes of Aplysia motor neurons RNA samples derived from cell bodies or processes of Aplysia single cultured motor neurons were hybridized to custom Aplysia EST microarrays.

Organism:

Aplysia californica

Type:

Expression profiling by array

Platform:

GPL13815

8 Samples

Download data: TXT

(Submitter supplied) Whole genome transcriptional profiling is used to identify ESTs found in RNA co-immunoprecipitated from Aplysia CNS with antibodies against Aplysia Kinesin Heavy Chain (ApKHC) RNA derived from Aplysia CNS served as control in the opposite channel. Custom Aplysia EST array to probe the samples was designed and ordered from Agilent.

Organism:

Aplysia californica

Type:

Expression profiling by array

Platform:

GPL13815

8 Samples

Download data: TXT

(Submitter supplied) Single-cell whole-transcriptome analysis is a powerful tool for quantifying gene expression heterogeneity in populations of cells. Many techniques have, thus, been recently developed to perform transcriptome sequencing (RNA-Seq) on individual cells. To probe subtle biological variation between samples with limiting amounts of RNA, more precise and sensitive methods are still required. We adapted a previously developed strategy for single-cell RNA-Seq that has shown promise for superior sensitivity and implemented the chemistry in a microfluidic platform for single-cell whole transcriptome analysis. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

102 Samples

Download data: TXT