Evidence map›Paper›PMID 34290087›Full record

ArticleScience advances2021

Multiregional profiling of the brain transmembrane proteome uncovers novel regulators of depression.

Shanshan Li, Huoqing Luo, Ronghui Lou, Cuiping Tian, Chen Miao, Lisha Xia, Chen Pan, Xiaoxiao Duan, Ting Dang, Hui Li and 10 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 23% 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

17 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. Precise antibody delivery to the brain via nanobubble-actuated focused ultrasound alleviates depression.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  11. Splenectomy does not affect mouse behaviors.Neural regeneration research · 2023
    Article
  12. Article
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  14. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 2 institutions in 1 country.

Shanshan LiiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0001-5472-7772
Huoqing LuoSchool of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0002-2948-6775
Ronghui LouiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0001-5925-9779
Cuiping TianiHuman Institute, ShanghaiTech University, Shanghai 201210, China.
Chen MiaoiHuman Institute, ShanghaiTech University, Shanghai 201210, China.
Lisha XiaiHuman Institute, ShanghaiTech University, Shanghai 201210, China.
Chen PaniHuman Institute, ShanghaiTech University, Shanghai 201210, China.
Xiaoxiao DuaniHuman Institute, ShanghaiTech University, Shanghai 201210, China.
Ting DangiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0002-5613-7036
Hui LiiHuman Institute, ShanghaiTech University, Shanghai 201210, China.
Chengyu FanSchool of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Pan TangiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0003-1417-0329
Zhuangzhuang ZhangiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0003-1576-8349
Yan LiuiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0002-7682-3498
Yunxia LiInterdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China.ORCID 0000-0001-6377-1281
Fei XuiHuman Institute, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0003-0719-3901
Yaoyang ZhangInterdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 201210, China.ORCID 0000-0001-5363-9834
Guisheng ZhongiHuman Institute, ShanghaiTech University, Shanghai 201210, China. shuiwq@shanghaitech.edu.cn huji@shanghaitech.edu.cn zhongsh@shanghaitech.edu.cn.ORCID 0000-0003-0416-3774
Ji HuSchool of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China. shuiwq@shanghaitech.edu.cn huji@shanghaitech.edu.cn zhongsh@shanghaitech.edu.cn.ORCID 0000-0001-7930-2316
Wenqing ShuiiHuman Institute, ShanghaiTech University, Shanghai 201210, China. shuiwq@shanghaitech.edu.cn huji@shanghaitech.edu.cn zhongsh@shanghaitech.edu.cn.ORCID 0000-0002-5245-2477
ShanghaiTech University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transmembrane proteins play vital roles in mediating synaptic transmission, plasticity, and homeostasis in the brain. However, these proteins, especially the G protein-coupled receptors (GPCRs), are underrepresented in most large-scale proteomic surveys. Here, we present a new proteomic approach aided by deep learning models for comprehensive profiling of transmembrane protein families in multiple mouse brain regions. Our multiregional proteome profiling highlights the considerable discrepancy between messenger RNA and protein distribution, especially for region-enriched GPCRs, and predicts an endogenous GPCR interaction network in the brain. Furthermore, our new approach reveals the transmembrane proteome remodeling landscape in the brain of a mouse depression model, which led to the identification of two previously unknown GPCR regulators of depressive-like behaviors. Our study provides an enabling technology and rich data resource to expand the understanding of transmembrane proteome organization and dynamics in the brain and accelerate the discovery of potential therapeutic targets for depression treatment.

Indexed as

ProteomeProteomicsAnimalsBrainDepressionMiceReceptors, G-Protein-CoupledProteomeReceptors, G-Protein-Coupled

Identifiers

PMID34290087
PMCPMC8294761
OpenAlexW3185710314

What Socratic 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 Socratic graph.