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From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology 从全切片图像到生物标记预测:计算病理学中的端到端弱监督深度学习
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-16 DOI: 10.1038/s41596-024-01047-2
Omar S. M. El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J. Wagner, Katherine J. Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
Hematoxylin- and eosin-stained whole-slide images (WSIs) are the foundation of diagnosis of cancer. In recent years, development of deep learning-based methods in computational pathology has enabled the prediction of biomarkers directly from WSIs. However, accurately linking tissue phenotype to biomarkers at scale remains a crucial challenge for democratizing complex biomarkers in precision oncology. This protocol describes a practical workflow for solid tumor associative modeling in pathology (STAMP), enabling prediction of biomarkers directly from WSIs by using deep learning. The STAMP workflow is biomarker agnostic and allows for genetic and clinicopathologic tabular data to be included as an additional input, together with histopathology images. The protocol consists of five main stages that have been successfully applied to various research problems: formal problem definition, data preprocessing, modeling, evaluation and clinical translation. The STAMP workflow differentiates itself through its focus on serving as a collaborative framework that can be used by clinicians and engineers alike for setting up research projects in the field of computational pathology. As an example task, we applied STAMP to the prediction of microsatellite instability (MSI) status in colorectal cancer, showing accurate performance for the identification of tumors high in MSI. Moreover, we provide an open-source code base, which has been deployed at several hospitals across the globe to set up computational pathology workflows. The STAMP workflow requires one workday of hands-on computational execution and basic command line knowledge. We present a practical workflow for end-to-end weakly supervised deep learning to predict biomarkers directly from whole-slide images, enabling clinical researchers to work with engineers to set up a complete computational pathology project.
血沉和伊红染色的全切片图像(WSI)是诊断癌症的基础。近年来,基于深度学习的计算病理学方法的发展使得直接从 WSIs 预测生物标记物成为可能。然而,如何准确地将组织表型与生物标记物大规模地联系起来,仍然是精准肿瘤学中复杂生物标记物民主化的关键挑战。本协议描述了病理学中实体瘤关联建模(STAMP)的实用工作流程,通过使用深度学习直接从 WSI 预测生物标记物。STAMP 工作流程与生物标记物无关,允许将遗传学和临床病理学表格数据与组织病理学图像一起作为额外输入。该协议包括五个主要阶段,已成功应用于各种研究问题:正式问题定义、数据预处理、建模、评估和临床转化。STAMP 工作流程的与众不同之处在于它是一个协作框架,临床医生和工程师都可以利用它来建立计算病理学领域的研究项目。作为一项示例任务,我们将 STAMP 应用于预测结直肠癌的微卫星不稳定性(MSI)状态,结果表明 STAMP 在识别 MSI 高的肿瘤方面表现准确。此外,我们还提供了一个开源代码库,该代码库已在全球多家医院部署,用于建立计算病理学工作流程。STAMP 工作流程需要一个工作日的计算实践和基本的命令行知识。
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引用次数: 0
CellChat for systematic analysis of cell–cell communication from single-cell transcriptomics 通过单细胞转录组学系统分析细胞间通讯的 CellChat
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-16 DOI: 10.1038/s41596-024-01045-4
Suoqin Jin, Maksim V. Plikus, Qing Nie
Recent advances in single-cell sequencing technologies offer an opportunity to explore cell–cell communication in tissues systematically and with reduced bias. A key challenge is integrating known molecular interactions and measurements into a framework to identify and analyze complex cell–cell communication networks. Previously, we developed a computational tool, named CellChat, that infers and analyzes cell–cell communication networks from single-cell transcriptomic data within an easily interpretable framework. CellChat quantifies the signaling communication probability between two cell groups using a simplified mass-action-based model, which incorporates the core interaction between ligands and receptors with multisubunit structure along with modulation by cofactors. Importantly, CellChat performs a systematic and comparative analysis of cell–cell communication using a variety of quantitative metrics and machine-learning approaches. CellChat v2 is an updated version that includes additional comparison functionalities, an expanded database of ligand–receptor pairs along with rich functional annotations, and an Interactive CellChat Explorer. Here we provide a step-by-step protocol for using CellChat v2 on single-cell transcriptomic data, including inference and analysis of cell–cell communication from one dataset and identification of altered intercellular communication, signals and cell populations from different datasets across biological conditions. The R implementation of CellChat v2 toolkit and its tutorials together with the graphic outputs are available at https://github.com/jinworks/CellChat . This protocol typically takes ~5 min depending on dataset size and requires a basic understanding of R and single-cell data analysis but no specialized bioinformatics training for its implementation. CellChat enables systematic inference, quantitative analysis and intuitive visualization of cell–cell communication from single-cell transcriptomic data, as well as comparative analysis of intercellular communication across biological conditions.
