Nature Reviews Genetics最新文献_第9页

Author Correction: Forensic genetics in the omics era 作者更正：组学时代的法医遗传学。

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-03-20 DOI: 10.1038/s41576-026-00953-3

Manfred Kayser

引用次数: 0

Recoding genomes with programmed ribosomal frameshifting 用程序核糖体移框重新编码基因组。

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-03-13 DOI: 10.1038/s41576-026-00950-6

Yousuf A. Khan

引用次数: 0

Next-generation programmable cell therapies for precision medicine 用于精准医疗的下一代可编程细胞疗法。

IF 51.4 1区生物学

Nature Reviews Genetics Pub Date : 2026-03-11 DOI: 10.1038/s41576-026-00945-3

Ana Palma Teixeira, Dominique Aubel, Martin Fussenegger

{"title":"Next-generation programmable cell therapies for precision medicine","authors":"Ana Palma Teixeira, Dominique Aubel, Martin Fussenegger","doi":"10.1038/s41576-026-00945-3","DOIUrl":"10.1038/s41576-026-00945-3","url":null,"abstract":"Engineered cell therapies are transforming precision medicine by enabling real-time, context-responsive interventions that act upon disease-specific cues. Inspired by the success of CAR-T cells in oncology, next-generation platforms are being developed using diverse immune cells and stem cells to address a broader spectrum of diseases. These living therapeutics harness synthetic gene circuits to induce targeted cytotoxicity, to modulate the secretion of effector proteins or to coordinate both functions in response to endogenous signals or externally delivered molecular and physical triggers. Ex vivo engineering of autologous cells remains the norm, but challenges in scalability, cost and accessibility are fuelling efforts towards allogeneic products and in vivo reprogramming. Advances in targeted delivery — using viral vectors, mRNA-loaded nanoparticles and virus-like particles — are expanding the toolkit for direct programming of cells within the body. This Review discusses emerging strategies for engineering human cells with therapeutic functions, highlighting modular control systems, delivery innovations and the translational hurdles that lie ahead. In this Review, Teixeira et al. discuss emerging strategies for developing and improving engineered-cell therapies. They outline progress from ex vivo engineered autologous cells to in vivo reprogramming, advances in delivery systems and the remaining translational barriers.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"27 8","pages":"585-602"},"PeriodicalIF":51.4,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gene regulatory networks: from correlative models to causal explanations 基因调控网络：从相关模型到因果解释。

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-03-09 DOI: 10.1038/s41576-026-00939-1

Rory J. Maizels, James Briscoe

{"title":"Gene regulatory networks: from correlative models to causal explanations","authors":"Rory J. Maizels, James Briscoe","doi":"10.1038/s41576-026-00939-1","DOIUrl":"10.1038/s41576-026-00939-1","url":null,"abstract":"Gene regulatory networks (GRNs) explain how the genome controls cellular behaviour and tissue morphogenesis, serving to connect molecular mechanism to functional output. Single-cell technologies now provide descriptions of these networks with unprecedented detail, but this advance has also revealed gene regulatory systems that are too complex for our existing conceptual frameworks. GRNs, which should provide mechanistic explanations, are increasingly reduced to statistical correlations — ‘hairballs’ that fail to capture molecular causation. Here, we explore why this dilemma exists and propose a path forward. We argue that methods in ‘representation learning’ can be used to model GRNs, without needing to capture every molecular detail. For this framework, we advocate three linked principles: models must be inherently mechanistic, with structures grounded in cellular and evolutionary biology; molecular principles and constraints must be used to reduce the solution space for learning GRN models; and more sophisticated forms of experimental perturbation and synthetic biological engineering are needed to train models and test predictions. By reimagining GRNs through these principles, we can bridge the gap from data abundance to new conceptual understanding. In this Perspective, Maizels and Briscoe discuss the limitations of current models of gene regulatory networks and outline solutions to harness data abundance without compromising explanatory power.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"27 6","pages":"485-498"},"PeriodicalIF":52.0,"publicationDate":"2026-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147381202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Epistasis and co-adaptation in bacterial genome evolution 细菌基因组进化中的上位性和共适应。

