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综合scRNA-Seq和Bulk RNA-Seq技术建立与肝癌CD8^(+)T细胞相关的预后模型 被引量:1
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作者 刘洋 池晴佳 田菲菲 《西安交通大学学报(医学版)》 北大核心 2025年第1期169-177,共9页
目的 通过单细胞测序(scRNA-Seq)和Bulk转录组测序(Bulk RNA-Seq)技术鉴定出与肝癌CD8^(+)T细胞相关的生物标志物并建立预后模型。方法 从GEO数据库中下载肝癌的单细胞数据集,通过scRNA-Seq技术提取患者与对照组间CD8^(+)T细胞的差异表... 目的 通过单细胞测序(scRNA-Seq)和Bulk转录组测序(Bulk RNA-Seq)技术鉴定出与肝癌CD8^(+)T细胞相关的生物标志物并建立预后模型。方法 从GEO数据库中下载肝癌的单细胞数据集,通过scRNA-Seq技术提取患者与对照组间CD8^(+)T细胞的差异表达基因。从TCGA数据库中下载肝癌的基因表达谱数据及临床数据,使用CIBERSORT算法、WGCNA技术筛选出与CD8^(+)T细胞具有相关性的模块基因。将差异基因与模块基因取交集基因并进行GO、KEGG分析,应用单因素COX回归分析和LASSO算法建立预后模型。通过K-M曲线和ROC曲线对模型在内、外部数据集中的预测效果进行验证。根据风险评分的中位值划分高低风险组,对高低风险组间的浸润性免疫细胞分布情况和肿瘤突变情况进行分析。结果 构建出具有9个基因的预后模型,K-M曲线及ROC曲线表明模型在内、外部数据集中均具有良好的预测能力,在高低风险组中,浸润性免疫细胞的分布情况和基因突变情况均存在显著差异。结论 本研究结合scRNA-Seq和Bulk RNA-Seq技术利用生物信息学方法开发出了一种基于CD8^(+)T细胞的新型预后模型,为肝癌患者的预后改善和生存预测提供了可靠的理论依据。 展开更多
关键词 肝癌 单细胞测序(scrna-seq) Bulk转录组测序(Bulk RNA-Seq) CD8^(+)T细胞 预后模型
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ScRNA-seq and Experimental Analyses Unveil Lrg1 Regulating the Oxidative Phosphorylation Pathway to Affect Neutrophil Accumulation after Cerebral Ischemia-Reperfusion
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作者 Luyao Jiang Longsheng Fu +5 位作者 Shaofeng Xiong Guosheng Cao Yanqin Mei Yaoqi Wu Jin Chen Yanni Lv 《BIOCELL》 2025年第9期1749-1769,共21页
ABSTRACT:Background:After ischemic stroke,neutrophils hyperactivate,increasing in number and worsening inflammation,causing neural damage.Prior scRNA-seq showed Lrg1 modulates cells subsentence to cerebral ischemiarep... ABSTRACT:Background:After ischemic stroke,neutrophils hyperactivate,increasing in number and worsening inflammation,causing neural damage.Prior scRNA-seq showed Lrg1 modulates cells subsentence to cerebral ischemiareperfusion injury,but its mechanism in regulating neutrophil accumulation/differentiation post-injury is unclear.Methods:Lrg1 knockout impact on neutrophil accumulation was assessed via immunofluorescence and western blot.Three-dimensional reconstruction of immunofluorescent staining analyzed cell-cell interactions among neutrophils and microglia.scRNA-seq of WT and Lrg1^(-/-)mice from GSE245386 and GSE279462 was conducted.Each group conducted oxidative phosphorylation scoring via Gene Set Enrichment Analysis(GSEA),while Metascape was employed to perform GO and KEGG enrichment analyses for elucidating functional mechanisms.CellChat exhibited cell-cell communication.Furthermore,alterations in microglial phagocytic activity were evaluated by immunostaining for CD68,a well-established marker of phagolysosomal activity in phagocytic cells.Brain energy metabolism was evaluated via glutamate dehydrogenase activity and ATP levels with ELISA,and enzyme expression was analyzed by immunofluorescence and western blot.Results:Lrg1 knockout decreased neutrophil accumulation and NET formation in mice.3D immunofluorescence reconstruction confirmed neutrophil co-localization with endothelial cells/microglia.scRNA-seq revealed that the oxidative phosphorylation score was significantly higher in the MCAO/R+WT group compared to both the Sham-operated+WT and Lrg1^(-/-)groups.Notably,the oxidative phosphorylation score was further elevated in the MCAO/R+Lrg1^(-/-)group.Immunostaining showed that Lrg1 knockout elevated CD68+lysosome expression post-MCAO/R,with TMEM119 colocalizing with these lysosomes.MCAO/R raised CD68 expression in ischemic brains,an effect further intensified by Lrg1 knockout.KEGG analysis linked differential genes to oxidative phosphorylation pathways.Validation in MCAO/R vs.sham groups revealed increased ROS production and reduced expression of complex enzymes I-V(NDUFB8,SDHB,UQCRC1,MTCO2,ATP5A1).Lrg1 intervention increased enzyme expression.Immunofluorescence and western blot in brain tissue showed similar patterns in microglia and enzymes I-V.Conclusions:Lrg1 knockout significantly enhances microglial phagocytic activity towards neutrophils subsequent to cerebral ischemia-reperfusion injury,through its regulatory effect on the oxidative phosphorylation pathway.This finding accentuates Lrg1 as a highly potential therapeutic target for intervening in and modulating post-ischemic inflammatory responses. 展开更多
关键词 Leucine-rich alpha-2-glycoprotein 1 NEUTROPHIL MICROGLIA scrna-seq cerebral ischemia-reperfusion
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基于自适应图正则化低秩表示的scRNA-seq数据分析方法
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作者 冯思凡 王振友 金应华 《广东工业大学学报》 2025年第5期129-136,共8页
