Evidence map›Paper›PMID 42414706›Full record

ArticleAMB Express2026

Preparation, characterization and application of feline CD3-specific single-domain antibodies.

Jingjing Wang, Qihuan Zhao, Bo Wang, Chengquan Du, Hui Wang, Jingsi Mei, Ruifeng Gao, Fuxiang Bao

Abstract read
In one paragraph

Article in AMB Express, 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

8 authors.

Jingjing Wang *College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China.
Qihuan Zhao *College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China.
Bo WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China.
Chengquan DuCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China.
Hui WangCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China.
Jingsi MeiCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China.
Ruifeng GaoCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China. grfneinongda@163.com.
Fuxiang BaoCollege of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010010, China. baofuxiang@imau.edu.cn.

Funding

Basic scientific research fund of directly affiliated universities in Inner Mongolia Autonomous Region BR250101National Natural Science Foundation of China 32260893Natural Science Foundation of Inner Mongolia Autonomous Region 2026MS0775Program for Young Talents of Science and Technology in Universities of the Inner Mongolia Autonomous Region NJYT23094
6 · The paper itself

Abstract

Feline lymphoma, a prevalent feline malignancy, responds poorly to conventional chemotherapy-a setting that underscores the urgent need for targeted therapeutic alternatives. The stable expression of CD3 on T-cell lymphoma cells positions this molecule as an ideal immunotherapeutic target. Compared with conventional antibodies, single-domain nanobodies derived from camelid heavy-chain antibodies offer distinct advantages, including smaller size, enhanced tissue penetration, and superior stability, thereby rendering CD3-targeted nanobodies particularly promising for managing feline T-cell lymphoma. We immunized a Bactrian camel with recombinant feline CD3ε extracellular domain and constructed a phage display nanobody library (capacity 5.97 × 10

Indexed as

CD3εFelineNanobodyPhage displayT-cell lymphoma

Identifiers

PMID42414706
PMCPMC13582682

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.