Ye Ding, Jingai Zhu, Geng Xu, Qing Cheng, Chun Zhu
{"title":"法洛氏胎儿四联症患者心脏单细胞 RNA 序列分析。","authors":"Ye Ding, Jingai Zhu, Geng Xu, Qing Cheng, Chun Zhu","doi":"10.1159/000540406","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>To explore the cytological characteristics of tetralogy of Fallot (TOF), we collected samples and studied the differences in cytological classification between normal fetal hearts and fetuses with TOF, and then we searched for possible differential genes of disease markers through single-cell sequencing analysis.</p><p><strong>Methods: </strong>In this study, we analyzed the right ventricle of a TOF and a healthy human fetal heart sample by single-cell sequencing. Utilizing Cellranger to perform data quality control filtering, comparison, quantification, and identification of recovered cells on the raw data, ultimately obtaining gene expression matrices for each cell. Subsequently, Seurat was used for further cell filtration, standardization, cell subgroup classification, differential expression gene analysis of each subgroup, and Marker gene screening.</p><p><strong>Results: </strong>Bioinformatic analysis identified 9979 and 15224 cells derived from the healthy and disease samples, respectively, with an average read depth of 25000/cell. The cardiomyocyte cell populations derived from the abnormal samples identified by the first-level graph-based analysis were separated into six distinct cell clusters.</p><p><strong>Conclusions: </strong>Our study reveals some information on TOF in a fetus, which can provide a new reference for early detection and treatment of TOF by comparing it with normal heart cells.</p>","PeriodicalId":9391,"journal":{"name":"Cardiology","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Single-cell RNA-seq analysis hearts in patients with fetal tetralogy of Fallot.\",\"authors\":\"Ye Ding, Jingai Zhu, Geng Xu, Qing Cheng, Chun Zhu\",\"doi\":\"10.1159/000540406\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>To explore the cytological characteristics of tetralogy of Fallot (TOF), we collected samples and studied the differences in cytological classification between normal fetal hearts and fetuses with TOF, and then we searched for possible differential genes of disease markers through single-cell sequencing analysis.</p><p><strong>Methods: </strong>In this study, we analyzed the right ventricle of a TOF and a healthy human fetal heart sample by single-cell sequencing. Utilizing Cellranger to perform data quality control filtering, comparison, quantification, and identification of recovered cells on the raw data, ultimately obtaining gene expression matrices for each cell. Subsequently, Seurat was used for further cell filtration, standardization, cell subgroup classification, differential expression gene analysis of each subgroup, and Marker gene screening.</p><p><strong>Results: </strong>Bioinformatic analysis identified 9979 and 15224 cells derived from the healthy and disease samples, respectively, with an average read depth of 25000/cell. The cardiomyocyte cell populations derived from the abnormal samples identified by the first-level graph-based analysis were separated into six distinct cell clusters.</p><p><strong>Conclusions: </strong>Our study reveals some information on TOF in a fetus, which can provide a new reference for early detection and treatment of TOF by comparing it with normal heart cells.</p>\",\"PeriodicalId\":9391,\"journal\":{\"name\":\"Cardiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cardiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000540406\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cardiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000540406","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Single-cell RNA-seq analysis hearts in patients with fetal tetralogy of Fallot.
Introduction: To explore the cytological characteristics of tetralogy of Fallot (TOF), we collected samples and studied the differences in cytological classification between normal fetal hearts and fetuses with TOF, and then we searched for possible differential genes of disease markers through single-cell sequencing analysis.
Methods: In this study, we analyzed the right ventricle of a TOF and a healthy human fetal heart sample by single-cell sequencing. Utilizing Cellranger to perform data quality control filtering, comparison, quantification, and identification of recovered cells on the raw data, ultimately obtaining gene expression matrices for each cell. Subsequently, Seurat was used for further cell filtration, standardization, cell subgroup classification, differential expression gene analysis of each subgroup, and Marker gene screening.
Results: Bioinformatic analysis identified 9979 and 15224 cells derived from the healthy and disease samples, respectively, with an average read depth of 25000/cell. The cardiomyocyte cell populations derived from the abnormal samples identified by the first-level graph-based analysis were separated into six distinct cell clusters.
Conclusions: Our study reveals some information on TOF in a fetus, which can provide a new reference for early detection and treatment of TOF by comparing it with normal heart cells.
期刊介绍:
''Cardiology'' features first reports on original clinical, preclinical and fundamental research as well as ''Novel Insights from Clinical Experience'' and topical comprehensive reviews in selected areas of cardiovascular disease. ''Editorial Comments'' provide a critical but positive evaluation of a recent article. Papers not only describe but offer critical appraisals of new developments in non-invasive and invasive diagnostic methods and in pharmacologic, nutritional and mechanical/surgical therapies. Readers are thus kept informed of current strategies in the prevention, recognition and treatment of heart disease. Special sections in a variety of subspecialty areas reinforce the journal''s value as a complete record of recent progress for all cardiologists, internists, cardiac surgeons, clinical physiologists, pharmacologists and professionals in other areas of medicine interested in current activity in cardiovascular diseases.