单细胞测序技术的最新进展提供了一个机会,可以在减少偏差的情况下系统地探索组织中的细胞-细胞通讯。一个关键的挑战是将已知的分子相互作用和测量结果整合到一个框架中,以识别和分析复杂的细胞-细胞通讯网络。此前,我们开发了一种名为 CellChat 的计算工具,它能在一个易于解释的框架内从单细胞转录组数据中推断和分析细胞通讯网络。CellChat 采用基于质量作用的简化模型,将配体与多亚基结构受体之间的核心相互作用以及辅助因子的调制结合在一起,量化了两个细胞群之间的信号交流概率。重要的是,CellChat 利用各种定量指标和机器学习方法对细胞间通信进行了系统的比较分析。CellChat v2 是一个更新版本,包括更多的比较功能、配体-受体配对的扩展数据库以及丰富的功能注释和交互式 CellChat 浏览器。在这里,我们提供了在单细胞转录组数据上使用 CellChat v2 的分步方案,包括推断和分析来自一个数据集的细胞-细胞通讯,以及识别来自不同数据集、不同生物条件下改变的细胞间通讯、信号和细胞群。CellChat v2 工具包的 R 实现及其教程和图形输出可在 https://github.com/jinworks/CellChat 上获取。根据数据集的大小,该程序通常需要约 5 分钟,需要对 R 和单细胞数据分析有基本的了解,但不需要专门的生物信息学培训即可实现。
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引用次数: 0
Facile photopatterning of perfusable microchannels in hydrogels for microphysiological systems 水凝胶中可灌注微通道的简易光图案化,用于微生理系统
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-12 DOI: 10.1038/s41596-024-01041-8
Ana Mora-Boza, Adriana Mulero-Russe, Nikolas Di Caprio, Jason A. Burdick, Eric O’Neill, Ankur Singh, Andrés J. García
Perfusable hydrogels have garnered substantial attention in recent years for the fabrication of microphysiological systems. However, current methodologies to fabricate microchannels in hydrogel platforms involve sophisticated equipment and techniques, which hinder progress of the field. In this protocol, we present a cost-effective, simple, versatile and ultrafast method to create perfusable microchannels of complex shapes in photopolymerizable hydrogels. Our method uses one-step UV photocross-linking and a photomask printed on inexpensive transparent films, to photopattern both synthetic (PEG-norbornene) and natural (hyaluronic acid-norbornene) hydrogels in just 0.8 s. Moreover, these perfusable hydrogels are fully integrated into a custom-made microfluidic device that allows continuous fluid perfusion when connected to an external pump system. This methodology can be easily reproduced by professionals with basic laboratory skills and a fundamental knowledge of polymers and materials science. In this protocol, we demonstrate the functionality of our photopatterned hydrogels by seeding human endothelial cells into the microchannels, culturing them under dynamic conditions for 7 d, and exposing them to inflammatory stimuli to elicit cellular responses. This highlights the versatility of our platform in fabricating microphysiological systems and different microenvironments. The fabrication of perfusable channels within the hydrogels, including the fabrication of the microfluidic devices, requires ~3 d. The development of the cell-seeded microphysiological system, including the stimulation of cells, takes ~7 d. In conclusion, our approach provides a straightforward and widely applicable solution to simplify and reduce the cost of biofabrication techniques for developing functional in vitro models using perfusable three-dimensional hydrogels. A cost-effective, facile, versatile and ultrafast methodology to fabricate perfusable microchannels of complex shapes in photopolymerizable hydrogels without the need for specialized equipment or sophisticated protocols.
