基于单细胞RNA测序数据的急性髓系白血病生物标志物的鉴定和实验验证。

IF 3 3区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Molecular and Cellular Probes Pub Date : 2026-02-01 Epub Date: 2025-12-23 DOI:10.1016/j.mcp.2025.102059
Xin Yang, Siyue Zhou, Yuanju Chen, Ying Wang, Yujing Cheng, Chan Zhang, Qi Li
{"title":"基于单细胞RNA测序数据的急性髓系白血病生物标志物的鉴定和实验验证。","authors":"Xin Yang,&nbsp;Siyue Zhou,&nbsp;Yuanju Chen,&nbsp;Ying Wang,&nbsp;Yujing Cheng,&nbsp;Chan Zhang,&nbsp;Qi Li","doi":"10.1016/j.mcp.2025.102059","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Acute myeloid leukemia (AML) is a highly diverse malignant tumor at the molecular level with a high mortality rate. However, its underlying mechanisms remain poorly understood, and reliable biomarkers are lacking.</div></div><div><h3>Methods</h3><div>AML-related biomarkers were identified through a comprehensive analysis of single-cell RNA sequencing (scRNA-seq), Mendelian randomization (MR), and gene regulatory networks. The biomarkers were then subjected to GSEA enrichment analysis and in vitro experimental validation.</div></div><div><h3>Results</h3><div>scRNA-seq identified a total of 22,742 cells with detectable gene expression. Among the differentially expressed genes in the cells, 174 marker genes were screened out. MR analysis of marker genes showed that ITGB2, AIF1, CA2, CST7, and JCHAIN had a significant causal relationship with AML. Cumulative recovery curve analysis showed that AIF1, CST7, and ITGB2 were in the top motifs with the highest normalized enrichment scores. Therefore, they were recorded as biomarkers. Cellular experiments confirmed that AIF1, CST7, and ITGB2 promote cell proliferation and inhibit apoptosis.</div></div><div><h3>Conclusion</h3><div>This study identified AIF1, CST7, and ITGB2 as biomarkers for AML through scRNA-seq, MR, and transcription factor enrichment analysis. Additionally, in vitro experiments, including cell transfection, cell proliferation, and flow cytometry, validated the important role of these biomarkers in promoting the malignant phenotype of AML.</div></div>","PeriodicalId":49799,"journal":{"name":"Molecular and Cellular Probes","volume":"85 ","pages":"Article 102059"},"PeriodicalIF":3.0000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification and experimental validation of biomarkers for acute myeloid leukemia based on single-cell RNA sequencing data\",\"authors\":\"Xin Yang,&nbsp;Siyue Zhou,&nbsp;Yuanju Chen,&nbsp;Ying Wang,&nbsp;Yujing Cheng,&nbsp;Chan Zhang,&nbsp;Qi Li\",\"doi\":\"10.1016/j.mcp.2025.102059\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Acute myeloid leukemia (AML) is a highly diverse malignant tumor at the molecular level with a high mortality rate. However, its underlying mechanisms remain poorly understood, and reliable biomarkers are lacking.</div></div><div><h3>Methods</h3><div>AML-related biomarkers were identified through a comprehensive analysis of single-cell RNA sequencing (scRNA-seq), Mendelian randomization (MR), and gene regulatory networks. The biomarkers were then subjected to GSEA enrichment analysis and in vitro experimental validation.</div></div><div><h3>Results</h3><div>scRNA-seq identified a total of 22,742 cells with detectable gene expression. Among the differentially expressed genes in the cells, 174 marker genes were screened out. MR analysis of marker genes showed that ITGB2, AIF1, CA2, CST7, and JCHAIN had a significant causal relationship with AML. Cumulative recovery curve analysis showed that AIF1, CST7, and ITGB2 were in the top motifs with the highest normalized enrichment scores. Therefore, they were recorded as biomarkers. Cellular experiments confirmed that AIF1, CST7, and ITGB2 promote cell proliferation and inhibit apoptosis.</div></div><div><h3>Conclusion</h3><div>This study identified AIF1, CST7, and ITGB2 as biomarkers for AML through scRNA-seq, MR, and transcription factor enrichment analysis. Additionally, in vitro experiments, including cell transfection, cell proliferation, and flow cytometry, validated the important role of these biomarkers in promoting the malignant phenotype of AML.</div></div>\",\"PeriodicalId\":49799,\"journal\":{\"name\":\"Molecular and Cellular Probes\",\"volume\":\"85 \",\"pages\":\"Article 102059\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2026-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular and Cellular Probes\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0890850825000520\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/12/23 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular and Cellular Probes","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0890850825000520","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/23 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

背景:急性髓系白血病(Acute myeloid leukemia, AML)是一种在分子水平上高度分化、死亡率高的恶性肿瘤。然而,其潜在机制仍然知之甚少,并且缺乏可靠的生物标志物。方法:通过单细胞RNA测序(scRNA-seq)、孟德尔随机化(MR)和基因调控网络的综合分析,鉴定aml相关的生物标志物。然后对生物标志物进行GSEA富集分析和体外实验验证。结果:scRNA-seq共鉴定出22,742个可检测到基因表达的细胞。在细胞中差异表达基因中,筛选出174个标记基因。标记基因MR分析显示,ITGB2、AIF1、CA2、CST7和JCHAIN与AML有显著的因果关系。累积恢复曲线分析显示AIF1、CST7和ITGB2是归一化富集分数最高的基序。因此,它们被记录为生物标志物。细胞实验证实AIF1、CST7、ITGB2促进细胞增殖,抑制细胞凋亡。结论:本研究通过scRNA-seq、MR和转录因子富集分析确定了AIF1、CST7和ITGB2是AML的生物标志物。此外,包括细胞转染、细胞增殖和流式细胞术在内的体外实验验证了这些生物标志物在促进AML恶性表型中的重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification and experimental validation of biomarkers for acute myeloid leukemia based on single-cell RNA sequencing data

Background

Acute myeloid leukemia (AML) is a highly diverse malignant tumor at the molecular level with a high mortality rate. However, its underlying mechanisms remain poorly understood, and reliable biomarkers are lacking.

Methods

AML-related biomarkers were identified through a comprehensive analysis of single-cell RNA sequencing (scRNA-seq), Mendelian randomization (MR), and gene regulatory networks. The biomarkers were then subjected to GSEA enrichment analysis and in vitro experimental validation.

Results

scRNA-seq identified a total of 22,742 cells with detectable gene expression. Among the differentially expressed genes in the cells, 174 marker genes were screened out. MR analysis of marker genes showed that ITGB2, AIF1, CA2, CST7, and JCHAIN had a significant causal relationship with AML. Cumulative recovery curve analysis showed that AIF1, CST7, and ITGB2 were in the top motifs with the highest normalized enrichment scores. Therefore, they were recorded as biomarkers. Cellular experiments confirmed that AIF1, CST7, and ITGB2 promote cell proliferation and inhibit apoptosis.

Conclusion

This study identified AIF1, CST7, and ITGB2 as biomarkers for AML through scRNA-seq, MR, and transcription factor enrichment analysis. Additionally, in vitro experiments, including cell transfection, cell proliferation, and flow cytometry, validated the important role of these biomarkers in promoting the malignant phenotype of AML.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Molecular and Cellular Probes
Molecular and Cellular Probes 生物-生化研究方法
CiteScore
6.80
自引率
0.00%
发文量
52
审稿时长
16 days
期刊介绍: MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书