Nature Methods offers a unique interdisciplinary forum for the publication of novel methods. Nature Methods focuses on the life sciences, combining practical, technique-driven subject matter with rigorous peer-review standards to ensure that readers are consistently presented with only the most valuable and highest quality methodological research. The journal offers its readers primary research papers as well as an array of opinions, reviews and short journalistic pieces to provide busy researchers with a broad, yet easily absorbed perspective of important methodological developments in the life sciences. http://feeds.nature.com/nmeth/rss/current Nature Publishing Group en © 2026 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Nature Methods © 2026 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. permissions@nature.com https://www.nature.com/uploads/product/nmeth/rss.gif http://feeds.nature.com/nmeth/rss/current https://www.nature.com/articles/s41592-026-03066-1 Nature Methods, Published online: 22 May 2026; doi:10.1038/s41592-026-03066-1

MOSAIC is a versatile multimodal microscope that allows seamless transition between various light-sheet, two-photon, label-free and super-resolution modalities. It is demonstrated in various systems ranging from cell culture to mice.]]> Tian-Ming FuGaoxiang LiuDaniel E. MilkieXiongtao RuanFrederik GörlitzYu ShiValentina FerroNikita S. DivekarWei WangHarrison M. YorkVelat KilicMatthew MuellerYajie LiangTimothy A. DaugirdMaria Jose Gacha-GarayKathryn A. LarkinRebecca C. AdikesNathanael HarrisonCyna ShirazinejadSamara WilliamsJamison L. NourseShu-Hsien SheuLiang GaoTongchao LiChandrani MondalKemal AchourWilmene HerculeDaniel R. StableyKevin EmmerichPeng DongDavid G. DrubinZhe J. LiuJeff S. MummMinoru KoyamaAlison N. KillileaJose Javier Bravo-CorderoC. Dirk KeeneLiqun LuoTomas KirchhausenMedha M. PathakSenthil ArumugamJames K. NuñezRuixuan GaoDavid Q. MatusBenjamin L. MartinIan A. SwinburneEric BetzigWesley R. LegantSrigokul Upadhyayula doi:10.1038/s41592-026-03066-1 Nature Methods, Published online: 2026-05-22; | doi:10.1038/s41592-026-03066-1 2026-05-22 Nature Methods 10.1038/s41592-026-03066-1 https://www.nature.com/articles/s41592-026-03066-1 https://www.nature.com/articles/s41592-026-03117-7 Nature Methods, Published online: 21 May 2026; doi:10.1038/s41592-026-03117-7

Author Correction: Biophysical prediction of protein–peptide interactions and signaling networks using machine learning]]> Joseph M. CunninghamGrigoriy KoytigerPeter K. SorgerMohammed AlQuraishi doi:10.1038/s41592-026-03117-7 Nature Methods, Published online: 2026-05-21; | doi:10.1038/s41592-026-03117-7 2026-05-21 Nature Methods 10.1038/s41592-026-03117-7 https://www.nature.com/articles/s41592-026-03117-7 https://www.nature.com/articles/s41592-026-03080-3 Nature Methods, Published online: 19 May 2026; doi:10.1038/s41592-026-03080-3

StringTie3 shows enhanced performance in total RNA-seq assembly and quantification by modeling both nascent and mature transcripts, across short-, long- and hybrid-read sequencing data.]]> Ida ShinderGeo PerteaRichard HuZoe RudnickMihaela Pertea doi:10.1038/s41592-026-03080-3 Nature Methods, Published online: 2026-05-19; | doi:10.1038/s41592-026-03080-3 2026-05-19 Nature Methods 10.1038/s41592-026-03080-3 https://www.nature.com/articles/s41592-026-03080-3 https://www.nature.com/articles/s41592-026-03084-z Nature Methods, Published online: 18 May 2026; doi:10.1038/s41592-026-03084-z

This Perspective discusses current challenges in macromolecular ensemble prediction and the infrastructure and methodological advances needed to overcome these barriers.]]> Stephanie A. WankowiczMassimiliano Bonomi doi:10.1038/s41592-026-03084-z Nature Methods, Published online: 2026-05-18; | doi:10.1038/s41592-026-03084-z 2026-05-18 Nature Methods 10.1038/s41592-026-03084-z https://www.nature.com/articles/s41592-026-03084-z https://www.nature.com/articles/s41592-026-03083-0 Nature Methods, Published online: 14 May 2026; doi:10.1038/s41592-026-03083-0

This Perspective provides minimum community standards and best-practice guidelines for hydroxyl radical protein footprinting–mass spectrometry, including experimental design, sample preparation and oxidation, processing of oxidized samples, and analysis and interpretation of the resulting data.]]> Aaron T. WeckslerLingfei WangLisa J. BernsteinRichard Y. -C. HuangSayan GuptaLine G. KristensenCorie Y. RalstonFrank SobottYan SunMichael BrenowitzErik R. FarquharMark R. ChanceXinyi Cynthia KuangMichael L. GrossLisa M. JonesPetr NovakSandeep K. MisraJoshua S. Sharp doi:10.1038/s41592-026-03083-0 Nature Methods, Published online: 2026-05-14; | doi:10.1038/s41592-026-03083-0 2026-05-14 Nature Methods 10.1038/s41592-026-03083-0 https://www.nature.com/articles/s41592-026-03083-0 https://www.nature.com/articles/s41592-026-03071-4 Nature Methods, Published online: 14 May 2026; doi:10.1038/s41592-026-03071-4

This resource leverages spatial and single-cell transcriptomics to investigate lncRNAs in cancer and reports 94,795 previously unannotated lncRNAs and new approaches to infer their functions.]]> P. PrakrithiTuan VoZherui XiongHani VuLoan T. NguyenAndrew NewmanJulie WilhelmeyVicki WhitehallJazmina L. Gonzalez CruzSimon WoodAndrew J. MallettIshaan GuptaQuan Nguyen doi:10.1038/s41592-026-03071-4 Nature Methods, Published online: 2026-05-14; | doi:10.1038/s41592-026-03071-4 2026-05-14 Nature Methods 10.1038/s41592-026-03071-4 https://www.nature.com/articles/s41592-026-03071-4 https://www.nature.com/articles/s41592-026-03107-9 Nature Methods, Published online: 13 May 2026; doi:10.1038/s41592-026-03107-9

Whole mouse mapping]]> Madhura Mukhopadhyay doi:10.1038/s41592-026-03107-9 Nature Methods, Published online: 2026-05-13; | doi:10.1038/s41592-026-03107-9 2026-05-13 Nature Methods 10.1038/s41592-026-03107-9 https://www.nature.com/articles/s41592-026-03107-9 https://www.nature.com/articles/s41592-026-03108-8 Nature Methods, Published online: 13 May 2026; doi:10.1038/s41592-026-03108-8

Package selection and versioning matter]]> Lin Tang doi:10.1038/s41592-026-03108-8 Nature Methods, Published online: 2026-05-13; | doi:10.1038/s41592-026-03108-8 2026-05-13 Nature Methods 10.1038/s41592-026-03108-8 https://www.nature.com/articles/s41592-026-03108-8