单细胞RNA测序(scRNA-seq)技术可以用于研究单个细胞的基因表达情况,生成大量的单细胞基因表达数据。这类数据通常具有高维度和复杂的结构,需要进行降维和聚类分析来揭示细胞类型和状态之间的差异。本文提出了一种基于自适应图正则化低... 单细胞RNA测序(scRNA-seq)技术可以用于研究单个细胞的基因表达情况,生成大量的单细胞基因表达数据。这类数据通常具有高维度和复杂的结构,需要进行降维和聚类分析来揭示细胞类型和状态之间的差异。本文提出了一种基于自适应图正则化低秩表示的scRNA-seq数据分析方法——scLRRAGR。该方法可以充分利用scRNA-seq数据的全局和局部信息进行图学习,并通过自适应图正则化和引入秩约束来捕捉细胞之间的相似性和相互作用,更好地反映细胞之间的聚类结构,帮助揭示不同细胞类型和状态之间的差异。在应用该方法时,可以将scRNA-seq数据转换为一个图结构,其中每个节点表示一个单细胞样本,边表示细胞之间的相似性或相互作用。然后使用该方法对图进行学习和优化,得到最优的图表示。最后,可以使用聚类算法将学习到的图表示应用于细胞类型和状态的识别。实验结果表明,本文方法应用在scRNA-seq数据集上能够显著提高聚类性能。 展开更多
关键词 scrna-seq数据 细胞聚类 图正则化 低秩表示 秩约束
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Microbiota-mediated shaping of mouse spleen structure and immune function characterized by scRNA-seq and Stereo-seq 被引量:6
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作者 Yin Zhang Juan Shen +16 位作者 Wei Cheng Bhaskar Roy Ruizhen Zhao Tailiang Chai Yifei Sheng Zhao Zhang Xueting Chen Weiming Liang Weining Hu Qijun Liao Shanshan Pan Wen Zhuang Yangrui Zhang Rouxi Chen Junpu Mei Hong Wei Xiaodong Fang 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2023年第9期688-701,共14页
Gut microbes exhibit complex interactions with their hosts and shape an organism's immune system throughout its lifespan.As the largest secondary lymphoid organ,the spleen has a wide range of immunological functio... Gut microbes exhibit complex interactions with their hosts and shape an organism's immune system throughout its lifespan.As the largest secondary lymphoid organ,the spleen has a wide range of immunological functions.To explore the role of microbiota in regulating and shaping the spleen,we employ scRNA-seq and Stereo-seq technologies based on germ-free(GF)mice to detect differences in tissue size,anatomical structure,cell types,functions,and spatial molecular characteristics.We identify 18 cell types,9 subtypes of T cells,and 7 subtypes of B cells.Gene differential expression analysis reveals that the absence of microorganisms results in alterations in erythropoiesis within the red pulp region and congenital immune deficiency in the white pulp region.Stereo-seq results demonstrate a clear hierarchy of immune cells in the spleen,including marginal zone(MZ)macrophages,MZ B cells,follicular B cells and T cells,distributed in a well-defined pattern from outside to inside.However,this hierarchical structure is disturbed in GF mice.Ccr7 and Cxcl13 chemokines are specifically expressed in the spatial locations of T cells and B cells,respectively.We speculate that the microbiota may mediate the structural composition or partitioning of spleen immune cells by modulating the expression levels of chemokines. 展开更多
关键词 scrna-seq Spatial transcriptome GF mouse Spleen structure MICROBIOTA Immune function
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ScRNA-seq reveals the correlation between M2 phenotype of tumorassociated macrophages and lymph node metastasis of breast cancer 被引量:2
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作者 JUN SHEN HONGFANG MA +1 位作者 YONGXIA CHEN JIANGUO SHEN 《Oncology Research》 SCIE 2023年第6期955-966,共12页
The process of lymphatic metastasis was proved to be associated with podoplanin-expressing macrophages in breast cancer(BC).This study aimed to investigate the role of the M2 phenotype of tumor-associated macrophages ... The process of lymphatic metastasis was proved to be associated with podoplanin-expressing macrophages in breast cancer(BC).This study aimed to investigate the role of the M2 phenotype of tumor-associated macrophages and mine the key M2 macrophages-related genes for lymph node metastasis in BC.We downloaded the GSE158399 dataset from the Gene Expression Omnibus(GEO)database,which includes transcriptomic profiles of individual cells from primary tumors,negative lymph nodes(NLNs),and positive lymph nodes(PLNs)of breast cancer patients.The cell subsets were identified by clustering analysis after quality control of the scRNA-seq using Seurat.The activation and migration capability of M2 macrophages were evaluated with R package“GSVA”.The key M2 macrophages-related genes were screened from the differential expressed genes(DEGs)and M2 macrophages activation and migration gene sets collected from MSigDB database.Our analysis identified three main cell types in primary tumors,NLNs,and PLNs:basal cells,luminal cells,and immune cell subsets.The further cell type classification of immune cell subsets indicated M2 macrophages accumulation in NLs and PLs.The GSVA enrichment scores for activation and migration capability were increased significantly in M2 macrophages from primary tumors than NLNs and PLNs(pvalue<0.001).Seven M2 macrophages activation-related and 15 M2 macrophages migration-related genes were significantly up-regulated in primary tumors than NLNs and PLNs.The proportion and GSVA enrichment scores for activation and migration of M2 macrophages may be potential markers for lymph node metastasis in breast cancer.Our study demonstrated that twenty-two up-regulated mRNA may be possible therapeutic targets for lymph node metastasis in breast cancer. 展开更多
