Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Pan-cancer single cell RNA-seq analysis of cell lines

ABSTRACT: To understand the diversity of expression states in cancer cell lines, we profiled 198 cancer cell lines by single-cell RNA-seq with 10X chromium.

ORGANISM(S): Homo sapiens

PROVIDER: GSE157220 | GEO | 2020/09/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single cell gene expression, immune receptor and cell surface marker expression profiling of Spike-specfic splenic T and B cells of immunized mice

Project description:Spike-specific T and B cells from splenocytes of immunized mice were profiled with 10x sequencing for gene expression (Chromium Next Automated GEM 5’ v2 kit), cell surface marker (Chromium Automated 5’ Feature Barcode kit) and immune receptor (Chromium Automated Mouse BCR/TCR Amplification and Library Construction kit)

2023-08-07 | GSE222403 | GEO

Single cell profiling of a Caki-1:HeLa cell mixture by scATAC-seq and scGET-seq

Project description:A mixture of Caki-1 and HeLa cells in known proportions (80:20) is profiled using 10x Chromium scATAC-seq or scGET-seq protocols.

2021-08-17 | E-MTAB-9650 | biostudies-arrayexpress

Single-cell RNA sequencing of human liver cells

Project description:To examine the heterogeneity and dynamic crosstalk of human liver cells, ~18,000 freshly isolated human liver cells from 6 donors were profiled using the 10x Genomics Chromium platform.

2021-09-29 | E-MTAB-10553 | biostudies-arrayexpress

Characterization of heterogeneity in gastric cancer cells derived from independent lineages at single-cell resolution

Project description:Analysis of genomic and transcriptomic profiling has proposed new insights for diagnosis and prognosis in gastric cancer (GC). Human GCs are a unified model composed of diverse cells, including premalignant, immune and cancer. In this study, we present a human cell population of GC and premalignant states at single cell resolution using the 10X Chromium platform. We profiled 112,041 gastric cell landscape across 24 individuals with adjacent normal and GC lesions.

2022-01-30 | GSE150290 | GEO

Liquid Biopsy-Based Single-Cell Transcriptome Profiling Characterizes Heterogeneity of Disseminated Tumor Cells from Lung Adenocarcinoma

Project description:To decipher the heterogeneity and distinct molecular signatures of disseminated tumor cells, we profiled the transcriptomes single cells from malignant pleural effusion. RNA-seq was done using the standard 10x chromium v3 chemistry.

2020-09-01 | E-MTAB-8530 | biostudies-arrayexpress

The Tabulae Paralytica: Multimodal single-cell and spatial atlases of spinal cord injury

Project description:This submission is a dataset of two modalities, single-nucleus transcriptomics and single-nuclei spatial transcriptomics in the spinal cords of mice. The single-nuclei transcriptomics data is harvested and profiled using 10x Genomics Chromium Single Cell Kit Version. The single-nuclei spatial transcriptomics data is harvested and profiled using Visium Spatial Gene Expression.

2024-01-30 | GSE234774 | GEO

Reconstructing the human first trimester fetal-maternal interface using single cell transcriptomics - 10x data

Project description:To explore the interactions between the range of maternal and fetal placental cell types present, we profiled the transcriptomes of more than 50,000 single cells from matched first trimester samples of maternal blood and decidua, as well as fetal cells from the placenta itself. RNA-seq was done using the standard 10x chromium v2 chemistry.

2018-10-02 | E-MTAB-6701 | biostudies-arrayexpress

Single-Cell Transcriptome Analysis of MAIT Cell Subsets from human normal intestine

Project description:Normal adjacent tissues from colorectal cancer patients were collected for MAIT cell sorting. Sorted MAIT cells from seven individual donors were pooled together. Single-cell RNA sequencing libraries were prepared using the Chromium 5' Single Cell Gene Expression Kit (10x Genomics), following the manufacturer's protocol. Sequencing was performed on a NextSeq 500 platform (Illumina).

2024-11-26 | E-MTAB-14482 | biostudies-arrayexpress

Single cell RNA-seq of 25 thousand epithelial cells from xenografts of triple-negative breast cancers

Project description:Patient derived xenografts (PDX) were created from two triple-negative breast cancers (PDX-110 and PDX-332) taken at the time of surgery from drug-naive patients. Freshly sorted epithelial cells were profiled by single-cell RNA-seq (scRNA-seq) using a 10X Genomics Chromium System.

2019-02-26 | GSE123926 | GEO

Single cell profiling of 3 Human Lung Adenocarcinoma cell lines.

Project description:An equal mixture of cells from the 3 Human Lung Adenocarcinoma cell lines (H2228, NCI-H1975 and HCC827) were processed on the Chromium 3' single cell platform (10X Genomics) and sequenced on an Illumina NextSeq 500. FASTQ data were preprocessed using both scPipe and CellRanger.

2018-02-28 | GSE111108 | 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