Synergetic collision and space separation in microfluidic chip for efficient affinity-discriminated molecular selection

Proc Natl Acad Sci U S A. 2022 Oct 11;119(41):e2211538119. doi: 10.1073/pnas.2211538119. Epub 2022 Oct 3.

Abstract

Efficient molecular selection is a prerequisite for generating molecular tools used in diagnosis, pathology, vaccinology, and therapeutics. Selection efficiency is thermodynamically highly dependent on the dissociation equilibrium that can be reached in a single round. Extreme shifting of equilibrium towards dissociation favors the retention of high-affinity ligands over those with lower affinity, thus improving the selection efficiency. We propose to synergize dual effects by deterministic lateral-displacement microfluidics, including the collision-based force effect and the two-dimensional (2D) separation-based concentration effect, to greatly shift the equilibrium. Compared with previous approaches, this system can remove more low- or moderate-affinity ligands and maintain most high-affinity ligands, thereby improving affinity discrimination in selection. This strategy is demonstrated on phage display in both experiment and simulation, and two peptides against tumor markers ephrin type-A receptor 2 (EphA2) and CD71 were obtained with high affinity and specificity within a single round of selection, which offers a promising direction for discovery of robust binding ligands for a wide range of biomedical applications.

Keywords: affinity discrimination; microfluidics; molecular selection; phage display.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor
  • Ephrins
  • Ligands
  • Microfluidics*
  • Peptides* / chemistry

Substances

  • Biomarkers, Tumor
  • Ephrins
  • Ligands
  • Peptides