关键词 M2 macrophages Breast cancer Lymph node Metastasis scrna-seq
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A Feature Extraction Method for scRNA-seq Processing and Its Application on COVID-19 Data Analysis 被引量:1
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作者 Xiumin Shi Xiyuan Wu Hengyu Qin 《Journal of Beijing Institute of Technology》 EI CAS 2022年第3期285-292,共8页
Single-cell RNA-sequencing(scRNA-seq)is a rapidly increasing research area in biomed-ical signal processing.However,the high complexity of single-cell data makes efficient and accurate analysis difficult.To improve th... Single-cell RNA-sequencing(scRNA-seq)is a rapidly increasing research area in biomed-ical signal processing.However,the high complexity of single-cell data makes efficient and accurate analysis difficult.To improve the performance of single-cell RNA data processing,two single-cell features calculation method and corresponding dual-input neural network structures are proposed.In this feature extraction and fusion scheme,the features at the cluster level are extracted by hier-archical clustering and differential gene analysis,and the features at the cell level are extracted by the calculation of gene frequency and cross cell frequency.Our experiments on COVID-19 data demonstrate that the combined use of these two feature achieves great results and high robustness for classification tasks. 展开更多
关键词 biomedical signal processing scrna-seq feature extraction COVID-19
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scRNA-seq reveals that origin recognition complex subunit 6 regulates mouse spermatogonial cell proliferation and apoptosis via activation of Wnt/β-catenin signaling
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作者 Shi-Wei Liu Jia-Qiang Luo +11 位作者 Liang-Yu Zhao Ning-Jing Ou Chao-Yang Yu-Xiang Zhang Hao-Wei Bai Hong-Fang Sun Jian-Xiong Zhang Chen-Cheng Yao Peng Li Ru-Hui Tian Zheng Li Zi-Jue Zhu 《Asian Journal of Andrology》 SCIE CAS CSCD 2024年第1期46-56,共11页
The regulation of spermatogonial proliferation and apoptosis is of great significance for maintaining spermatogenesis.The single-cell RNA sequencing(scRNA-seq)analysis of the testis was performed to identify genes upr... The regulation of spermatogonial proliferation and apoptosis is of great significance for maintaining spermatogenesis.The single-cell RNA sequencing(scRNA-seq)analysis of the testis was performed to identify genes upregulated in spermatogonia.Using scRNAseq analysis,we identified the spermatogonia upregulated gene origin recognition complex subunit 6(Orc6),which is involved in DNA replication and cell cycle regulation;its protein expression in the human and mouse testis was detected by western blot and immunofluorescence.To explore the potential function of Orc6 in spermatogonia,the C18-4 cell line was transfected with control or Orc6 siRNA.Subsequently,5-ethynyl-2-deoxyuridine(EdU)and terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL)assays,flow cytometry,and western blot were used to evaluate its effects on proliferation and apoptosis.It was revealed that ORC6 could promote proliferation and inhibit apoptosis of C18-4 cells.Bulk RNA sequencing and bioinformatics analysis indicated that Orc6 was involved in the activation of wingless/integrated(Wnt)/β-catenin signaling.Western blot revealed that the expression ofβ-catenin protein and its phosphorylation(Ser675)were significantly decreased when silencing the expression of ORC6.Our findings indicated that Orc6 was upregulated in spermatogonia,whereby it regulated proliferation and apoptosis by activating Wnt/β-catenin signaling. 展开更多
关键词 cell proliferation ORCG scrna-seq analysis SPERMATOGONIA Wnt/β-catenin signaling
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Integration of scRNA-Seq and Bulk RNA-Seq to analyze the heterogeneity ofcolorectal cancer immune cells and establish a molecular risk model
