Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single Cell RNA sequence data from a human ovarian cancer sample

ABSTRACT: Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. Amplifed cDNA was sequenced using an Illumina HiSeq 2500 machine. Results: Single cell RNA sequence data was obtained for 92 cells and a "bulk" sample of 1000 cells. 26 cells were removed from analysis due to quality control standards. The remaining 66 cells and the bulk sample were analyzed. Conclusion: Single cell RNA sequence analysis reveals heterogeneity in gene expression in cells harvested from a high grade ovarian serous cancer

ORGANISM(S): Homo sapiens

PROVIDER: GSE123476 | GEO | 2018/12/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Developmental and molecular heterogeneity of mouse hematopoietic stem cells

Project description:This study aims to investigate the developmental and molecular heterogeneity of mouse hematopoietic stem cell (mHSC). The genome-wide transcriptomic heterogeneity in wildtype and Bcl11a deficient mHSC will be stuided by single-cell mRNA sequencing technology. Brief protocol:Adult mouse LSK HSC is harvested from femur and FACS purified by surface markers CD48-, CD150+. Single cell capture and cDNA preparation are performed by Fluidigm C1 microfluidic system according to manufacturer protocol. Library is prepared by Illumina Nextera XT kit.

2015-06-24 | E-ERAD-407 | biostudies-arrayexpress

A single-cell genomic strategy for alternative TSSs identification [scTSS-seq]

Project description:Alternative transcription start sites (TSSs) usage plays a critical role in gene transcription regulation in mammals. However, precisely identifying alternative TSSs remains challenging at the genome-wide level. Here, we report a single-cell genomic technology for alternative TSSs annotation and cell heterogeneity detection. Here, we utilize Fluidigm C1 system to capture individual cells of interest, SMARTer cDNA synthesis kit to recover full-length cDNA, then dual priming oligonucleotide system to specifically enrich 5’-end tags for genomic analysis.

2023-01-01 | GSE174479 | GEO

Single cell RNA sequencing analysis of mouse skin samples with multiple conditions (10x scRNA-seq)

Project description:Single cell RNA sequencing of embryonic mouse dorsolateral skin were microdissected. All live cells were collected and submitted in bulk for droplet-based cDNA library preparation (9000 cells/sample)

2022-04-13 | GSE198487 | GEO

RNA-seq of mixed mouse glomerular mesangial and endothelial cells

Project description:There are 3 cell types in a glomerulus: podocytes, mesangial cells and endothelial cells. These cell types play distinct roles in the structure and functions of glomeruli. In order to profile the gene expression of single glomerular cells, we isolated mouse glomeruli by Dynabead/magnetic concentration method and digested them with enzymes to dissociate them into single cells. We loaded the single cell suspension to a Fluidigm C1 Single-Cell Auto Prep System for single cell cDNA preparation. We performed qPCR analyses of marker genes of podocytes (Npsh2, Synaptopodin, WT1), mesangial cells (Gata3, IGFbp5) and endothelial cells (CD31, Tie2) to determine the identity of each cDNA sample. To identify podocyte-specific genes, we mixed 15 mesangial cell cDNA samples and 15 endothelial cell cDNA samples and further divided into 3 aliquots as replicates for sequencing using Illumina HiSeq 2000 system. The resulting data are used to compare with that of podocytes in order to identify podocyte-specific genes.

2017-07-31 | GSE89263 | GEO

Single-cell RNA-sequencing of organoid derived from colon cancer stem cells

Project description:To identify the tumor heterogeneiety among a single organoid that recapitulate the human colon cancer tissues, we put a single organoid derived from single colon cancer stem cells into single-cell RNA-sequencing. Isolated single cells were processed with Fluidigm C1 Single Cell Auto Prep system. 71 cells and one bulk control were sequenced using HiSeq2500.

