空间转录组成像的一个完整的有机体使用体积DNA显微镜

IF 33.1 1区 生物学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Nianchao Qian, Joshua A. Weinstein
{"title":"空间转录组成像的一个完整的有机体使用体积DNA显微镜","authors":"Nianchao Qian, Joshua A. Weinstein","doi":"10.1038/s41587-025-02613-z","DOIUrl":null,"url":null,"abstract":"<p>Lymphatic, nervous and tumor tissues exhibit complex physiology arising from three-dimensional interactions within genetically unique microenvironments. Here we develop a technology capable of volumetrically imaging transcriptomes, genotypes and morphologies in a single measurement, without relying on prior knowledge of spatial organization or genetic sequences. Our method extends DNA microscopy into three dimensions at scales involving 10<sup>7</sup> molecules by forming a distributed intermolecular network of proximal unique DNA barcodes tagging complementary DNA molecules inside the specimen. After sequencing the DNA-encoded network, an image of molecular positions is inferred using geodesic spectral embeddings, a dimensionality reduction approach that we show to be especially suitable for this data-inverse problem. Applying whole-transcriptome volumetric DNA microscopy to intact zebrafish embryos, we demonstrate that three-dimensional image inference recapitulates zebrafish morphology and known gene expression patterns, capturing the spatial organization of gene sequences. Our extension of spatial genetic measurements to three dimensions, independent of prior templates, opens the door to detailed joint resolution of genomics and morphology in biological tissues.</p>","PeriodicalId":19084,"journal":{"name":"Nature biotechnology","volume":"34 1","pages":""},"PeriodicalIF":33.1000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial transcriptomic imaging of an intact organism using volumetric DNA microscopy\",\"authors\":\"Nianchao Qian, Joshua A. Weinstein\",\"doi\":\"10.1038/s41587-025-02613-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Lymphatic, nervous and tumor tissues exhibit complex physiology arising from three-dimensional interactions within genetically unique microenvironments. Here we develop a technology capable of volumetrically imaging transcriptomes, genotypes and morphologies in a single measurement, without relying on prior knowledge of spatial organization or genetic sequences. Our method extends DNA microscopy into three dimensions at scales involving 10<sup>7</sup> molecules by forming a distributed intermolecular network of proximal unique DNA barcodes tagging complementary DNA molecules inside the specimen. After sequencing the DNA-encoded network, an image of molecular positions is inferred using geodesic spectral embeddings, a dimensionality reduction approach that we show to be especially suitable for this data-inverse problem. Applying whole-transcriptome volumetric DNA microscopy to intact zebrafish embryos, we demonstrate that three-dimensional image inference recapitulates zebrafish morphology and known gene expression patterns, capturing the spatial organization of gene sequences. Our extension of spatial genetic measurements to three dimensions, independent of prior templates, opens the door to detailed joint resolution of genomics and morphology in biological tissues.</p>\",\"PeriodicalId\":19084,\"journal\":{\"name\":\"Nature biotechnology\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":33.1000,\"publicationDate\":\"2025-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature biotechnology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1038/s41587-025-02613-z\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature biotechnology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1038/s41587-025-02613-z","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

淋巴、神经和肿瘤组织在遗传上独特的微环境中表现出三维相互作用的复杂生理。在这里,我们开发了一种能够在一次测量中对转录组、基因型和形态进行体积成像的技术,而不依赖于空间组织或基因序列的先验知识。我们的方法将DNA显微镜扩展到三维尺度,涉及107个分子,通过形成一个分布式的分子间网络,近端独特的DNA条形码标记标本内的互补DNA分子。在对dna编码的网络进行测序后,使用测地线光谱嵌入来推断分子位置的图像,这是一种降维方法,我们认为特别适合于这种数据逆问题。应用全转录组体积DNA显微镜对完整的斑马鱼胚胎,我们证明了三维图像推断概括了斑马鱼的形态和已知的基因表达模式,捕获了基因序列的空间组织。我们将空间遗传测量扩展到三维,独立于先前的模板,为生物组织中基因组学和形态学的详细联合分辨率打开了大门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatial transcriptomic imaging of an intact organism using volumetric DNA microscopy

Spatial transcriptomic imaging of an intact organism using volumetric DNA microscopy

Lymphatic, nervous and tumor tissues exhibit complex physiology arising from three-dimensional interactions within genetically unique microenvironments. Here we develop a technology capable of volumetrically imaging transcriptomes, genotypes and morphologies in a single measurement, without relying on prior knowledge of spatial organization or genetic sequences. Our method extends DNA microscopy into three dimensions at scales involving 107 molecules by forming a distributed intermolecular network of proximal unique DNA barcodes tagging complementary DNA molecules inside the specimen. After sequencing the DNA-encoded network, an image of molecular positions is inferred using geodesic spectral embeddings, a dimensionality reduction approach that we show to be especially suitable for this data-inverse problem. Applying whole-transcriptome volumetric DNA microscopy to intact zebrafish embryos, we demonstrate that three-dimensional image inference recapitulates zebrafish morphology and known gene expression patterns, capturing the spatial organization of gene sequences. Our extension of spatial genetic measurements to three dimensions, independent of prior templates, opens the door to detailed joint resolution of genomics and morphology in biological tissues.

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 biotechnology
Nature biotechnology 工程技术-生物工程与应用微生物
CiteScore
63.00
自引率
1.70%
发文量
382
审稿时长
3 months
期刊介绍: Nature Biotechnology is a monthly journal that focuses on the science and business of biotechnology. It covers a wide range of topics including technology/methodology advancements in the biological, biomedical, agricultural, and environmental sciences. The journal also explores the commercial, political, ethical, legal, and societal aspects of this research. The journal serves researchers by providing peer-reviewed research papers in the field of biotechnology. It also serves the business community by delivering news about research developments. This approach ensures that both the scientific and business communities are well-informed and able to stay up-to-date on the latest advancements and opportunities in the field. Some key areas of interest in which the journal actively seeks research papers include molecular engineering of nucleic acids and proteins, molecular therapy, large-scale biology, computational biology, regenerative medicine, imaging technology, analytical biotechnology, applied immunology, food and agricultural biotechnology, and environmental biotechnology. In summary, Nature Biotechnology is a comprehensive journal that covers both the scientific and business aspects of biotechnology. It strives to provide researchers with valuable research papers and news while also delivering important scientific advancements to the business community.
×
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