Evidence map›Paper›PMID 41279256›Full record

ArticlebioRxiv : the preprint server for biology2025

Display of clustered antigen by follicular dendritic cells tunes B-cell receptor activation.

Ali Shahrokhtash, Hiroaki Ogasawara, Kristian Savstrup Kastberg, Khalid Salaita, Søren E Degn, Duncan S Sutherland

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ali ShahrokhtashInterdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-8035-5965
Hiroaki OgasawaraDepartment of Chemistry, Emory University, Atlanta, GA 30322, USA.ORCID 0000-0001-8462-562X
Kristian Savstrup KastbergDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-4467-2736
Khalid SalaitaDepartment of Chemistry, Emory University, Atlanta, GA 30322, USA.ORCID 0000-0003-4138-3477
Søren E DegnThe Centre for Cellular Signal Patterns (CellPAT), Aarhus, Denmark.ORCID 0000-0001-5409-045X
Duncan S SutherlandInterdisciplinary Nanoscience Center, Aarhus University, Aarhus, Denmark.ORCID 0000-0002-5045-9915

Funding

Equipment Supplement: Cell sorting flow cytometry to support the BTDDRM1GM145394 · NIGMS · EMORY UNIVERSITY · PI Khalid S. Salaita · 2023 to 2026
$5.6M
NIGMS NIH HHS RM1 GM145394
6 · The paper itself

Abstract

To generate high-affinity antibodies against pathogens, B cells engage antigens displayed on the surface of follicular dendritic cells (FDCs) in secondary lymphoid tissues. Binding of cognate antigen by the B-cell receptor (BCR) causes Src kinase activation and phosphorylation of SYK (pSYK), serving as a platform for downstream signaling. However, how presentation of antigen by FDCs influence antigen binding and intracellular signaling in B cells remains unclear. Here, we show that antigen occurs in submicron pre-clusters on FDCs. We use nanoscale ligand patterning to present clustered antigens on tension force tethers in relevant cluster geometries in vitro. Clustering of antigens greatly increases BCR activation in a pattern-size-dependent manner, correlating to exclusion of the tyrosine phosphatase CD45 from BCR-antigen complexes. Increased height of antigen placement reduces CD45 exclusion with concomitant reduction in pSYK. Super-resolution imaging reveals reduced levels of pSYK at the edges of antigen patterns where CD45 interactions are greater, indicating a geometric control of BCR triggering.

Identifiers

PMID41279256
PMCPMC12637568

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.