近年来,可灌注水凝胶在微物理系统的制造方面引起了广泛关注。然而,目前在水凝胶平台中制造微通道的方法涉及复杂的设备和技术,阻碍了该领域的发展。在本方案中,我们提出了一种经济、简单、多功能和超快的方法,用于在可光聚合水凝胶中制造形状复杂的可灌注微通道。我们的方法使用一步紫外光交联技术和印在廉价透明薄膜上的光掩模,在短短 0.8 秒内对合成(PEG-降冰片烯)和天然(透明质酸-降冰片烯)水凝胶进行光图案化。只要具备基本的实验室技能以及聚合物和材料科学的基础知识,专业人员就能轻松复制这种方法。在本实验中,我们将人类内皮细胞播种到微通道中,在动态条件下培养 7 天,并将其暴露在炎症刺激下以激发细胞反应,从而展示了光图案水凝胶的功能。这凸显了我们的平台在制造微物理系统和不同微环境方面的多功能性。总之,我们的方法提供了一种直接而广泛适用的解决方案,可简化生物制造技术并降低其成本,从而利用可灌注三维水凝胶开发功能性体外模型。
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引用次数: 0
Assembly of a stem cell-derived human postimplantation embryo model 组装源自干细胞的人类着床后胚胎模型
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-11 DOI: 10.1038/s41596-024-01042-7
Carlos W. Gantner, Bailey A. T. Weatherbee, Yuntao Wang, Magdalena Zernicka-Goetz
The embryonic and extraembryonic tissue interactions underlying human embryogenesis at implantation stages are not currently understood. We have generated a pluripotent stem cell-derived model that mimics aspects of peri-implantation development, allowing tractable experimentation otherwise impossible in the human embryo. Activation of the extraembryonic lineage-specific transcription factors GATA6 and SOX17 (hypoblast factors) or GATA3 and TFAP2C (encoding AP2γ; trophoblast factors) in human embryonic stem (ES) cells drive conversion to extraembryonic-like cells. When combined with wild-type ES cells, self-organized embryo-like structures form in the absence of exogenous factors, termed human inducible embryoids (hiEmbryoids). The epiblast-like domain of hiEmbryoids polarizes and differentiates in response to extraembryonic-secreted extracellular matrix and morphogen cues. Extraembryonic mesenchyme, amnion and primordial germ cells are specified in hiEmbryoids in a stepwise fashion. After establishing stable inducible ES lines and converting ES cells to RSeT culture media, the protocol takes 7–10 d to generate hiEmbryoids. Generation of hiEmbryoids can be performed by researchers with basic expertise in stem cell culture. Protocol for the generation of a stem cell-derived human postimplantation embryo model by the combination of embryonic and transgene-induced extraembryonic-like cells.
