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Regulatory genome annotation 调控基因组注释
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-16 DOI: 10.1038/s41576-025-00885-4
Sushant Kumar, Mark Gerstein
Large-scale annotation efforts over the past two decades have identified regulatory regions and networks through functional genomics and evolutionary analyses. The challenge now will be to incorporate the many ‘heterogeneities’ of gene regulation — across cell types, developmental stages and individuals — into regulatory annotation based on new experimental and computational approaches. After more than two decades of large-scale efforts to annotate the regulatory genome, Sushant Kumar and Mark Gerstein forecast how new technologies and experimental approaches will pave the way in mapping regulatory elements across cell types, developmental stages and genetically diverse individuals.
在过去的二十年里,通过功能基因组学和进化分析,大规模的注释工作已经确定了调控区域和网络。现在的挑战将是将基因调控的许多“异质性”——跨越细胞类型、发育阶段和个体——整合到基于新的实验和计算方法的调控注释中。经过20多年对调控基因组注释的大规模努力,Sushant Kumar和Mark Gerstein预测,新技术和实验方法将如何为绘制细胞类型、发育阶段和遗传多样性个体的调控元件铺平道路。
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引用次数: 0
Regulatory genomics at biobank scales 生物银行规模的调控基因组学
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-16 DOI: 10.1038/s41576-025-00879-2
Stephen B. Montgomery
Biobank-scale studies of gene expression and proteomics are providing new opportunities to study gene regulation and its effect on traits and diseases. Moving from small cohorts to studies of thousands of people with regulatory genomics data will accelerate the use of gene regulation and non-coding variation in precision health. Studies of human regulatory genomics are being performed at biobank scales, with data from tens of thousands of individuals. Stephen Montgomery describes how these datasets will advance our understanding of how variation in gene regulation shapes human traits and disease.
生物库规模的基因表达和蛋白质组学研究为研究基因调控及其对性状和疾病的影响提供了新的机会。从小型队列研究转向具有调控基因组学数据的数千人研究,将加速基因调控和非编码变异在精准健康领域的应用。人类调控基因组学的研究正在生物银行规模上进行,数据来自成千上万的个体。Stephen Montgomery描述了这些数据集将如何推进我们对基因调控变异如何塑造人类特征和疾病的理解。
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引用次数: 0
Is enhancer-driven gene regulation all wrapped up? 增强子驱动的基因调控已经结束了吗?
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-16 DOI: 10.1038/s41576-025-00880-9
Wendy A. Bickmore
The idea that the regulation of our genome is influenced by its three-dimensional (3D) organization dates to early cytological studies of heterochromatin and euchromatin within the nucleus. However, advances in the ability to analyse and perturb 3D genome organization now enable the functional relationship between gene regulation and 3D organization to be explored at unparalleled spatial and genomic resolution. In this Comment, Wendy Bickmore discusses mechanistic models of how 3D genome organization facilitates communication between distant enhancers and their target promoters to regulate gene expression.
基因组调控受其三维(3D)组织影响的观点可以追溯到细胞核内异染色质和常染色质的早期细胞学研究。然而,分析和干扰三维基因组组织能力的进步,现在使基因调控和三维组织之间的功能关系能够以无与伦比的空间和基因组分辨率进行探索。在这篇评论中,Wendy Bickmore讨论了三维基因组组织如何促进远端增强子与其靶启动子之间的通信以调节基因表达的机制模型。
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引用次数: 0
Making sense of the regulatory genome 理解调控基因组
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-16 DOI: 10.1038/s41576-025-00894-3
For the 25th anniversary of Nature Reviews Genetics, we reflect on exciting progress towards decoding the regulatory genome and its mechanisms, a central goal in genetics that must be solved with interdisciplinary research to yield widespread insights into evolution, development and disease.
