Optimizing recombinant production of L-asparaginase 1 from Saccharomyces cerevisiae using response surface methodology.

L-asparaginase is an essential enzyme used in cancer treatment, but its production faces challenges like low yield, high cost, and immunogenicity. Recombinant production is a promising method to overcome these limitations. In this study, response surface methodology (RSM) was used to optimize the production of L-asparaginase 1 from Saccharomyces cerevisiae in Escherichia coli K-12 BW25113. The Box-Behnken design (BBD) was utilized for the RSM modeling, and a total of 29 experiments were conducted. These experiments aimed to examine the impact of different factors, including the concentration of isopropyl-b-LD-thiogalactopyranoside (IPTG), the cell density prior to induction, the duration of induction, and the temperature, on the expression level of L-asparaginase 1. The results revealed that while the post-induction temperature, cell density at induction time, and post-induction time all had a significant influence on the response, the post-induction time exhibited the greatest effect. The optimized conditions (induction at cell density 0.8 with 0.7 mM IPTG for 4 h at 30 °C) resulted in a significant amount of L-asparaginase with a titer of 93.52 µg/mL, which was consistent with the model-based prediction. The study concluded that RSM optimization effectively increased the production of L-asparaginase 1 in E. coli, which could have the potential for large-scale fermentation. Further research can explore using other host cells, optimizing the fermentation process, and examining the effect of other variables to increase production.

Novel Metal-Organic Framework Nanoparticle for Letrozole Delivery: A New Advancement in Breast Cancer Treatment.

Water-stable metal-organic frameworks based on UIO-66@NH2 were synthesized to transport Letrozole into breast cancer cells. The UIO-66@NH2 nanoparticles had a spherical shape and triangular base pyramid morphology, with a size range of 100-200 nm. Fourier transform infrared spectroscopy confirmed the efficient adsorption of Letrozole on UIO-66@NH2. The drug release profile showed a gradual, pH-dependent release of Letrozole from the nanoparticles, with a significant increase in acidic environments, indicating the adaptable release potential of UIO-66@NH2@Let in the breast cancer microenvironment. The size and entrapment efficiency were more stable at 4 °C than at 25 °C. To evaluate the cytotoxic effects of UIO-66@NH2@Let, MTT assay, gene expression analysis, flow cytometry, reactive oxygen species generation, migration assay, and DAPI staining were performed. Moreover, according to IC50 results, the incorporation of Letrozole into UIO-66@NH2 significantly improved its anticancer activity. The results also showed that the developed formulations induced apoptosis through both intrinsic and extrinsic pathways and inhibited cancer progression. The efficacy of the formulations in inducing apoptosis was validated by DAPI staining microscopy and flow cytometry analysis. Therefore, the Letrozole-loaded UIO-66@NH2 MOFs developed in this study can be considered as a unique and sophisticated anticancer delivery nanosystem with promising in vitro anticancer properties.

Genome-scale metabolic model-based engineering of Escherichia coli enhances recombinant single-chain antibody fragment production.

PURPOSE: Escherichia coli is an attractive and cost-effective cell factory for producing recombinant proteins such as single-chain variable fragments (scFvs). AntiEpEX-scFv is a small antibody fragment that has received considerable attention for its ability to target the epithelial cell adhesion molecule (EpCAM), a cancer-associated biomarker of solid tumors. Due to its metabolic burden, scFv recombinant expression causes a remarkable decrease in the maximum specific growth rate of the scFv-producing strain. In the present study, a genome-scale metabolic model (GEM)-guided engineering strategy is proposed to identify gene targets for improved antiEpEX-scFv production in E. coli. METHODS: In this study, a genome-scale metabolic model of E. coli (iJO1366) and a metabolic modeling tool (FVSEOF) were employed to find appropriate genes to be amplified in order to improve the strain for incresed production of antiEpEX-scFv. To validate the model predictions, one target gene was overexpressed in the parent strain Escherichia coli BW25113 (DE3). RESULTS: For improving scFv production, we applied the FVSEOF method to identify a number of potential genetic engineering targets. These targets were found to be localized in the glucose uptake system and pentose phosphate pathway. From the predicted targets, the glk gene encoding glucokinase was chosen to be overexpressed in the parent strain Escherichia coli BW25113 (DE3). By overexpressing glk, the growth capacity of the recombinant E. coli strain was recovered. Moreover, the engineered strain with glk overexpression successfully led to increased scFv production. CONCLUSION: The genome-scale metabolic modeling can be considered for the improvement of the production of other recombinant proteins.

