Skip to Main content Skip to Navigation
Journal articles

Computer‐aided biochemical programming of synthetic microreactors as diagnostic devices

Abstract : Biological systems have evolved efficient sensing and decision-making mechanisms to maximize fitness in changing molecular environments. Synthetic biologists have exploited these capabilities to engineer control on information and energy processing in living cells. While engineered organisms pose important technological and ethical challenges, de novo assembly of non-living biomolecular devices could offer promising avenues toward various real-world applications. However, assembling biochemical parts into functional information processing systems has remained challenging due to extensive multidimensional parameter spaces that must be sampled comprehensively in order to identify robust, specification compliant molecular implementations. We introduce a systematic methodology based on automated computational design and microfluidics enabling the programming of synthetic cell-like microreactors embedding biochemical logic circuits, or protosensors, to perform accurate biosensing and biocomputing operations in vitro according to temporal logic specifications. We show that proof-of-concept protosensors integrating diagnostic algorithms detect specific patterns of biomarkers in human clinical samples. Protosensors may enable novel approaches to medicine and represent a step toward autonomous micromachines capable of precise interfacing of human physiology or other complex biological environments, ecosystems, or industrial bioprocesses.
Document type :
Journal articles
Complete list of metadatas

https://hal.inria.fr/hal-01779791
Contributor : Patrick Amar <>
Submitted on : Thursday, April 26, 2018 - 11:21:22 PM
Last modification on : Wednesday, October 14, 2020 - 4:08:34 AM

Links full text

Identifiers

Citation

Alexis Courbet, Patrick Amar, François Fages, Eric Renard, Franck Molina. Computer‐aided biochemical programming of synthetic microreactors as diagnostic devices. Molecular Systems Biology, EMBO Press, 2018, 14 (4), ⟨10.15252/msb.20177845⟩. ⟨hal-01779791⟩

Share

Metrics

Record views

327