Transcriptomics

Dataset Information

0

Detection of Cell-Cell Interactions via Photocatalytic Cell Tagging


ABSTRACT: The growing appreciation of immune cell-cell interactions within disease environments has led to significant efforts to develop highly effective protein-, and cell-based immunotherapies.  However, characterizing these complex cell-cell interactions in high resolution remains challenging.  Thus, technologies that leverage therapeutic-based modalities for profiling intercellular environments can provide unique advantages towards understanding these cellular interactions at molecular-level detail.  To address this, we introduce photocatalytic cell tagging (PhoTag), a platform for profiling cell-cell interactions that utilizes a single domain antibody (VHH) conjugated to a photoactivatable flavin-based cofactor.  Upon irradiation with visible light, the tethered flavin photocatalyst generates phenoxy radical tags for targeted labeling within cell-cell contact environments.  Using anti-PD-1 or anti-PD-L1 VHH flavin conjugates, we demonstrate that PhoTag achieves highly selective synaptic labeling in antigen presenting cell-T cell co-culture systems. By combining the high resolution transcellular biotinylation capability of PhoTag with multi-omics single cell sequencing, we interrogated transient interactions between Peripheral blood mononuclear cell (PBMC) populations and Raji PD-L1 B cells and discovered that specific T cell subtypes can transiently interact more efficiently than others.   We envision that the spatio-temporal and modular nature of PhoTag will enable its broad utilization for detailed profiling of intercellular interactions across different biological systems. 

ORGANISM(S): Homo sapiens

PROVIDER: GSE206140 | GEO | 2022/06/18

REPOSITORIES: GEO

Similar Datasets

2022-06-03 | PXD032203 | Pride
2022-03-31 | MSV000089180 | MassIVE
2012-07-09 | E-GEOD-39205 | biostudies-arrayexpress
2021-08-15 | PXD027826 | Pride
2020-02-01 | GSE129968 | GEO
| PRJNA773432 | ENA
2012-07-09 | E-GEOD-39204 | biostudies-arrayexpress
2018-05-24 | GSE107620 | GEO
2018-05-24 | GSE107621 | GEO
2018-06-12 | GSE115594 | GEO