Nature Communications
<p><em>Nature Communications</em> is an open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field.</p>
<p>We are committed to providing an efficient service for both authors and readers. Our team of independent editors make rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a programme of continuous online publication. </p>
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Nature Communications
© 2024 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
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Nature Communications
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https://www.nature.com/articles/s41467-024-46771-1
Nature Communications, Published online: 19 March 2024; doi:10.1038/s41467-024-46771-1Deep learning has achieved a notable success in proteomics and is now emerging in glycoproteomics. Here, the authors develop a neural network-based method to predict mass spectra of intact glycopeptides and demonstrate its potential in data-dependent and data-independent acquisition glycoproteomics.]]>
Yi YangQun Fang
doi:10.1038/s41467-024-46771-1
Nature Communications, Published online: 2024-03-19; | doi:10.1038/s41467-024-46771-1
2024-03-19
Nature Communications
10.1038/s41467-024-46771-1
https://www.nature.com/articles/s41467-024-46771-1
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https://www.nature.com/articles/s41467-024-45835-6
Nature Communications, Published online: 19 March 2024; doi:10.1038/s41467-024-45835-6Intrinsic and acquired resistances to CDK4/6 inhibitors have been described in patients with breast cancer. Here the authors report the results from a phase I/II clinical trial of the aromatase inhibitor exemestane plus everolimus (mTOR inhibitor) and palbociclib (CDK4/6i) in patients with metastatic breast cancer, assessing safety, clinical efficacy, as well as genomic and transcriptomic determinants of resistance.]]>
Jorge Gómez Tejeda ZañudoRomualdo Barroso-SousaEsha JainQingchun JinTianyu LiJorge E. Buendia-BuendiaAlyssa PeresleteDaniel L. AbravanelArlindo R. FerreiraEileen WrabelKarla HelvieMelissa E. HughesAnn H. PartridgeBeth OvermoyerNancy U. LinNabihah TayobSara M. TolaneyNikhil Wagle
doi:10.1038/s41467-024-45835-6
Nature Communications, Published online: 2024-03-19; | doi:10.1038/s41467-024-45835-6
2024-03-19
Nature Communications
10.1038/s41467-024-45835-6
https://www.nature.com/articles/s41467-024-45835-6
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https://www.nature.com/articles/s41467-024-46670-5
Nature Communications, Published online: 19 March 2024; doi:10.1038/s41467-024-46670-5People infer emotions using faces and situations, yet little is known about how these are integrated. Here, the authors show that situations are often sufficient to infer emotions, with variability in integration across categories and individuals.]]>
Srishti GoelJulian Jara-EttingerDesmond C. OngMaria Gendron
doi:10.1038/s41467-024-46670-5
Nature Communications, Published online: 2024-03-19; | doi:10.1038/s41467-024-46670-5
2024-03-19
Nature Communications
10.1038/s41467-024-46670-5
https://www.nature.com/articles/s41467-024-46670-5
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https://www.nature.com/articles/s41467-024-46324-6
Nature Communications, Published online: 19 March 2024; doi:10.1038/s41467-024-46324-6Application of correlative light and electron microscopy (CLEM) in plants remains challenging. Here, the authors use Click-iT chemistry as a tool for CLEM, due to its unique properties in resin permeability and super-resolution microscopy. They use this approach to study cellular physiology in Arabidopsis.]]>
Michal FranekLenka KoptašíkováJíří MikšátkoDavid LieblEliška MacíčkováJakub PospíšilMilan EsnerMartina DvořáčkováJíří Fajkus
doi:10.1038/s41467-024-46324-6
Nature Communications, Published online: 2024-03-19; | doi:10.1038/s41467-024-46324-6
2024-03-19
Nature Communications
10.1038/s41467-024-46324-6
https://www.nature.com/articles/s41467-024-46324-6
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https://www.nature.com/articles/s41467-024-46614-z
Nature Communications, Published online: 19 March 2024; doi:10.1038/s41467-024-46614-zLong-read sequencing can greatly improve detection of genomic structural variants (SVs), and numerous methods have been developed to identify SVs using long-read data. Here the authors compare the performance of these methods and provide guidelines to aid users in selecting the most suitable tools for various scenarios.]]>
Yichen Henry LiuCan LuoStaunton G. GoldingJacob B. IoffeXin Maizie Zhou
doi:10.1038/s41467-024-46614-z
Nature Communications, Published online: 2024-03-19; | doi:10.1038/s41467-024-46614-z
2024-03-19
Nature Communications
10.1038/s41467-024-46614-z
https://www.nature.com/articles/s41467-024-46614-z
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https://www.nature.com/articles/s41467-024-46692-z
Nature Communications, Published online: 19 March 2024; doi:10.1038/s41467-024-46692-zHere the authors study recovery from mild to moderate Omicron breakthrough infection at six months post infection. Serum proteomics, PBMC single-cell transcriptomics and clinical parameters indicate slow recovery with coagulation abnormalities and an imbalance of the immune response and metabolism remaining.]]>
Yanhua LiShijie QinLei DongShitong QiaoXiao WangDongshan YuPengyue GaoYali HouShouzhen QuanYing LiFengyan FanXin ZhaoYueyun MaGeorge Fu Gao
doi:10.1038/s41467-024-46692-z
Nature Communications, Published online: 2024-03-19; | doi:10.1038/s41467-024-46692-z
2024-03-19
Nature Communications
10.1038/s41467-024-46692-z
https://www.nature.com/articles/s41467-024-46692-z
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https://www.nature.com/articles/s41467-024-46859-8
Nature Communications, Published online: 18 March 2024; doi:10.1038/s41467-024-46859-8Publisher Correction: A programmable hybrid digital chemical information processor based on the Belousov-Zhabotinsky reaction]]>
Abhishek SharmaMarcus Tze-Kiat NgJuan Manuel Parrilla GutierrezYibin JiangLeroy Cronin
doi:10.1038/s41467-024-46859-8
Nature Communications, Published online: 2024-03-18; | doi:10.1038/s41467-024-46859-8
2024-03-18
Nature Communications
10.1038/s41467-024-46859-8
https://www.nature.com/articles/s41467-024-46859-8
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https://www.nature.com/articles/s41467-024-46545-9
Nature Communications, Published online: 18 March 2024; doi:10.1038/s41467-024-46545-9Growth chart studies of the human cerebellum, which is increasingly recognized as pivotal for cognitive development, are rare. Gaiser and colleagues utilized population-level neuroimaging to unveil cerebellar growth charts from childhood to adolescence, offering insights into brain development.]]>
Zi-Xuan ZhouXi-Nian Zuo
doi:10.1038/s41467-024-46545-9
Nature Communications, Published online: 2024-03-18; | doi:10.1038/s41467-024-46545-9
2024-03-18
Nature Communications
10.1038/s41467-024-46545-9
https://www.nature.com/articles/s41467-024-46545-9