Logic networks based on immunorecognition processes.
The biochemical system logically processing biochemical signals using immune-specific and biocatalytic reactions was designed, and the generated output signals were analyzed by AFM and optical means. Different patterns of immune signals resulted in the formation of various interfacial structures followed by biocatalytic reactions activated by the next set of biochemical inputs. The developed approach to multisignal biosensing allows qualitative evaluation of the biochemical information in terms of YES-NO, providing the base for novel molecular-level logic analysis of complex patterns of biochemical signals. Application of AFM to read out the structures generated on the interface could potentially lead to substantial miniaturization of the immune logic systems.
Strack
Guinevere
G
Department of Chemistry and Biomolecular Science, Department of Physics, and Nanoengineering and Biotechnology Laboratories Center (NABLAB), Clarkson University, Potsdam, New York 13699, USA.
Chinnapareddy
Soujanya
S
Volkov
Dmytro
D
Halámek
Jan
J
Pita
Marcos
M
Sokolov
Igor
I
Katz
Evgeny
E
D000818:Animals; D001234:Aspergillus niger / Q000201:enzymology; D015374:Biosensing Techniques / Q000295:instrumentation* / Q000379:methods*; D002417:Cattle; D003198:Computer Simulation; D004563:Electrochemistry; D004797:Enzyme-Linked Immunosorbent Assay; D006801:Humans; D007107:Immune System; D008128:Logic; D018625:Microscopy, Atomic Force / Q000379:methods; D011817:Rabbits; D012815:Signal Processing, Computer-Assisted; D012984:Software