Uncovering the stability status of the reputed reference genes in breast and hepatic cancer cell lines.

Accurate and reliable relative gene expression analysis via the Reverse Transcription-quantitative Real Time PCR (RT-qPCR) method strongly depends on employing several stable reference genes as normalizers. Utilization of the reference genes without analyzing their expression stability under each experimental condition causes RT-qPCR analysis error as well as false output. Similar to cancerous tissues, cancer cell lines also exhibit various gene expression profiles. It is crucial to recognize stable reference genes for well-known cancer cell lines to minimize RT-qPCR analysis error. In this study, we showed the expression level and investigated the expression stability of eight common reference genes that are ACTB, YWHAZ, HPRT1, RNA18S, TBP, GAPDH, UBC, and B2M, in two sets of cancerous cell lines. One set contains MCF7, SKBR3, and MDA-MB231 as breast cancer cell lines. Another set includes three hepatic cancer cell lines, including Huh7, HepG2, and PLC-PRF5. Three excel-based softwares comprising geNorm, BestKeeper, and NormFinder, and an online tool, namely RefFinder were used for stability analysis. Although all four algorithms did not show the same stability ranking of nominee genes, the overall results showed B2M and ACTB as the least stable reference genes for the studied breast cancer cell lines. While TBP had the lowest expression stability in the three hepatic cancer cell lines. Moreover, YWHAZ, UBC, and GAPDH showed the highest stability in breast cancer cell lines. Besides that, a panel of five nominees, including ACTB, HPRT1, UBC, YWHAZ, and B2M showed higher stability than others in hepatic cancer cell lines. We believe that our results would help researchers to find and to select the best combination of the reference genes for their own experiments involving the studied breast and hepatic cancer cell lines. To further analyze the reference genes stability for each experimental condition, we suggest researchers to consider the provided stability ranking emphasizing the unstable reference genes.

RSM-based Model to Predict Optimum Fermentation Conditions for Soluble Expression of the Antibody Fragment Derived from 4D5MOC-B Humanized Mab in SHuffle™ T7 E. coli.

Overexpression of the EpCAM in epithelial-derived neoplasms makes this receptor a promising target in antibody-based therapy. Due to the lack of N-glycosylation, Escherichia coli (E. coli) seems to be the most appropriate choice for the expression of antibody fragments. However, developing a robust and cost-effective process that produces consistent therapeutic proteins from inclusion bodies is a major challenge. Undoubtedly, it can be circumvented by the soluble expression of these proteins. Utilization of numerous genetically modified hosts and optimization of cultivation conditions are two effective approaches widely used to overcome the insolubility problem. Due to the cytoplasmic expression of DsbC and the ability to the correct formation of disulfide bonds, the Shuffle™ T7 strain can be a suitable host for the soluble production of recombinant proteins. Here, Box-Behnken design (BBD)- Response surface methodology (RSM) modeling was employed to develop optimized culture conditions for 4D5MOC-B scFv fragment production in SHuffle™ T7 strain while solubility and production level were considered as responses. Although both responses were significantly influenced by post-induction temperature, cell density at induction time, and IPTG concentration, the temperature had the largest effect. The maximum experimental soluble protein obtained by adding 1 mM of IPTG into the M9 medium when the cell density reached 0.7 at 23 ᵒC was 693.56 µg/mL which was in good correlation with the predicted value of 720.742 µg/mL. Predictable total expression value was also experimentally verified. This strategy can be scaled-up for the production of large amounts of scFvs from SHuffle™ T7 E. coli to facilitate their potential applications as therapeutic and diagnostic agents.

