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CITATION.bib
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@article{RIVELLO2021100070,
title = {Single-cell intracellular epitope and transcript detection reveals signal transduction dynamics},
journal = {Cell Reports Methods},
volume = {1},
number = {5},
pages = {100070},
year = {2021},
issn = {2667-2375},
doi = {https://doi.org/10.1016/j.crmeth.2021.100070},
url = {https://www.sciencedirect.com/science/article/pii/S2667237521001223},
author = {Francesca Rivello and Erik {van Buijtenen} and Kinga Matuła and Jessie A.G.L. {van Buggenum} and Paul Vink and Hans {van Eenennaam} and Klaas W. Mulder and Wilhelm T.S. Huck},
keywords = {multi-omics, single cell, transcriptome, proteome, signaling networks, droplet microfluidics, gene expression, high throughput, BJAB, ibrutinib},
abstract = {Summary
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.}
}