Neutrophilic asthma is associated with airway microbiology that is significantly different from that seen in patients with other inflammatory phenotypes, particularly eosinophilic asthma. Differences in microbiota composition might influence the response to antimicrobial and steroid therapies and the risk of lung infection.
Molecular automata are mixtures of molecules that undergo precisely defined structural changes in response to sequential interactions with inputs1–4. Previously studied nucleic acid-based-automata include game-playing molecular devices (MAYA automata3,5) and finite-state automata for analysis of nucleic acids6 with the latter inspiring circuits for the analysis of RNA species inside cells7,8. Here, we describe automata based on strand-displacement9,10 cascades directed by antibodies that can analyze cells by using their surface markers as inputs. The final output of a molecular automaton that successfully completes its analysis is the presence of a unique molecular tag on the cell surface of a specific subpopulation of lymphocytes within human blood cells.
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