Communications Biology <p><em>Communications Biology</em>&nbsp;is an open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of the biological sciences. Research papers published by the journal represent significant advances bringing new biological insight to a specialized area of research. We also aim to provide a community forum for issues of importance to all biologists, regardless of sub-discipline.</p> <p>The scope of the journal includes all of the basic biological and biomedical sciences. Primary research published in&nbsp;<em>Communications Biology</em>&nbsp;includes novel experimental results, secondary data analysis and innovative experimental and computational methods. We also consider submissions from adjacent research fields where the central advance of the study is of interest to biologists, for example, chemical biology, biophysics and biomedical engineering.</p> <p>The submission and review processes are managed by our in-house professional editors supported by our Editorial Board Members, who provide technical expertise across the breadth of the life sciences. We are committed to rapid dissemination of important research results. Articles are published on a continuous basis with minimal time from acceptance to publication.</p> http://feeds.nature.com/commsbio/rss/current Nature Publishing Group en © 2025 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. Communications Biology © 2025 Macmillan Publishers Limited, part of Springer Nature. All rights reserved. [email protected]
  • Communications Biology https://www.nature.com/uploads/product/commsbio/rss.png http://feeds.nature.com/commsbio/rss/current <![CDATA[Integrating allostasis and emerging technologies to study complex diseases]]> https://www.nature.com/articles/s42003-025-08939-3 <![CDATA[
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    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-08939-3

    This review applies the allostasis framework to complex diseases, linking chronic stress and allostatic load to drug addiction, immune diseases, and cancer, and highlights multi-omics, iPSC, and organoid technologies as emerging tools to study them.]]> <![CDATA[Integrating allostasis and emerging technologies to study complex diseases]]> InWha ParkHyokyeong GwonYeonjeong JungBoyoung KimGaeun JuEugene SinHye In AnHye Jung BangTaegwan YunSeung Hwan LeeWonsik LeeChoon-Gon JangHyo-Jong LeeChung Sub KimJeongmi LeeSoah Lee doi:10.1038/s42003-025-08939-3 Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-08939-3 2025-11-05 Communications Biology 10.1038/s42003-025-08939-3 https://www.nature.com/articles/s42003-025-08939-3 <![CDATA[Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues]]> https://www.nature.com/articles/s42003-025-08887-y <![CDATA[

    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-08887-y

    A deparaffinization, 3D imaging and quantitative cytoarchitectural phenotyping method for human brains reveals structural differences in patients with Malformation of Cortical Development, advancing analysis of brain pathology at cellular resolution.]]>     <![CDATA[Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues]]> Danila Di MeoMichele SorelliJosephine RamazzottiFranco CheliSamuel BradleyLaura PeregoBeatrice LorenzonGiacomo MazzamutoAron EmmiAndrea PorzionatoRaffaele De CaroRita GarbelliDalila BiancheriCristiana PelorossoValerio ContiRenzo GuerriniFrancesco S. PavoneIrene Costantini doi:10.1038/s42003-025-08887-y Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-08887-y 2025-11-05 Communications Biology 10.1038/s42003-025-08887-y https://www.nature.com/articles/s42003-025-08887-y     <![CDATA[Longitudinal development of sex differences in the limbic system is associated with age, puberty and mental health]]> https://www.nature.com/articles/s42003-025-08866-3 <![CDATA[

    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-08866-3

    Machine learning models for brain sex classification trained on limbic brain structures of adolescents capture developmental processes and the association with mood related mental health in a sex-specific manner.]]>     <![CDATA[Longitudinal development of sex differences in the limbic system is associated with age, puberty and mental health]]> Gloria Matte BonJonas WaltherErika ComascoBirgit DerntlTobias Kaufmann doi:10.1038/s42003-025-08866-3 Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-08866-3 2025-11-05 Communications Biology 10.1038/s42003-025-08866-3 https://www.nature.com/articles/s42003-025-08866-3     <![CDATA[Mutant p53 variants differentially impact replication initiation and activate cGAS-STING to affect immune checkpoint inhibition]]> https://www.nature.com/articles/s42003-025-09050-3 <![CDATA[