Statistical optimization of culture conditions for expression of recombinant humanized anti-EpCAM single-chain antibody using response surface methodology.

BACKGROUND AND PURPOSE: The epithelial cell adhesion molecule (EpCAM), is one of the first cancer- associated markers discovered. Its overexpression in cancer stem cells, epithelial tumors, and circulating tumor cells makes this molecule interesting for targeted cancer therapy. So, in recent years scFv fragments have been developed for EpCAM targeting. EXPERIMENTAL APPROACH: In this study, an scFv against EpCAM extracellular domain (EpEX) derived from 4D5MOC-B humanized mAb was expressed in Escherichia coli k12 strain, and in order to obtain the optimum culture conditions in chemically defined minimal medium, response surface methodology (RSM) was employed. According to the RSM-CCD method, a total of 30 experiments were designed to investigate the effects of various parameters including isopropyl-b-D-thiogalactopyranoside (IPTG) concentration, cell density before induction, post-induction time, and post-induction temperature on anti EpEX-scFv expression level. FINDINGS/RESULTS: At the optimum conditions (induction at cell density 0.8 with 0.8 mM IPTG for 24 h at 37 °C), the recombinant anti EpEX-scFv was produced at a titer of 197.33 µg/mL that was significantly consistent with the prediction of the model. CONCLUSION AND IMPLICATION: The optimized-culture conditions obtained here for efficient production of anti EpEX-scFv in shake flask cultivation on a chemically defined minimal medium could be applied to large- scale fermentation for the anti EpEX-scFv production.

RAB5A effect on metastasis of hepatocellular carcinoma cell line via altering the pro-invasive content of exosomes.

Tumor microenvironment exerts a critical role in cancer progression and metastasis. Exosomes, cell-cell communicators and major players of the tumor microenvironment are considered as a serious mediator of cancer metastasis. Here, we determined the effect of RAB5A gene on the hepatocellular carcinoma (HCC) cells particularly whether RAB5A could affect HCC metastasis via regulating the pro-invasive content of exosomes. In response to RAB5A knockdown, we analyzed the proliferation rate and migration capability of HCC cells. Then, we estimated changes in the total protein composition of exosomes via analyzing the expression of exosomal markers, CD63 and Alix. Thereafter, alterations of the pro-invasive content of exosomes were functionally evaluated using matrigel invasion assay. Our results revealed that knockdown of RAB5A could decrease HCC cell proliferation rate and migration capability significantly. Moreover, no significant changes in the expression of exosomal CD63 and Alix reflected that no differences might be occurred in protein composition of RAB5A knockdown cell-derived exosomes. Matrigel invasion assay functionally showed that exosomes-derived from RAB5A knockdown cells still had pro-invasive properties and their pro-invasive content was not affected in response to RAB5A knockdown. In conclusion, we believe that our results propose a new explanation about RAB5A and metastatic potentials of exosomes-derived from HCC cells.

Solubility assessment of single-chain antibody fragment against epithelial cell adhesion molecule extracellular domain in four Escherichia coli strains.

