Current Proteomics - Volume 16, Issue 3, 2019

Motivation: Lysine malonylation in eukaryote proteins had been found in 2011 through high-throughput proteomic analysis. However, it was poorly understood in prokaryotes. Recent researches have shown that maonylation in E. coli was significantly enriched in protein translation, energy metabolism pathways and fatty acid biosynthesis. Results: In this work we proposed a predictor to identify the lysine malonylation sites in E. coli through physicochemical properties, binary code and sequence frequency by support vector machine algorithm. The experimentally determined lysine malonylation sites were retrieved from the first and largest malonylome dataset in prokaryotes up to date. The physicochemical properties plus position specific amino acid sequence propensity features got the best results with AUC (the area under the Receive Operating Character curve) 0.7994, MCC (Mathew correlation coefficient) 0.4335 in 10-fold cross-validation. Meanwhile the AUC values were 0.7800, 0.7851 and 0.8050 in 6-fold, 8-fold and LOO (leave-one-out) cross-validation, respectively. All the ROC curves were close to each other which illustrated the robustness and performance of the proposed predictor. We also analyzed the sequence propensities through TwoSampleLogo and found some peptides differences with t-test p<0.01. The predictor had shown better results than those of other methods K-Nearest Neighbors, C4.5 decision tree, Naïve Bayes and Random Forest. Functional analysis showed that malonylated proteins were involved in many transcription activities and diverse biological processes. Meanwhile we also developed an online package which could be freely downloaded https://github.com/Sunmile/ Malonylation E.coli.

Objective: To verify whether the botulinum toxin heavy chain HCS has specific neuronal targeting function and to confirm whether TAT-EGFP-LC has hydrolyzable SNAP-25 and has transmembrane biological activity. Methods: We constructed the pET-28a-TAT-EGFP-HCS/LC plasmid. After the plasmid is expressed and purified, we co-cultured it with nerve cells or tumors. In addition, we used Western-Blot to identify whether protein LC and TAT-EGFP-LC can digest the protein SNAP-25. Results: Fluorescence imaging showed that PC12, BV2, C6 and HeLa cells all showed green fluorescence, and TAT-EGFP-HCS had the strongest fluorescence. Moreover, TAT-EGFP-LC can hydrolyze intracellular SNAP-25 in PC12 cells, C6 cells, BV2 cells and HeLa, whereas LC alone cannot. In addition, the in vivo protein TAT-EGFP-HCS can penetrate the blood-brain barrier and enter mouse brain tissue. Conclusion: TAT-EGFP-HSC expressed in vitro has neural guidance function and can carry large proteins across the cell membrane without influencing the biological activity.

Background: Aloe vera, a plant belonging to the family Xanthorrhoeaceae, has received special interest in recent years, not only for the commercial importance of its derivatives, but also because of the identification of new molecules from this plant. The latter may provide a scientific support for ethnobotany, which has been beneficial to mankind for centuries. Objective: Recently, the pharmacological activity of proteins derived from natural sources, including plants, is being explored. We report on the extraction and identification of proteins from A. vera with antimicrobial activity. Results: The protein extract (yield, 0.15%) contained 15 peptides or proteins, whose sequences were associated with membrane proteins, enzymes, and proteins involved in stress tolerance and defense against pathogens. The latter is consistent with the previously reported antimicrobial activity of an A. vera protein extract.

Background: Using a bacterial expression system such as Escherichia coli (E. coli) is very common for protein expression because of its simplicity, low cost and high efficiency. Objective: In order to express proteins that contain di-sulfide bands, an oxidative space such as the periplasmic environment of the bacteria is required. Therefore, a leader sequence which named Signal Peptide (SP) is needed to direct recombinant protein to fold in periplasmic space. Interleukin-2 (IL-2) is a prominent cytokine which known as growth factor for T-cells and typically produced by a variety of immune cells that stimulate and regulate inflammatory and immune responses. Methods: This study was designed to predict the best signal peptides to express IL-2 in E. coli. To predict the best signal peptides for the expression of IL-2 in Gram-negative bacteria (E. coli), forty-five sequences of SPs were extracted from data base. Some most important details such as n, h and c regions of signal peptides and their probability were studied through the signalP software. Afterwards, physico–chemical features of SPs were analyzed by Portparam and Solpro tools. Finally, secretion-pathway and sub-cellular localization sites were evaluated by PRED-TAT and ProtcompB softwares. Results: At the end of the in-silico analyzes, it was determined that ccmH, PelB, traU, yohN, lolA, yhcN are the most reliable SPs, respectively, with highest score and best performing to express the IL-2 protein in E. coli.

Background: Intestinal flora dynamically affects the host's systemic immune system. Liver is one of the organs that may be affected by intestinal microbiota. Materials and Methods: In this study, we aimed to identify proteome level differences between liver tissue from mice cleared intestinal flora and control using tandem mass spectrometry (LC-MS/MS) and label free quantification. Additionally, protein-protein interactions were mapped by STRING, and also, the enrichment of inflammation-related signaling pathways and biological processes was identified using GO and IPA network system. RT-PCR and Western blot were used for validation of the proteomics findings. Results: Our study demonstrated that mice with cleared intestinal flora exhibited decreased sensitivity to Concanavalin A induced acute hepatitis. 324 Proteins in liver were differently expressed after intestinal flora clearance for one week while 210 proteins were differently expressed after intestinal flora clearance for two weeks. Furthermore, five of the identified proteins were validated by western blotting and further investigated by semi-quantitative RT-PCR. Conclusion: Our results showed that intestinal flora clearance in mice could reduce sensitivity to Concanavalin A induced liver injury and influence the expression of proteins in liver, which provides a clue for studying the relationship between gut bacteria and Concanavalin A induced hepatitis.

