定义体细胞进化过程中细胞表型的遗传性、可塑性和过渡动力学

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Joshua S. Schiffman, Andrew R. D’Avino, Tamara Prieto, Yakun Pang, Yilin Fan, Srinivas Rajagopalan, Catherine Potenski, Toshiro Hara, Mario L. Suvà, Charles Gawad, Dan A. Landau
{"title":"定义体细胞进化过程中细胞表型的遗传性、可塑性和过渡动力学","authors":"Joshua S. Schiffman, Andrew R. D’Avino, Tamara Prieto, Yakun Pang, Yilin Fan, Srinivas Rajagopalan, Catherine Potenski, Toshiro Hara, Mario L. Suvà, Charles Gawad, Dan A. Landau","doi":"10.1038/s41588-024-01920-6","DOIUrl":null,"url":null,"abstract":"Single-cell sequencing has characterized cell state heterogeneity across diverse healthy and malignant tissues. However, the plasticity or heritability of these cell states remains largely unknown. To address this, we introduce PATH (phylogenetic analysis of trait heritability), a framework to quantify cell state heritability versus plasticity and infer cell state transition and proliferation dynamics from single-cell lineage tracing data. Applying PATH to a mouse model of pancreatic cancer, we observed heritability at the ends of the epithelial-to-mesenchymal transition spectrum, with higher plasticity at more intermediate states. In primary glioblastoma, we identified bidirectional transitions between stem- and mesenchymal-like cells, which use the astrocyte-like state as an intermediary. Finally, we reconstructed a phylogeny from single-cell whole-genome sequencing in B cell acute lymphoblastic leukemia and delineated the heritability of B cell differentiation states linked with genetic drivers. Altogether, PATH replaces qualitative conceptions of plasticity with quantitative measures, offering a framework to study somatic evolution. Phylogenetic analysis of trait heritability (PATH) applies phylogenetic correlations to single-cell lineage tracing data, quantifying cell state plasticity and transition probabilities. PATH offers insights into cell state heritability and transition dynamics in cancers.","PeriodicalId":18985,"journal":{"name":"Nature genetics","volume":"56 10","pages":"2174-2184"},"PeriodicalIF":31.7000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Defining heritability, plasticity, and transition dynamics of cellular phenotypes in somatic evolution\",\"authors\":\"Joshua S. Schiffman, Andrew R. D’Avino, Tamara Prieto, Yakun Pang, Yilin Fan, Srinivas Rajagopalan, Catherine Potenski, Toshiro Hara, Mario L. Suvà, Charles Gawad, Dan A. Landau\",\"doi\":\"10.1038/s41588-024-01920-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Single-cell sequencing has characterized cell state heterogeneity across diverse healthy and malignant tissues. However, the plasticity or heritability of these cell states remains largely unknown. To address this, we introduce PATH (phylogenetic analysis of trait heritability), a framework to quantify cell state heritability versus plasticity and infer cell state transition and proliferation dynamics from single-cell lineage tracing data. Applying PATH to a mouse model of pancreatic cancer, we observed heritability at the ends of the epithelial-to-mesenchymal transition spectrum, with higher plasticity at more intermediate states. In primary glioblastoma, we identified bidirectional transitions between stem- and mesenchymal-like cells, which use the astrocyte-like state as an intermediary. Finally, we reconstructed a phylogeny from single-cell whole-genome sequencing in B cell acute lymphoblastic leukemia and delineated the heritability of B cell differentiation states linked with genetic drivers. Altogether, PATH replaces qualitative conceptions of plasticity with quantitative measures, offering a framework to study somatic evolution. Phylogenetic analysis of trait heritability (PATH) applies phylogenetic correlations to single-cell lineage tracing data, quantifying cell state plasticity and transition probabilities. PATH offers insights into cell state heritability and transition dynamics in cancers.\",\"PeriodicalId\":18985,\"journal\":{\"name\":\"Nature genetics\",\"volume\":\"56 10\",\"pages\":\"2174-2184\"},\"PeriodicalIF\":31.7000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.nature.com/articles/s41588-024-01920-6\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature genetics","FirstCategoryId":"99","ListUrlMain":"https://www.nature.com/articles/s41588-024-01920-6","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

单细胞测序技术描述了各种健康和恶性组织的细胞状态异质性。然而,这些细胞状态的可塑性或遗传性在很大程度上仍然未知。为了解决这个问题,我们引入了 PATH(性状遗传性系统发育分析),这是一个量化细胞状态遗传性与可塑性的框架,可以从单细胞系追踪数据推断细胞状态的转变和增殖动态。我们将 PATH 应用于小鼠胰腺癌模型,观察到上皮细胞向间质细胞转变谱两端的遗传性,而中间状态的可塑性更高。在原发性胶质母细胞瘤中,我们发现了干细胞和间充质样细胞之间的双向转变,这种转变以星形胶质细胞样状态为中介。最后,我们从 B 细胞急性淋巴细胞白血病的单细胞全基因组测序中重建了系统发育,并描述了与遗传驱动因素相关的 B 细胞分化状态的遗传性。总之,PATH 以定量测量取代了可塑性的定性概念,为研究体细胞进化提供了一个框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Defining heritability, plasticity, and transition dynamics of cellular phenotypes in somatic evolution

Defining heritability, plasticity, and transition dynamics of cellular phenotypes in somatic evolution

Defining heritability, plasticity, and transition dynamics of cellular phenotypes in somatic evolution
Single-cell sequencing has characterized cell state heterogeneity across diverse healthy and malignant tissues. However, the plasticity or heritability of these cell states remains largely unknown. To address this, we introduce PATH (phylogenetic analysis of trait heritability), a framework to quantify cell state heritability versus plasticity and infer cell state transition and proliferation dynamics from single-cell lineage tracing data. Applying PATH to a mouse model of pancreatic cancer, we observed heritability at the ends of the epithelial-to-mesenchymal transition spectrum, with higher plasticity at more intermediate states. In primary glioblastoma, we identified bidirectional transitions between stem- and mesenchymal-like cells, which use the astrocyte-like state as an intermediary. Finally, we reconstructed a phylogeny from single-cell whole-genome sequencing in B cell acute lymphoblastic leukemia and delineated the heritability of B cell differentiation states linked with genetic drivers. Altogether, PATH replaces qualitative conceptions of plasticity with quantitative measures, offering a framework to study somatic evolution. Phylogenetic analysis of trait heritability (PATH) applies phylogenetic correlations to single-cell lineage tracing data, quantifying cell state plasticity and transition probabilities. PATH offers insights into cell state heritability and transition dynamics in cancers.
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
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
×
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:481959085
Book学术官方微信