BACKGROUND: Overexpression of the EpCAM (epithelial cell adhesion molecule) in malignancies makes it an attractive target for passive immunotherapy in a wide range of carcinomas. In comparison with full-length antibodies, due to the small size, the scFvs (single-chain variable fragments) are more suitable for recombinant expression in E. coli (Escherichia coli). However, the proteins expressed in large amounts in E. coli tend to form inclusion bodies that need to be refolded which may result in poor recovery of bioactive proteins. Various engineered strains were shown to be able to alleviate the insolubility problem. Here, we studied the impact of four E. coli strains on the soluble level of anti-EpEX-scFv (anti-EpCAM extracellular domain-scFv) protein. RESULTS: Although results showed that the amount of soluble anti-EpEX-scFv obtained in BL21TM (DE3) (114.22 ± 3.47 mg/L) was significantly higher to those produced in the same condition in E. coli RosettaTM (DE3) (71.39 ± 0.31 mg/L), and OrigamiTM T7 (58.99 ± 0.44 mg/L) strains, it was not significantly different from that produced by E. coli SHuffleTM T7 (108.87 ± 2.71 mg/L). Furthermore, the highest volumetric productivity of protein reached 318.29 ± 26.38 mg/L in BL21TM (DE3). CONCLUSIONS: Although BL21TM (DE3) can be a suitable strain for high-level production of anti-EpEX-scFv protein, due to higher solubility yield (about 55%), E. coli SHuffleTM T7 seems to be better candidate for soluble production of scfv compared to BL21TM (DE3) (solubility yield of about 30%).

Validation of common reference genes stability in exosomal mRNA-isolated from liver and breast cancer cell lines.

Accurate relative gene expression analysis by reverse transcription-quantitative polymerase chain reaction relies on the usage of suitable reference genes for data normalization. The RNA content of small extracellular vesicles including exosomes is growingly considered as cancer biomarkers. So, reliable relative quantification of exosomal messenger RNA (mRNA) is essential for cancer diagnosis and prognosis applications. However, suitable reference genes for accurate normalization of a target gene in exosomes derived from cancer cells are not depicted yet. Here, we analyzed the expression and stability of eight well-known reference genes namely GAPDH, B2M, HPRT1, ACTB, YWHAZ, UBC, RNA18S, and TBP in exosomes-isolated from the liver (Huh7, HepG2, PLC/PRF/5) and breast (SK-BR-3) cancer cell lines using five different algorithms including geNorm, BestKeeper, Delta Ct, NormFinder, and RefFinder. Our results showed that ACTB, TBP, and HPRT1 were not expressed in exosomes-isolated from studied liver and breast cancer cell lines. The geNorm and BestKeeper algorithms indicated GAPDH and UBC as the most stable candidates. Moreover, Delta Ct and NormFinder algorithms showed YWHAZ as the most stable reference genes. Comprehensive ranking calculated by the RefFinder algorithm also pointed out GAPDH, YWHAZ, and UBC as the first three stable reference genes. Taken together, this study validated the common reference genes stability in exosomal mRNA derived from liver and breast cancer cell lines for the first time. We believe that this study would be the first step in finding more stable reference genes in exosomes that triggers more accurate detection of exosomal biomarkers.

RAB5A is associated with genes involved in exosome secretion: Integration of bioinformatics analysis and experimental validation.

Exosomes, as cell-cell communicators with an endosomal origin, are involved in the progression of various diseases. RAB5A, a member of the small Rab GTPases family, which is well known as a key regulator of cellular endocytosis, is expected to be involved in exosome secretion. Here, we found the impact of RAB5A on exosome secretion from human hepatocellular carcinoma cell line using a rapid yet reliable bioinformatics approach followed by experimental analysis. Initially, RAB5A and exosome secretion-related genes were gathered from bioinformatics tools, namely, CTD, COREMINE, and GeneMANIA; and published papers. Protein-protein interaction (PPI) was then constructed by the Search Tool for Retrieval of Interacting Genes (STRING) database. Among them, several genes with different combined scores were validated by the real-time quantitative polymerase chain reaction (RT-qPCR) in stable RAB5A knockdown cells. Thereafter, to validate the bioinformatics results functionally, the impact of RAB5A knockdown on exosome secretion was evaluated. Bioinformatics analysis showed that RAB5A interacts with 37 genes involved in exosome secretion regulatory pathways. Validation by RT-qPCR confirmed the association of RAB5A with candidate interacted genes and interestingly showed that even medium to low combined scores of the STRING database could be experimentally valid. Moreover, the functional analysis demonstrated that the stable silencing of RAB5A could experimentally decrease exosome secretion. In conclusion, we suggest RAB5A as a regulator of exosome secretion based on our bioinformatics approach and experimental analysis. Also, we propose the usage of PPI-derived from the STRING database regardless of their combined scores in advanced bioinformatics analysis.

