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Single cell analysis of protein epitopes and chromatin accessibility using PHAGE-ATAC [Human_PBMCs]

UID: 10869

Author(s): Fiskin, Evgenji, Lareau, Caleb A.* * MSK affiliated

Description
Summary from GEO:

"Single cell multi-omic readouts of both the cellular transcriptome and proteome have significantly enhanced our ability to comprehensively characterize cellular states. Most approaches in this area rely on oligonucleotide barcode-conjugated antibodies that target cell surface epitopes of interest, enabling their concomitant detection with the transcriptome. However, a similar high-throughput measurement of other cellular modalities such as the epigenome in concert with protein levels have not been described. Moreover, detection of epitopes is limited to antigens for which a specific antibody is available. Here, we introduce PHAGE-ATAC, an approach that enables the scalable and simultaneous detection of protein levels and chromatin accessibility data in single cells using the assay of transposase-accessible chromatin with sequencing (ATAC-seq). Quantitative detection of proteins by PHAGE-ATAC is accomplished through the use of engineerable nanobody-displaying phages that are genetically barcoded within the nanobody-encoding phagemids. We demonstrate the utility of PHAGE-ATAC for multimodal single cell genomic analysis in both cell lines and primary human cells. Analogous to phage display approaches, we further establish a synthetic high-complexity library of nanobody-displaying phages and demonstrate its utility to select novel antigen-specific nanobodies for PHAGE-ATAC."

Overall design from GEO:

"Human PBMCs were stained with Phages displaying anti-CD4, CD8, or CD16 nanobodies to quantify protein abundances along side accessible chromatin using scATAC-seq"
Subject of Study
Subject(s)
Access via GEO


Accession #: GSE157483

Access via BioProject


Accession #: PRJNA661463

Access via SRA


Accession #: SRP280097

Access Restrictions
Free to All
Access Instructions
The NCBI Gene Expression Omnibus, SRA and BioProject databases provide open access to these files.
Associated Publications
Equipment Used
Dataset Format(s)
TAR
Dataset Size
1.6 GB
Data Catalog Record Updated
2023-10-04