Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [LN scRNA-seq]

ABSTRACT: SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [LN scRNA-seq]

PROVIDER: PRJNA700456 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [LN scRNA-seq]

Project description:Multi-modal single cell RNA sequencing enables the precise mapping of transcriptional and phenotypic features of cellular differentiation states, but does not allow for simultaneous integration of critical post-translational modification data. Here, we describe SUrface-protein Glycan And RNA-seq (SUGAR-seq); a method that enables detection and analysis of N-linked glycosylation, extracellular epitopes and the transcriptome at the single cell level. Integrated SUGAR-seq and glycoproteome analysis identified tumor infiltrating T cells with unique surface glycan properties that report their epigenetic and functional state.

2021-02-22 | GSE166325 | GEO

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [ATAC-seq]

2021-02-22 | GSE166324 | GEO

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [TIL scRNA-seq]

2021-02-22 | GSE166326 | GEO

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [3'RNA-seq]

2021-02-22 | GSE166323 | GEO

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells

Project description:SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells

| PRJNA700451 | ENA

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [ATAC-seq]

Project description:SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [ATAC-seq]

| PRJNA700453 | ENA

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [3'RNA-seq]

Project description:SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [3'RNA-seq]

| PRJNA700454 | ENA

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [TIL scRNA-seq]

Project description:SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells [TIL scRNA-seq]

| PRJNA700455 | ENA

SUGAR-Seq enables simultaneous detection of glycans, epitopes and the transcriptome in single cells

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-02-22 | GSE165293 | GEO

Simultaneous trimodal single cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq

Project description:Single-cell measurements of cellular characteristics have been instrumental in understanding the heterogeneous pathways that drive differentiation, cellular responses to signals, and human disease. Recent advances have allowed paired capture of protein abundance and transcriptomic state, but a lack of epigenetic information in these assays has left a missing link to gene regulation. Using the heterogeneous mixture of cells in human peripheral blood as a test case, we developed a novel scATAC-seq workflow that increases signal-to-noise and allows paired measurement of cell surface markers and chromatin accessibility: Integrated Cellular Indexing of Chromatin Landscape and Epitopes (ICICLE-seq). We extended this approach using a droplet-based multiomics platform to develop a trimodal assay that simultaneously measures Transcriptomics (scRNA-seq), Epitopes, and chromatin Accessibility (scATAC-seq) from thousands of single cells, which we term TEA-seq. Together, these multimodal single-cell assays provide a novel toolkit to identify type-specific gene regulation and expression grounded in phenotypically defined cell types.

2021-04-02 | GSE158013 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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