Temporal recording of mammalian development and precancer [WES]
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE235118
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Insights into many biological phenomena requires knowing the temporal order of cellular events, which is traditionally achieved through continuous direct observations [1, 2]. An alternative solution leverages irreversible genetic changes, such as naturally occurring mutations, to create indelible markers that enables retrospective temporal ordering [3-8]. Using Native sgRNA Capture and sequencing (NSC-seq), a newly devised and validated multi-purpose single-cell CRISPR platform, we developed a molecular clock approach to record the timing of cellular events and clonality in vivo while incorporating cell state and lineage information. Using this approach, we uncovered precise timing of tissue-specific cell expansion during murine embryonic development, unconventional developmental relationships between cell types, and new epithelial progenitor states by their unique genetic histories. NSC-seq analysis of murine adenomas coupled to multi-omic and single-cell profiling of human precancers, with clonal analysis of 418 human polyps, demonstrated the occurrence of polyancestral initiation in 15-30% of colonic precancers, revealing their origins from multiple normal founders. Our study presents a multimodal framework that lays the foundation for in vivo recording, integrating synthetic or natural indelible genetic changes with single-cell analyses to explore the origins and timing of development and tumorigenesis in mammalian systems. DNA was extracted from resected tumors and normal epithelial tissues using DNA Extraction Kits (Qiagen). Standard whole exome sequencing (WES) library was prepared using mouse exome panel (Twist Bioscience) and sequenced on S4 flow cells on NovaSeq6000 (PE150) to the targeted coverage (50X). WES reads were aligned to the mouse reference genome (mm10) using BWA and indexed by Sambamba. Somatic variants were called using GATK Mutect2. Variants were annotated using ANNOVAR and germline variants were filtered using paired normal samples. Variants were further analyzed and visualized using Maftools.
解析诸多生物学现象的核心在于明确细胞事件的时序关系,传统研究手段依赖持续的直接观测[1, 2]。另一类解决方案则借助不可逆的遗传改变(如自然发生的突变)构建不可磨灭的标记,以此实现回溯性时序排序[3-8]。本研究依托新开发并验证的多功能单细胞CRISPR平台——原生sgRNA捕获测序(Native sgRNA Capture and sequencing, NSC-seq),构建了一种可在体内记录细胞事件时序与克隆性的分子钟方法,同时整合细胞状态与谱系信息。借助该方法,我们明确了小鼠胚胎发育过程中组织特异性细胞扩增的精确时序,解析了细胞类型间非典型的发育关联,并基于独特的遗传谱系特征鉴定出全新的上皮祖细胞状态。通过对小鼠腺瘤开展NSC-seq分析,结合人类癌前病变的多组学与单细胞测序分析,以及对418例人类息肉的克隆分析,我们证实15%~30%的结肠癌前病变存在多祖先起始现象,揭示其起源于多个正常细胞始祖。本研究提出了一套多模态研究框架,为体内遗传记录奠定了基础——该框架将人工或天然的不可磨灭遗传改变与单细胞分析相结合,用以探究哺乳动物系统中发育与肿瘤发生的起源及时序规律。本研究使用DNA提取试剂盒(Qiagen)从切除的肿瘤组织与正常上皮组织中提取基因组DNA。采用小鼠外显子组捕获面板(Twist Bioscience)构建标准全外显子测序(Whole Exome Sequencing, WES)文库,在NovaSeq6000测序平台的S4流动槽上以PE150模式进行测序,使其达到目标覆盖度(50×)。使用BWA将WES测序读段比对至小鼠参考基因组(mm10),并通过Sambamba构建索引。采用GATK Mutect2识别体细胞变异,通过ANNOVAR对变异进行注释,并利用配对正常样本过滤生殖系变异。最后借助Maftools对变异开展进一步分析与可视化。
创建时间:
2024-07-08



