Literature DB >> 34465623

Direct visualization of superselective colloid-surface binding mediated by multivalent interactions.

Christine Linne1,2, Daniele Visco3,4, Stefano Angioletti-Uberti3,4, Liedewij Laan5, Daniela J Kraft6.   

Abstract

Reliably distinguishing between cells based on minute differences in receptor density is crucial for cell-cell or virus-cell recognition, the initiation of signal transduction, and selective targeting in directed drug delivery. Such sharp differentiation between different surfaces based on their receptor density can only be achieved by multivalent interactions. Several theoretical and experimental works have contributed to our understanding of this "superselectivity." However, a versatile, controlled experimental model system that allows quantitative measurements on the ligand-receptor level is still missing. Here, we present a multivalent model system based on colloidal particles equipped with surface-mobile DNA linkers that can superselectively target a surface functionalized with the complementary mobile DNA-linkers. Using a combined approach of light microscopy and Foerster resonance energy transfer (FRET), we can directly observe the binding and recruitment of the ligand-receptor pairs in the contact area. We find a nonlinear transition in colloid-surface binding probability with increasing ligand or receptor concentration. In addition, we observe an increased sensitivity with weaker ligand-receptor interactions, and we confirm that the timescale of binding reversibility of individual linkers has a strong influence on superselectivity. These unprecedented insights on the ligand-receptor level provide dynamic information into the multivalent interaction between two fluidic membranes mediated by both mobile receptors and ligands and will enable future work on the role of spatial-temporal ligand-receptor dynamics on colloid-surface binding.

Entities:  

Keywords:  DNA-coated colloids; binding kinetics; multivalent interactions; superselectivity; surface adhesion

Mesh:

Substances:

Year:  2021        PMID: 34465623      PMCID: PMC8433554          DOI: 10.1073/pnas.2106036118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

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Journal:  Curr Opin Chem Biol       Date:  2006-09-26       Impact factor: 8.822

2.  Dual-receptor targeted strategy in nanoparticle design achieves tumor cell selectivity through cooperativity.

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Journal:  Nanoscale       Date:  2019-03-07       Impact factor: 7.790

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Journal:  Phys Rev Lett       Date:  2012-12-04       Impact factor: 9.161

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Journal:  Biochem J       Date:  1999-05-01       Impact factor: 3.857

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Authors:  Jetty van Ginkel; Mike Filius; Malwina Szczepaniak; Pawel Tulinski; Anne S Meyer; Chirlmin Joo
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-12       Impact factor: 11.205

6.  Multivalent nanoparticles for personalized theranostics based on tumor receptor distribution behavior.

Authors:  Yahui Zhang; Mingbo Cheng; Jing Cao; Yajie Zhang; Zhi Yuan; Qiang Wu; Wei Wang
Journal:  Nanoscale       Date:  2019-03-14       Impact factor: 7.790

7.  Colloid supported lipid bilayers for self-assembly.

Authors:  Melissa Rinaldin; Ruben W Verweij; Indrani Chakraborty; Daniela J Kraft
Journal:  Soft Matter       Date:  2019-02-06       Impact factor: 3.679

8.  Mechanisms of cooperation in cancer nanomedicine: towards systems nanotechnology.

Authors:  Sabine Hauert; Sangeeta N Bhatia
Journal:  Trends Biotechnol       Date:  2014-07-30       Impact factor: 19.536

9.  Recruitment of receptors at supported lipid bilayers promoted by the multivalent binding of ligand-modified unilamellar vesicles.

Authors:  Daniele Di Iorio; Yao Lu; Joris Meulman; Jurriaan Huskens
Journal:  Chem Sci       Date:  2020-03-09       Impact factor: 9.825

10.  Combinatorial entropy behaviour leads to range selective binding in ligand-receptor interactions.

Authors:  Meng Liu; Azzurra Apriceno; Miguel Sipin; Edoardo Scarpa; Laura Rodriguez-Arco; Alessandro Poma; Gabriele Marchello; Giuseppe Battaglia; Stefano Angioletti-Uberti
Journal:  Nat Commun       Date:  2020-09-24       Impact factor: 14.919

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  1 in total

1.  Controlling Superselectivity of Multivalent Interactions with Cofactors and Competitors.

Authors:  Tine Curk; Galina V Dubacheva; Alain R Brisson; Ralf P Richter
Journal:  J Am Chem Soc       Date:  2022-09-14       Impact factor: 16.383

  1 in total

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