Functional roles of exosomal miRNAs in multi-drug resistance in cancer chemotherapeutics.

Recent understanding of different molecular aspects of tumor initiation and progression has led to the discovery of a growing list of drugs. While these drugs have shown promising effects on tumor cells, their widespread usage has been hampered by the acquisition of drug resistance in a subpopulation of tumor cells. A differential pattern in the secretion of specialized vesicles named "exosomes" in drug-resistant cancer cells have recently received much attention. In addition, microRNAs (miRNAs) have been shown to be enriched in exosomes. Exosomal miRNAs (also known as exo-miRs) could be shuttled to recipient cells and play a role in the regulation of post-transcriptional gene expression, which may exert certain effects on cancer drug resistance. Here, we have reviewed the role of exo-miRs in chemotherapeutic resistance in different cancer types. Besides, studies which have focused on predictive role of circulating exo-miRs in cancer drug resistance are reviewed.

MicroRNA: Promising Roles in Cancer Therapy.

MicroRNAs (miRNA) are small non-coding RNAs that act as one of the main regulators of gene expression. They are involved in maintaining a proper balance of diverse processes, including differentiation, proliferation, and cell death in normal cells. Cancer biology can also be affected by these molecules by modulating the expression of oncogenes or tumor suppressor genes. Thus, miRNA based anticancer therapy is currently being developed either alone or in combination with chemotherapy agents used in cancer management, aiming at promoting tumor regression and increasing cure rate. Access to large quantities of RNA agents can facilitate RNA research and development. In addition to currently used in vitro methods, fermentation-based approaches have recently been developed, which can cost-effectively produce biological RNA agents with proper folding needed for the development of RNA-based therapeutics. Nevertheless, a major challenge in translating preclinical studies to clinical for miRNA-based cancer therapy is the efficient delivery of these agents to target cells. Targeting miRNAs/anti-miRNAs using antibodies and/or peptides can minimize cellular and systemic toxicity. Here, we provide a brief review of miRNA in the following aspects: biogenesis and mechanism of action of miRNAs, the role of miRNAs in cancer as tumor suppressors or oncogenes, the potential of using miRNAs as novel and promising therapeutics, miRNA-mediated chemo-sensitization, and currently utilized methods for the in vitro and in vivo production of RNA agents. Finally, an update on the viral and non-viral delivery systems is addressed.

Comparative analysis of two HIV-1 multiepitope polypeptides for stimulation of immune responses in BALB/c mice.

A licensed vaccine against human immunodeficiency virus-1 (HIV-1) infection has not become available up to now. Hence, it is more rational to use immune-informatics tools for prediction of T cell epitopes (in silico study) and development of an effective epitope-driven vaccine against hypervariable pathogens. Multiepitope vaccines were considered as the next generation of an effective vaccine against HIV-1 infection. In the current study, we developed two different constructs encoding T cell epitopes derived from Nef, Vif, Vpu, Gp160 and P24 proteins in BALB/c mice. To overcome their poor immunogenicity, four different cell penetrating peptides (MPG and HR9 for DNA delivery, and CyLoP-1 and LDP-NLS for protein delivery), Montanide adjuvant, and heterologous prime-boost immunization strategy were utilized. The generation of cytokines, Granzyme B, and total IgG and its subclasses was determined using ELISA. Our data indicated that the levels of IFN-γ and Granzyme B in mice injected with Nef-Vif-Gp160-P24 multiepitope constructs were higher than those immunized with Nef-Vpu-Gp160-P24 multiepitope constructs. Moreover, the heterologous DNA priming/ multiepitope peptide boosting in both Nef-Vif-Gp160-P24 and Nef-Vpu-Gp160-P24 regimens induced significantly high antigen-specific IgG2a and IgG2b responses in comparison with other groups. There was no significant difference between MPG and HR9 as well as CyLoP-1 and LDP-NLS as a delivery system for enhancement of immune responses. Generally, the heterologous DNA prime/ multiepitope peptide boost modalities for both constructs could significantly enhance the levels of IgG2a, IgG2b, IFN-γ, and Granzyme B directed toward Th1 immune responses as compared to homologous prime/ boost with DNA or polypeptide constructs.