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作者 Li-Yue Sun Jiao-Jiao Yang +4 位作者 Xin-Xin Zeng Yu-Ying Jiang Ju Shen Fang Wang Xu-Hui Zhang 《Cancer Advances》 2023年第22期1-10,共10页
Background:Colorectal cancer(CRC)is a highly heterogeneous malignant tumor that significantly impacts clinical diagnosis and treatment.Single-cell RNA sequencing is an innovative method for exploring tumor heterogenei... Background:Colorectal cancer(CRC)is a highly heterogeneous malignant tumor that significantly impacts clinical diagnosis and treatment.Single-cell RNA sequencing is an innovative method for exploring tumor heterogeneity and understanding its role at cellular and genetic levels.Method:The colorectal cancer Single-cell RNA sequencing data were analysed on the immune.RNA-seq data in bulk form was utilized to assess the major genes of the immune cell subsets linked to CRC.We conducted an analysis of the abundance of immune cells in the microenvironment of CRC,and also performed weighted gene co-expression network analysis.Gene set enrichment analysis helped perform two analytical procedures of subtype groups.Furthermore,Least absolute shrinkage and selection operator regression was employed to analyse and screen for a gene signature.Finally,quantitative PCR Was performed to detect the expression levels of signature genes in CRC.Results:The Single-cell RNA sequencing(GSE146771)dataset was integrated to obtain 9 cell clusters.The Single-sample gene set enrichment analysis showed that the related gene expression of T-cell subsets of different functional statuses could vary greatly between patients with GSE146771.Immune cell analysis of TCGA-CRC indicated an improved overall survival rate for patients with elevated Th2 cell abundance.Five-gene signature(Risk Score=-0.205×CDC25C-0.231×GSTCD-0.010×KPNA2-0.002×KIF15-0.171×ORC1)was developed by weighted correlation network analysis,and lasso Cox regression.Then,the risk prediction efficacy of the signature was validated in four GSE datasets.Furthermore,the expression of five genes was reduced in CRC tissue by quantitative PCR.Conclusion:Five-gene signature based on CRC heterogeneity was developed as a prognosis predictor,which can serve as a potential treatment target. 展开更多
关键词 colorectal cancer scrna-seq Th2 cells 5-gene signature risk prognosis
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基于生物信息学探究鳖甲煎丸对肝细胞癌的调控机制 被引量:1
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作者 于欣萍 王诗尧 孟庆刚 《中华中医药学刊》 北大核心 2025年第4期82-89,I0022-I0026,共13页
目的基于生物信息学探究肝癌发生发展的潜在分子机制,筛选并验证鳖甲煎丸对肝癌起调控作用的机制和靶点。方法下载GEO数据库中的肝细胞癌(hepatocellular carcinoma,HCC)单细胞数据,处理后进行通讯分析、富集与代谢分析、细胞亚群再分... 目的基于生物信息学探究肝癌发生发展的潜在分子机制,筛选并验证鳖甲煎丸对肝癌起调控作用的机制和靶点。方法下载GEO数据库中的肝细胞癌(hepatocellular carcinoma,HCC)单细胞数据,处理后进行通讯分析、富集与代谢分析、细胞亚群再分析。接下来,收集鳖甲煎丸药物成分及作用靶点,结合转录组学结果,确定鳖甲煎丸与HCC的交集靶点并分析。最后,从PDB数据库和PubChem数据库中获取蛋白和小分子信息,模拟药-靶分子对接;通过计算机构建动力学模拟环境,评估交互作用。收集鳖甲煎丸药物成分及作用靶点,分析其与HCC的交集靶点;从PDB数据库和PubChem数据库中获取蛋白和小分子信息,模拟药-靶分子对接;通过计算机构建动力学模拟环境,评估交互作用。结果转录组学结果显示,HCC癌旁组中细胞间通讯更为活跃;细胞大多富集在细胞周期检查点和免疫反应相关通路;肝细胞代谢活跃,免疫细胞代谢抑制;自然杀伤(natural killer cell,NK)细胞逐渐由具备正常杀伤能力向低杀伤能力演化、肝细胞逐渐由正常肝细胞向癌细胞演化。网络药理学结果显示,鳖甲煎丸调控HCC的潜在作用靶点有124个,大多富集在免疫反应、炎症反应、糖酵解、白介素-17等通路。选择关键蛋白与药物潜在作用靶点进行分子对接,对结合亲和力最强的前三者进行动力学模拟,结果显示这三种受体-配体复合物结合较稳定。结论HCC细胞可能通过扰乱细胞周期和免疫功能促进其恶性增殖和免疫逃逸;鳖甲煎丸可能通过调节抗炎、免疫反应、细胞分裂等通路达到抗肿瘤效果;关键的药-靶关系在分子对接与分子动力学验证中得到了较好结果,证明其具有较好的亲和力。 展开更多
关键词 肝癌 鳖甲煎丸 scrna-seq分析 分子动力学模拟 分子对接
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单细胞转录组测序技术及其在猪生产中的应用
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作者 兰运茂 曹勇杰 +6 位作者 吴玲想 孟昕彤 邓晓 王应航 李梅 潘盈顺 赵桂英 《中国畜牧杂志》 北大核心 2025年第5期14-20,共7页
随着测序技术的快速发展和测序成本的大大降低,单细胞转录组测序(Single-cell RNA-sequencing,scRNA-seq)技术已经广泛应用于猪的疾病免疫、繁殖育种、骨骼肌发育、脂肪沉积等方面。scRNA-seq是在单细胞水平上对RNA进行高通量测序和分... 随着测序技术的快速发展和测序成本的大大降低,单细胞转录组测序(Single-cell RNA-sequencing,scRNA-seq)技术已经广泛应用于猪的疾病免疫、繁殖育种、骨骼肌发育、脂肪沉积等方面。scRNA-seq是在单细胞水平上对RNA进行高通量测序和分析的新技术,能更全面、清晰地解析细胞间的异质性。本文简述了scRNA-seq技术的原理和检测分析方法,并综述了该技术在养猪生产中的应用,旨在为猪遗传基础研究提供参考。 展开更多
关键词 scrna-seq 高通量测序 猪生产 应用
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基于单细胞测序技术的神经系统疾病研究 被引量:1
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作者 申佳怡 张文胜 《齐齐哈尔医学院学报》 2025年第4期385-389,共5页
全球范围内神经系统疾病发病率的逐步攀升给医疗系统和社会资源带来了巨大挑战。近年来,随着单细胞测序技术的不断完善和发展,我们得以有效构建脑细胞图谱,从而更精确地理解神经细胞之间的相互作用以及不同细胞之间的差异,为探索神经系... 全球范围内神经系统疾病发病率的逐步攀升给医疗系统和社会资源带来了巨大挑战。近年来,随着单细胞测序技术的不断完善和发展,我们得以有效构建脑细胞图谱,从而更精确地理解神经细胞之间的相互作用以及不同细胞之间的差异,为探索神经系统疾病的致病机制和开发治疗方法提供了重要的科学依据。本综述简要概述了单细胞基因组测序(single-cell DNA sequencing, scDNA-seq)、单细胞DNA甲基化组测序(single-cell DNA methylome sequencing, scDNA-Met-seq)以及单细胞转录组测序(single-cell RNA sequencing, scRNA-seq)的方法和原理,介绍了单细胞转录组测序的基本流程,总结分析了单细胞测序技术在神经发育障碍(如自闭症)、神经退行性疾病(如帕金森病和阿尔茨海默病)以及神经免疫性疾病(如多发性硬化)等不同类型神经系统疾病中的研究进展和应用方向,以期为神经系统疾病的致病机制发现、治疗方法开发以及药物靶点发现提供新的思路。 展开更多
