{"title":"Advancement of Peptide-PAINT: Applications and Current Challenges in Super-Resolution Imaging.","authors":"Devi Prasanna Behera, Ritesh Sonar, Ahenjeeta Ghosh, Barun Kumar Maity","doi":"10.1002/smsc.70381","DOIUrl":null,"url":null,"abstract":"<p><p>Super-resolution fluorescence microscopy has revolutionized the ability to probe biomolecular organization at the nanoscale in both fixed and living cells. Among various single-molecule localization microscopy approaches, Point Accumulation for Imaging in Nanoscale Topography (PAINT) offers a conceptually distinct framework by leveraging transient probe-target interactions rather than fluorophore photo-physics. Building on implementations such as DNA-PAINT, Peptide-PAINT has emerged as a versatile and accessible strategy for imaging protein organization with high specificity. This review provides a comprehensive overview of Peptide-PAINT, covering its fundamental principles and recent methodological advances, including exchangeable, fluorogenic, and endogenous labeling strategies. We highlight its capability for multiplexed imaging and discuss emerging applications in live-cell systems. Furthermore, we critically evaluate current limitations, including probe kinetics, orthogonality of peptide pairs, specificity, and intracellular delivery. Finally, we outline future directions for engineering robust, easy-to-implement Peptide-PAINT platforms for quantitative and high-throughput super-resolution imaging.</p>","PeriodicalId":29791,"journal":{"name":"Small Science","volume":"6 8","pages":"e70381"},"PeriodicalIF":7.0000,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13489223/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Small Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/smsc.70381","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/8/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Super-resolution fluorescence microscopy has revolutionized the ability to probe biomolecular organization at the nanoscale in both fixed and living cells. Among various single-molecule localization microscopy approaches, Point Accumulation for Imaging in Nanoscale Topography (PAINT) offers a conceptually distinct framework by leveraging transient probe-target interactions rather than fluorophore photo-physics. Building on implementations such as DNA-PAINT, Peptide-PAINT has emerged as a versatile and accessible strategy for imaging protein organization with high specificity. This review provides a comprehensive overview of Peptide-PAINT, covering its fundamental principles and recent methodological advances, including exchangeable, fluorogenic, and endogenous labeling strategies. We highlight its capability for multiplexed imaging and discuss emerging applications in live-cell systems. Furthermore, we critically evaluate current limitations, including probe kinetics, orthogonality of peptide pairs, specificity, and intracellular delivery. Finally, we outline future directions for engineering robust, easy-to-implement Peptide-PAINT platforms for quantitative and high-throughput super-resolution imaging.
期刊介绍:
Small Science is a premium multidisciplinary open access journal dedicated to publishing impactful research from all areas of nanoscience and nanotechnology. It features interdisciplinary original research and focused review articles on relevant topics. The journal covers design, characterization, mechanism, technology, and application of micro-/nanoscale structures and systems in various fields including physics, chemistry, materials science, engineering, environmental science, life science, biology, and medicine. It welcomes innovative interdisciplinary research and its readership includes professionals from academia and industry in fields such as chemistry, physics, materials science, biology, engineering, and environmental and analytical science. Small Science is indexed and abstracted in CAS, DOAJ, Clarivate Analytics, ProQuest Central, Publicly Available Content Database, Science Database, SCOPUS, and Web of Science.