Evidence map›Paper›PMID 36623694›Full record

ArticleMolecular & cellular proteomics : MCP2023

Integrated Single-Cell (Phospho-)Protein and RNA Detection Uncovers Phenotypic Characteristics and Active Signal Transduction of Human Antibody-Secreting Cells.

Erik van Buijtenen, Wout Janssen, Paul Vink, Maurice J M Habraken, Laura J A Wingens, Andrea van Elsas, Wilhelm T S Huck, Jessie A G L van Buggenum, Hans van Eenennaam

Open access · goldAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Erik van BuijtenenInstitute for Molecules and Materials, Radboud University, Nijmegen, the Netherlands; Aduro Biotech, Oss, the Netherlands.
Wout JanssenAduro Biotech, Oss, the Netherlands.
Paul VinkAduro Biotech, Oss, the Netherlands.
Maurice J M HabrakenAduro Biotech, Oss, the Netherlands.
Laura J A WingensRadboud Institute for Molecular Life Sciences, Radboud University, Nijmegen, the Netherlands.
Andrea van ElsasAduro Biotech, Oss, the Netherlands.
Wilhelm T S HuckInstitute for Molecules and Materials, Radboud University, Nijmegen, the Netherlands.
Jessie A G L van BuggenumInstitute for Molecules and Materials, Radboud University, Nijmegen, the Netherlands. Electronic address: jessie.vanbuggenum@ru.nl.
Hans van EenennaamAduro Biotech, Oss, the Netherlands.
Radboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell technologies are currently widely applied to obtain a deeper understanding of the phenotype of single-cells in heterogenous mixtures. However, integrated multilayer approaches including simultaneous detection of mRNA, protein expression, and intracellular phospho-proteins are still challenging. Here, we combined an adapted method to in vitro-differentiate peripheral B-cells into antibody-secreting cells (ASCs) (i.e., plasmablasts and plasma cells) with integrated multi-omic single-cell sequencing technologies to detect and quantify immunoglobulin subclass-specific surface markers, transcriptional profiles, and signaling transduction pathway components. Using a common set of surface proteins, we integrated two multimodal datasets to combine mRNA, protein expression, and phospho-protein detection in one integrated dataset. Next, we tested whether ASCs that only seem to differ in its ability to secrete different IgM, IgA, or IgG antibodies exhibit other differences that characterize these different ASCs. Our approach detected differential expression of plasmablast and plasma cell markers, homing receptors, and TNF receptors. In addition, differential sensitivity was observed for the different cytokine stimulations that were applied during in vitro differentiation. For example, IgM ASCs were more sensitive to IL-15, while IgG ASC responded more to IL-6 and IFN addition. Furthermore, tonic BCR activity was detected in IgA and IgM ASCs, while IgG ASC exhibited active BCR-independent SYK activity and NF-κB and mTOR signaling. We confirmed these findings using flow cytometry and small molecules inhibitors, demonstrating the importance of SYK, NF-κB, and mTOR activity for plasmablast/plasma cell differentiation/survival and/or IgG secretion. Taken together, our integrated multi-omics approach allowed high-resolution phenotypic characterization of single cells in a heterogenous sample of in vitro-differentiated human ASCs. Our strategy is expected to further our understanding of human ASCs in healthy and diseased samples and provide a valuable tool to identify novel biomarkers and potential drug targets.

Indexed as

Antibody-Producing CellsSignal TransductionSingle-Cell Gene Expression AnalysisHumansImmunoglobulin AImmunoglobulin GImmunoglobulin MNF-kappa BPhenotypeRNARNA, MessengerTOR Serine-Threonine KinasesImmunoglobulin AImmunoglobulin GImmunoglobulin MNF-kappa BRNARNA, MessengerTOR Serine-Threonine Kinasesantibody-secreting cellsmultimodalplasmacellssingle-cell phosphoproteomicstranscriptomics

Identifiers

PMID36623694
PMCPMC9943876
OpenAlexW4313626995

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.