4.6 Article

Mining the Royal Jelly Proteins: Combinatorial Hexapeptide Ligand Library Significantly Improves the MS-Based Proteomic Identification in Complex Biological Samples

期刊

MOLECULES
卷 26, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/molecules26092762

关键词

royal jelly; proteins; ProteoMiner(TM); MALDI-TOF-MS; proteomics; beehive product

资金

  1. Polish National Science Centre [2016/23/D/NZ7/03949]

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The research aims to expand the understanding of the proteomic composition of fresh royal jelly (RJ) by using the ProteoMiner(TM) pre-treatment technique, which resulted in the detection of more proteins compared to traditional methods. The study identified hypothetical proteins whose existence has been predicted without experimental evidence, as well as uncharacterized proteins with unknown functions in RJ.
Royal jelly (RJ) is a complex, creamy secretion produced by the glands of worker bees. Due to its health-promoting properties, it is used by humans as a dietary supplement. However, RJ compounds are not fully characterized yet. Hence, in this research, we aimed to broaden the knowledge of the proteomic composition of fresh RJ. Water extracts of the samples were pre-treated using combinatorial hexapeptide ligand libraries (ProteoMiner(TM) kit), trypsin-digested, and analyzed by a nanoLC-MALDI-TOF/TOF MS system. To check the ProteoMiner(TM) performance in the MS-based protein identification, we also examined RJ extracts that were not prepared with the ProteoMiner(TM) kit. We identified a total of 86 proteins taxonomically classified to Apis spp. (bees). Among them, 74 proteins were detected in RJ extracts pre-treated with ProteoMiner(TM) kit, and only 50 proteins were found in extracts non-enriched with this technique. Ten of the identified features were hypothetical proteins whose existence has been predicted, but any experimental evidence proves their in vivo expression. Additionally, we detected four uncharacterized proteins of unknown functions. The results of this research indicate that the ProteoMiner(TM) strategy improves proteomic identification in complex biological samples. Broadening the knowledge of RJ composition may contribute to the development of standards and regulations, enhancing the quality of RJ, and consequently, the safety of its supplementation.

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