使用新开发的4DN FISH组学格式公平共享染色质追踪数据集。

ArXiv Pub Date : 2025-08-21
Rahi Navelkar, Andrea Cosolo, Bogdan Bintu, Yubao Cheng, Vincent Gardeux, Silvia Gutnik, Taihei Fujimori, Antonina Hafner, Atishay Jay, Bojing Blair Jia, Adam Paul Jussila, Gerard Llimos, Antonios Lioutas, Nuno M C Martins, William J Moore, Yodai Takei, Frances Wong, Kaifu Yang, Huaiying Zhang, Quan Zhu, Magda Bienko, Lacramioara Bintu, Long Cai, Bart Deplancke, Marcelo Nollmann, Susan E Mango, Bing Ren, Peter J Park, Ahilya N Sawh, Andrew Schroeder, Jason R Swedlow, Golnaz Vahedi, Chao-Ting Wu, Sarah Aufmkolk, Alistair N Boettiger, Irene Farabella, Caterina Strambio-De-Castillia, Siyuan Wang
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引用次数: 0

摘要

NIH-Common Fund 4D Nucleome (4DN)项目1,2的一个关键成果是公开发表与人类细胞核结构和基因组相关的数据集。近年来,多重荧光原位杂交(FISH)或FISH组学方法得到了迅速发展,这些方法量化了单细胞中染色质的空间组织,有时与RNA和蛋白质测量一起,并提供了对3D高阶染色体结构如何与转录活性和健康和疾病中的细胞发育相关的扩展理解。尽管取得了这一进展,但由于缺乏数据交换的标准规范,染色质追踪鱼组学实验的结果难以共享、重用,并且受制于第三方下游分析。继最近出版的显微镜元数据规范3,4之后,我们提出了4DN FISH组学格式-染色质追踪(FOF-CT),这是一种社区开发的数据标准,用于处理来自各种染色质追踪成像技术的处理结果,最近的研究大致分为两类:球棍和体积是基于它们是作为单个荧光点还是作为单分子定位云代表目标基因组片段。为了展示FOF-CT的价值和潜在用途,以促进染色质示踪技术获得的结果公平共享,本文将重点介绍球棒式染色质示踪技术,包括Wang等人开创性的染色质示踪研究5以及染色质结构的光学重建(ORCA) 6,基于显微镜的染色体构象捕获(Hi-M) 7,核小体结构的多路成像(MINA) 8,DNA序列荧光原位杂交(DNA seqFISH/seqFISH+) 9-11,寡聚颜料荧光原位测序(OligoFISSEQ) 12, DNA多路错误-鲁强荧光原位杂交(DNA- merfish) 13和原位基因组测序(IGS) 14。该手稿将描述格式的结构,并展示最近存入4DN数据门户15和开放显微镜环境(OME)图像数据资源(IDR)平台16的FOF-CT数据集的集合,这些数据集非常适合促进重用、交换、进一步处理和综合建模。此外,本文还将介绍由于FOF-CT交换数据格式的存在而可以更广泛应用的分析管道的例子,并提供由于这些数据集的可用性而可以得出的生物学结论的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format.

FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format.

FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format.

FAIR sharing of Chromatin Tracing datasets using the newly developed 4DN FISH Omics Format.

A key output of the NIH-Common Fund 4D Nucleome (4DN) project 1,2 is the open publication of datasets related to the structure of the human cell nucleus and the genome. Recent years have seen a rapid expansion of multiplexed Fluorescence In Situ Hybridization (FISH) or FISH-omics methods, which quantify the spatial organization of chromatin in single cells, sometimes together with RNA and protein measurements, and provide an expanded understanding of how 3D higher-order chromosome structure relates to transcriptional activity and cell development in both health and disease. Despite this progress, results from Chromatin Tracing FISH-omics experiments are difficult to share, reuse, and subject to third-party downstream analysis due to the lack of standard specifications for data exchange. Following up on the recent publication of Microscopy Metadata specifications 3,4, we present the 4DN FISH Omics Format - Chromatin Tracing (FOF-CT), a community-developed data standard for processed results derived from a wide variety of imaging techniques for Chromatin Tracing, with the most recent studies falling roughly into two categories: ball-and-stick and volumetric based on whether they represent the targeted genomic segment as individual fluorescence spots or as clouds of single-molecule localizations. To demonstrate the value and potential use of FOF-CT to promote the FAIR sharing of the results obtained from Chromatin Tracing techniques, this manuscript will focus on ball-and-stick Chromatin Tracing techniques, including those described by the pioneering Chromatin Tracing study of Wang et al. 5 as well as Optical Reconstruction of Chromatin Architecture (ORCA) 6, microscopy-based chromosome conformation capture (Hi-M) 7, Multiplexed Imaging of Nucleome Architectures (MINA) 8, DNA Sequential Fluorescence In Situ Hybridization (DNA seqFISH/seqFISH+) 9-11, Oligopaint Fluorescent In Situ Sequencing (OligoFISSEQ) 12, DNA Multiplexed error-robust fluorescence in situ hybridization (DNA-MERFISH) 13, and In-situ Genomic Sequencing (IGS) 14. The manuscript will describe the structure of the format and present a collection of FOF-CT datasets that were recently deposited to the 4DN Data Portal 15 and the Open Microscopy Environment (OME) Image Data Resource (IDR) platform 16 and are ideally suited for promoting reuse, exchange, further processing, and integrative modeling. Furthermore, the manuscript will present examples of analysis pipelines that could be applied more widely due to the existence of the FOF-CT exchange data format and provide examples of biological conclusions that could be drawn thanks to the availability of such datasets.

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