Exploration of important insect proteins - including allergens - and proteomes can be limited by protein extraction buffer selection and the complexity of the proteome. Herein, LC-MS/MS-based proteomics experiments were used to assess the protein extraction efficiencies for a suite of extraction buffers and the effect of ingredient processing on proteome and allergen detection. Discovery proteomics revealed that SDS-based buffer yields the maximum number of protein groups from three types of BSF samples. Bioinformatic analysis revealed that buffer composition and ingredient processing could influence allergen detection. Upon applying multi-level filtering criteria, 33 putative allergens were detected by comparing the detected BSF proteins to sequences from public allergen protein databases. A targeted LC-MRM-MS assay was developed for the pan-allergen tropomyosin and used to assess the influence of buffer composition and ingredient processing using peptide abundance measurements. SIGNIFICANCE: We demonstrated that the selection of protein extraction buffer and the processing method could influence protein yield and cross-reactive allergen detection from processed and un-processed black soldier fly (BSF) samples. In total, 33 putative allergens were detected by comparing the detected BSF proteins to sequences from public allergen protein databases. An LC-MRM-MS assay was developed for tropomyosin, indicating the importance of buffer selection and processing conditions to reduce BSF samples' allergenicity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jprot.2022.104724 | DOI Listing |
PLoS One
December 2024
Hangzhou Institute of Medicine (HIM), Zhejiang Cancer Hospital, Zhejiang, Hangzhou, China.
Purpose: Approximately 20% of all breast cancer cases are classified as triple-negative breast cancer (TNBC), which represents the most challenging subtype due to its poor prognosis and high metastatic rate. Caffeic acid phenethyl ester (CAPE), the main component extracted from propolis, has been reported to exhibit anticancer activity across various tumor cell types. This study aimed to investigate the effects and mechanisms of CAPE on TNBC.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon, Republic of Korea.
The increasing utilization of deep learning models in drug repositioning has proven to be highly efficient and effective. In this study, we employed an integrated deep-learning model followed by traditional drug screening approach to screen a library of FDA-approved drugs, aiming to identify novel inhibitors targeting the TNF-α converting enzyme (TACE). TACE, also known as ADAM17, plays a crucial role in the inflammatory response by converting pro-TNF-α to its active soluble form and cleaving other inflammatory mediators, making it a promising target for therapeutic intervention in diseases such as rheumatoid arthritis.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Pharmacy Practice, Faculty of Pharmacy, Airlangga University, Surabaya, Indonesia.
Food allergies are a global health problem that continues to grow annually, with a prevalence of more than 10%. Shrimp allergy is the most common and life-threatening allergy. There is no cure for food allergies, but shrimp allergen extract (SAE) offers promise as a treatment through allergen-specific immunotherapy (AIT).
View Article and Find Full Text PDFACS Synth Biol
December 2024
Proteo-Science Center, Ehime University, 2-5 Bunkyo, Matsuyama, Ehime 790-8577, Japan.
Cell-free systems, which can express an easily detectable output (protein) with a DNA or mRNA template, are promising as foundations of biosensors devoid of cellular constraints. Moreover, by encasing them in membranes such as natural cells to create artificial cells, these systems can avoid the adverse effects of environmental inhibitory molecules. However, the bacterial systems generally used for this purpose do not function well at ambient temperatures.
View Article and Find Full Text PDFMethods Mol Biol
December 2024
The Centre for Crop and Disease Management, Curtin University, Bentley, WA, Australia.
The biochemical makeup of any organism provides insight into key factors regarding its biological functions. These factors can be explored using proteomics, which allows us to obtain a snapshot of the protein content and abundance in an organism, cell type or sub-cellular compartment. Here, we describe proteomic methodologies that can be used to dissect the biochemical mechanism of phytopathogenicity in oomycetes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!