Amplification of Signal on Cell Surfaces in Molecular Cascades

Author:

Rudchenko Sergei1,Taylor Steven1,Milosavic Nenad1,Rudchenko Maria1,Wedderhoff Tissi Betina12,Mapara Markus Y.3,Stojanovic Milan N.14

Affiliation:

1. Division of Experimental Therapeutics, Department of Medicine, Columbia University, 630W 168th St., Box 84, New York, NY 10032, USA

2. Hunter College, City University of New York, 695 Park Avenue, New York, NY 10065, USA

3. Columbia Center for Translational Immunology, Department of Medicine, Columbia University, 630W 168th St., Box 84, New York, NY 10032, USA

4. Department of Biomedical Engineering, Columbia University, 630W 168th St., Box 84, New York, NY 10032, USA

Abstract

We can formulate mixtures of oligonucleotide–antibody conjugates to act as molecular cascade-based automata that analyze pairs of cell surface markers (CD markers) on individual cells in a manner consistent with the implementation of Boolean logic—for example, by producing a fluorescent label only if two markers are present. While traditional methods to characterize cells are based on transducing signals from individual cell surface markers, these cascades can be used to combine into a single signal the presence of two or even more CDs. In our original design, oligonucleotide components irreversibly flowed from one antibody to another, driven by increased hybridizations, leading to the magnitude of the final signal on each cell being determined by the surface marker that was the least abundant. This is a significant limitation to the precise labeling of narrow subpopulations, and, in order to overcome it, we changed our design to accomplish signal amplification to a more abundant cell surface marker. We show the AMPLIFY function on two examples: (1) we amplify the fluorescent label from the CD19 marker onto a fivefold more abundant CD45, and (2) we amplify broadly distributed CD45RA to a more constant marker, CD3. We expect this new function to enable the increasingly complex Boolean analysis of cell surfaces.

Funder

NIH

NSF

Emerson Collective Cancer Research Fund

Lymphoma and Leukemia Society, and the Sackler Foundation

Publisher

MDPI AG

Subject

General Medicine

Reference24 articles.

1. Exercises in molecular computing;Stojanovic;Acc. Chem. Res.,2014

2. De Silva, A.P. (2013). Molecular-Logic-Based Computation, RSC Publishing.

3. Nucleic acid-based molecular computation heads towards cellular applications;Chen;Chem. Commun.,2021

4. Bringing DNA computers to life;Shapiro;Sci. Am.,2006

5. Teaching a Molecular Automaton to Play a Game;Pei;Nat. Nanotechnol.,2010

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