在《自然遗传学评论》出版25周年之际,我们回顾了在解码调控基因组及其机制方面取得的令人兴奋的进展,这是遗传学的一个核心目标,必须通过跨学科研究来解决,从而对进化、发育和疾病产生广泛的见解。
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引用次数: 0
A genomic view of Earth’s biomes 地球生物群系的基因组观
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-15 DOI: 10.1038/s41576-025-00888-1
Gitta Szabó, Emiley A. Eloe-Fadrosh, Jennifer Pett-Ridge, Tanja Woyke
Microorganisms are essential to all life on Earth through critical roles in key biological processes and diverse interactions with other organisms that shape ecosystems, drive biogeochemical cycles and influence both human health and environmental health. High-throughput sequencing from environmental samples has revolutionized the understanding of microbial diversity and functions. With vast amounts of genomes now available across Earth’s biomes, these data provide a blueprint of microbial life that can be harnessed for a more holistic understanding of microbiome structure and function across the various ecosystems on Earth. Here we review the application of genome-centric approaches, including recent advances in single-cell sequencing and functional profiling, to survey microbial and viral diversity. We highlight some of the most impactful evolutionary and functional discoveries, explore the spatial diversity and temporal dynamics of microorganisms across diverse environments, and discuss genome-enabled insights into host-associated microorganisms. Genome-wide approaches have uncovered the vast microbial and viral diversity across ecosystems. This Review explores advances in metagenomics, single-cell sequencing and functional profiling to elucidate the evolution, biogeography and ecological dynamics of Earth’s microbiomes.
微生物对地球上所有生命都至关重要,它们在关键生物过程中发挥关键作用,并与其他生物相互作用,形成生态系统,推动生物地球化学循环,影响人类健康和环境健康。环境样品的高通量测序已经彻底改变了对微生物多样性和功能的理解。现在地球上的生物群系中有大量的基因组,这些数据提供了微生物生命的蓝图,可以用来更全面地了解地球上各种生态系统中的微生物群系结构和功能。在这里,我们回顾了基因组中心方法的应用,包括单细胞测序和功能分析的最新进展,以调查微生物和病毒多样性。我们重点介绍了一些最具影响力的进化和功能发现,探索了微生物在不同环境中的空间多样性和时间动态,并讨论了基因组对宿主相关微生物的见解。
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引用次数: 0
Collaborating at the nexus of genomics, humanities, social science and stakeholders 在基因组学、人文科学、社会科学和利益相关者之间进行合作
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-11 DOI: 10.1038/s41576-025-00897-0
Paul Meller, Peter Kilroy, Helen Sims, Helena R. R. Wells, Michael Dunn
The importance of ethics and inclusivity in genomics is widely recognized. Less explored is the huge potential for transdisciplinary collaboration at the intersection of genomics, the humanities and social sciences, and wider societal stakeholders to drive research innovation and discovery. Transdisciplinary collaboration fuels innovation and discovery. Meller et al. call for broader collaboration at the intersection of genomics, the humanities and social sciences, and wider societal stakeholders, to test new ways of working across disciplines and co-develop future research agendas.
伦理和包容性在基因组学中的重要性已得到广泛认可。在基因组学、人文和社会科学以及更广泛的社会利益相关者的交叉点上,跨学科合作的巨大潜力尚未被探索,以推动研究创新和发现。跨学科合作促进创新和发现。Meller等人呼吁在基因组学、人文和社会科学以及更广泛的社会利益相关者的交叉点进行更广泛的合作,以测试跨学科工作的新方法,并共同制定未来的研究议程。
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引用次数: 0
Harnessing functional annotation to improve the accuracy and transferability of polygenic scores 利用功能注释提高多基因分数的准确性和可转移性
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-09-05 DOI: 10.1038/s41576-025-00893-4
Jian Zeng, Peter M. Visscher
Polygenic scores (PGS) have shown promise in predicting complex traits and disease risk, but their accuracy remains limited and poorly transferable across ancestries. Integrating functional annotations with whole-genome sequencing data can improve prediction by prioritizing likely causal variants shared across populations and by assigning greater weight to variants in biologically relevant regions. The accuracy of polygenic scores (PGS) remains limited and poorly transferable across ancestries. In this Comment, Zeng and Visscher discuss how integrating functional annotations with whole-genome sequencing data can improve PGS by prioritizing likely causal variants shared across populations and by assigning greater weight to variants in biologically relevant regions.
