Evidence map›Paper›PMID 41455731›Full record

ArticleScientific reports2025

Engineering IL-21 secretion in T cells using druggable ligand-responsive stabilized domains.

Dong Hyun Kim, Seo Jin Lee, Taeyoung Ahn, Hyung-Young Kim, Kyungsu Kim, Hyungseok Seo

Abstract read
In one paragraph

Article in Scientific reports, 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

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

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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

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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.

Dong Hyun KimLaboratory of Cell & Gene Therapy, Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Seo Jin LeeLaboratory of Cell & Gene Therapy, Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Taeyoung AhnLaboratory of Cell & Gene Therapy, Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea.
Hyung-Young KimDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.
Kyungsu KimSchool of Transdisciplinary Innovations, Department of Biomedical Science, Medical Research Center, Interdisciplinary Program in Bioengineering, and Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul, Republic of Korea.
Hyungseok SeoLaboratory of Cell & Gene Therapy, Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul, 08826, Republic of Korea. h.seo@snu.ac.kr.

Funding

Korea Drug Development Fund RS-2023-00282907National Research Foundation of Korea RS-2023-00210035National Research Foundation of Korea RS-2023-00242443National Research Foundation of Korea RS-2024-00406325National Research Foundation of Korea RS-2024-00451880
6 · The paper itself

Abstract

Cytokine-based immunotherapies face challenges due to systemic toxicity and uncontrolled cytokine release. To enable precise control, we developed a druggable ligand-dependent IL-21 secretion system using destabilization domains (DDs). ER50 and DHFR facilitated ligand-responsive IL-21 secretion, with ER50 providing the most sustained regulation. Structural analysis revealed that N-terminal fusion improved IL-21 receptor binding, while C-terminal fusion weakened interactions. In primary T cells, IL-21 secretion promoted T stem-like (Tscm) cell differentiation, enhancing persistence for adoptive cell therapy. This system enables reversible, tunable cytokine control, offering a safer and more flexible approach for engineered T cell therapies.

Indexed as

InterleukinsT-LymphocytesAnimalsCell DifferentiationHumansInterleukin-21LigandsMiceProtein DomainsProtein EngineeringReceptors, Interleukin-21Recombinant Fusion ProteinsInterleukin-21InterleukinsLigandsReceptors, Interleukin-21Recombinant Fusion ProteinsDestabilization domain (DD)IL-21ImmunotherapyLigand-dependent regulationT cell engineering

Identifiers

PMID41455731
PMCPMC12824312

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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.