4.6 Article

Multi-arm RNA junctions encoding molecular logic unconstrained by input sequence for versatile cell-free diagnostics

Journal

NATURE BIOMEDICAL ENGINEERING
Volume 6, Issue 3, Pages 298-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41551-022-00857-7

Keywords

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Funding

  1. NIH Director's New Innovator Award [1DP2GM126892]
  2. NSF RAPID award [2029532]
  3. Gates Foundation [OPP1160667]
  4. Arizona Biomedical Research Commission funds [ADHS16162400, CTR051763]
  5. Alfred P. Sloan Fellowship [FG-2017-9108]
  6. NIH [1R21AI136571-01A1, U01AI148319, R01EB031893]
  7. Canadian Food Inspection Agency funds [39903-200137]
  8. Salud Digna Research Council [SDI-20166]
  9. Bill and Melinda Gates Foundation [OPP1160667] Funding Source: Bill and Melinda Gates Foundation

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This study demonstrates the integration of multi-arm junction RNAs with loop-initiated RNA activators, enabling the execution of sequence-independent molecular logic. This approach reduces sequence constraints and facilitates applications such as cell-free diagnostics.
Multi-arm junction RNAs integrating motifs for loop-initiated RNA activators enable the execution of molecular logic independent of RNA-input sequence, thus facilitating the design of cell-free diagnostics. Applications of RNA-based molecular logic have been hampered by sequence constraints imposed on the input and output of the circuits. Here we show that the sequence constraints can be substantially reduced by appropriately encoded multi-arm junctions of single-stranded RNA structures. To conditionally activate RNA translation, we integrated multi-arm junctions, self-assembled upstream of a regulated gene and designed to unfold sequentially in response to different RNA inputs, with motifs of loop-initiated RNA activators that function independently of the sequence of the input RNAs and that reduce interference with the output gene. We used the integrated RNA system and sequence-independent input RNAs to execute two-input and three-input OR and AND logic in Escherichia coli, and designed paper-based cell-free colourimetric assays that accurately identified two human immunodeficiency virus (HIV) subtypes (by executing OR logic) in amplified synthetic HIV RNA as well as severe acute respiratory syndrome coronavirus-2 (via two-input AND logic) in amplified RNA from saliva samples. The sequence-independent molecular logic enabled by the integration of multi-arm junction RNAs with motifs for loop-initiated RNA activators may be broadly applicable in biotechnology.

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