    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-09050-3

    This study uncovers how contact mutant p53 drives replication over-firing in late S/G2, activates cGAS-STING, and enhances immune checkpoint inhibitor response, offering new insights into therapeutic outcomes of different mutant p53 variants.]]>     <![CDATA[Mutant p53 variants differentially impact replication initiation and activate cGAS-STING to affect immune checkpoint inhibition]]> Kang LiuLidija A. Wilhelms GaranFang-Tsyr LinWeei-Chin Lin doi:10.1038/s42003-025-09050-3 Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-09050-3 2025-11-05 Communications Biology 10.1038/s42003-025-09050-3 https://www.nature.com/articles/s42003-025-09050-3     <![CDATA[nERdy: network analysis of endoplasmic reticulum dynamics]]> https://www.nature.com/articles/s42003-025-08892-1 <![CDATA[

    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-08892-1

    nERdy enables accurate ER network reconstruction, revealing the role of Atlastin and Reticulon 4 in promoting tubular matrix formation and junction dynamics, advancing understanding of ER structure regulation.]]>     <![CDATA[nERdy: network analysis of endoplasmic reticulum dynamics]]> Ashwin SamudreGuang GaoBen CardoenBharat JoshiIvan Robert NabiGhassan Hamarneh doi:10.1038/s42003-025-08892-1 Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-08892-1 2025-11-05 Communications Biology 10.1038/s42003-025-08892-1 https://www.nature.com/articles/s42003-025-08892-1     <![CDATA[Common DNA sequence variation influences epigenetic aging in African populations]]> https://www.nature.com/articles/s42003-025-08893-0 <![CDATA[

    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-08893-0

    Accounting for DNA sequence variation improves epigenetic age prediction accuracy in diverse African cohorts and transferability across diverse genetic ancestries.]]>     <![CDATA[Common DNA sequence variation influences epigenetic aging in African populations]]> Gillian L. MeeksBrooke ScelzaHana M. AsnakeSean PrallEtienne PatinAlain FromentMaud FagnyLluis Quintana-MurciBrenna M. HennShyamalika Gopalan doi:10.1038/s42003-025-08893-0 Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-08893-0 2025-11-05 Communications Biology 10.1038/s42003-025-08893-0 https://www.nature.com/articles/s42003-025-08893-0     <![CDATA[CellSP enables module discovery and visualization for subcellular spatial transcriptomics data]]> https://www.nature.com/articles/s42003-025-08891-2 <![CDATA[

    Communications Biology, Published online: 05 November 2025; doi:10.1038/s42003-025-08891-2

    CellSP is a computational framework for identifying and visualizing subcellular spatial patterns of mRNA. It uncovers gene-cell modules that capture consistent transcript distributions linked to key biological processes in various tissues.]]>     <![CDATA[CellSP enables module discovery and visualization for subcellular spatial transcriptomics data]]> Bhavay AggarwalSaurabh Sinha doi:10.1038/s42003-025-08891-2 Communications Biology, Published online: 2025-11-05; | doi:10.1038/s42003-025-08891-2 2025-11-05 Communications Biology 10.1038/s42003-025-08891-2 https://www.nature.com/articles/s42003-025-08891-2     <![CDATA[A zebrafish model of chronic heart failure caused by protein aggregation in heart valves]]> https://www.nature.com/articles/s42003-025-08882-3 <![CDATA[

    Communications Biology, Published online: 04 November 2025; doi:10.1038/s42003-025-08882-3

    A DsRed transgenic zebrafish develops atrial dilation and valve thickening due to protein aggregation, providing a new model to study valvular heart disease and chronic heart failure.]]>     <![CDATA[A zebrafish model of chronic heart failure caused by protein aggregation in heart valves]]> Yitong LiShingo MaegawaRyo KimuraShiho R. SuzukiTaiki NishimuraMasatoshi Hagiwara doi:10.1038/s42003-025-08882-3 Communications Biology, Published online: 2025-11-04; | doi:10.1038/s42003-025-08882-3 2025-11-04 Communications Biology 10.1038/s42003-025-08882-3 https://www.nature.com/articles/s42003-025-08882-3