High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SARS-CoV-2. However, RT-PCR requires the extraction of viral RNA from clinical specimens to obtain high sensitivity. Here, we report a method for detecting novel coronaviruses with high sensitivity by using nanopores together with artificial intelligence, a relatively simple procedure that does not require RNA extraction. Our final platform, which we call the artificially intelligent nanopore, consists of machine learning software on a server, a portable high-speed and high-precision current measuring instrument, and scalable, cost-effective semiconducting nanopore modules. We show that artificially intelligent nanopores are successful in accurately identifying four types of coronaviruses similar in size, HCoV-229E, SARS-CoV, MERS-CoV, and SARS-CoV-2. Detection of SARS-CoV-2 in saliva specimen is achieved with a sensitivity of 90% and specificity of 96% with a 5-minute measurement.
Innate immunity is essential for insects to survive infectious pathogens. In baculovirus-infected lepidopteran cells, apoptosis and global protein synthesis shutdown are major mechanisms of intracellular innate immunity that inhibit viral replication. In contrast, baculoviruses have evolved diverse genes and mechanisms to counter the antiviral immunity activated in infected cells. In this review, we summarize the current knowledge of the cellular antiviral pathways and the baculovirus genes that modulate antiviral immunity. The studies highlighted illustrate a high degree of diversity in both the cellular responses against viral infections and viral responses against intracellular antiviral immunity, providing an important basis of further studies in this field.
The COVID-19 pandemic has created urgent demand for rapid detection of the SARS-CoV-2 coronavirus. Herein, we report highly sensitive detection of SARS-CoV-2 nucleocapsid protein (N protein) using nanoparticle-enhanced surface plasmon resonance (SPR) techniques. A crucial plasmonic role in significantly enhancing the limit of detection (LOD) is revealed for exceptionally large gold nanoparticles (AuNPs) with diameters of hundreds of nm. SPR enhanced by these large nanoparticles lowered the LOD of SARS-CoV-2 N protein to 85 fM, resulting in the highest SPR detection sensitivity ever obtained for SARS-CoV-2 N protein.
Baculoviruses, members of the family Baculoviridae, are large, enveloped viruses that contain a doublestranded circular DNA genome of 80-180 kbp, encoding 90-180 putative proteins. These viruses are exclusively pathogenic for arthropods, particularly insects, and have been developed, or are being developed, as environmentally sound pesticides and eukaryotic vectors for foreign protein expression, surface display, gene delivery for gene therapy, vaccine production and drug screening. The baculoviruses contain a set of approximately 30 core genes that are conserved among all baculovirus genomes sequenced to date. Individual baculoviruses also contain a number of lineage-or species-specific genes that have greatly impacted the diversification and evolution of baculoviruses. In this review, we first describe the general properties and biology of baculoviruses and then focus on the baculovirus genes and mechanisms involved in the replication, spread and survival of baculoviruses within the context of their diversity, evolution and insect manipulation.
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