Effect of polyamines on thermal inactivation of hen egg white lysozyme

Lysozyme is considered as part of the innate immune system. It has stimulated considerable interest as a natural food preservative. Lysozyme has been shown to be effective in preserving a variety of foods such as fresh fruits and vegetables, meats, seafood and wine, for which many Japanese patents have been granted. The relatively high thermal stability of lysozyme also makes it attractive for use in pasteurized and heat-sterilized food products, possibly allowing reduced thermal processes, and therefore, minimized nutritional and sensory quality loss. In this study, we investigated effect of polyamines on the thermal inactivation of lysozyme by kinetics curves. Our results showed that polyamines can decrease the thermal inactivation of lysozyme; the effect of spermine on the thermal inactivation of lysozyme was more than that of the spermidine

Thermal aggregation of hen egg white lysozyme: effect of polyamines

Protein aggregation is a serious problem for both biotechnology and cell biology. Diseases such as prion misfolding, Alzheimer's, and other amyloidosis are phenomena for which protein aggregation in our living cells is of considerable relevance. Human lysozyme has been shown to form amyloid fibrils in individuals suffering from nonneuropathic systemic amyloidosis, all of which have point mutations in the lysozyme gene. In this study, we investigated effect of small additives on the thermal aggregation of lysozyme. The main finding of this work is that multiple amine groups, spermine and spermidine, play pivotal roles in preventing the thermal aggregation of lysozyme. Our results showed that effect of spermine is more than spermidine

Biclustering algorithm for embryonic tumor gene expression dataset: LAS algorithm

An important step in considering of gene expression data is obtained groups of genes that have similarity patterns. Biclustering methods was recently introduced for discovering subsets of genes that have coherent values across a subset of conditions. The LAS algorithm relies on a heuristic randomized search to find biclusters. In this paper, we introduce biclustering LAS algorithm and then apply this procedure for real value gene expression data. In this study after normalized data, LAS performed. 31 biclusters were discovered that 26 of them were for positive gene expression values and others were for negative. Biological validity for LAS procedure in biological process, in molecular function and in cellular component were 77.96%, 62.28% and 74.39% respictively. The result of biological validation of LAS algorithm in this study had shown LAS algorithm effectively convenient in discovering good biclusters

Proteomics a key tool for a better understanding of endometriosis: a mini- review

Endometriosis is a painful reproductive disease afflicting about up to 20% of women. It is one of the most frequent benign gynaecological diseases, however, little is known about the pathological of endometriosis. Over the past decade, high-throughput proteomics technologies have evolved considerably and have become increasingly more commonly applied to the investigation of female reproductive disease, including endometriosis. In this mini-review the authors look at the application of proteomics technologies in order to find biomarker associated with endometriosis