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Publisher Correction: Advancing single-cell omics and cell-based therapeutics with quantum computing. 出版商更正:推进单细胞组学和基于细胞的治疗与量子计算。
IF 90.2 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-02-03 DOI: 10.1038/s41580-026-00952-6
Aritra Bose, Kahn Rhrissorrakrai, Filippo Utro, Laxmi Parida
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引用次数: 0
Organelles stick together through PDZD8-mediated condensate formation. 细胞器通过pdzd8介导的凝析物形成粘在一起。
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-29 DOI: 10.1038/s41580-026-00950-8
Lisa Heinke
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引用次数: 0
PIONEARing how DNA sequence composition tunes TF-nucleosome interactions. 开创性的DNA序列组成如何调节tf -核小体相互作用。
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-16 DOI: 10.1038/s41580-026-00946-4
Luca Mariani
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引用次数: 0
Heterogeneity, dynamics and organelle interactions of lipid droplets. 脂滴的异质性、动力学和细胞器相互作用。
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-15 DOI: 10.1038/s41580-025-00945-x
W Mike Henne,Sarah Cohen
Lipid droplets (LDs) are emerging as key factors in cellular physiology, with roles beyond energy storage, including metabolic homeostasis, signalling and development. Together with a growing list of functions, diverse LD populations are being identified in different tissue types as well as within the context of single cells. Here we summarize recent work highlighting LD diversity from three perspectives: their lipid and protein compositional heterogeneity; differences in abundance, size and spatial organization within cells; and the diverse contacts they form with other organelles, all of which contribute to LD function. We also discuss tools and approaches used to visualize LD heterogeneity, the role of LDs in pathophysiology and disease, and open questions in the field.
脂滴(ld)作为细胞生理学的关键因素,在能量储存之外,还具有代谢稳态、信号传导和发育等作用。随着功能列表的不断增加,在不同的组织类型以及单细胞背景下,正在确定不同的LD群体。本文从三个方面总结了近年来研究LD多样性的工作:它们的脂质和蛋白质组成的异质性;细胞内丰度、大小和空间组织的差异;以及它们与其他细胞器形成的各种接触,所有这些都有助于LD功能。我们还讨论了用于可视化LD异质性的工具和方法,LD在病理生理学和疾病中的作用,以及该领域的开放性问题。
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引用次数: 0
The mechanistic basis and cellular functions of UFMylation. ufmyation的机制基础和细胞功能。
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-09 DOI: 10.1038/s41580-025-00944-y
Masaaki Komatsu,Nobuo N Noda,Toshifumi Inada
UFMylation is a ubiquitin-like post-translational modification that has a central role in ribosome-associated quality control at the endoplasmic reticulum (ER-RQC). Through a dedicated enzymatic cascade, UFM1 is conjugated to select substrates, notably the 60S ribosomal subunit protein RPL26, to maintain endoplasmic reticulum and ribosomal integrity under cellular stress. This Review focuses on the structural and mechanistic basis of UFMylation in ER-RQC and its contribution to proteostasis. Although recent studies have identified a growing number of putative UFM1-modified proteins across diverse cellular pathways, the physiological importance of many of these substrates remains unclear. We highlight both the emerging functional breadth of UFMylation and the need for caution in interpreting substrate relevance. UFMylation is increasingly linked to disease, including neurodevelopmental disorders and cancer, underscoring its biological importance. Together, these findings position UFMylation as a key regulatory system connecting endoplasmic reticulum function to broader stress responses.
