Nature Reviews Genetics is an invaluable source of information in genetics and genomics. The journal’s scope covers the whole breadth of these and related fields, bringing readers cutting-edge Reviews on topics that range from molecular genetics to evolution to systems biology. By publishing Reviews, Progress, Comment, Analysis and Perspective articles, among which are Viewpoints from opinion-leaders, Nature Reviews Genetics provides a balanced and unique perspective of this exciting field which goes well beyond the conventional review, and appeals to students and established scientists alike. All articles are written by carefully chosen leaders in their field and subject to rigorous peer-review, resulting in each issue providing balanced, high-quality and authoritative articles. While experts appreciate the insights and thought-provoking syntheses provided by the high-calibre authors, non-specialists are helped by the glossary definitions, additional background information in the boxes and highlighted references. http://feeds.nature.com/nrg/rss/current Nature Publishing Group en © 2025 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Reviews Genetics © 2025 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. [email protected]

https://www.nature.com/uploads/product/nrg/rss.gif http://feeds.nature.com/nrg/rss/current https://www.nature.com/articles/s41576-025-00855-w Nature Reviews Genetics, Published online: 22 May 2025; doi:10.1038/s41576-025-00855-wIn this Journal Club, Diyendo Massilani recalls two studies by Meyer et al. that reported a mitochondrial genome and nuclear DNA sequences from mid-Ice Age Sima de los Huesos hominins.]]> Diyendo Massilani doi:10.1038/s41576-025-00855-w Nature Reviews Genetics, Published online: 2025-05-22; | doi:10.1038/s41576-025-00855-w 2025-05-22 Nature Reviews Genetics 10.1038/s41576-025-00855-w https://www.nature.com/articles/s41576-025-00855-w https://www.nature.com/articles/s41576-025-00846-x Nature Reviews Genetics, Published online: 21 May 2025; doi:10.1038/s41576-025-00846-xTechnological and computational advances in recent years, from cryo-electron microscopy to sequencing technologies and machine learning, have substantially deepened our understanding of RNA splicing. Nature Reviews Genetics and Nature Reviews Molecular Cell Biology present an online collection that showcases the novel biological insights facilitated by these advances.]]> doi:10.1038/s41576-025-00846-x Nature Reviews Genetics, Published online: 2025-05-21; | doi:10.1038/s41576-025-00846-x 2025-05-21 Nature Reviews Genetics 10.1038/s41576-025-00846-x https://www.nature.com/articles/s41576-025-00846-x https://www.nature.com/articles/s41576-025-00857-8 Nature Reviews Genetics, Published online: 20 May 2025; doi:10.1038/s41576-025-00857-8In this Tools of the Trade article, Loic Binan explains Perturb-FISH, which measures genetic perturbations and gene expression in situ at high throughput to map gene regulatory networks at cellular and tissue scale.]]> Loïc Binan doi:10.1038/s41576-025-00857-8 Nature Reviews Genetics, Published online: 2025-05-20; | doi:10.1038/s41576-025-00857-8 2025-05-20 Nature Reviews Genetics 10.1038/s41576-025-00857-8 https://www.nature.com/articles/s41576-025-00857-8 https://www.nature.com/articles/s41576-025-00850-1 Nature Reviews Genetics, Published online: 20 May 2025; doi:10.1038/s41576-025-00850-1Synonymous mutations, once deemed neutral, have been shown to influence gene expression and organismal fitness by affecting transcription, mRNA processing, translation and protein folding. In this Perspective, the authors highlight evidence for fitness effects of synonymous mutations and discuss resulting implications for evolutionary and disease genetics.]]> Jianzhi ZhangWenfeng Qian doi:10.1038/s41576-025-00850-1 Nature Reviews Genetics, Published online: 2025-05-20; | doi:10.1038/s41576-025-00850-1 2025-05-20 Nature Reviews Genetics 10.1038/s41576-025-00850-1 https://www.nature.com/articles/s41576-025-00850-1 https://www.nature.com/articles/s41576-025-00856-9 Nature Reviews Genetics, Published online: 19 May 2025; doi:10.1038/s41576-025-00856-9In this Tools of the Trade article, Nadiya Khyzha describes SLAM-RT&Tag, a method for profiling RNA localization and dynamics within nuclear compartments, such as speckles.]]> Nadiya Khyzha doi:10.1038/s41576-025-00856-9 Nature Reviews Genetics, Published online: 2025-05-19; | doi:10.1038/s41576-025-00856-9 2025-05-19 Nature Reviews Genetics 10.1038/s41576-025-00856-9 https://www.nature.com/articles/s41576-025-00856-9 https://www.nature.com/articles/s41576-025-00839-w Nature Reviews Genetics, Published online: 15 May 2025; doi:10.1038/s41576-025-00839-wNew statistical and machine learning techniques to understand, quantify and correct for the impact of biases in genomic data are emerging. The authors review how the choice of analytical methods used to process, analyse and interpret genomic data can influence genomic research, as well as existing methodological approaches to promote equity and fairness in genomics.]]> Brieuc LehmannLeandra BräuningerYoonsu ChoFabian FalckSmera JayadevaMichael KatellThuy NguyenAntonella PeriniSam TallmanMaxine MackintoshMatt SilverKaroline KuchenbäckerDavid LeslieNilanjan ChatterjeeChris Holmes doi:10.1038/s41576-025-00839-w Nature Reviews Genetics, Published online: 2025-05-15; | doi:10.1038/s41576-025-00839-w 2025-05-15 Nature Reviews Genetics 10.1038/s41576-025-00839-w https://www.nature.com/articles/s41576-025-00839-w https://www.nature.com/articles/s41576-025-00845-y Nature Reviews Genetics, Published online: 14 May 2025; doi:10.1038/s41576-025-00845-yCell-type deconvolution methods are often needed to analyse spatial transcriptomic data to recover cell-type distributions. In this Review, the authors describe the process of cell-type deconvolution, contrast the tools available and highlight important considerations for which tool to use.]]> Lucie C. Gaspard-BoulincLuca GortanaThomas WalterEmmanuel BarillotFlorence M. G. Cavalli doi:10.1038/s41576-025-00845-y Nature Reviews Genetics, Published online: 2025-05-14; | doi:10.1038/s41576-025-00845-y 2025-05-14 Nature Reviews Genetics 10.1038/s41576-025-00845-y https://www.nature.com/articles/s41576-025-00845-y https://www.nature.com/articles/s41576-025-00841-2 Nature Reviews Genetics, Published online: 13 May 2025; doi:10.1038/s41576-025-00841-2Barbadilla-Martínez et al. review recent progress in deep-learning-based sequence-to-expression models, which predict gene expression levels solely from DNA sequence. These models are providing new insights into the complex combinatorial logic underlying cis-regulatory control of gene expression.]]> Lucía Barbadilla-MartínezNoud KlaassenBas van SteenselJeroen de Ridder doi:10.1038/s41576-025-00841-2 Nature Reviews Genetics, Published online: 2025-05-13; | doi:10.1038/s41576-025-00841-2 2025-05-13 Nature Reviews Genetics 10.1038/s41576-025-00841-2 https://www.nature.com/articles/s41576-025-00841-2