2021-03-01 | GSE140897 | GEO

Quantitative assessment of single-cell RNA sequencing methods

Project description:We generated single-cell transcriptomes from a large number of single cells using several commercially available platforms, in both microliter and nanoliter volumes, and compared performance between them. We benchmarked each method to conventional RNA-seq of the same sample using bulk total RNA, as well as to multiplexed qPCR, which is the current gold standard for quantitative single-cell gene expression analysis. In doing so, we were able to systematically evaluate the sensitivity, precision, and accuracy of various approaches to single-cell RNA-seq. Our results show that it is possible to use single-cell RNA-seq to perform quantitative transcriptome measurements of individual cells, that it is possible to obtain quantitative and accurate gene expression measurements with a relatively small number of sequencing reads, and that when such measurements are performed on large numbers of cells, one can recapitulate the bulk transcriptome complexity, and the distributions of gene expression levels found by single-cell qPCR. 109 single-cell human transcriptomes were analyzed in total; 96 using nanoliter volume sample processing on a microfluidic platform, Nextera library prep (biological replicates); 3 using the SMARTer cDNA synthesis kit, Nextera library prep (biological replicates); 3 using the Transplex cDNA synthesis kit, Nextera library prep (biological replicates); 7 using the Ovation Nugen cDNA synthesis kit (biological replicates) where 3 used Nextera library prep and 4 used NEBNext library prep. In addition, 4 bulk RNA samples were sequenced: bulk RNA generated using ~1 million pooled cells was used to make bulk libraries, 2 of which were made using SMARTer cDNA synthesis kit (technical replicates) and 2 made using Superscript RT kit with no amplification (technical replicates). All 4 bulk samples were made into libraries using Nextera.

2013-10-20 | E-GEOD-51254 | biostudies-arrayexpress

Single cell RNA-seq of 186 basal and luminal epithelial cells from the mammary gland of adult mice

Project description:Mammary glands of 8 adult (10 week-old) female mice were collected. Freshly sorted basal and luminal epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina Hiseq 2000 to achieve 100bp paired-end reads.

2017-11-20 | GSE95432 | GEO

Single cell RNA-seq of 444 epithelial cells from the mammary glands of pubescent and adult mice

Project description:Mammary glands were collected from 8 pubescent (4.7-4.9 week-old) female mice and 8 adult (10 week old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads.

2017-11-20 | GSE95445 | GEO

Snapshot and temporal scRNA-seq of progenitor cells to dissect human embryonic stem cells entry into endoderm progenitors

Project description:Human pluripotent stem cells (hPSCs) offer a unique cellular model to study lineage specifications of the primary germ layers during human development. We profiled single-cell RNA-seq (scRNA-seq) on four lineage-specific progenitor cells derived from hESCs. Our scRNA-seq analyses revealed each type of progenitors display various extend of heterogeneity. Specifically, definitive endoderm cells (DECs) not only show a greater degree of heterogeneity, but are also enriched in metabolic signatures. Followed by detailed temporal scRNA-seq profiling along DEC differentiation, we reconstructed a differentiation trajectory using a novel statistical pipeline named Wave-Crest. Wave-Crest further identifies candidate regulators during the transitioning phase from Brachyury (T)+ mesendoderm towards CXCR4+ DEC state. To functionally test identified novel regulators; we generated a live cell monitoring system, a T-2A-EGFP knock-in reporter cell line via CRISPR/CAS9. We demonstrated that, among the top candidate genes, KLF8 plays a pivotal role modulating mesendoderm to DEC differentiation. In this submission, 1810 raw fastq files are provided; 212 are re-analysis from GSE64016. Four expected count matrices are provided - 1) 1018 single cells from snapshot progenitors; 2) 758 single cells from time couse profiling; 3) 19 bulk RNA-seq sample from snapshot progenitors; 4) 15 bulk RNA-seq sample from time course profiling. Total 1018 single cells from snapshot progenitors and 758 single cells from time couse profiling. Matchd population bulk RNA-seq samples for both the progenitors snapshot (19 samples) and time course profiling (15 samples) also included in this submission. These data set are used to detect the transitioning phase from mesendoderm to definitive endoderm.

2016-07-21 | E-GEOD-75748 | biostudies-arrayexpress

Single cell RNA-seq of 312 basal epithelial cells from the mammary glands of pregnant and adult mice

Project description:Mammary glands were collected from 8 pregnant (12.5 day) mice and 8 adult (10 week old) female mice. Basal epithelial cells were FACS sorted. Freshly sorted cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads.

2017-11-20 | GSE95448 | GEO

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