Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [human K562 and muring 3T3]

ABSTRACT: High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [human K562 and muring 3T3]

PROVIDER: PRJNA540583 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Validation]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Validation]

| PRJNA549875 | ENA

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [GM12878]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [GM12878]

| PRJNA540584 | ENA

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Blood]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Blood]

| PRJNA509252 | ENA

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [PBMC]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [PBMC]

| PRJNA509255 | ENA

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Bone marrow]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [Bone marrow]

| PRJNA509251 | ENA

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [mouse brain]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [mouse brain]

| PRJNA509254 | ENA

High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [species mixture]

Project description:High-throughput combinatorial indexing enables scalable single-cell chromatin accessibility profiling [species mixture]

| PRJNA509253 | ENA

Multiplex Single Cell Profiling of Chromatin Accessibility by Combinatorial Cellular Indexing [RNA-seq]

Project description:Technical advances have enabled the collection of genome and transcriptome data sets with single-cell resolution. However, single-cell characterization of the epigenome has remained challenging. Furthermore, because cells must be physically separated prior to biochemical processing, conventional single-cell preparatory methods scale linearly. We applied combinatorial cellular indexing to measure chromatin accessibility in thousands of single cells per assay, circumventing the need for compartmentalization of individual cells. We report chromatin accessibility profiles from over 15,000 single cells and use these data to cluster cells on the basis of chromatin accessibility landscapes. We identify modules of coordinately regulated chromatin accessibility at the level of single cells both between and within cell types, with a scalable method that may accelerate progress toward a human cell atlas. 3 replicates from GM12878 and HL-60 cell lines collected for differential gene expression analysis.

2015-05-07 | E-GEOD-68102 | biostudies-arrayexpress

High-content single-cell combinatorial indexing

Project description:High-content single-cell combinatorial indexing

| PRJNA728882 | ENA

Comprehensive single cell transcriptional profiling of a multicellular organism by combinatorial indexing

Project description:We developed a combinatorial indexing strategy to profile the transcriptomes of large numbers of single cells or nuclei (Single cell Combinatorial Indexing RNA-seq or sci-RNA-seq). We applied sci-RNA-seq to profile nearly 50,000 cells from C. elegans at the L2 stage, effectively ~56-fold “shotgun cellular coverage” of its somatic cell composition.

2017-08-17 | GSE98561 | 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