Background: L-glutaminase enzyme belongs to the family of hydrolases, those acting on carbon-nitrogen bonds other than peptide bonds, specifically in linear amides. Protein L-glutaminase, which converts amino acid glutamine to a glutamate residue, is useful as antileukemic agent, antiretroviral agent and a new food-processing enzyme. Objective: The sequences representing L-glutaminase from extremophiles were analyzed for different physico-chemical properties and to relate these observed differences to their extremophilic properties, phylogenetic tree construction and the evolutionary relationship among them. Methods: In this work, in silico analysis of amino acid sequences of extremophilic (thermophile, halophile and psychrophiles) proteins has been done. The physiochemical properties of these four groups of proteins for L-glutaminase also differ in number of amino acids, aliphatic index and grand average of hydropathicity (GRAVY). Result: The GRAVY was found to be significantly high in thermophilic (2.29 fold) and psychrophilic bacteria (3.3 fold) as compare to mesophilic bacteria. The amino acid Cys (C) was found to be statistically significant in mesophilic bacteria (approximately or more than 3 fold) as compared to the abundance of this amino acid in extremophilic bacteria. Conclusion: Multiple sequence alignment revealed the domain/motif for glutaminase that consists of Ser-74, Lys-77, Asn-126, Lys-268, and Ser-269, which is highly conserved in all microorganisms.

Background: Cancer therapy has been known as one of the most important challenges in the world. Various therapeutic methods such as cancer immunotherapy are used to eradicate tumor cells. Vaccines have an important role among different cancer immunotherapeutic approaches. In the field of vaccine production, bioinformatics approach is considered as a useful tool to design multi-epitope cancer vaccines, mainly for selecting immunodominant Cytotoxic T Lymphocytes (CTL) and Helper T Lymphocytes (HTL) epitopes. Objective: Generally, to design efficient multi-epitope cancer vaccines, Tumor-Specific Antigens (TSA) are targeted. In the context of DNA-based cancer vaccines, they contain genes that code tumor antigens and are delivered to host by different methods. Methods: In this study, the anti-apoptotic proteins (BCL2, BCL-X, survivin) that are over-expressed in different tumor cells were selected for CTL and HTL epitopes prediction through different servers such as RANKPEP, CTLpred, and BCPREDS. Results: Three regions from BCL2 and one region from BCL-X were selected as CTL epitopes and two segments from survivin were defined as HTL epitopes. In addition, β-defensin was used as a proper adjuvant to enhance vaccine efficacy. The aforesaid segments were joined together by appropriate linkers, and some important properties of designed vaccine such as antigenicity, allergenicity and physicochemical characteristics were determined by various bioinformatics servers. Conclusion: Based on the bioinformatics results, the physicochemical and immunological features showed that the designed vaccine construct can be used as an efficient cancer vaccine after its efficacy was confirmed by in vitro and in vivo immunological assays.

Background: Pseudostellaria heterophylla is an important tonic traditional Chinese medicine. However, the molecular changes in the herb from geo-authentic habitat and cultivated bases remain to be explored. Objective: The purpose of this research was to study differences in P. heterophylla from geo-authentic habitat and cultivated bases. Methods: High-throughput technologies of transcriptomic and proteomic were used to identify proteins. Isobaric Tags for Relative and Absolute Quantification (iTRAQ) MS/MS has been utilized to evaluate changes in P. heterophylla from geo-authentic habitat and cultivated bases. Results: In this study, a total of 3775 proteins were detected, and 140 differentially expressed proteins were found in P. heterophylla from geo-authentic habitat and cultivated bases. 44 significantly differential expressed proteins were identified based on functional analysis classified into nine categories. Five differentially expressed proteins were confirmed at the gene expression level by Quantitative realtime PCR. Catabolic metabolism, carbohydrate metabolism, and response to stress of oxidoreductases and transferases in P. heterophylla from geo-authentic habitat were stronger than in those from cultivated bases, but protein folding and response to stress of heat shock proteins, isomerases, rubisco large subunit-binding proteins, chaperone proteins, and luminal-binding proteins in herbs from cultivated bases were more active. ADG1 and TKTA could be the critical proteins to regulate sucrose; MFP2 and CYS may be the crucial proteins that control the metabolism of fatty acids and amino acids. Conclusion: These results will provide the basic information for exploring the differences in secondary metabolites in P. heterophylla from geo-authentic habitat and cultivated bases and the protein mechanism of its quality formation.

Background: Our present investigation was conducted to explore the computational algorithm for the protein secondary structure prediction as per the property of evolutionary transient and large number (each 50) of homologous mesophilic-thermophilic proteins. Objectives: These mesophilic-thermophilic proteins were used for numerical measurement of helix-sheetcoil and turn tendency for which each amino-acid residue is screened to build up the propensity-table. Methods: In the current study, two different propensity windows have been introduced that allowed predicting the secondary structure of protein more than 80% accuracy. Results: Using this propensity matrix and dynamic algorithm-based programme, a significant and decisive outcome in the determination of protein (both thermophilic and mesophilic) secondary structure was noticed over the previous algorithm based programme. It was demonstrated after comparison with other standard methods including DSSP adopted by PDB with the help of multiple comparisons ANOVA and Dunnett's t-test. Conclusion: The PSSD is of great importance in the prediction of structural features of any unknown, unresolved proteins. It is also useful in the studies of proteins structure-function relationship.