한빛사논문
Chaewon Park1, Eunjung Kim2, Geunseon Park1, Byoung Choul Kim2, Srivithya Vellampatti2, Jong-Woo Lim3, Sojeong Lee1, Soohyun Chung1, Sung-Hoon Jun4, Sangyoon Lee1, Sajid Ali5, Minjoo Yeom3, Daesub Song3, Seungjoo Haam1
1Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea
2Department of Bioengineering and Nano-Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
3College of Veterinary Medicine and Research Institute for Veterinary Science, Seoul National University, Seoul 08826, Republic of Korea
4Electron Microscopy & Spectroscopy TeamKorea Basic Science InstituteChungbuk 28119, Republic of Korea
5Department of Electrical and Computer EngineeringSungkyunkwan UniversitySuwon 16419, Republic of Korea
C. Park and E. Kim contributed equally to this work.
CORRESPONDING AUTHORS: Daesub Song, Seungjoo Haam
Abstract
The emergence of fatal viruses that pose continuous threats to global health has fueled the intense effort to develop direct, accurate, and high-throughput virus detection platforms. Current diagnostic methods, including qPCR and rapid antigen tests, indicate how much of the virus is present, whether small fragments or whole viruses. However, these methods do not indicate the probability of the virus to be active, capable of interacting with host cells and initiating the infection cycle. Herein, a sialic acid-presenting fusogenic liposome (sLipo–Chol) nanosensor with purposefully modulated membrane rigidity to rapidly detect the fusion-competent influenza A virus (IAV) is developed. This nanosensor possesses virus-specific features, including hemagglutinin (HA) binding and HA-mediated membrane fusion. It is explored how the fusogenic capability of sLipo–Chol with different membrane rigidities impacts their sensing performance by integrating Förster resonance energy transfer (FRET) pairs into the bilayers. The addition of an intact virus led to instant FRET signal changes, thus enabling the direct detection of diverse IAV subtypes—even in avian fecal samples—within an hour at room temperature. Therefore, the sensing approach, with an understanding of the cellular pathogenesis of influenza viruses, will aid in developing bioinspired nanomaterials for evolution into nanosystems to detect infection-competent viruses.
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