Evidence map›Paper›PMID 38266093›Full record

ArticleScience advances2024

The multilevel extensive diversity across the cynomolgus macaque captured by ultra-deep adaptive immune receptor repertoire sequencing.

Yan Zhu, Haipei Tang, Wenxi Xie, Sen Chen, Huikun Zeng, Chunhong Lan, Junjie Guan, Cuiyu Ma, Xiujia Yang, Qilong Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 3 institutions in 1 country.

Yan ZhuCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0003-1105-6491
Haipei TangCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0002-5533-7263
Wenxi XieDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0001-6759-7639
Sen ChenCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0002-6720-8215
Huikun ZengCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0001-9495-5649
Chunhong LanCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0001-5030-8247
Junjie GuanDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0002-9008-9242
Cuiyu MaDepartment of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China.ORCID 0000-0001-7445-6332
Xiujia YangCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0003-4036-4995
Qilong WangCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0002-2248-0266
Lai WeiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-3300-8506
Zhenhai ZhangCenter for Precision Medicine, Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0002-4310-0525
Xueqing YuGuangdong-Hong Kong Joint Laboratory on Immunological and Genetic Kidney Diseases, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, China.ORCID 0000-0001-8624-744X
Guangdong Academy of Medical Sciences · CNSouthern Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extent to which AIRRs differ among and within individuals remains elusive. Via ultra-deep repertoire sequencing of 22 and 25 tissues in three cynomolgus macaques, respectively, we identified 84 and 114 novel IGHV and TRBV alleles, confirming 72 (85.71%) and 100 (87.72%) of them. The heterogeneous V gene usage patterns were influenced, in turn, by genetics, isotype (for BCRs only), tissue group, and tissue. A higher proportion of intragroup shared clones in the intestinal tissues than those in other tissues suggests a close intra-intestinal adaptive immunity network. Significantly higher mutation burdens in the public clones and the inter-tissue shared IgM and IgD clones indicate that they might target the shared antigens. This study reveals the extensive heterogeneity of the AIRRs at various levels and has broad fundamental and clinical implications. The data generated here will serve as an invaluable resource for future studies on adaptive immunity in health and diseases.

Indexed as

Adaptive ImmunityImmunoglobulin IsotypesAllelesAnimalsMacaca fascicularisReceptors, ImmunologicImmunoglobulin IsotypesReceptors, Immunologic

Identifiers

PMID38266093
PMCPMC10807814
OpenAlexW4391205474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.