Project description:This study examines the proteolytic activity of the kefir grains (a combination of bacteria and yeast) on bovine milk proteins. SDS-PAGE analysis reveals substantial digestion of milk proteins by the kefir grains in comparison with control samples. Mass spectrometric analysis reveals that the kefir microorganisms released 609 new peptide fragments and significantly altered the abundance of around 1,500 peptides compared to the controls. These kefir-digested peptides derived from 55 milk proteins. We show that kefir contains 25 previously identified functional peptides with actions including antihypertensive, antimicrobial, opioid and anti-oxidative .
Project description:In this study, we applied a proteomics strategy to identify peptides present in sheep milk kefir fermented at different times. We aimed to understand changes in the digestion pattern of milk proteins as well as to identify potential bioactive peptides.
Project description:Kefir is a milk fermented by microorganisms with probiotic potential. Its consumption is associated with several beneficial effects, from antibacterial, healing, antioxidant, anti-inflammatory, anti-allergic, plasma glucose and cholesterol control to antitumor and antihypertensive activities. Despite its great potential, little is known about the bioactive molecules responsible for these actions. Therefore, the present project aims to perform the proteomic study of Kefir and its grain used for the milk fermentation aiming to identify the bioactive peptides, in particular those peptides with action in the cardiovascular system.
2019-12-16 | PXD012074 | JPOST Repository
Project description:fortified-milk kefir with microalgae
Project description:High throughput sequencing of miRNAs collected from tammar milk at different time points of lactation showed high levels of miRNA secreted in milk and allowed the identification of differentially expressed milk miRNAs during the lactation cycle as putative markers of mammary gland activity and functional candidate signals to assist growth and timed development of the young. Comparative analysis of miRNA distribution in milk and blood serum suggests that milk miRNAs are primarily expressed from mammary gland rather than transferred from maternal circulating blood, likely through a new putative exosomal secretory pathway.
Project description:Multi-omics has the promise to provide a detailed molecular picture for biological systems. Although obtaining multi-omics data is relatively easy, methods that analyze such data have been lagging. In this paper, we present an algorithm that uses probabilistic graph representations and external knowledge to perform optimum structure learning and deduce a multifarious interaction network for multi-omics data from a bacterial community. Kefir grain, a microbial community that ferments milk and creates kefir, represents a self-renewing, stable, natural microbial community. Kefir has been shown to associate with a wide range of health benefits. We obtained a controlled bacterial community using the two most abundant and well-studied species in kefir grains: Lentilactobacillus kefiri and Lactobacillus kefiranofaciens. We applied growth temperatures of 30°C and 37°C, and ob-tained transcriptomic, metabolomic, and proteomic data for the same 20 samples (10 samples per temperature). We obtained a multi-omics interaction network, which generated insights that would not have been possible with single-omics analysis. We identified interactions among transcripts, proteins, and metabolites suggesting active toxin/antitoxin systems. We also observed multifarious interactions that involved the shikimate pathway. These observations helped explain bacterial adaptation to different stress conditions, co-aggregation, and increased activation of L. kefiranofa-ciens at 37°C.