关键词 单细胞测序(scrna-seq) 神经系统 疾病
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FOXO1在甲状腺乳头状癌组织中的表达及其临床意义
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作者 韦干观 李柳艳 +3 位作者 危丹明 庞玉艳 陈罡 史琳 《生物医学工程与临床》 2025年第2期240-249,共10页
目的检测叉头框蛋白O1(FOXO1)在甲状腺乳头状癌(PTC)患者中的表达,探讨其潜在的分子机制。方法收集90例PTC及23例非癌甲状腺组织(组织芯片编号THC1021和THC961,桂林泛谱公司),以及40例PTC和64例非癌甲状腺组织样本(广西医科大学第一附... 目的检测叉头框蛋白O1(FOXO1)在甲状腺乳头状癌(PTC)患者中的表达,探讨其潜在的分子机制。方法收集90例PTC及23例非癌甲状腺组织(组织芯片编号THC1021和THC961,桂林泛谱公司),以及40例PTC和64例非癌甲状腺组织样本(广西医科大学第一附属医院提供)。通过免疫组化检测FOXO1在PTC中的表达情况,利用基因表达综合数据库(GEO)、癌症基因组图谱(TCGA)和ArrayExpress多个高通量人群数据库进行FOXO1 mRNA表达同步验证。采用单细胞测序数据评估FOXO1在PTC细胞中的表达。此外,实验探索了FOXO1可能发挥生物学功能的方式,整合FOXO1的相关基因、FOXO1的靶基因与PTC上调的差异表达基因(UDEG),取交集并进行基因本体(GO)富集、京都基因与基因组百科全书(KEGG)通路和蛋白-蛋白相互作用(PPI)分析。结果免疫组化显示PTC(n=130)中FOXO1表达显著低于非癌甲状腺组织(n=87)。高通量人群数据库分析结果发现,在11个高通量平台中,7个数据集显示PTC中FOXO1 mRNA表达水平较非癌组织下调(P<0.05),标准平均差(SMD)为-0.29(95%CI=-0.38~-0.20),低表达FOXO1的汇总受试者工作特性(sROC)的曲线下面积(AUC)为0.70(95%CI=0.66~0.74)。单细胞测序分析结果显示,FOXO1表达水平也在PTC细胞中显著下调(P<0.0001)。在GO注释中,生物过程(BP)、细胞成分(CC)和分子功能(MF)的排名靠前的项分别是细胞外基质组织、细胞外基质、细胞因子活性。KEGG的主要通路是癌症通路及PI3K-AKt信号通路。结论实验发现FOXO1的下调可能在PTC的发生、发展中起重要作用。 展开更多
关键词 FOXO1 甲状腺乳头状癌 免疫组化 RNA-SEQ 基因芯片 scrna-seq
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The implications of single-cell RNA-seq analysis in prostate cancer:unraveling tumor heterogeneity,therapeutic implications and pathways towards personalized therapy 被引量:1
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作者 De-Chao Feng Wei-Zhen Zhu +8 位作者 Jie Wang Deng-Xiong Li Xu Shi Qiao Xiong Jia You Ping Han Shi Qiu Qiang Wei Lu Yang 《Military Medical Research》 2025年第2期220-241,共22页
In recent years,advancements in single-cell and spatial transcriptomics,which are highly regarded developments in the current era,particularly the emerging integration of single-cell and spatiotemporal transcriptomics... In recent years,advancements in single-cell and spatial transcriptomics,which are highly regarded developments in the current era,particularly the emerging integration of single-cell and spatiotemporal transcriptomics,have enabled a detailed molecular comprehension of the complex regulation of cell fate.The insights obtained from these methodologies are anticipated to significantly contribute to the development of personalized medicine.Currently,single-cell technology is less frequently utilized for prostate cancer compared with other types of tumors.Start-ing from the perspective of RNA sequencing technology,this review outlined the signifcance of single-cell RNA sequencing(scRNA-seq)in prostate cancer research,encompassing preclinical medicine and clinical applications.We summarize the differences between mouse and human prostate cancer as revealed by scRNA-seq studies,as well as a combination of multi-omics methods involving scRNA-seq to highlight the key molecular targets for the diagnosis,treatment,and drug resistance characteristics of prostate cancer.These studies are expected to provide novel insights for the development of immunotherapy and other innovative treatment strategies for castration-resistant prostate cancer.Furthermore,we explore the potential clinical applications stemming from other single-cell technologies in this review,paving the way for future research in precision medicine. 展开更多
关键词 Prostate cancer Single-cell RNA sequencing(scrna-seq) Tumor microenvironment Tumor heterogeneity Treatment resistance Precision medicine
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基于图注意力网络(GAT)的单细胞类型注释方法研究
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作者 孙熠伟 徐淑坦 《基因组学与应用生物学》 北大核心 2025年第6期561-577,共17页
单细胞转录组测序(single-cell RNA sequencing,scRNA-seq)在揭示细胞异质性方面具有重要意义,但现有细胞类型注释方法存在着跨物种适应性、泛化性、类别不平衡等问题。本文提出了一种基于图注意力网络(graph attention network,GAT)的... 单细胞转录组测序(single-cell RNA sequencing,scRNA-seq)在揭示细胞异质性方面具有重要意义,但现有细胞类型注释方法存在着跨物种适应性、泛化性、类别不平衡等问题。本文提出了一种基于图注意力网络(graph attention network,GAT)的细胞类型注释方法ScLabeler。该方法通过结合类别均衡优化策略和图注意力机制,增强了细胞间复杂关系的捕捉,提升了注释的精确度。实验结果表明,ScLabeler在人类(Homo sapiens)、小鼠(Mus musculus)、斑马鱼(Danio rerio)等多物种数据集上的细胞类型注释效果相比Seurat、ScGCN等方法都更为优异,注释的准确率提高了4.62%~35.76%,F1分数提高了5.21%~39.73%;另外注释的结果证明了ScLabeler在细胞类型低丰度识别方面[斑马鱼组织调整兰德指数(adjusted rand index,ARI)提高了9个百分点]与对其他物种泛化性方面[归一化互信息(normalized mutual information,NMI)提升幅度达到11.76%~123.53%]有显著提升。此外,通过UMAP和Sankey图等可视化工具,直观展示了细胞类型分布及预测一致性,为单细胞组学研究提供了高效的注释工具。ScLabeler源码可在https://github.com/bioinfolabdev/ScLabeler下载。 展开更多
