Evidence map›Paper›PMID 35474668›Full record

ArticleCell reports methods2021

Single-cell intracellular epitope and transcript detection reveals signal transduction dynamics.

Francesca Rivello, Erik van Buijtenen, Kinga Matuła, Jessie A G L van Buggenum, Paul Vink, Hans van Eenennaam, Klaas W Mulder, Wilhelm T S Huck

Abstract read
In one paragraph

Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  17. Single-Cell Proteomics: The Critical Role of Nanotechnology.International journal of molecular sciences · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Francesca RivelloInstitute for Molecules and Materials, Radboud University, Nijmegen 6525 AJ, the Netherlands.
Erik van BuijtenenInstitute for Molecules and Materials, Radboud University, Nijmegen 6525 AJ, the Netherlands.
Kinga MatułaInstitute for Molecules and Materials, Radboud University, Nijmegen 6525 AJ, the Netherlands.
Jessie A G L van BuggenumInstitute for Molecules and Materials, Radboud University, Nijmegen 6525 AJ, the Netherlands.
Paul VinkAduro Biotech, Oss 5349 AB, the Netherlands.
Hans van EenennaamAduro Biotech, Oss 5349 AB, the Netherlands.
Klaas W MulderRadboud Institute for Molecular Life Sciences, Radboud University, Nijmegen 6525 GA, the Netherlands.
Wilhelm T S HuckInstitute for Molecules and Materials, Radboud University, Nijmegen 6525 AJ, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

RNATranscriptomeBase SequenceProteinsSignal TransductionProteinsRNABJABdroplet microfluidicsgene expressionhigh throughputibrutinibmulti-omicsproteomesignaling networkssingle celltranscriptome

Identifiers

PMID35474668
PMCPMC9017125

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.