Single cell analysis of protein epitopes and chromatin accessibility using PHAGE-ATAC [CD8_Hashing]
UID: 10868
- 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:
"Four donors' CD8 T-cells were hashed using uniquely barcoded anti-CD8 phages, pooled, and then processed using a modified scATAC-seq protocol. Hashing concordance with donor genotype was measured and assessed (see CD8_Human_T-cell_Hashing_barcode-assignments.csv.gz)."
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Access via GEO
Accession #: GSE157478Access via BioProject
Accession #: PRJNA661454Access via SRA
Accession #: SRP280094 - Access Restrictions
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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)
- CSV, TAR
- Dataset Size
- 553.615 MB
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