Evidence map›Paper›PMID 39758990›Full record

ArticleiScience2024

Mice carrying the full-length human immunoglobulin loci produce antigen-specific human antibodies with the lambda light chain.

Kazuto Shimoya, Takashi Moriwaki, Kanako Kazuki, Akane Okada, Shigenori Baba, Yuana Masuda, Satoshi Abe, Yasuhiro Kazuki

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Kazuto ShimoyaDepartment of Chromosome Biomedical Engineering, Integrated Medical Sciences, Graduate School of Medical Sciences, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Takashi MoriwakiChromosome Engineering Research Center, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Kanako KazukiChromosome Engineering Research Center, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Akane OkadaChromosome Engineering Research Center, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Shigenori BabaDepartment of Chromosome Biomedical Engineering, School of Life Science, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Yuana MasudaDepartment of Chromosome Biomedical Engineering, School of Life Science, Faculty of Medicine, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Satoshi AbeChromosome Engineering Research Center, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Yasuhiro KazukiDepartment of Chromosome Biomedical Engineering, Integrated Medical Sciences, Graduate School of Medical Sciences, Tottori University, 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of antibody drugs through animal immunization typically requires the humanization of host antibodies to address concerns about immunogenicity in humans. However, employing an animal model capable of producing human antibodies presents the opportunity to develop antibody drugs without the need for humanization. Despite the ratio of human immunoglobulin (Ig) κ to Igλ usage being approximately 60%:40%, the majority of approved antibody therapeutics are kappa antibodies, and the development of lambda antibodies as therapeutic agents has lagged behind. Therefore, in this study, we developed mice carrying the

Indexed as

Biological sciences research methodologiesGenetic engineeringImmune response

Identifiers

PMID39758990
PMCPMC11700626

What OpenQuestion holds

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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.