Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A comparison between single cell RNA sequencing and single molecule RNA FISH for rare cell analysis

ABSTRACT: We use single molecule RNA FISH measurements of 26 genes in thousands of melanoma cells to provide an independent reference dataset to assess the performance of the DropSeq and Fluidigm single cell RNA sequencing platforms. We quantified the Gini coefficient, a measure of rare-cell expression variability, and find that the correspondence between RNA FISH and single cell RNA sequencing for Gini, unlike for mean, increases markedly with per-cell library complexity up to a threshold of ~2000 genes detected. A similar complexity threshold also allows for robust assignment of multi-genic cell states such as cell cycle phase.

ORGANISM(S): Homo sapiens

PROVIDER: GSE99330 | GEO | 2017/05/26

SECONDARY ACCESSION(S): PRJNA388108

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Advantages of single nucleus over single cell RNA-seq in adult kidney

Project description: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. We validated snRNA-seq on fibrotic kidney from day 14 unilateral ureteral obstruction (UUO).

2018-10-13 | GSE119531 | GEO

scRNAseq from spinal cords of SOD1-G93A and WT mice

Project description:We prepared spinal cords from SOD1-G93A and WT mice treated with vehicle or the RIPK1 inhibitor Nec-1s, which were single cell RNA sequenced using the DropSeq protocol.

2021-03-24 | GSE167198 | GEO

Molecular Mechanisms Driving Switch Behavior in Xylem Cell Differentiation

Project description:Single cell sequencing (DropSeq) from 7 day old Arabidopsis roots with β-estradiol-VND7, MYB83 and MYB46 induction lines and controls

2019-06-26 | GSE114615 | GEO

Single Cell RNA sequencing (DropSeq) of esophageal adenocarcinoma and matched normal samples

Project description:Single Cell RNA sequencing (DropSeq) of esophageal adenocarcinoma and matched normal samples

| PRJNA727596 | ENA

A cost effective single cell RNA sequencing approach for the Fluidigm C1

Project description:A cost effective single cell RNA sequencing approach for the Fluidigm C1

| PRJNA315001 | ENA

Drosophila melanogaster

Project description:Single cell RNA-seq of Drosophila gastrula by using Fluidigm C1 HT

| PRJDB11328 | ENA

RNA-SEQ analysis of single cells extracted from E12.5 embryonic kidneys.

Project description:We used micro-dissection and trypsinization techniques to isolate single cells from the E12.5 total kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. E12.5 kidneys are dissected; the kidneys are made into a single cell suspension via trypsinization. A subset of these cells is analysed individually via Fluidigm C1 single cell analysis. The long term goal is to generate a single cell resolution transcriptional atlas of the developing kidney.

2014-08-01 | E-GEOD-59127 | biostudies-arrayexpress

Fluidigm single-cell RNA-seq analysis for gene signatures associated with T-cell persistence

Project description:Fluidigm single-cell RNA-seq analysis for gene signatures associated with T-cell persistence

| PRJNA562867 | ENA

RNA-SEQ analysis of single cells extracted from the renal vesicles of Crym-EGFP transgenic post natal day 4 (P4) mice.

Project description:We used micro-dissection with FACS sorting techniques to isolate renal vesicle single cell types from post natal (P4) kidneys. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. Kidneys are harvested from Tg(Crym-EGFP)GF82Gsat mice. Single cells are extracted from P4 renal vesicles using micro-dissection with FACS sorting techniques. A subset of these cells is analyzed individually via Fluidigm single cell analysis. The long term goal is to generate a transcriptional atlas of the developing kidney.

2014-08-01 | E-GEOD-59130 | biostudies-arrayexpress

RNA-SEQ analysis of single cells extracted from the metanephric mesenchyme of Embryonic day 11.5 (E11.5) Crym-EGFP transgenic mice.

Project description:We used micro-dissection with FACS sorting techniques to isolate single cells from the metanephric mesenchyme of the E11.5 developing kidney. A subset of these single cell populations is analysed individually via Fluidigm single cell analysis. This analysis will determine the transcriptional profile of each cell type, identify compartment specific transcripts, compartment specific transcript isoforms and cell-type specific long-noncoding RNAs. In addition the unbiased nature of RNA-SEQ will potentially identify novel transcripts that have not been annotated in the database. Kidneys are harvested from Tg(Crym-EGFP)GF82Gsat mice. Single cells are extracted from E11.5 metanephric mesenchyme using manual micro-dissection techniques. A subset of these cells is analyzed individually via Fluidigm single cell analysis. The long term goal is to generate a transcriptional atlas of the developing kidney.

2014-08-01 | E-GEOD-59129 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data