人类胚胎发育在植入阶段所依赖的胚胎和胚外组织相互作用目前尚不清楚。我们已经生成了一个多能干细胞衍生模型,该模型可模仿着床前发育的各个方面,从而可进行人类胚胎不可能进行的实验。在人类胚胎干细胞(ES)中激活胚外系特异性转录因子GATA6和SOX17(胚下细胞因子)或GATA3和TFAP2C(编码AP2γ;滋养层细胞因子),可推动向胚外样细胞转化。当与野生型 ES 细胞结合时,在没有外源因子的情况下会形成自组织胚胎样结构,称为人类可诱导胚胎(hiEmbryoids)。hiEmbryoids的上胚层样域会根据胚外分泌的细胞外基质和形态发生因子进行极化和分化。胚外间充质、羊膜和原始生殖细胞在 hiEmbryoids 中逐步分化。在建立稳定的可诱导 ES 系并将 ES 细胞转化为 RSeT 培养基后,该方案需要 7-10 天才能生成高胚胎性细胞。具有干细胞培养基础知识的研究人员都可以进行干胚胎的生成。
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引用次数: 0
Precise tracking of nanoparticles in plant roots 精确跟踪植物根部的纳米粒子。
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-05 DOI: 10.1038/s41596-024-01044-5
Xiao-Dong Sun, Jing-Ya Ma, Li-Juan Feng, Jian-Lu Duan, Xian-Zheng Yuan
One of the foremost challenges in nanobiotechnology is obtaining direct evidence of nanoparticles’ absorption and internalization in plants. Although confocal laser scanning microscopy (CLSM) or transmission electron microscopy (TEM) are currently the most commonly used tools to characterize nanoparticles in plants, subjectivity of researchers, incorrect sample handling, inevitable fluorescence leakage and limitations of imaging instruments lead to false positives and non-reproducibility of experimental results. This protocol provides an easy-to-operate dual-step method, combining CLSM for macroscopic tissue examination and TEM for cellular-level analysis, to effectively trace single particles in plant roots with accuracy and precision. In addition, we also provide detailed methods for processing plant materials before imaging, including cleaning, and staining, to maximize the accuracy and reliability of imaging. This protocol involves currently commonly used nanomaterial types, such as metal-based and doped carbon-based materials, and enables accurate localization of nanoparticles with different sizes at the cell level in Arabidopsis thaliana root samples either through contrast or element mapping analysis. It serves as a valuable reference and benchmark for scholars in plant science, chemistry and environmental studies to understand the interaction between plant roots and nanomaterials and to detect the distribution of nanomaterials in plants. Excluding plant culture time, the protocol can be completed in 4–5 d. This protocol for the precise tracking of nanoparticles in plant roots uses CLSM for macroscopic tissue examination and TEM for cellular-level analysis and provides methodologies for preparing plant materials before imaging.
纳米生物技术的首要挑战之一是获得纳米粒子在植物体内吸收和内化的直接证据。尽管共焦激光扫描显微镜(CLSM)或透射电子显微镜(TEM)是目前表征植物中纳米粒子的最常用工具,但研究人员的主观性、不正确的样品处理、不可避免的荧光泄漏以及成像仪器的局限性导致了假阳性和实验结果的不可再现性。本方案提供了一种易于操作的双步骤方法,将用于宏观组织检查的 CLSM 与用于细胞级分析的 TEM 相结合,可有效、准确地追踪植物根中的单个颗粒。此外,我们还提供了成像前处理植物材料的详细方法,包括清洁和染色,以最大限度地提高成像的准确性和可靠性。该方案涉及目前常用的纳米材料类型,如金属基和掺杂碳基材料,通过对比或元素图谱分析,可在拟南芥根部样本的细胞水平准确定位不同大小的纳米颗粒。它为植物科学、化学和环境研究领域的学者了解植物根系与纳米材料之间的相互作用以及检测纳米材料在植物中的分布提供了宝贵的参考和基准。不包括植物培养时间,该方案可在 4-5 d 内完成。
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引用次数: 0
Mapping protein–DNA interactions with DiMeLo-seq 利用 DiMeLo-seq 测绘蛋白质与 DNA 的相互作用。
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-05 DOI: 10.1038/s41596-024-01032-9
Annie Maslan, Nicolas Altemose, Jeremy Marcus, Reet Mishra, Lucy D. Brennan, Kousik Sundararajan, Gary Karpen, Aaron F. Straight, Aaron Streets
We recently developed directed methylation with long-read sequencing (DiMeLo-seq) to map protein–DNA interactions genome wide. DiMeLo-seq is capable of mapping multiple interaction sites on single DNA molecules, profiling protein binding in the context of endogenous DNA methylation, identifying haplotype-specific protein–DNA interactions and mapping protein–DNA interactions in repetitive regions of the genome that are difficult to study with short-read methods. With DiMeLo-seq, adenines in the vicinity of a protein of interest are methylated in situ by tethering the Hia5 methyltransferase to an antibody using protein A. Protein–DNA interactions are then detected by direct readout of adenine methylation with long-read, single-molecule DNA sequencing platforms such as Nanopore sequencing. Here we present a detailed protocol and practical guidance for performing DiMeLo-seq. This protocol can be run on nuclei from fresh, lightly fixed or frozen cells. The protocol requires 1–2 d for performing in situ targeted methylation, 1–5 d for library preparation depending on desired fragment length and 1–3 d for Nanopore sequencing depending on desired sequencing depth. The protocol requires basic molecular biology skills and equipment, as well as access to a Nanopore sequencer. We also provide a Python package, dimelo, for analysis of DiMeLo-seq data. DiMeLo-seq uses long-read, single-molecule sequencing to map protein–DNA interactions genome wide. This allows mapping of multiple interaction sites on single DNA molecules and profiling protein binding in the context of endogenous DNA methylation.
