Evidence map›Paper›PMID 41019057›Full record

ArticleFrontiers in immunology2025

A real-time imaging approach to quantify dendritic cell internalization for immunogenicity risk assessment of biotherapeutics.

Zhaojun Yin, Peter Tran, Joyce Guerrero, Justin Low, Qing Xie, Kun Peng

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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.

Zhaojun YinDepartment BioAnalytical Sciences, Genentech, Inc., South San Francisco, CA, United States.
Peter TranDepartment BioAnalytical Sciences, Genentech, Inc., South San Francisco, CA, United States.
Joyce GuerreroDepartment BioAnalytical Sciences, Genentech, Inc., South San Francisco, CA, United States.
Justin LowDepartment BioAnalytical Sciences, Genentech, Inc., South San Francisco, CA, United States.
Qing XieDepartment BioAnalytical Sciences, Genentech, Inc., South San Francisco, CA, United States.
Kun PengDepartment BioAnalytical Sciences, Genentech, Inc., South San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of treatment-emergent anti-drug antibodies (ADAs) can pose challenges during biotherapeutic development by compromising drug safety and efficacy. Early assessment of immunogenicity risk is essential to mitigate these risks. Dendritic cells (DCs) are crucial for priming CD4 T cells and necessary for effective antibody production. Therefore, DC internalization has been investigated as a predictive tool for evaluating the immunogenicity risk of biotherapeutics. Previously reported flow cytometry-based DC internalization assays, including our own, have faced several limitations. These limitations included low throughput due to a restricted DC supply from healthy donors, restriction to Fc-containing antibody-based biotherapeutics, and offering only endpoint data. To address these limitations, we explored both direct and indirect labeling approaches using the IncuCyte® real-time imaging platform. Our findings revealed that indirect labeling approach with the commonly used Fab anti-Fc reagents was unsuitable for DC internalization assays due to significant assay background noises and assay bias when evaluating biotherapeutics of different frameworks. In contrast, using direct labeling with Biotracker Orange demonstrated improved predictability, required fewer DCs, and was suitable for high-throughput screening. Additionally, this approach facilitates constant monitoring of the internalization process, offering a comprehensive understanding of cell morphology changes and internalization kinetics. Using a panel of 25 test therapeutic antibodies with known clinical ADA results, the IncuCyte®-based direct labeling assay demonstrated significant improvements in predicting the immunogenicity risk of the tested molecules. The assay demonstrated a high correlation between internalization and clinical immunogenicity risk, outperforming our previous flow cytometry-based results. Overall, the IncuCyte®-based direct labeling assay using Biotracker Orange represents a significant advancement compared to our previous flow cytometry assay. This new technique is a valuable addition to our immunogenicity risk assessment toolbox, and will ultimately lead to more informed decision-making in the early development of biotherapeutics.

Indexed as

Biological ProductsDendritic CellsFlow CytometryHumansRisk AssessmentBiological Productsanti-drug antibodydendritic cellimmunogenicity predictioninternalization assayreal-time imaging

Identifiers

PMID41019057
PMCPMC12463596

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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.