UFMylation是一种泛素样翻译后修饰,在内质网(ER-RQC)核糖体相关质量控制中起核心作用。通过专门的酶级联,UFM1被偶联到选择底物,特别是60S核糖体亚基蛋白RPL26,以维持细胞应激下内质网和核糖体的完整性。本文就ER-RQC中UFMylation的结构和机制基础及其在蛋白酶抑制中的作用作一综述。尽管最近的研究已经发现越来越多的假定的ufm1修饰蛋白跨越不同的细胞途径,但许多这些底物的生理重要性仍不清楚。我们强调了ufmyation的新兴功能广度和在解释底物相关性时需要谨慎。ufmyation越来越多地与疾病联系在一起,包括神经发育障碍和癌症,强调了其生物学重要性。总之,这些发现表明ufmyation是连接内质网功能和更广泛的应激反应的关键调控系统。
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引用次数: 0
Engineered nanobodies facilitate cryo-EM studies of small proteins 工程纳米体促进了小蛋白质的低温电镜研究
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-07 DOI: 10.1038/s41580-025-00940-2
Gangshun Yi, Dimitrios Mamalis
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引用次数: 0
Inflammageing and clonal haematopoiesis interplay and their impact on human disease 炎症和克隆造血相互作用及其对人类疾病的影响
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-06 DOI: 10.1038/s41580-025-00936-y
George Hajishengallis, Triantafyllos Chavakis
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引用次数: 0
Progress in stem cell-based embryo models and their applications in developmental biology and biomedicine. 干细胞胚胎模型的研究进展及其在发育生物学和生物医学中的应用。
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-05 DOI: 10.1038/s41580-025-00942-0
Hao Wu,Hongmei Wang
Human stem cell-based embryo models (hSCBEMs) are emerging as powerful tools in biomedical research owing to their ability to recapitulate the cellular, molecular and structural features of human embryos. These models offer new opportunities to advance our understanding of embryogenesis and to find applications in assisted reproduction, regenerative medicine, precision medicine and drug development. Despite rapid progress, challenges remain in improving the structural, cellular and molecular fidelity, efficiency and standardization of hSCBEMs. This Review discusses recent advances in the development of hSCBEMs and key challenges in their construction and applications, and highlights their translational potential while emphasizing the importance of ethical frameworks and public engagement.
基于人类干细胞的胚胎模型(hSCBEMs)由于能够概括人类胚胎的细胞、分子和结构特征,正在成为生物医学研究的有力工具。这些模型提供了新的机会来推进我们对胚胎发生的理解,并在辅助生殖、再生医学、精准医学和药物开发中找到应用。尽管进展迅速,但在结构、细胞和分子保真度、效率和标准化方面仍存在挑战。本综述讨论了hSCBEMs发展的最新进展及其建设和应用中的主要挑战,并强调了其转化潜力,同时强调了伦理框架和公众参与的重要性。
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引用次数: 0
Programmed ‘DNA splicing’ removes transposons from genes 程序化的“DNA剪接”将转座子从基因中移除
IF 112.7 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-05 DOI: 10.1038/s41580-025-00943-z
Sandra Duharcourt
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引用次数: 0
Advancing single-cell omics and cell-based therapeutics with quantum computing. 利用量子计算推进单细胞组学和基于细胞的治疗。
IF 90.2 1区 生物学 Q1 CELL BIOLOGY Pub Date : 2026-01-02 DOI: 10.1038/s41580-025-00918-0
Aritra Bose, Kahn Rhrissorrakrai, Filippo Utro, Laxmi Parida

The generation of highly accurate models of behaviours of individual cells and cell populations through integration of high-resolution assays with advanced computational tools would transform precision medicine. Recent breakthroughs in single-cell and spatial transcriptomics and multi-omics technologies, coupled with artificial intelligence, are driving rapid progress in model development. Complementing the advances in artificial intelligence, quantum computing is maturing as a novel compute paradigm that may offer potential solutions to overcome the computational bottlenecks inherent to capturing cellular dynamics. In this Roadmap article, we discuss the advancements and challenges in spatiotemporal single-cell analysis, explore the possibility of quantum computing to address the challenges and present a case study on how quantum computing may be integrated into cell-based therapeutics. The specific confluence of quantum and classical computing with high-resolution assays may offer a crucial path towards the generation of transformative models of cellular behaviours and perturbation responses.

通过将高分辨率分析与先进的计算工具相结合,生成个体细胞和细胞群体的高度精确的行为模型,将改变精准医学。单细胞、空间转录组学和多组学技术的最新突破,加上人工智能,正在推动模型开发的快速进展。与人工智能的进步相辅相成,量子计算作为一种新的计算范式正在成熟,它可能为克服捕获细胞动力学固有的计算瓶颈提供潜在的解决方案。在这篇路线图文章中,我们讨论了时空单细胞分析的进展和挑战,探讨了量子计算解决这些挑战的可能性,并提出了一个关于量子计算如何整合到基于细胞的治疗方法中的案例研究。量子计算和经典计算与高分辨率分析的具体融合可能为生成细胞行为和扰动响应的转换模型提供重要途径。
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引用次数: 0
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