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Autor(en) / Beteiligte
Titel
Nanopores Reveal the Stoichiometry of Single Oligoadenylates Produced by Type III CRISPR-Cas
Ist Teil von
  • ACS nano, 2024-07, Vol.18 (26), p.16505-16515
Ort / Verlag
United States: American Chemical Society
Erscheinungsjahr
2024
Quelle
MEDLINE
Beschreibungen/Notizen
  • Cyclic oligoadenylates (cOAs) are small second messenger molecules produced by the type III CRISPR-Cas system as part of the prokaryotic immune response. The role of cOAs is to allosterically activate downstream effector proteins that induce dormancy or cell death, and thus abort viral spread through the population. Interestingly, different type III systems have been reported to utilize different cOA stoichiometries (with 3 to 6 adenylate monophosphates). However, so far, their characterization has only been possible in bulk and with sophisticated equipment, while a portable assay with single-molecule resolution has been lacking. Here, we demonstrate the label-free detection of single cOA molecules using a simple protein nanopore assay. It sensitively identifies the stoichiometry of individual cOA molecules and their mixtures from synthetic and enzymatic origin. To achieve this, we trained a convolutional neural network (CNN) and validated it with a series of experiments on mono- and polydisperse cOA samples. Ultimately, we determined the stoichiometric composition of cOAs produced enzymatically by the CRISPR type III-A and III-B variants of Thermus thermophilus and confirmed the results by liquid chromatography–mass spectroscopy (LC-MS). Interestingly, both variants produce cOAs of nearly identical composition (within experimental uncertainties), and we discuss the biological implications of this finding. The presented nanopore-CNN workflow with single cOA resolution can be adapted to many other signaling molecules (including eukaryotic ones), and it may be integrated into portable handheld devices with potential point-of-care applications.
Sprache
Englisch
Identifikatoren
ISSN: 1936-0851, 1936-086X
eISSN: 1936-086X
DOI: 10.1021/acsnano.3c11769
Titel-ID: cdi_proquest_miscellaneous_3068754911

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