我们最近开发了定向甲基化长读程测序(DiMeLo-seq)技术,用于绘制全基因组蛋白质-DNA相互作用图谱。DiMeLo-seq 能够绘制单个 DNA 分子上多个相互作用位点的图谱,分析内源性 DNA 甲基化背景下的蛋白质结合情况,确定单倍型特异性蛋白质-DNA 相互作用,并绘制基因组重复区域中的蛋白质-DNA 相互作用图谱,而这些区域是短线程方法难以研究的。通过 DiMeLo-seq 技术,利用蛋白 A 将 Hia5 甲基转移酶系在抗体上,使感兴趣的蛋白质附近的腺嘌呤发生原位甲基化,然后利用长读程单分子 DNA 测序平台(如 Nanopore 测序平台)直接读出腺嘌呤甲基化,检测蛋白质与 DNA 的相互作用。在此,我们介绍了执行 DiMeLo-seq 的详细方案和实用指南。该方案可在新鲜、轻度固定或冷冻的细胞核上运行。原位靶向甲基化需要 1-2 天,文库制备需要 1-5 天,具体取决于所需的片段长度,Nanopore 测序需要 1-3 天,具体取决于所需的测序深度。该方案需要基本的分子生物学技能和设备,以及一台 Nanopore 测序仪。我们还提供了一个 Python 软件包 dimelo,用于分析 DiMeLo-seq 数据。
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引用次数: 0
Construction and utilization of a new generation of bacteriophage-based particles, or TPA, for guided systemic delivery of nucleic acids to tumors. 构建和利用新一代基于噬菌体的颗粒或 TPA,在引导下将核酸系统性地输送到肿瘤。
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-05 DOI: 10.1038/s41596-024-01040-9
Lauren Gay, Keittisak Suwan, Amin Hajitou

Successful delivery of nucleic acid therapeutics to diseased sites would present a pivotal advancement in cancer treatment. However, progress has been hindered by the lack of efficient tumor-selective vectors via clinical systemic routes, the blood-brain barrier for brain tumors and problems with repeated administrations. We present a new generation of M13 phage-based vectors termed transmorphic phage/adeno-associated virus (AAV) (TPA), wherein the phage genome has been excised to facilitate exclusive packaging of human AAV DNA by phage coat proteins. Here we provide a detailed protocol for the molecular cloning of DNA into the TPA construct, display of disease-specific ligands on the helper phage capsid for cell targeting and entry, and packaging of TPA DNA by helper phage coat proteins in a bacterial host. Furthermore, we provide methods for mammalian cell transduction and assessment of transgene expression in vitro as well as in vivo application of TPA particles in tumor-bearing mice. Unlike other similar methods, our protocol enables high-yield production and control of helper phage quantity in TPA preparations. Moreover, compared with existing M13 phage vectors, TPA particles can accommodate large size transgene inserts, despite being considerably more compact, providing superior gene delivery through enhanced diffusion across the extracellular matrix, improved cellular binding and entry and increased vector DNA accumulation in the nucleus. The protocol encompasses a timeline of 4-5 months, including construction and production of TPA particles with transgene and targeted ligand and in vitro/in vivo testing. This protocol can be conducted by researchers trained in basic molecular biology/bacteriology research techniques.

