– Utilized an oligonucleotide synthetic library containing fragments of viral sequences from the untranslated regions and start coding sequences.
– The library was transfected into two human cell lines.
– Ribosome profiling was conducted to detect non-canonical open reading frames (ORFs).
– Identified a total of 4,208 non-canonical ORFs across synthetic and native viral infection scenarios.
– Strong correlation observed between ribosome footprints detected in the synthetic experiments and those from four native viral infections.read More
This breakthrough in viral genomics introduces a scalable technique for identifying translated regions within diverse viruses. It offers potential benefits globally,particularly for nations like india with high viral diversity due to its tropical climate and population density. Improved understanding of viral translation mechanisms could aid India’s healthcare system by enhancing diagnostic abilities, antiviral drug development, and vaccine strategies. Additionally, this research aligns well with India’s growing focus on biotechnology innovation as a means to address infectious diseases effectively.
While the study dose not mention India specifically, its implications for the country are clear given existing challenges such as periodic outbreaks of mosquito-borne virus-driven illnesses like dengue or chikungunya. Leveraging genomic advancements like these could significantly bolster data-driven responses at scale amidst India’s ongoing efforts to strengthen public health infrastructure through technological integration.