Labeling of virus components for advanced, quantitative imaging analyses. Issue 13 (24th May 2016)

• Record Type: Journal Article
• Authors: Sakin, Volkan; Paci, Giulia; Lemke, Edward A.; Müller, Barbara
• Other Names: Fackler Oliver guestEditor.; Kräusslich Hans‐Georg guestEditor.; Just Wilhelm guestEditor.
• Is Part Of: FEBS letters. Volume 590:Issue 13(2016)
• Page Start: 1896
• Page End: 1914
• Publication Date: 2016-05-24
• Subjects: amber suppression -- click labeling -- fluorescence -- human immunodeficiency virus -- imaging -- nanoscopy -- single‐molecule techniques -- virus; Biochemistry -- Periodicals; Biophysics -- Periodicals; Molecular biology -- Periodicals; Biochimie -- Périodiques; Biochemistry; Biophysics; Molecular biology; Periodicals; 572.05
• DOI: 10.1002/1873-3468.12131
• Languages: English
• ISSNs: 0014-5793

Abstract

Abstract : In recent years, investigation of virus–cell interactions has moved from ensemble measurements to imaging analyses at the single‐particle level. Advanced fluorescence microscopy techniques provide single‐molecule sensitivity and subdiffraction spatial resolution, allowing observation of subviral details and individual replication events to obtain detailed quantitative information. To exploit the full potential of these techniques, virologists need to employ novel labeling strategies, taking into account specific constraints imposed by viruses, as well as unique requirements of microscopic methods. Here, we compare strengths and limitations of various labeling methods, exemplify virological questions that were successfully addressed, and discuss challenges and future potential of novel approaches in virus imaging. Abstract : Advanced fluorescence‐based methods allow dynamic imaging of individual virus–host interactions Virus biology and the imaging technique used impose specific requirements on labeling strategies Minimal invasive techniques allow site‐specific protein labeling with synthetic dyes Combining novel labeling strategies and modern fluorescence techniques can provide unique, quantitative insights into virus biology