Cell-free extracts of Lactobacillus acidophilus and Lactobacillus delbrueckii display antiproliferative and antioxidant activities against HT-29 cell line.

Many beneficial effects of probiotic Lactobacilli on cancer prevention and therapy were previously presented. So finding probiotics with proapoptotic activities is a promising approach for cancer drug discovery. Here, the antiproliferative and antioxidant activities of cell-free extracts of Lactobacillus acidophilus and Lactobacillus delbrueckii on HT-29 cell line were evaluated employing MTT and DPPH assays. The induction of apoptosis was assessed by Hoechst staining and flow cytometry analysis which was further confirmed by expression analysis of BCL-2, BAX, caspase-3, caspase-8, and caspase-9 genes using real-time quantitative PCR. Caspase-3 activity was also analyzed. Results showed that cell viability was significantly reduced to 42.2 ± 0.01% and 19.40 ± 0.01% by 5 and 8 mg ml-1 of L. acidophilus and L. delbrueckii extracts, respectively. Apoptosis induction was shown with both bacterial extracts. Caspase-9 and caspase-3 overexpression as well as Bax/Bcl-2 ratio increase revealed the ability of both probiotics to induce intrinsic pathway-dependent apoptosis. The extrinsic pathway was also activated by L. acidophilus. At the concentration of 198 µg ml-1, L. acidophilus and L. delbrueckii had a DPPH scavenging activity of 59.37 ± 3.97% and 71.19 ± 3.64%, respectively. Taken together, these findings provide evidence for antiproliferative, proapoptotic, and antioxidant effects driven by these probiotic lactic acid bacteria (LAB) strains.

Efficient expression of EpEX in the cytoplasm of Escherichia coli using thioredoxin fusion protein.

Recombinant epithelial cell adhesion molecule extracellular domain (EpEX) has a high potential as a candidate for passive and active immunotherapy as well as cancer vaccination. In the present study, EpEX was expressed as a thioredoxin fusion protein in Escherichia coli (E. coli). The effect of different hosts and expression conditions on the expression level of the fusion protein was also evaluated. Moreover, the effect of temperature and isopropyl-ß-d-thiogalactopyranoside (IPTG) concentration on protein solubility was assessed. The codon optimized-synthetic gene was cloned into pET32a (+) expression vector and transformed into E. coli BL21 (DE3), Rosetta™ (DE3), and Origami™ (DE3). The protein expression was confirmed using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and western blotting. Lowering the expression temperature to 16 °C and IPTG concentration to 0.5 mM also dramatically increased the volumetric productivity of the fusion protein. In optimum culture condition, high-level expression of the target fusion protein was detected in Rosetta™ (DE3) and Origami™ (DE3) (207 and 334 µg/mL, respectively), though they were expressed as inclusion bodies. No improvement was observed in the solubility of the fusion protein by reducing the temperature or IPTG concentration even when expressed in a TrxB/gor mutant strain. Results showed that Trx tag combined with other strategies utilized here could be effective to achieve high level of protein production but not effective in solubility improvement. However, new approaches might be necessary to enhance the solubility of EpEX in the E. coli system.

ExomiRs: A Novel Strategy in Cancer Diagnosis and Therapy.

