journal article·2021

Budded baculoviruses as a receptor display system to quantify ligand binding with TIRF microscopy

Tõnis Laasfeld, Robin Ehrminger, Maris-Johanna Tahk, Santa Veiksina, Karl Rene Kõlvart, Mart Min, Sergei Kopanchuk, Ago Rinken

Nanoscale· Volume 13· Issue 4
Publisher page

Abstract

Studying mechanisms of receptor-ligand interactions has remained challenging due to several limitations of different measurement methods. Here we present a total internal reflection fluorescence microscopy-based method that maintains the right balance between retaining the receptors in the natural lipid environment, sufficient throughput for ligand screening, high sensitivity, and offering more detailed view into the ligand-binding process. The novel method combines G protein-coupled receptor display in budded baculovirus particles and the immobilization of the particles to a functionalized coverslip. We adapted and validated the functionalized coverslip preparation process to achieve selective immobilization of budded baculovirus particles. The selectivity of budded baculovirus immobilization was validated with budded baculovirus particles displaying either Frizzled 6 receptors labeled with mCherry or neuropeptide Y Y1 receptors. To scale the system for ligand binding assays, we developed both open-source multiwell systems and image analysis software SPOTNIC for flexible assay design. The neuropeptide Y Y1 receptor was used for further receptor-ligand binding studies with high-affinity TAMRA labeled fluorescent ligand UR-MC026. The affinities of the fluorescent ligand and four unlabeled ligands (BIBO3304, UR-MK299, PYY, pNPY) were obtained with the developed method and followed a similar trend with both the parallel measurements with fluorescence anisotropy method and the data published earlier. The novel method could be extended for various advanced assays utilizing multidimensional detection modes, integrating super-resolution methods for single molecule detection and microfluidic devices for kinetic measurements.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Medieval Iberian Studies · Medieval and Early Modern Iberia · Medieval Architecture and Archaeology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

University of Tartu

Institute of Chemistry

Tartu

Estonia

Tallinn University of Technology

Thomas Johann Seebeck Department of Electronics

Tallinn

Funding

North Atlantic Treaty Organization · European Regional Development Fund · Eesti Teadusagentuur

References (40)

Show source-provided references
1. Almén · BMC Biol. · 2009 · 7 · 5010.1186/1741-7007-7-50 ↗
2. Nugent · BMC Bioinf. · 2009 · 10 · 15910.1186/1471-2105-10-159 ↗
3. Overington · Nat. Rev. Drug Discovery · 2006 · 5 · 99310.1038/nrd2199 ↗
4. Insel · Trends Pharmacol. Sci. · 2019 · 40 · 37810.1016/j.tips.2019.04.001 ↗
5. Hern · Proc. Natl. Acad. Sci. U. S. A. · 2010 · 107 · 269310.1073/pnas.0907915107 ↗
6. Kasai · J. Cell Biol. · 2011 · 192 · 46310.1083/jcb.201009128 ↗
7. Calebiro · Trends Pharmacol. Sci. · 2018 · 39 · 10910.1016/j.tips.2017.10.010 ↗
8. Kusumi · Nat. Chem. Biol. · 2014 · 10 · 52410.1038/nchembio.1558 ↗
9. Denisov · Chem. Rev. · 2017 · 117 · 466910.1021/acs.chemrev.6b00690 ↗
10. Dörr · Eur. Biophys. J. · 2016 · 45 · 310.1007/s00249-015-1093-y ↗
11. Grime · Nanoscale · 2020 · 12 · 1151810.1039/D0NR01060J ↗
12. Gao · PLoS One · 2012 · 7 · e4491110.1371/journal.pone.0044911 ↗
13. Pick · Chem. Rev. · 2018 · 118 · 859810.1021/acs.chemrev.7b00777 ↗
14. Zemanová · Biochemistry · 2004 · 43 · 902110.1021/bi035901+ ↗
15. Veiksina · Biochim. Biophys. Acta, Biomembr. · 2014 · 1838 · 37210.1016/j.bbamem.2013.09.015 ↗
16. Tõntson · Neurochem. Int. · 2014 · 67 · 3210.1016/j.neuint.2014.01.012 ↗
17. Veiksina · Methods Mol. Biol. · 2015 · 1272 · 3710.1007/978-1-4939-2336-6_3 ↗
18. Rinken · Trends Pharmacol. Sci. · 2018 · 39 · 18710.1016/j.tips.2017.10.004 ↗
19. Axelrod · Top. Fluoresc. Spectrosc. · 2006 · 2002 · 289
20. Keller · J. Med. Chem. · 2015 · 58 · 883410.1021/acs.jmedchem.5b00925 ↗
21. Koehler · Nat. Methods · 2016 · 13 · 99710.1038/nmeth.4032 ↗
22. Palmberger · Bioengineered · 2013 · 4 · 7810.4161/bioe.22327 ↗
23. Jain · Nat. Protoc. · 2012 · 7 · 44510.1038/nprot.2011.452 ↗
24. Laasfeld · BioTechniques · 2017 · 63 · 16110.2144/000114595 ↗
25. Aguet · Dev. Cell · 2013 · 26 · 27910.1016/j.devcel.2013.06.019 ↗
26. Allikalt · Eur. J. Pharmacol. · 2018 · 839 · 4010.1016/j.ejphar.2018.09.008 ↗
27. Link · J. Neurochem. · 2020 · 153 · 34610.1111/jnc.14933 ↗
28. Kuhn · Integr. Biol. · 2012 · 4 · 155010.1039/c2ib20181j ↗
29. Grätz · Biochem. Biophys. Acta – Mol. Cell Res. · 2021 · 1868 · 11893010.1016/j.bbamcr.2020.118930 ↗
30. Ehrminger · Proc. Est. Acad. Sci. · 2020 · 69 · 2710.3176/proc.2020.1.02 ↗
31. Wang · J. Invertebr. Pathol. · 2016 · 134 · 1510.1016/j.jip.2015.12.001 ↗
32. Wesslowski · J. Biol. Chem. · 2020 · 295 · 875910.1074/jbc.RA120.012892 ↗
33. Wieland · Br. J. Pharmacol. · 1998 · 125 · 54910.1038/sj.bjp.0702084 ↗
34. Dumont · Br. J. Pharmacol. · 2000 · 129 · 3710.1038/sj.bjp.0702983 ↗
35. Uustare · Neurosci. Lett. · 2006 · 406 · 16910.1016/j.neulet.2006.07.051 ↗
36. Rolfe · Eur. Biophys. J. · 2011 · 40 · 116710.1007/s00249-011-0747-7 ↗
37. Loveland · Nat. Methods · 2012 · 9 · 98710.1038/nmeth.2174 ↗
38. Beghin · Nat. Methods · 2017 · 14 · 118410.1038/nmeth.4486 ↗
39. Da Syu · Nat. Commun. · 2019 · 10 · 110.1038/s41467-018-07882-8 ↗
40. Hiroshima · Microscopy · 2020 · 69 · 6910.1093/jmicro/dfz116 ↗