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Adaptable CRISPR screening 适应性CRISPR筛选
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02544-8
Lei Tang
CRISPR screens are untangling molecular mechanisms that drive biological processes with greater precision and detail.
CRISPR屏幕正在以更高的精度和细节解开驱动生物过程的分子机制。
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引用次数: 0
Understanding protein interaction dynamics 了解蛋白质相互作用动力学
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02545-7
Arunima Singh
Experimental and computational studies are paving way for a deeper understanding of the dynamic nature of protein–protein interactions.
实验和计算研究为更深入地理解蛋白质-蛋白质相互作用的动态本质铺平了道路。
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引用次数: 0
Method of the Year 2024: spatial proteomics 2024年度最佳方法:空间蛋白质组学
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02565-3
Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.
分析组织中空间蛋白质组的方法是atlas规模项目的基础,这些项目正在兑现其理解健康和疾病中的生物复杂性的承诺。
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引用次数: 0
Atlases galore: where to next? 丰富的地图集:下一步该去哪里?
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02536-8
Vivien Marx
Hundreds of researchers collaborate on maps of the human body and the subcellular realm. As they scout out their next mapping expeditions, they take stock of atlas-making.
数百名研究人员合作绘制人体和亚细胞领域的图谱。当他们为下一次测绘探险做准备时,他们对地图集的制作进行了评估。
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引用次数: 0
Revolutionizing cancer research with spatial proteomics and visual intelligence 利用空间蛋白质组学和视觉智能革新癌症研究
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02542-w
Daniela F. Quail, Logan A. Walsh
Spatial proteomics has transformed cancer research by providing unparalleled insights into the microenvironmental landscape of tumors. Here we discuss how these technologies have significantly advanced our understanding of cell–cell interactions, tissue organization and spatially coordinated mechanisms underlying antitumor immune responses, and will pave the way for emerging breakthroughs in cancer research.
空间蛋白质组学通过提供对肿瘤微环境景观的无与伦比的见解,改变了癌症研究。在这里,我们讨论了这些技术如何显著提高我们对细胞-细胞相互作用、组织组织和抗肿瘤免疫反应的空间协调机制的理解,并将为癌症研究的新突破铺平道路。
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引用次数: 0
Mapping cell history and fates 绘制细胞历史和命运
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02547-5
Lin Tang
New experimental and computational methods illuminate the history of cell differentiation and its molecular underpinnings.
新的实验和计算方法阐明了细胞分化的历史及其分子基础。
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引用次数: 0
Integrative spatial protein profiling with multi-omics 多组学整合空间蛋白质分析
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02533-x
Rong Fan
Spatial proteomics holds the potential to transform the study of proteins in situ in complex tissues, but it needs to be integrated with other layers of omics data to gain a holistic view of cellular function, heterogeneity and interactions, and the underlying mechanisms of these processes. I highlight current challenges and emerging opportunities for multi-omic spatial protein profiling to advance basic research and translational applications.
空间蛋白质组学具有改变复杂组织中原位蛋白质研究的潜力,但它需要与其他层的组学数据相结合,以获得细胞功能、异质性和相互作用的整体视图,以及这些过程的潜在机制。我强调当前的挑战和新出现的机会,多组空间蛋白质分析,以推进基础研究和转化应用。
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引用次数: 0
Highly multiplexed imaging in the omics era: understanding tissue structures in health and disease 组学时代的高复用成像:理解健康和疾病中的组织结构
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02538-6
Bernd Bodenmiller
Spatial proteomics is advancing rapidly, transforming physiological and biomedical research by enabling the study of how multicellular structures and intercellular communication shape tissue function in health and disease. Through the analysis of large human tissue collections, spatial proteomics will reveal the complexities of human tissues and uncover multicellular modules that can serve as drug targets and diagnostics, paving the way for precision medicine and revolutionizing histopathology.
空间蛋白质组学正在迅速发展,通过研究多细胞结构和细胞间通讯如何影响健康和疾病中的组织功能,改变了生理和生物医学研究。通过对大量人体组织的分析,空间蛋白质组学将揭示人体组织的复杂性,揭示可作为药物靶点和诊断的多细胞模块,为精准医学和组织病理学的革命铺平道路。
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引用次数: 0
A new understanding of tissue biology from MS-based proteomics at single-cell resolution 单细胞分辨率下基于ms的蛋白质组学对组织生物学的新认识
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02541-x
Thierry M. Nordmann, Andreas Mund, Matthias Mann
Spatial mass spectrometry (MS)-proteomics is a rapidly evolving technology, particularly in the form of Deep Visual Proteomics (DVP), which allows the study of single cells directly in their native environment. We believe that this approach will reshape our understanding of tissue biology and redefine fundamental concepts in cell biology, tissue physiology and ultimately human health and disease.
空间质谱(MS)-蛋白质组学是一项快速发展的技术,特别是以深度视觉蛋白质组学(DVP)的形式,它允许直接在其天然环境中研究单细胞。我们相信这种方法将重塑我们对组织生物学的理解,并重新定义细胞生物学、组织生理学以及最终人类健康和疾病的基本概念。
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引用次数: 0
Organoids get an upgrade 类器官得到了升级
IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Pub Date : 2024-12-06 DOI: 10.1038/s41592-024-02549-3
Madhura Mukhopadhyay
Immune–organoid systems will be the next generation of in vitro models.
免疫类器官系统将是下一代体外模型。
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引用次数: 0
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