Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02545-7
Arunima Singh
Experimental and computational studies are paving way for a deeper understanding of the dynamic nature of protein–protein interactions.
实验和计算研究为更深入地理解蛋白质-蛋白质相互作用的动态本质铺平了道路。
{"title":"Understanding protein interaction dynamics","authors":"Arunima Singh","doi":"10.1038/s41592-024-02545-7","DOIUrl":"10.1038/s41592-024-02545-7","url":null,"abstract":"Experimental and computational studies are paving way for a deeper understanding of the dynamic nature of protein–protein interactions.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2226-2227"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789405","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02565-3
Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.
{"title":"Method of the Year 2024: spatial proteomics","authors":"","doi":"10.1038/s41592-024-02565-3","DOIUrl":"10.1038/s41592-024-02565-3","url":null,"abstract":"Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2195-2196"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41592-024-02565-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02536-8
Vivien Marx
Hundreds of researchers collaborate on maps of the human body and the subcellular realm. As they scout out their next mapping expeditions, they take stock of atlas-making.
{"title":"Atlases galore: where to next?","authors":"Vivien Marx","doi":"10.1038/s41592-024-02536-8","DOIUrl":"10.1038/s41592-024-02536-8","url":null,"abstract":"Hundreds of researchers collaborate on maps of the human body and the subcellular realm. As they scout out their next mapping expeditions, they take stock of atlas-making.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2203-2208"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789394","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02542-w
Daniela F. Quail, Logan A. Walsh
Spatial proteomics has transformed cancer research by providing unparalleled insights into the microenvironmental landscape of tumors. Here we discuss how these technologies have significantly advanced our understanding of cell–cell interactions, tissue organization and spatially coordinated mechanisms underlying antitumor immune responses, and will pave the way for emerging breakthroughs in cancer research.
{"title":"Revolutionizing cancer research with spatial proteomics and visual intelligence","authors":"Daniela F. Quail, Logan A. Walsh","doi":"10.1038/s41592-024-02542-w","DOIUrl":"10.1038/s41592-024-02542-w","url":null,"abstract":"Spatial proteomics has transformed cancer research by providing unparalleled insights into the microenvironmental landscape of tumors. Here we discuss how these technologies have significantly advanced our understanding of cell–cell interactions, tissue organization and spatially coordinated mechanisms underlying antitumor immune responses, and will pave the way for emerging breakthroughs in cancer research.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2216-2219"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789379","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02547-5
Lin Tang
New experimental and computational methods illuminate the history of cell differentiation and its molecular underpinnings.
新的实验和计算方法阐明了细胞分化的历史及其分子基础。
{"title":"Mapping cell history and fates","authors":"Lin Tang","doi":"10.1038/s41592-024-02547-5","DOIUrl":"10.1038/s41592-024-02547-5","url":null,"abstract":"New experimental and computational methods illuminate the history of cell differentiation and its molecular underpinnings.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2227-2228"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789381","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02533-x
Rong Fan
Spatial proteomics holds the potential to transform the study of proteins in situ in complex tissues, but it needs to be integrated with other layers of omics data to gain a holistic view of cellular function, heterogeneity and interactions, and the underlying mechanisms of these processes. I highlight current challenges and emerging opportunities for multi-omic spatial protein profiling to advance basic research and translational applications.
{"title":"Integrative spatial protein profiling with multi-omics","authors":"Rong Fan","doi":"10.1038/s41592-024-02533-x","DOIUrl":"10.1038/s41592-024-02533-x","url":null,"abstract":"Spatial proteomics holds the potential to transform the study of proteins in situ in complex tissues, but it needs to be integrated with other layers of omics data to gain a holistic view of cellular function, heterogeneity and interactions, and the underlying mechanisms of these processes. I highlight current challenges and emerging opportunities for multi-omic spatial protein profiling to advance basic research and translational applications.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2223-2225"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789378","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02538-6
Bernd Bodenmiller
Spatial proteomics is advancing rapidly, transforming physiological and biomedical research by enabling the study of how multicellular structures and intercellular communication shape tissue function in health and disease. Through the analysis of large human tissue collections, spatial proteomics will reveal the complexities of human tissues and uncover multicellular modules that can serve as drug targets and diagnostics, paving the way for precision medicine and revolutionizing histopathology.
{"title":"Highly multiplexed imaging in the omics era: understanding tissue structures in health and disease","authors":"Bernd Bodenmiller","doi":"10.1038/s41592-024-02538-6","DOIUrl":"10.1038/s41592-024-02538-6","url":null,"abstract":"Spatial proteomics is advancing rapidly, transforming physiological and biomedical research by enabling the study of how multicellular structures and intercellular communication shape tissue function in health and disease. Through the analysis of large human tissue collections, spatial proteomics will reveal the complexities of human tissues and uncover multicellular modules that can serve as drug targets and diagnostics, paving the way for precision medicine and revolutionizing histopathology.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2209-2211"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789401","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02541-x
Thierry M. Nordmann, Andreas Mund, Matthias Mann
Spatial mass spectrometry (MS)-proteomics is a rapidly evolving technology, particularly in the form of Deep Visual Proteomics (DVP), which allows the study of single cells directly in their native environment. We believe that this approach will reshape our understanding of tissue biology and redefine fundamental concepts in cell biology, tissue physiology and ultimately human health and disease.
{"title":"A new understanding of tissue biology from MS-based proteomics at single-cell resolution","authors":"Thierry M. Nordmann, Andreas Mund, Matthias Mann","doi":"10.1038/s41592-024-02541-x","DOIUrl":"10.1038/s41592-024-02541-x","url":null,"abstract":"Spatial mass spectrometry (MS)-proteomics is a rapidly evolving technology, particularly in the form of Deep Visual Proteomics (DVP), which allows the study of single cells directly in their native environment. We believe that this approach will reshape our understanding of tissue biology and redefine fundamental concepts in cell biology, tissue physiology and ultimately human health and disease.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2220-2222"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789382","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}
Pub Date : 2024-12-06DOI: 10.1038/s41592-024-02549-3
Madhura Mukhopadhyay
Immune–organoid systems will be the next generation of in vitro models.
免疫类器官系统将是下一代体外模型。
{"title":"Organoids get an upgrade","authors":"Madhura Mukhopadhyay","doi":"10.1038/s41592-024-02549-3","DOIUrl":"10.1038/s41592-024-02549-3","url":null,"abstract":"Immune–organoid systems will be the next generation of in vitro models.","PeriodicalId":18981,"journal":{"name":"Nature Methods","volume":"21 12","pages":"2228-2229"},"PeriodicalIF":36.1,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789390","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}