Evidence map›Paper›PMID 41958681›Full record

ArticleFrontiers in immunology2026

Evolutionary insights and structural characterization guide the development of RAG1/RAG2-deficient swine models for immunological research.

Rui Zhang, Yunpeng Wu, Tianqi Sun, Tianqi Luan, Yanling Ren, Yilin Zhang, Lihao Lin, Teng Meng, Jin Wang, Yefeng Qiu

Abstract read
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
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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

The trial behind it

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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

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

10 authors.

Rui ZhangAcademy of Military Medical Sciences, Beijing, China.
Yunpeng WuAcademy of Military Medical Sciences, Beijing, China.
Tianqi SunAcademy of Military Medical Sciences, Beijing, China.
Tianqi LuanCollege of Life Science and Technology, Mudanjiang Normal University, Mudanjiang, China.
Yanling RenAcademy of Military Medical Sciences, Beijing, China.
Yilin ZhangAcademy of Military Medical Sciences, Beijing, China.
Lihao LinAcademy of Military Medical Sciences, Beijing, China.
Teng MengAcademy of Military Medical Sciences, Beijing, China.
Jin WangAcademy of Military Medical Sciences, Beijing, China.
Yefeng QiuAcademy of Military Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Defects in Methods: In this study, we performed evolutionary profiling, conservation analysis, tertiary structural modeling, and protein docking to characterize pig RAG1 and RAG2 and predict their functional roles in V(D)J recombination. These predictions were experimentally validated through the generation of Results: Our findings define key structural features of pig RAG1 and RAG2 that are essential for V(D)J recombination and establish an integrated framework that combines comprehensive computational analyses with Discussion: This approach supports the development of pigs as physiologically relevant models of RAG deficiency and provides a foundation for future studies in pig immunology, genome editing, and translational research. Furthermore, these immunodeficient pigs permit long-term engraftment of human tissue xenografts and stem cell-derived teratomas, thereby enabling investigations of human immune reconstitution, cancer biology, and regenerative medicine. Collectively, this model offers a robust platform for immunotherapy development and for advancing studies in evolutionary and comparative immunology research.

Indexed as

DNA-Binding ProteinsEvolution, MolecularHomeodomain ProteinsSevere Combined ImmunodeficiencyAnimalsCRISPR-Cas SystemsDisease Models, AnimalHumansMolecular Docking SimulationSwineV(D)J RecombinationDNA-Binding ProteinsHomeodomain ProteinsRAG-1 proteinV(D)J recombination activating protein 2CRISPR/Cas9evolutionary characteristicsimmunodeficient pig modelsprotein dockingRAG1/RAG2tertiary structural modeling

Identifiers

PMID41958681
PMCPMC13056857

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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.