Exosomes play a critical role in intercellular communication between cancer cells and their environments. These secreted nanovesicles can transfer different cargos such as mRNAs, proteins and microRNA (miRNA) to recipient cells. Exosomal miRNAs (exomiRs) derived from tumor cells have emerged as key players in cancer promotion via impairment of the immune system response, tumor growth, metastasis, angiogenesis, and chemotherapeutic drug resistance. Moreover, since dysregulation of miRNA expression in tumor cells can be reflected by distinct profiles of exomiRs extracted from the bodily fluids of cancer patients, they can be considered as non-invasive diagnostic, prognostic and predictive biomarkers. Additionally, due to the critical roles of exomiRs in cancer promotion, targeting of various aspects of exosome biogenesis, miRNA sorting or loading has been suggested as a novel approach for cancer therapy. Firstly, this review aims to describe the biosynthesis and trafficking of exosomes as well as their isolation, characterization and content. Next, the recent advances on the role of exomiRs in cancer promotion as well as the application of exomiR as a cancer biomarker and therapeutic target are reviewed.

CRISPR-cas System as a Genome Engineering Platform: Applications in Biomedicine and Biotechnology.

Genome editing mediated by Clustered Regularly Interspaced Palindromic Repeats (CRISPR) and its associated proteins (Cas) has recently been considered to be used as efficient, rapid and site-specific tool in the modification of endogenous genes in biomedically important cell types and whole organisms. It has become a predictable and precise method of choice for genome engineering by specifying a 20-nt targeting sequence within its guide RNA. Firstly, this review aims to describe the biology of CRISPR system. Next, the applications of CRISPR-Cas9 in various ways, such as efficient generation of a wide variety of biomedically important cellular models as well as those of animals, modifying epigenomes, conducting genome-wide screens, gene therapy, labelling specific genomic loci in living cells, metabolic engineering of yeast and bacteria and endogenous gene expression regulation by an altered version of this system were reviewed.

Multiple-locus variable-number tandem-repeat analysis in Salmonella isolates as an effective molecular subtyping method.

Due to the limitations of serotyping, to differentiate closely related microbial isolates and to investigate disease outbreaks, molecular genotyping methods including multiple loci variable number of tandem repeats (VNTR) analysis (MLVA) has been developed. The usefulness of MLVA was recently demonstrated for Salmonella Infantis and Salmonella Enteritidis isolated from human sources in Iran. In the present study. The discriminatory ability of this method was investigated in 78 Iranian Salmonella enterica isolates. Salmonella strains isolated from human urine, stool, bone marrow, blood, ascites and synovial fluid sources in Iran during the years 2012 and 2015 were analyzed. Among these 78 Salmonella isolates, 70 isolates belonging to eight serotypes/serogroups, while eight were nontypeable. Six VNTR loci were amplified from all isolates. The isolates were distributed into 67 genotypes. Two out of the 6 markers (Sal20 and Sal16) were highly discriminatory for all strains (DI > 0.80) while composition of all VNTR loci produced 67 different types with 0.995 D value. The high discrimination power of MLVA in Salmonella molecular typing via combination of VNTR loci studied here, suggesting that this method is highly valuable for molecular epidemiology of Salmonella strains.

Breast cancer immunotherapy: monoclonal antibodies and peptide-based vaccines.

Recently, immunotherapy has emerged as a treatment strategy in the adjuvant setting of breast cancer. In this review, monoclonal antibodies in passive and peptide-based vaccines, as one of the most commonly studied in active immunotherapy approaches, are discussed. Trastuzumab, a monoclonal antibody against HER-2/neu, has demonstrated considerable efficacy. However, resistance to trastuzumab has led to development of many targeted therapies which have been examined in clinical trials. Monoclonal antibodies against immune-checkpoint molecules that are dysregulated by tumors as an immune resistance mechanism are also explained in this review. Additionally, monoclonal antibodies with the ability to target breast cancer stem cells that play a role in cancer recurrence are mentioned. Here, clinical trials of HER-2/neu B and T cells, MUC1 and hTERT cancer peptide vaccines are also presented. In addition, various strategies for enhancing vaccine efficacy including combination with monoclonal antibodies and using different delivery systems for peptide/protein-based vaccine are described.