Evidence map›Paper›PMID 35317194›Full record

ArticleComputational and mathematical methods in medicine2022

Single-Cell Sequencing Revealed Pivotal Genes Related to Prognosis of Myocardial Infarction Patients.

Jiamin Zhou, Tong Wen, Qing Li, Zhixin Chen, Xiaoping Peng, Chunying Wei, Yunfeng Wei, Jingtian Peng, Wei Zhang

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Jiamin ZhouDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Tong WenDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Qing LiDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Zhixin ChenDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Xiaoping PengDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Chunying WeiDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Yunfeng WeiDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Jingtian PengDepartment of Cardiology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province 330006, China.
Wei ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, 17 Yongwai Zhengjie, Donghu District, Nanchang City Jiangxi Province, China.ORCID https://orcid.org/0000-0002-3716-1831
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Myocardial infarction (MI) is a common cardiovascular disease. Histopathology is a main molecular characteristic of MI, but often, differences between various cell subsets have been neglected. Under this premise, MI-related molecular biomarkers were screened using single-cell sequencing. Methods: This work examined immune cell abundance in normal and MI samples from GSE109048 and determined differences in the activated mast cells and activated CD4 memory T cells, resting mast cells. Weighted gene coexpression network analysis (WGCNA) demonstrated that activated CD4 memory T cells were the most closely related to the turquoise module, and 10 hub genes were screened. Single-cell sequencing data (scRNA-seq) of MI were examined. We used Results: We obtained 8 cell subpopulations, each of which had different marker genes. 7 out of the 10 hub genes were detected by single-cell sequencing analysis. The expression quantity and proportion of the 7 genes were different in 8 cell clusters. Conclusion: In general, our study revealed the immune characteristics and determined 7 prognostic markers for MI at the single-cell level, providing a new understanding of the molecular characteristics and mechanism of MI.

Indexed as

Gene Regulatory NetworksGenetic MarkersCD4-Positive T-LymphocytesChemokinesComputational BiologyGene Expression ProfilingGene OntologyHumansImmunologic MemoryMast CellsMyocardial InfarctionPrognosisRNA-SeqSingle-Cell AnalysisStochastic ProcessesChemokinesGenetic Markers

Identifiers

PMID35317194
PMCPMC8934393
OpenAlexW4220738047

What OpenQuestion holds

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LicenceCC BY
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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.