Precise T cell recognition programs designed by transcriptionally linking multiple receptors

Science. 2020 Nov 27;370(6520):1099-1104. doi: 10.1126/science.abc6270.

Abstract

Living cells often identify their correct partner or target cells by integrating information from multiple receptors, achieving levels of recognition that are difficult to obtain with individual molecular interactions. In this study, we engineered a diverse library of multireceptor cell-cell recognition circuits by using synthetic Notch receptors to transcriptionally interconnect multiple molecular recognition events. These synthetic circuits allow engineered T cells to integrate extra- and intracellular antigen recognition, are robust to heterogeneity, and achieve precise recognition by integrating up to three different antigens with positive or negative logic. A three-antigen AND gate composed of three sequentially linked receptors shows selectivity in vivo, clearing three-antigen tumors while ignoring related two-antigen tumors. Daisy-chaining multiple molecular recognition events together in synthetic circuits provides a powerful way to engineer cellular-level recognition.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Antigens, Neoplasm / immunology
  • Cell Communication / immunology*
  • Cell Engineering*
  • Humans
  • Mice
  • Receptors, Chimeric Antigen / genetics
  • Receptors, Chimeric Antigen / immunology*
  • Receptors, Notch / genetics
  • Receptors, Notch / immunology*
  • T-Lymphocytes / immunology*
  • Transcription, Genetic

Substances

  • Antigens, Neoplasm
  • Receptors, Chimeric Antigen
  • Receptors, Notch