Publications by authors named "Hung Chih Ni"
Article Synopsis
- Long-non-coding RNAs (lncRNAs) are RNA sequences longer than 200 nucleotides that do not code for proteins, but play important roles in various biological processes and are found in many species.
- Computational methods have been developed to predict RNA-DNA triplex formations, but they often produce high false-positive rates, necessitating improvements for more accurate predictions.
- To enhance prediction reliability, researchers created a new database called TRIPBASE, which provides genome-wide triplex predictions of human lncRNAs and allows users to apply customized filters for accessing potential triplex interactions in regulatory regions of the human genome.
To explore how the immune system controls clearance of SARS-CoV-2, we used a single-cell, mass cytometry-based proteomics platform to profile the immune systems of 21 patients who had recovered from SARS-CoV-2 infection without need for admission to an intensive care unit or for mechanical ventilation. We focused on receptors involved in interactions between immune cells and virus-infected cells. We found that the diversity of receptor repertoires on natural killer (NK) cells was negatively correlated with the viral clearance rate.
View Article and Find Full Text PDFSeveral species of drywood termites, subterranean termites, and fungus-growing termites cause extensive economic losses annually worldwide. Because no universal method is available for controlling all termites, correct species identification is crucial for termite management. Despite deep neural network technologies' promising performance in pest recognition, a method for automatic termite recognition remains lacking.
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