Evidence map›Paper›PMID 42529217›Full record

ArticleFrontiers in immunology2026

A universally applicable toolbox for single-molecule quantification of chimeric antigen receptors using linker-resolved

Josefine Michael, Peter Spieler, Fabio Toppeta, Leon Gehrke, Nicole Seifert, Björn Grams, Rick Seifert, Hermann Einsele, Michael Hudecek, Markus Sauer and 1 more

Abstract read
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In one paragraph

Article in Frontiers in immunology, 2026. 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

11 authors.

Josefine Michael *Chair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Peter Spieler *Chair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Fabio Toppeta *Chair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Leon GehrkeChair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Nicole SeifertDepartment of Biotechnology and Biophysics, Biocenter, Am Hubland, University of Würzburg, Würzburg, Germany.
Björn GramsChair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Rick SeifertDepartment of Biotechnology and Biophysics, Biocenter, Am Hubland, University of Würzburg, Würzburg, Germany.
Hermann EinseleDepartment of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Michael HudecekChair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.
Markus SauerDepartment of Biotechnology and Biophysics, Biocenter, Am Hubland, University of Würzburg, Würzburg, Germany.
Thomas NerreterChair of Cellular Immunotherapy, Department of Internal Medicine II, University Hospital Würzburg (UKW), Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chimeric antigen receptor (CAR)-T cell therapies targeting CD19 have demonstrated remarkable clinical efficacy in B-cell malignancies. However, substantial differences exist in therapeutic outcomes, partly due to differences in CAR design and surface expression. Current methods for CAR detection, including flow cytometry, do not allow direct quantification of receptor density. Here, we establish a linker-targeted

Indexed as

Receptors, Chimeric AntigenSingle Molecule ImagingT-LymphocytesAntigens, CD19Flow CytometryHumansImmunotherapy, AdoptiveAntigens, CD19Receptors, Chimeric Antigenanti-CD19CAR-T cell therapychimeric antigen receptordSTORMmicroscopy

Identifiers

PMID42529217
PMCPMC13416521

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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.