关键词 图注意力网络(GAT) 单细胞转录组测序(scrna-seq) 细胞类型注释 类别不平衡
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Proteomic profiling and scRNA sequencing identify signatures associated with Helicobacter pylori infection and risk of developing gastric cancer
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作者 Yu Jin Xue Li +7 位作者 Bingyao Cai Lanxin Yang Wenjing Zhao Hengmin Xu Yang Zhang Zongchao Liu Kaifeng Pan Wenqing Li 《Cancer Biology & Medicine》 2025年第8期946-963,共18页
Objective:The key molecular events signifying the Helicobacter pylori-induced gastric carcinogenesis process are largely unknown.Methods:Bulk tissue-proteomics profiling were leveraged across multi-stage gastric lesio... Objective:The key molecular events signifying the Helicobacter pylori-induced gastric carcinogenesis process are largely unknown.Methods:Bulk tissue-proteomics profiling were leveraged across multi-stage gastric lesions from Linqu(n=166)and Beijing sets(n=99)and single-cell transcriptomic profiling(n=18)to decipher key molecular signatures of H.pylori-related gastric lesion progression and gastric cancer(GC)development.The association of key proteins association with gastric lesion progression and GC development were prospectively studied building on follow-up of the Linqu set and UK Biobank(n=48,529).Results:Concordant proteomics signatures associated with H.pylori infection and gastric carcinogenesis(ρ=0.784,correlation P=1.80×10^(−36))were identified.RNA expression of genes encoding 13 up-and 15 down-regulated key proteins displayed trending alterations in the transition from normal gastric epithelium to intestinal metaplasia,then to malignant cells.A 15-tissue protein panel integrating these signatures demonstrated potential for targeting individuals at high risk for progressing to gastric neoplasia(OR=7.22,95%CI:1.31-39.72 for the high-score group).A 4-circulating protein panel may be used as non-invasive markers predicting the risk of GC development(hazard ratio=3.73,95%confidence interval:1.63-8.54,high-risk vs.low-risk populations,area under the curve=0.75).Conclusions:Concordant proteomics signatures associated with H.pylori infection and gastric carcinogenesis were unveiled with potential as biomarkers for targeted prevention strategies. 展开更多
关键词 Stomach neoplasms Helicobacter pylori PROTEOMICS scrna-seq BIOMARKER
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Single-Nucleus Transcriptomics of the Nucleus Accumbens Reveals Cell-Type-Specific Dysregulation in Adolescent Macaques with Depressive-Like Behaviors
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作者 Teng Teng Qingyuan Wu +5 位作者 Bangmin Yin Jushuang Zhang Xuemei Li Lige Zhang Xinyu Zhou Peng Xie 《Neuroscience Bulletin》 2025年第7期1127-1144,共18页
Adolescent depression is increasingly recognized as a serious mental health disorder with distinct clinical and molecular features.Using single-nucleus RNA sequencing,we identified cell-specific transcriptomic changes... Adolescent depression is increasingly recognized as a serious mental health disorder with distinct clinical and molecular features.Using single-nucleus RNA sequencing,we identified cell-specific transcriptomic changes in the nucleus accumbens(NAc),particularly in astrocytes,of adolescent macaques exhibiting depressive-like behaviors.The level of diacylglycerol kinase beta was significantly reduced in neurons and glial cells of depressed macaques,while FKBP5 levels increased in glial cells.Disruption of GABAergic synapses and disruption of D-glutamine and D-glutamate metabolism were linked to depressive phenotypes in medium spiny neurons(MSNs)and subtypes of astrocytes.Communication pathways between astrocytes and D1/D2-MSNs were also disrupted,involving factors like bone morphogenetic protein-6 and Erb-B2 receptor tyrosine kinase-4.Bulk transcriptomic and proteomic analyses corroborated these findings,and FKBP5 upregulation was confirmed by qRT-PCR,western blotting,and immunofluorescence in the NAc of rats and macaques with chronic unpredictable mild stress.Our results highlight the specific roles of different cell types in adolescent depression in the NAc,offering potential targets for new antidepressant therapies. 展开更多
关键词 Depression ADOLESCENT MACAQUE Nucleus accumbens snrna-seq FKBP5
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Single-nucleus transcriptomes reveal the underlying mechanisms of dynamic whitening in thermogenic adipose tissue in goats
