Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

SCITO-seq: single-cell combinatorial indexed cytometry sequencing

ABSTRACT: SCITO-seq: single-cell combinatorial indexed cytometry sequencing

PROVIDER: PRJNA619440 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

SCITO-seq: single-cell combinatorial indexed cytometry sequencing

Project description:We introduce single cell combinatorial indexed cytometry by sequencing (SCITO-seq), a single cell proteomics workflow that combines split-pool indexing and droplet-based sequencing

2021-03-31 | GSE147808 | GEO

Nanowell-based single-cell combinatorial indexed ATAC-seq

Project description:Here we present advancements in single-cell combinatorial indexed ATAC-seq (sciATAC) to measure chromatin accessibility that leverage nanowell chips to achieve atlas-scale cell throughput (>105) at low cost. Our optimized techniques also achieve a high fraction of reads that fall within called peaks (>80%) and low cell doublet rates. We also demonstrate an alternative workflow that achieves high cell coverage while retaining exceptional enrichment for open chromatin regions, enabling the assessment of >70,000 unique accessible loci per cell.

2023-02-08 | GSE218881 | GEO

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry

Project description:Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry

| PRJNA493078 | ENA

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [bulk]

Project description:Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [bulk]

| PRJNA493081 | ENA

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [scRNA]

Project description:Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [scRNA]

| PRJNA492227 | ENA

Indexed single-cell RNA-seq of mensenchymal bone marrow cells

Project description:This data set contains single-cell RNA-seq data from CD45-Ter119-Cd41-CD71-Vibrant Dye+VCAM1+ cells, indexed for the expression of these markers as well as CD51, CD61 and CD200

2019-08-08 | GSE134098 | GEO

High-content single-cell combinatorial indexing

Project description:High-content single-cell combinatorial indexing

| PRJNA728882 | ENA

Human Bone Marrow Assessment by Single Cell RNA Sequencing, Mass Cytometry and Flow Cytometry [scRNA]

Project description:New techniques for single-cell analysis have led to insights into hematopoiesis and the immune system, but the ability of these techniques to cross-validate and reproducibly identify the biological variation in diverse human samples is currently unproven. We therefore performed a comprehensive assessment of human bone marrow cells using both single-cell RNA sequencing and multiparameter flow cytometry from twenty healthy adult human donors across a broad age range. These data characterize variation between healthy donors as well as age-associated changes in cell population frequencies. Direct comparison of techniques revealed discrepancy in the quantification of T lymphocyte and natural killer cell populations. Orthogonal validation of immunophenotyping using mass cytometry demonstrated good correlation with flow cytometry. Technical replicates using single-cell RNA sequencing matched robustly, while biological replicates showed variation. Given the increasing use of single-cell technologies in translational research, this resource serves as an important reference dataset and highlights opportunities for further refinement. [Funding source] Project Number: 1ZIAHL006163-05 Contact PI / Project Leader: HOURIGAN, CHRISTOPHER Title: DETECTION, PREVENTION AND TREATMENT OF ACUTE MYELOID LEUKEMIA (AML) RELAPSE. Awardee Organization: NATIONAL HEART, LUNG, AND BLOOD INSTITUTE

2018-09-21 | GSE120221 | GEO

Ultra-high throughput single-cell RNA sequencing by combinatorial fluidic indexing

Project description:Cell atlas projects and high-throughput perturbation screens require single-cell sequencing at a scale that is challenging with current technology. To enable cost-effective single-cell sequencing for millions of individual cells, we developed “single-cell combinatorial fluidic indexing” (scifi). The scifi-RNA-seq assay combines one-step combinatorial pre-indexing of entire transcriptomes inside permeabilized cells with subsequent single-cell RNA-seq using microfluidics. Pre-indexing allows us to load multiple cells per droplet and bioinformatically demultiplex their individual expression profiles. Thereby, scifi-RNA-seq massively increases the throughput of droplet-based single-cell RNA-seq, and it provides a straightforward way of multiplexing thousands of samples in a single experiment. Compared to multi-round combinatorial indexing, scifi-RNA-seq provides an easier, faster, and more efficient workflow. In contrast to cell hashing methods, which flag and discard droplets containing more than one cell, scifi-RNA-seq resolves and retains individual transcriptomes from overloaded droplets.

2021-03-11 | GSE168620 | GEO

Indexed single-cell RNA-seq of mensenchymal bone marrow cells

Project description:Indexed single-cell RNA-seq of mensenchymal bone marrow cells

| PRJNA553770 | ENA