GEO DataSets

(Submitter supplied) Single cell RNA sequencing so far only depicts cellular transcriptomes at a single time point with low temporal resolution for kinetic changes. Here, we present a single-cell approach based on metabolic RNA labelling for combined sequencing of total and newly transcribed RNA as well as computational analysis of the RNA present prior to labelling. We apply it to cytomegalovirus infection of fibroblasts and reveal its potential for delineating alterations in transcriptional activity and decay in single cells under perturbed experimental conditions.

Organism:

Homo sapiens; Mus musculus; Murid betaherpesvirus 1

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL25867 GPL25526 GPL19057

124 Samples

Download data: H5, TSV, TXT

(Submitter supplied) Transcription is the primary regulatory step in gene expression coordinating the coding and non-coding genomic regions across space and time. Divergent initiation of transcription from promoters and enhancers produces stable RNAs from genes and unstable RNAs from enhancers. Nascent RNA capture and sequencing assays simultaneously measure gene and enhancer activity from cell populations. However, the lack of single-cell resolved view of active transcription has left fundamental questions in gene regulation unanswered. more...

Organism:

Mus musculus

Type:

Other

Platforms:

GPL19057 GPL24247

82 Samples

Download data: BED, RDS

(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) The development of high-throughput single-cell RNA-sequencing (scRNA-Seq) methodologies has empowered the characterization of complex biological samples by dramatically increasing the number of constituent cells that can be examined concurrently. Nevertheless, these approaches typically recover substantially less information per-cell as compared to lower-throughput microtiter plate-based strategies. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL19415 GPL18573

438 Samples

Download data: CSV, TXT

(Submitter supplied) Single-cell RNA sequencing reveals the transcriptional heterogeneity of single cells, but offers static snapshots of gene expression and fails to reveal the temporal dynamics of transcription. Herein, we develop Well-TEMP-seq, a high-throughput, cost-effective, accurate, and efficient method for massively parallel profiling the time-resolved dynamics of single-cell gene expression. Well-TEMP-seq combines metabolic RNA labeling with our recently developed microwell-based single-cell RNA sequencing method (Well-Paired-seq) to distinguish newly transcribed RNAs marked by T-to-C substitutions from pre-existing RNAs in each of thousands of single cells. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL20795

12 Samples

Download data: RDS, TXT

(Submitter supplied) Sequencing of newly synthesized RNA can monitor transcriptional dynamics with great sensitivity and high temporal resolution, but is currently restricted to populations of cells. Here, we develop new transcriptome alkylation-dependent single-cell RNA sequencing (NASC-seq), to monitor newly synthesized and pre-existing RNA in single cells. We validate the method on pre-alkylated RNA, and by demonstrating that more newly synthesized RNA was detected for genes with known high mRNA turnover. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

784 Samples

Download data: CSV

(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) To understand the molecular mechanisms of neural commitment from mouse ESCs, we selected very dense time points during neural differentiation based on qPCR results and performed mRNA-sequencing at both of cell population and single cell levels.

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

113 Samples

Download data: TXT

(Submitter supplied) Single-cell RNA sequencing offers snapshots of whole transcriptomes but obscures the temporal RNA dynamics. Here we present single-cell metabolically labeled new RNA tagging sequencing (scNT-Seq), a method for massively parallel analysis of newly-transcribed and pre-existing mRNAs from the same cell. This droplet microfluidics-based method enables high-throughput chemical conversion on barcoded beads, efficiently marking newly-transcribed mRNAs with T-to-C substitutions. more...

Organism:

Homo sapiens; Mus musculus

Type:

Expression profiling by high throughput sequencing

Platforms:

GPL19057 GPL18573 GPL19415

38 Samples

Download data: TXT

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

Organism:

Mus musculus; synthetic construct

Type:

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

Platforms:

GPL19604 GPL17021

141 Samples

Download data: TSV, TXT

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

6 Samples

Download data: TSV

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL17021

6 Samples

Download data: TXT

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

18 Samples

Download data: TSV

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

18 Samples

Download data: TSV

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

18 Samples

Download data: TSV

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

6 Samples

Download data: TSV

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

6 Samples

Download data: TXT

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

Mus musculus

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17021

27 Samples

Download data: BED, TSV

(Submitter supplied) Gene expression profiling by high-throughput sequencing reveals qualitative and quantitative changes in RNA species at steady-state but obscures the intracellular dynamics of RNA transcription, processing and decay. We developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAM-seq), an orthogonal chemistry-based epitranscriptomics-sequencing technology that uncovers 4-thiouridine (s4U)-incorporation in RNA species at single-nucleotide resolution. more...

Organism:

synthetic construct

Type:

Other

Platform:

GPL19604

36 Samples

Download data: TXT