成功地将核酸治疗药物输送到患病部位将是癌症治疗领域的一大进步。然而,临床系统途径缺乏高效的肿瘤选择性载体、脑肿瘤的血脑屏障以及重复给药等问题阻碍了这一研究的进展。我们提出了新一代基于 M13 噬菌体的载体,称为跨形态噬菌体/腺相关病毒(AAV)(TPA),其中的噬菌体基因组已被切除,以方便噬菌体衣壳蛋白对人类 AAV DNA 进行专属包装。在此,我们提供了一个详细的方案,用于将 DNA 分子克隆到 TPA 构建体中,在辅助噬菌体外壳上显示疾病特异性配体以实现细胞靶向和进入,以及在细菌宿主中通过辅助噬菌体衣壳蛋白包装 TPA DNA。此外,我们还提供了体外转导哺乳动物细胞和评估转基因表达的方法,以及在肿瘤小鼠体内应用 TPA 粒子的方法。与其他类似方法不同,我们的方案能够高产生产并控制 TPA 制剂中辅助噬菌体的数量。此外,与现有的 M13 噬菌体载体相比,尽管 TPA 颗粒的结构要紧凑得多,但仍能容纳大尺寸的转基因插入物,通过增强在细胞外基质中的扩散、改善细胞结合和进入以及增加载体 DNA 在细胞核中的积累,提供更优越的基因递送。该方案需要 4-5 个月的时间,包括构建和生产带有转基因和靶向配体的 TPA 颗粒以及体外/体内测试。受过基础分子生物学/细菌学研究技术培训的研究人员可以完成该方案。
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引用次数: 0
Visualizing epigenetic modifications and their spatial proximities in single cells using three DNA-encoded amplifying FISH imaging strategies: BEA-FISH, PPDA-FISH and Cell-TALKING 利用三种 DNA 编码放大 FISH 成像策略观察单细胞中的表观遗传修饰及其空间邻近性:BEA-FISH、PPDA-FISH 和 Cell-TALKING。
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-04 DOI: 10.1038/s41596-024-01036-5
Feng Chen, Xinyin Li, Min Bai, Yongxi Zhao
Epigenetic modifications and spatial proximities of nucleic acids and proteins play important roles in regulating physiological processes and disease progression. Currently available cell imaging methods, such as fluorescence in situ hybridization (FISH) and immunofluorescence, struggle to detect low-abundance modifications and their spatial proximities. Here we describe a step-by-step protocol for three DNA-encoded amplifying FISH-based imaging strategies to overcome these challenges for varying applications: base-encoded amplifying FISH (BEA-FISH), pairwise proximity-differentiated amplifying FISH (PPDA-FISH) and cellular macromolecules-tethered DNA walking indexing (Cell-TALKING). They all use the similar core principle of DNA-encoded amplification, which transforms different nonsequence molecular features into unique DNA barcodes for in situ rolling circle amplification and FISH analysis. This involves three key reactions in fixed cell samples: target labeling, DNA encoding and rolling circle amplification imaging. Using this protocol, these three imaging strategies achieve in situ counting of low-abundance modifications alone, the pairwise proximity-differentiated visualization of two modifications and the exploration of multiple modifications around one protein (one-to-many proximity), respectively. Low-abundance modifications, including 5-hydroxymethylcytosine, 5-formylcytosine, 5-hydroxymethyluracil and 5-formyluracil, are clearly visualized in single cells. Various combinatorial patterns of nucleic acid modifications and/or histone modifications are found. The whole protocol takes ~2–4 d to complete, depending on different imaging applications. The three methods present visualize epigenetic modifications and their spatial proximities in single cells; base-encoded amplifying FISH, pairwise proximity-differentiated amplifying FISH and cellular macromolecules-tethered DNA walking indexing.