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作者 Manman Li Nange Ma +12 位作者 Shujie Luo Yuyi Lu Xixi Yan Yang Li Xinmei Li Zhuohui Li Zhipei Wu Zhenyu Wei Wei Wang Huimei Fan Yu Jiang Yan Xiong Yu Wang 《Journal of Animal Science and Biotechnology》 2025年第3期1041-1055,共15页
Background Thermogenic adipose tissue,both beige and brown,experiences whitening as animals are exposed to warmth and age,but the potential mechanisms are not fully understood.In this study,we employed singlenucleus R... Background Thermogenic adipose tissue,both beige and brown,experiences whitening as animals are exposed to warmth and age,but the potential mechanisms are not fully understood.In this study,we employed singlenucleus RNA-seq to construct a cell atlas during whitening progression and identified the characteristics of thermogenic adipocytes.Results Our histological studies and bulk transcriptome gene expression analysis confirmed that both perirenal and omental adipose tissues(pAT and oAT)exhibited progressive whitening in goats.Compared to the classic brown adipocytes in mice,goat thermogenic adipocytes were more closely related in gene expression patterns to human beige adipocytes,which was also confirmed by adipocyte type-and lineage-specific marker expression analysis.Furthermore,trajectory analysis revealed beige-and white-like adipocytes deriving from a common origin,coexisting and undergoing the transdifferentiation.In addition,differences in gene expression profiles and cell communication patterns(e.g.,FGF and CALCR signaling)between oAT and pAT suggested a lower thermogenic capacity of oAT than that of pAT.Conclusions We constructed a cell atlas of goat pAT and oAT and descripted the characteristics of thermogenic adipocytes during whitening progression.Altogether,our results make a significant contribution to the molecular and cellular mechanisms behind the whitening of thermogenic adipocytes,and providing new insights into obesity prevention in humans and cold adaptation in animals. 展开更多
关键词 Beige adipocytes snrna-seq Thermogenic adipose tissue WHITENING
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Resolving the spatial and cellular architecture of intra-tumor heterogeneity by multi-region dissection of lung adenocarcinoma
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作者 Song Mei Xiaolei Wang +12 位作者 Mengmeng Zhao Qing Huang Yixuan Huang Mingming Su Xinlei Zhang Xu Wang Xueyu Hao Tianning Wang Yanhua Wu Yuanhui Ma Jingnan Wang Peng Zhang Yan Zheng 《Journal of Genetics and Genomics》 2025年第9期1121-1132,共12页
Although the spatial characteristics within the tumor microenvironment of lung adenocarcinoma(LUAD)have been identified,the mechanisms by which these factors promote LUAD progression and immune evasion remain unclear.... Although the spatial characteristics within the tumor microenvironment of lung adenocarcinoma(LUAD)have been identified,the mechanisms by which these factors promote LUAD progression and immune evasion remain unclear.Using spatial transcriptomics and single-cell RNA-sequencing data from multi-regional LUAD biopsies consisting of tumor core,tumor edge,and normal area,we sought to delineate the spatial heterogeneity and driving factors of cell colocalization.Two cancer cell sub-clusters(Cancer_c1 and Cancer_c2),associated with LUAD initiation and metastasis,respectively,exhibit distinct spatial distributions and immune cell colocalizations.In particular,Cancer_c1,enriched within the tumor core,could directly interact with B cells or indirectly recruit B cells through macrophages.Conversely,Cancer_c2 enriched within the tumor edge exhibits colocalization with CD8^(+)T cells.Collectively,our work elucidates the spatial distribution of cancer cell subtypes and their interaction with immune cells in the core and edge of LUAD,providing insights for developing therapeutic strategies for cancer intervention. 展开更多
关键词 Lung adenocarcinoma Spatial transcriptomics scrna-seq Intra-tumoral heterogeneity Cell colocalizations
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Advancing skeletal health and disease research with single-cell RNA sequencing
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作者 Peng Lin Yi-Bo Gan +15 位作者 Jian He Si-En Lin Jian-Kun Xu Liang Chang Li-Ming Zhao Jun Zhu Liang Zhang Sha Huang Ou Hu Ying-Bo Wang Huai-Jian Jin Yang-Yang Li Pu-Lin Yan Lin Chen Jian-Xin Jiang Peng Liu 《Military Medical Research》 2025年第2期285-310,共26页
