Evidence map›Paper›PMID 34521820›Full record

ArticleCell discovery2021

Single-cell RNA-Seq reveals transcriptional heterogeneity and immune subtypes associated with disease activity in human myasthenia gravis.

Wanlin Jin, Qi Yang, Yuyao Peng, Chengkai Yan, Yi Li, Zhaohui Luo, Bo Xiao, Liqun Xu, Huan Yang

Open access · goldAbstract read
In one paragraph

Article in Cell discovery, 2021. 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
4.6field-weighted citation impact, top 4% 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, 49 citations in OpenAlex.

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  16. Circulating inflammatory proteins as pathogenic mediators and potential therapeutic targets in myasthenia gravis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

9 authors at 1 institution in 1 country.

Wanlin JinDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Qi YangDepartment of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID http://orcid.org/0000-0001-8164-2141
Yuyao PengDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Chengkai YanDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yi LiDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhaohui LuoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Bo XiaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Liqun Xu *Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China. 404608@csu.edu.cn.
Huan Yang *Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China. yangh69@126.com.
Central South University · CN

Funding

AFM-Téléthon (French Muscular Dystrophy Association) 21125National Natural Science Foundation of China (National Science Foundation of China) 81501034National Natural Science Foundation of China (National Science Foundation of China) 81771364
6 · The paper itself

Abstract

Myasthenia gravis (MG) is a rare autoimmune disease. Although the impact of immune cell disorder in MG has been extensively studied, little is known about the transcriptomes of individual cells. Here, we assessed the transcriptional profiles of 39,243 cells by single-cell sequencing and identified 13 major cell clusters, along with 39 subgroups of cells derived from patients with new-onset myasthenia gravis and healthy controls. We found that B cells, CD4

Identifiers

PMID34521820
PMCPMC8440681
OpenAlexW3199305910

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.