Publications by authors named "Weiyu Gao"

A recently identified virus, chicken circovirus (ChCV), has been linked to the onset of acute gastroenteritis in chicks, a condition that can have a detrimental impact on the overall health and well-being of chickens in a farming setting. In this study, we developed an enzyme-linked immunosorbent assay (ELISA) method for the indirect detection of antibodies against the chicken circovirus (ChCV) through codon optimization, which effectively expressed the capsid protein of the ChCV and utilized it as an encapsulated antigen following purification. In establishing the ELISA method for detecting antibodies using the purified Cap protein as the antigen, the optimal concentration of the antigen was determined to be 1 µg/mL, the optimal blocking solution was identified as 1% bovine serum albumin, the optimal dilution ratio of the serum to be tested was established to be 1:100, and the dilution ratio of the secondary antibody was determined to be 1:5,000.

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The deficiency of recombinant protein immune response could be compensated for by using nanoparticle platforms or adding immune enhancers, however existing vaccines or adjuvants struggle to elicit durable cellular immune responses. In this work, a protein nanoscaffold, lumazine synthase isolated from Brucella (BLS) was optimally designed that could facilitate cellular uptake of displayed antigens and the maturation of bone marrow-derived dendritic cells (BMDCs), and enhancing humoral immune responses. To enhance cellular immune response, chitosan hydrochloride-stabilized Pickering emulsion (CHSPE) was evaluated as an adjuvant for the BLS nanoscaffold-based vaccine.

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The development of effective tumor vaccines is an important direction in the field of cancer prevention/immunotherapy. Efficient antigen delivery is essential for inducing effective antitumor responses for tumor vaccines. Lumazine synthase (BLS) from spp.

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Identification of geographical origin is of great importance for protecting the authenticity of valuable agri-food products with designated origins. In this study, a robust and accurate analytical method that could authenticate the geographical origin of Geographical Indication (GI) products was developed. The method was based on elemental profiling using inductively coupled plasma mass spectrometry (ICP-MS) in combination with machine learning techniques for model building and feature selection.

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