核酸和蛋白质的表观遗传修饰及其空间邻近性在调节生理过程和疾病进展中发挥着重要作用。目前可用的细胞成像方法,如荧光原位杂交(FISH)和免疫荧光,很难检测到低丰度修饰及其空间邻近性。在此,我们将逐步介绍三种基于 DNA 编码放大 FISH 的成像策略,以克服这些挑战,满足不同的应用需求:碱基编码放大 FISH (BEA-FISH)、成对邻近分化放大 FISH (PPDA-FISH) 和细胞大分子系留 DNA 步行索引 (Cell-TALKING)。它们都使用类似的 DNA 编码扩增核心原理,将不同的非序列分子特征转化为独特的 DNA 条形码,用于原位滚圆扩增和 FISH 分析。这涉及固定细胞样本中的三个关键反应:靶标标记、DNA 编码和滚动圈扩增成像。利用该方案,这三种成像策略可分别实现低丰度修饰的原位计数、两种修饰的成对临近差异可视化以及一种蛋白质周围多种修饰的探索(一对多临近)。低丰度修饰,包括 5-羟甲基胞嘧啶、5-甲酰基胞嘧啶、5-羟甲基尿嘧啶和 5-甲酰基尿嘧啶,在单细胞中清晰可见。可发现核酸修饰和/或组蛋白修饰的各种组合模式。根据不同的成像应用,整个过程大约需要 2-4 天。
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引用次数: 0
Tutorial: a guide to diffusion MRI and structural connectomics. 教程:弥散核磁共振成像和结构连接组学指南。
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-09-04 DOI: 10.1038/s41596-024-01052-5
Ittai Shamir, Yaniv Assaf

Diffusion magnetic resonance imaging (dMRI) is a versatile imaging technique that has gained popularity thanks to its sensitive ability to measure displacement of water molecules within a living tissue on a micrometer scale. Although dMRI has been around since the early 1990s, its applications are constantly evolving, primarily regarding the inference of structural connectomics from nerve fiber trajectories. However, these applications require expertise in image processing and statistics, and it can be difficult for a newcomer to choose an appropriate pipeline to fit their research needs, not least because dMRI is such a flexible methodology that dozens of acquisition and analysis pipelines have been developed over the years. This introductory guide is designed for graduate students and researchers in the neuroscience community who are interested in integrating this new methodology regardless of their background in neuroimaging and computational tools. The guide provides a brief overview of the basic dMRI methodologies but focuses on its applications in neuroplasticity and connectomics. The guide starts with dMRI experimental designs and a complete step-by-step pipeline for structural connectomics. The following section covers the basics of dMRI, including parameters and clinical applications (apparent diffusion coefficient, mean diffusivity, fractional anisotropy and microscopic fractional anisotropy), as well as different approaches and models. The final section focuses on structural connectomics, covering subjects from fiber tracking (techniques, evaluation and limitations) to structural networks (constructing, analyzing and visualizing a network).