IF 51.4 1区生物学

Nature Reviews Genetics Pub Date : 2026-03-02 DOI: 10.1038/s41576-026-00941-7

Elizabeth A. Cummins, Priyanshu Singh Raikwar, Eve Hallett, Samuel K. Sheppard

{"title":"Epistasis and co-adaptation in bacterial genome evolution","authors":"Elizabeth A. Cummins, Priyanshu Singh Raikwar, Eve Hallett, Samuel K. Sheppard","doi":"10.1038/s41576-026-00941-7","DOIUrl":"10.1038/s41576-026-00941-7","url":null,"abstract":"Precise genotype–phenotype mapping is essential in applied microbiology, from engineering genetically modified strains to developing tailored strategies for antimicrobial therapies. Comparative genomics often treats genes as independent contributors to phenotypes, and gene knockout and complementation remain the gold standard to validate genotype–phenotype associations in microorganisms. However, genes do not act in isolation, and complex gene–gene interactions, that is, epistatic interactions, are essential for the evolution and function of bacterial genomes. Recent advances in high-throughput genomics and experimental techniques have enabled systematic screens of epistasis in bacteria at scale, revealing mechanisms underlying epistasis and co-adaptation in laboratory and wild populations. Here we review how microbial genomics is moving beyond gene-centric models towards integrated analyses of potentiating, compensatory and context-dependent variation. The timely incorporation of interaction-based perspectives into population-scale analyses will improve genotype–phenotype mapping and the understanding of the complex traits that shape the microbial world. Bacterial genome evolution is shaped by epistasis, which can constrain or promote specific evolutionary paths. The authors review how integrating the effects of epistatic interactions into population-scale analyses can improve genotype–phenotype mapping and provide a deeper understanding of the complex traits that shape the microbial world.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"27 7","pages":"547-562"},"PeriodicalIF":51.4,"publicationDate":"2026-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147329198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Charting single-cell lineages with synthetic and natural barcodes 用合成和天然条形码绘制单细胞谱系图。

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-02-27 DOI: 10.1038/s41576-026-00943-5

Alejo E. Rodriguez-Fraticelli, Victoria Parreno

{"title":"Charting single-cell lineages with synthetic and natural barcodes","authors":"Alejo E. Rodriguez-Fraticelli, Victoria Parreno","doi":"10.1038/s41576-026-00943-5","DOIUrl":"10.1038/s41576-026-00943-5","url":null,"abstract":"Across our lifespan, cells divide and differentiate to create the functional units of all organs, yet with age and cancer a small number of cellular families (clones) will rule the fate of the organism. Advances in synthetic and natural barcoding methods now enable cellular ancestries to be reconstructed with unprecedented single-cell resolution. These single-cell lineage-tracing studies are leading to a re-evaluation of long-standing paradigms in development, ageing and cancer biology and are revealing the underpinnings of phenotypic heterogeneity for various cellular functions, including regeneration and stress responses. Despite remaining methodological challenges, progress continues towards multimodal tracing methods that combine spatial, genetic, epigenetic and transcriptomic information. The future transition of clonal analysis into the clinic may eventually help detect, predict and prevent disease progression. In this Review, Rodriguez-Fraticelli and Parreno discuss advances in single-cell lineage-tracing methods and how their application to diverse biological processes, such as development, ageing and cancer, is challenging prevailing views and providing new insights.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"27 6","pages":"442-461"},"PeriodicalIF":52.0,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147317810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From DNA microarrays to somatic mosaicism in population cohorts 从DNA微阵列到群体群体中的体细胞嵌合体

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-02-24 DOI: 10.1038/s41576-026-00948-0

Chikashi Terao (, )

引用次数: 0

A codon-resolved view of subcellular translation with LOCL-TL 用LOCL-TL分析亚细胞翻译的密码子解析观点

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-02-17 DOI: 10.1038/s41576-026-00946-2

Jingchuan Luo

引用次数: 0

Annotating genomes at increased scale and resolution 以更高的规模和分辨率注释基因组

IF 52 1区生物学

Nature Reviews Genetics Pub Date : 2026-02-17 DOI: 10.1038/s41576-026-00937-3

Hyun Joo Ji, Mihaela Pertea, Steven L. Salzberg

{"title":"Annotating genomes at increased scale and resolution","authors":"Hyun Joo Ji, Mihaela Pertea, Steven L. Salzberg","doi":"10.1038/s41576-026-00937-3","DOIUrl":"10.1038/s41576-026-00937-3","url":null,"abstract":"Genome annotation captures the essence of a genome by cataloguing its genes, transcripts, proteins and other functional elements of the DNA sequence. Accurate annotation serves as the foundation for a wide range of downstream analyses and discoveries, ranging from basic biology to an understanding of the linkage between genes and disease. Over the past two decades, advances in high-throughput sequencing techniques have enabled faster and more accurate capture of diverse genomic features, generating data at an unprecedented scale. Concurrently, computational methods for translating these data into evidence for genome annotation have steadily improved, leading to better automated genome annotation systems. As such, the growing number of sequenced genomes provides a positive feedback loop, in which database searches become more effective and shared sequence patterns emerge more clearly. These advances are promising steps towards annotating the functions of many poorly understood genes, particularly non-coding RNA genes, for which more research is needed. In this Review, Ji et al. overview how rapidly advancing experimental and computational methods are enabling improved and automated annotation of gene structure and function, providing researchers with genome annotation resources of unprecedented scale and resolution.","PeriodicalId":19067,"journal":{"name":"Nature Reviews Genetics","volume":"27 6","pages":"429-441"},"PeriodicalIF":52.0,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146204953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolutionary causes and consequences of gene duplication 基因复制的进化原因和后果

IF 51.4 1区生物学

Nature Reviews Genetics Pub Date : 2026-02-16 DOI: 10.1038/s41576-026-00935-5

Angel F. Cisneros, Soham Dibyachintan, Frédéric Bédard, Simon Aubé, Pascale Lemieux, Christian R. Landry

引用次数: 0