Orthopedic conditions have emerged as global health concerns,impacting approximately 1.7 billion individuals worldwide.However,the limited understanding of the underlying pathological processes at the cellular and mol... Orthopedic conditions have emerged as global health concerns,impacting approximately 1.7 billion individuals worldwide.However,the limited understanding of the underlying pathological processes at the cellular and molecular level has hindered the development of comprehensive treatment options for these disorders.The advent of single-cell RNA sequencing(scRNA-seq)technology has revolutionized biomedical research by enabling detailed examination of cellular and molecular diversity.Nevertheless,investigating mechanisms at the single-cell level in highly mineralized skeletal tissue poses technical challenges.In this comprehensive review,we present a streamlined approach to obtaining high-quality single cells from skeletal tissue and provide an overview of existing scRNA-seq technologies employed in skeletal studies along with practical bioinformatic analysis pipelines.By utilizing these methodologies,crucial insights into the developmental dynamics,maintenance of homeostasis,and pathological processes involved in spine,joint,bone,muscle,and tendon disorders have been uncovered.Specifically focusing on the joint diseases of degenerative disc disease,osteoarthritis,and rheumatoid arthritis using scRNA-seq has provided novel insights and a more nuanced comprehension.These findings have paved the way for discovering novel therapeutic targets that offer potential benefits to patients suffering from diverse skeletal disorders. 展开更多
关键词 Skeletal disorders Musculoskeletal system Single-cell RNA sequencing(scrna-seq) Cellular heterogeneity Single cell suspension Bioinformatic analysis
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Single-cell and spatial transcriptomic analysis reveals that an immune cell-related signature could predict clinical outcomes for microsatellite-stable colorectal cancer patients receiving immunotherapy
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作者 Shijin YUAN Yan XIA +11 位作者 Guangwei DAI Shun RAO Rongrong HU Yuzhen GAO Qing QIU Chenghao WU Sai QIAO Yinghua XU Xinyou XIE Haizhou LOU Xian WANG Jun ZHANG 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 2025年第4期371-392,共22页
Recent data suggest that vascular endothelial growth factor receptor inhibitor(VEGFRi)can enhance the anti-tumor activity of the anti-programmed cell death-1(anti-PD-1)antibody in colorectal cancer(CRC)with microsatel... Recent data suggest that vascular endothelial growth factor receptor inhibitor(VEGFRi)can enhance the anti-tumor activity of the anti-programmed cell death-1(anti-PD-1)antibody in colorectal cancer(CRC)with microsatellite stability(MSS).However,the comparison between this combination and standard third-line VEGFRi treatment is not performed,and reliable biomarkers are still lacking.We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi(combination group,n=54)or VEGFRi alone(VEGFRi group,n=32),and their efficacy and safety were evaluated.We additionally examined the immune characteristics of the MSS CRC tumor microenvironment(TME)through single-cell and spatial transcriptomic data,and an MSS CRC immune cell-related signature(MCICRS)that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort.Compared with VEGFRi alone,the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit(median progression-free survival:4.4 vs.2.0 months,P=0.0024;median overall survival:10.2 vs.5.2 months,P=0.0038)and a similar adverse event incidence.Through single-cell and spatial transcriptomic analysis,we determined ten MSS CRC-enriched immune cell types and their spatial distribution,including naive CD4+T,regulatory CD4+T,CD4+Th17,exhausted CD8+T,cytotoxic CD8+T,proliferated CD8+T,natural killer(NK)cells,plasma,and classical and intermediate monocytes.Based on a systemic meta-analysis and ten machine learning algorithms,we obtained MCICRS,an independent risk factor for the prognosis of MSS CRC patients.Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation,and hence a significant relation with the superior efficacy of pan-cancer immunotherapy.More importantly,the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort.Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity.MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy. 展开更多
关键词 Colorectal cancer(CRC) Microsatellite stability(MSS) IMMUNOTHERAPY Single-cell RNA sequencing(scrna-seq) Spatial transcriptomics
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