Publication | Open Access
Single-cell intracellular epitope and transcript detection reveals signal transduction dynamics
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Citations
22
References
2021
Year
EngineeringImmunologyMultiomicsSpatial OmicsCellular PhysiologyTrajectory AnalysisSingle Cell SequencingCell InteractionCellular Regulatory MechanismCell SignalingSingle-cell Intracellular EpitopeProtein QuantificationMulti-omics StudySingle-cell GenomicsOmicsExternal StimulationPathway AnalysisPresent QuantificationGene ExpressionSingle-cell AnalysisBioinformaticsFunctional GenomicsCell BiologySignal TransductionSingle-cell BiologySystems BiologyMedicine
To further our understanding of how biochemical information flows through cells upon external stimulation, we require single-cell multi-omics methods that concurrently map changes in (phospho)protein levels across signaling networks and the associated gene expression profiles. Here, we present quantification of RNA and intracellular epitopes by sequencing (QuRIE-seq), a droplet-based platform for single-cell RNA and intra- and extracellular (phospho)protein quantification through sequencing. We applied QuRIE-seq to quantify cell-state changes at both the signaling and the transcriptome level after 2-, 4-, 6-, 60-, and 180-min stimulation of the B cell receptor pathway in Burkitt lymphoma cells. Using the multi-omics factor analysis (MOFA+) framework, we delineated changes in single-cell (phospho)protein and gene expression patterns over multiple timescales and revealed the effect of an inhibitory drug (ibrutinib) on signaling and gene expression landscapes.
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