Evidence map›Paper›PMID 38081299›Full record

ArticleNature2024

Transport and inhibition mechanisms of human VMAT2.

Di Wu, Qihao Chen, Zhuoya Yu, Bo Huang, Jun Zhao, Yuhang Wang, Jiawei Su, Feng Zhou, Rui Yan, Na Li and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.7field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
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  17. Plants (Basel, Switzerland) · 2025
    Article
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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

12 authors at 4 institutions in 2 countries.

Di Wu *Laboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China.
Qihao Chen *University of Chinese Academy of Sciences, Beijing, China.
Zhuoya Yu *University of Chinese Academy of Sciences, Beijing, China.
Bo Huang *Beijing StoneWise Technology, Beijing, China.ORCID 0000-0003-3822-9110
Jun Zhao *Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences at Weifang, Weifang, China.
Yuhang WangUniversity of Chinese Academy of Sciences, Beijing, China.
Jiawei SuUniversity of Chinese Academy of Sciences, Beijing, China.
Feng ZhouBeijing StoneWise Technology, Beijing, China.
Rui YanLaboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China.
Na LiHeart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Yan ZhaoUniversity of Chinese Academy of Sciences, Beijing, China. zhaoy@ibp.ac.cn.ORCID 0000-0002-4348-256X
Daohua JiangLaboratory of Soft Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, China. jiangdh@iphy.ac.cn.ORCID 0000-0002-4397-5807
Chinese Academy of Sciences · CNInstitute of Physics · CNCapital Medical University · CNSongshan Lake Materials Laboratory · CN

Funding

Brain-like Intelligence TechnologyChinese Academy of Sciences Strategic Priority Research ProgramNational Key Research and Development Program of ChinaNational Natural Science Foundation of China
6 · The paper itself

Abstract

Vesicular monoamine transporter 2 (VMAT2) accumulates monoamines in presynaptic vesicles for storage and exocytotic release, and has a vital role in monoaminergic neurotransmission

Indexed as

Cryoelectron MicroscopyVesicular Monoamine Transport ProteinsBinding SitesCytoplasmHumansKetanserinReserpineSerotoninSubstrate SpecificityTetrabenazineKetanserinReserpineSerotoninSLC18A2 protein, humanTetrabenazineVesicular Monoamine Transport Proteins

Identifiers

PMID38081299
OpenAlexW4389549593

What OpenQuestion holds

Textmetadata
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.