{"title":"ImputeHiFI:利用单细胞 Hi-C 和 RNA FISH 数据的多重 DNA FISH 数据推算方法","authors":"Shichen Fan, Dachang Dang, Lin Gao, Shihua Zhang","doi":"10.1002/advs.202406364","DOIUrl":null,"url":null,"abstract":"Although multiplexed DNA fluorescence in situ hybridization (FISH) enables tracking the spatial localization of thousands of genomic loci using probes within individual cells, the high rates of undetected probes impede the depiction of 3D chromosome structures. Current data imputation methods neither utilize single‐cell Hi‐C data, which elucidate 3D genome architectures using sequencing nor leverage multimodal RNA FISH data that reflect cell‐type information, limiting the effectiveness of these methods in complex tissues such as the mouse brain. To this end, a novel multiplexed DNA FISH imputation method named ImputeHiFI is proposed, which fully utilizes the complementary structural information from single‐cell Hi‐C data and the cell type signature from RNA FISH data to obtain a high‐fidelity and complete spatial location of chromatin loci. ImputeHiFI enhances cell clustering, compartment identification, and cell subtype detection at the single‐cell level in the mouse brain. ImputeHiFI improves the recognition of cell‐type‐specific loops in three high‐resolution datasets. In short, ImputeHiFI is a powerful tool capable of imputing multiplexed DNA FISH data from various resolutions and imaging protocols, facilitating studies of 3D genome structures and functions.","PeriodicalId":117,"journal":{"name":"Advanced Science","volume":null,"pages":null},"PeriodicalIF":14.3000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ImputeHiFI: An Imputation Method for Multiplexed DNA FISH Data by Utilizing Single‐Cell Hi‐C and RNA FISH Data\",\"authors\":\"Shichen Fan, Dachang Dang, Lin Gao, Shihua Zhang\",\"doi\":\"10.1002/advs.202406364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although multiplexed DNA fluorescence in situ hybridization (FISH) enables tracking the spatial localization of thousands of genomic loci using probes within individual cells, the high rates of undetected probes impede the depiction of 3D chromosome structures. Current data imputation methods neither utilize single‐cell Hi‐C data, which elucidate 3D genome architectures using sequencing nor leverage multimodal RNA FISH data that reflect cell‐type information, limiting the effectiveness of these methods in complex tissues such as the mouse brain. To this end, a novel multiplexed DNA FISH imputation method named ImputeHiFI is proposed, which fully utilizes the complementary structural information from single‐cell Hi‐C data and the cell type signature from RNA FISH data to obtain a high‐fidelity and complete spatial location of chromatin loci. ImputeHiFI enhances cell clustering, compartment identification, and cell subtype detection at the single‐cell level in the mouse brain. ImputeHiFI improves the recognition of cell‐type‐specific loops in three high‐resolution datasets. In short, ImputeHiFI is a powerful tool capable of imputing multiplexed DNA FISH data from various resolutions and imaging protocols, facilitating studies of 3D genome structures and functions.\",\"PeriodicalId\":117,\"journal\":{\"name\":\"Advanced Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":14.3000,\"publicationDate\":\"2024-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Science\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1002/advs.202406364\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Science","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1002/advs.202406364","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
虽然多倍 DNA 荧光原位杂交(FISH)可以在单个细胞内使用探针跟踪数千个基因组位点的空间定位,但未检测到探针的高比率阻碍了三维染色体结构的描述。目前的数据估算方法既没有利用单细胞 Hi-C 数据(通过测序阐明三维基因组结构),也没有利用反映细胞类型信息的多模态 RNA FISH 数据,从而限制了这些方法在小鼠大脑等复杂组织中的有效性。为此,我们提出了一种名为 ImputeHiFI 的新型多重 DNA FISH 估算方法,它充分利用了单细胞 Hi-C 数据的互补结构信息和 RNA FISH 数据的细胞类型特征,从而获得高保真和完整的染色质位点空间定位。ImputeHiFI 增强了小鼠大脑单细胞水平的细胞聚类、区隔识别和细胞亚型检测能力。ImputeHiFI 提高了三个高分辨率数据集中细胞类型特异性环路的识别能力。简而言之,ImputeHiFI 是一种功能强大的工具,它能够对来自不同分辨率和成像协议的多重 DNA FISH 数据进行归因,从而促进三维基因组结构和功能的研究。
ImputeHiFI: An Imputation Method for Multiplexed DNA FISH Data by Utilizing Single‐Cell Hi‐C and RNA FISH Data
Although multiplexed DNA fluorescence in situ hybridization (FISH) enables tracking the spatial localization of thousands of genomic loci using probes within individual cells, the high rates of undetected probes impede the depiction of 3D chromosome structures. Current data imputation methods neither utilize single‐cell Hi‐C data, which elucidate 3D genome architectures using sequencing nor leverage multimodal RNA FISH data that reflect cell‐type information, limiting the effectiveness of these methods in complex tissues such as the mouse brain. To this end, a novel multiplexed DNA FISH imputation method named ImputeHiFI is proposed, which fully utilizes the complementary structural information from single‐cell Hi‐C data and the cell type signature from RNA FISH data to obtain a high‐fidelity and complete spatial location of chromatin loci. ImputeHiFI enhances cell clustering, compartment identification, and cell subtype detection at the single‐cell level in the mouse brain. ImputeHiFI improves the recognition of cell‐type‐specific loops in three high‐resolution datasets. In short, ImputeHiFI is a powerful tool capable of imputing multiplexed DNA FISH data from various resolutions and imaging protocols, facilitating studies of 3D genome structures and functions.
期刊介绍:
Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.