多基因评分(PGS)在预测复杂性状和疾病风险方面显示出了希望,但其准确性仍然有限,而且在祖先之间的可转移性很差。将功能注释与全基因组测序数据相结合,可以优先考虑跨种群共享的可能的因果变异,并为生物学相关区域的变异分配更大的权重,从而改善预测。多基因评分(PGS)的准确性仍然有限,而且在祖先之间的可转移性很差。在这篇评论中,Zeng和Visscher讨论了如何将功能注释与全基因组测序数据结合起来,通过优先考虑跨种群共享的可能的因果变异,并通过赋予生物学相关区域的变异更大的权重,来改善PGS。
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引用次数: 0
Imaging-based multimodal profiling of single cells with STAMP 基于STAMP的单细胞多模态成像
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-08-21 DOI: 10.1038/s41576-025-00891-6
Kellie Wise, Anna Pascual-Reguant
In this Tools of the Trade article, Kellie Wise and Anna Pascual-Reguant introduce STAMP (single-cell transcriptomics analysis and multimodal profiling), which harnesses imaging to measure RNA and/or protein expression in fixed cells or nuclei.
在这篇贸易工具文章中,Kellie Wise和Anna pascual - reant介绍了STAMP(单细胞转录组学分析和多模态分析),它利用成像来测量固定细胞或细胞核中的RNA和/或蛋白质表达。
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引用次数: 0
Prospects for personalized cancer treatment in the era of single-cell sequencing 单细胞测序时代的个体化癌症治疗前景
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-08-20 DOI: 10.1038/s41576-025-00890-7
Daudi Jjingo
Daudi Jjingo highlights a recent publication by Chu et al., who performed an integrative single-cell analysis of human colorectal cancer to characterize the tumour microenvironment (TME) and stratify patients according to their heterogeneous TMEs, which exploit different immune evasion mechanisms.
Daudi Jjingo强调了Chu等人最近发表的一篇文章,他们对人类结直肠癌进行了综合单细胞分析,以表征肿瘤微环境(TME),并根据异质性TME对患者进行分层,这些TME利用了不同的免疫逃避机制。
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引用次数: 0
Tracing the evolution of sequencing into the era of genomic medicine 追溯测序的发展到基因组医学时代
IF 52 1区 生物学 Q1 GENETICS & HEREDITY Pub Date : 2025-08-15 DOI: 10.1038/s41576-025-00884-5
Elaine R. Mardis, Richard K. Wilson
Accelerated discovery in biomedical science is typically punctuated by technological advances, and the past decade has been exemplary regarding breakthroughs in our genomic understanding of human biology in health and disease. This phenomenon was facilitated by the availability of a human genome reference sequence and the development and continuous improvement of next-generation and single-molecule sequencing technologies, accompanied by advances in computational analytics. These fundamental tools have driven the emergence of innovative methods that capture different aspects of human cell biology, with exquisite detail genome wide, in a sequence-based readout. The resulting expansion of knowledge has poised these approaches for clinical adoption, fulfilling the original intention of decoding the human genome and ushering in the era of genomic medicine. Extraordinary advances in genomic science have defined the twenty-first century, transforming our understanding of human biology in both health and disease. This timeline Perspective charts two decades of genomic innovation since the human genome reference sequence became available, highlighting the evolution of sequencing technologies and how they, combined with computational advances, paved the way for genomic medicine.
生物医学科学的加速发现通常被技术进步所打断,过去十年是我们对人类健康和疾病生物学的基因组学理解取得突破的典范。人类基因组参考序列的可用性、下一代和单分子测序技术的发展和不断改进以及计算分析的进步促进了这一现象。这些基本工具推动了创新方法的出现,这些方法可以捕获人类细胞生物学的不同方面,在基于序列的读出中具有精细的基因组细节。由此产生的知识扩展为这些方法的临床应用做好了准备,实现了解码人类基因组的初衷,开启了基因组医学的时代。
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引用次数: 0
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Nature Reviews Genetics
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