扩散磁共振成像(dMRI)是一种多功能成像技术,由于它能灵敏地测量活体组织内微米尺度的水分子位移,因此广受欢迎。尽管 dMRI 早在 20 世纪 90 年代初就已问世,但其应用仍在不断发展,主要涉及从神经纤维轨迹推断结构连接组学。然而,这些应用需要图像处理和统计方面的专业知识,新手很难选择合适的管道来满足自己的研究需要,尤其是因为 dMRI 是一种非常灵活的方法,多年来已开发出数十种采集和分析管道。本入门指南专为神经科学界对整合这一新方法感兴趣的研究生和研究人员设计,无论他们的神经成像和计算工具背景如何。指南简要概述了基本的 dMRI 方法,但重点介绍了其在神经可塑性和连接组学中的应用。指南首先介绍了 dMRI 实验设计和结构连接组学的完整步骤。接下来的章节介绍了 dMRI 的基础知识,包括参数和临床应用(表观扩散系数、平均扩散率、分数各向异性和微观分数各向异性),以及不同的方法和模型。最后一部分重点介绍结构连接组学,涵盖从纤维追踪(技术、评估和局限性)到结构网络(网络的构建、分析和可视化)等主题。
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引用次数: 0
A bioswitchable delivery system for microRNA therapeutics based on a tetrahedral DNA nanostructure. 基于四面体 DNA 纳米结构的微 RNA 治疗生物开关输送系统。
IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-08-30 DOI: 10.1038/s41596-024-01050-7
Songhang Li, Taoran Tian, Tao Zhang, Yunfeng Lin, Xiaoxiao Cai

As microRNAs (miRNA) regulate almost all physiopathological activities in the human body, miRNA therapeutics that deliver miRNA regulators have attracted considerable attention in the field of nucleic acid drug development. The use of tetrahedral DNA nanostructures to deliver miRNA regulators is promising because of their simple fabrication, enhanced cell entry, effective tissue penetration, biocompatibility and functional editability. This protocol extension builds on our previous protocol for the use of tetrahedral DNA nanostructures and was designed to establish an updated bioswitchable delivery system (BDS) for achieving controlled cargo loading and release. A ribonuclease H-sensitive sequence is designed as a bioswitchable apparatus for the targeted release of the miRNA regulator. The functional sequence of the miRNA regulator and minimal secondary structure formation tendency during annealing are two key points in cargo design. We provide two BDS design strategies; BDS-A comprises an intact DNA tetrahedron with the RNA cargo hanging outside, offering the merits of lower cost, simplicity, and more direct structural design. In the BDS-B design, the RNA regulators are embedded into the DNA tetrahedron, which is beneficial for dermal tissue permeation applications. Following sequence design in Oligo 7 and Tiamat, the BDS assembly is completed and then ribonuclease H achieves controlled release of the miRNA regulator by triggering the bioswitchable apparatus. This is verified via polyacrylamide and agarose gel electrophoresis or fluorophore modifications. Both BDSs show promising cellular membrane permeability, tissue permeability and target inhibition in vitro and in vivo. The assembly and characterization of the BDS can be completed in 4 d, and the validation time for biostability and biological applications will depend on the specific use.

由于微RNA(miRNA)几乎调控着人体内所有的生理病理活动,因此递送miRNA调节剂的miRNA疗法在核酸药物开发领域备受关注。使用四面体 DNA 纳米结构来递送 miRNA 调节剂很有前景,因为它们制作简单,能增强细胞进入能力,有效渗透组织,具有生物相容性和功能可编辑性。本方案是在我们之前使用四面体 DNA 纳米结构的方案基础上进行的扩展,旨在建立一种最新的生物开关递送系统(BDS),以实现可控的货物装载和释放。核糖核酸酶 H 敏感序列被设计成一种生物开关装置,用于定向释放 miRNA 调控因子。miRNA 调控因子的功能序列和退火过程中形成最小二级结构的趋势是货物设计的两个关键点。我们提供了两种 BDS 设计策略:BDS-A 包括一个完整的 DNA 四面体,RNA 货物悬挂在外面,具有成本低、简单、结构设计更直接等优点。在 BDS-B 设计中,RNA 调节器被嵌入 DNA 四面体,这有利于皮肤组织渗透应用。在 Oligo 7 和 Tiamat 中进行序列设计后,BDS 组装完成,然后核糖核酸酶 H 通过触发生物开关装置控制 miRNA 调节器的释放。这一点可通过聚丙烯酰胺和琼脂糖凝胶电泳或荧光团修饰进行验证。这两种 BDS 在体外和体内都显示出良好的细胞膜渗透性、组织渗透性和靶点抑制性。BDS 的组装和表征可在 4 d 内完成,生物稳定性和生物应用的验证时间将取决于具体用途。
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