Functional EF-Tu with large C-terminal extensions in an E coli strain with a precise deletion of both chromosomal tuf genes

An Escherichia coli strain was constructed in which both chromosomal genes encoding elongation factor (EF)-Tu (tufA and tufB) have been inactivated with precise coding sequence replacements. A tufA gene in an expression vector is supplied as the sole EF-Tu source. By using plasmid replacement, based on plasmid incompatibility, mutant EF-Tu variants with a large C'-terminal extension up to 270 amino acids were studied and proved to be functional in a strain lacking the chromosomal tufA and tufB genes.     

Representing genetic sequence data for pharmacogenomics: an evolutionary approach using ontological and relational models

MOTIVATION: The information model chosen to store biological data affects the types of queries possible, database performance, and difficulty in updating that information model. Genetic sequence data for pharmacogenetics studies can be complex, and the best information model to use may change over time. As experimental and analytical methods change, and as biological knowledge advances, the data storage requirements and types of queries needed may also change. RESULTS: We developed a model for genetic sequence and polymorphism data, and used XML Schema to specify the elements and attributes required for this model. We implemented this model as an ontology in a frame-based representation and as a relational model in a database system. We collected genetic data from two pharmacogenetics resequencing studies, and formulated queries useful for analysing these data. We compared the ontology and relational models in terms of query complexity, performance, and difficulty in changing the information model. Our results demonstrate benefits of evolving the schema for storing pharmacogenetics data: ontologies perform well in early design stages as the information model changes rapidly and simplify query formulation, while relational models offer improved query speed once the information model and types of queries needed stabilize.     

Trend of Cardio-Metabolic Risk Factors in Polycystic Ovary Syndrome: A Population-Based Prospective Cohort Study

Objective

To see the changes of cardio-metabolic risk factors overtime in polycystic ovary syndrome vs. control women.

Methods

This study was conducted on 637 participants (85 PCOS and 552 control reproductive aged, 18–45 years) of Tehran Lipid and Glucose Study (TLGS), an ongoing population-based cohort study with 12 years of follow-up. The cardiovascular risk factors of these groups were assessed in three-year intervals using standard questionnaires, history taking, anthropometric measures, and metabolic/endocrine evaluation. Generalized estimating equation was used to analyze the data.

Results

Overall mean of insulin (3.55, CI: 0.66–6.45), HOMA-IR (0.63, CI: 0.08–1.18), and HOMA-β (45.90, CI: 0.86–90.93) were significantly higher in PCOS than in healthy women after adjustment for age, BMI, and baseline levels. However, the negative interaction (follow-up years × PCOS status) of PCOS and normal women converged overtime. Comparing third follow-up with first, insulin and HOMA-IR decreased 10.6% and 5%, respectively in PCOS women; and increased 6.7% and 14.6%, respectively in controls (P<0.05). The results did not show any significant result for other cardio-metabolic variables including WC, lipid profile, FPG, 2-h PG, SBP, and DBP.

Conclusion

While the insulin level and insulin resistance rate were higher in reproductive aged PCOS than in healthy women, the difference of these risk factors decreased overtime. Thus, the metabolic consequences of PCOS women in later life may be lower than those initially anticipated.     

Risk of Gastric Cancer by Water Source: Evidence from the Golestan Case-Control Study

Background

Gastric cancer (GC) is the world’s fifth most common cancer, and the third leading cause of cancer-related death. Over 70% of incident cases and deaths occur in developing countries. We explored whether disparities in access to improved drinking water sources were associated with GC risk in the Golestan Gastric Cancer Case Control Study.

Methods and Findings

306 cases and 605 controls were matched on age, gender, and place of residence. We conducted unconditional logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CI), adjusted for age, gender, ethnicity, marital status, education, head of household education, place of birth and residence, homeownership, home size, wealth score, vegetable consumption, and H. pylori seropositivity. Fully-adjusted ORs were 0.23 (95% CI: 0.05–1.04) for chlorinated well water, 4.58 (95% CI: 2.07–10.16) for unchlorinated well water, 4.26 (95% CI: 1.81–10.04) for surface water, 1.11 (95% CI: 0.61–2.03) for water from cisterns, and 1.79 (95% CI: 1.20–2.69) for all unpiped sources, compared to in-home piped water. Comparing unchlorinated water to chlorinated water, we found over a two-fold increased GC risk (OR 2.37, 95% CI: 1.56–3.61).

Conclusions

Unpiped and unchlorinated drinking water sources, particularly wells and surface water, were significantly associated with the risk of GC.     

Proinflammatory cytokine gene polymorphisms in Behçet's disease

Beh?et's disease (BD) is a chronic, systemic disease, characterized by oral and genital lesions, and ocular inflammation. There is evidence indicating altered levels of proinflammatory cytokines, such as interleukin (IL)-6 and tumor necrosis factor alpha (TNF-α) in patients with BD. This study involved 150 patients with BD and 140 healthy controls, and investigated the role of proinflammatory cytokine gene polymorphisms in the disease. The frequency of the TNF-α (-238) G/G genotype was significantly higher in the patient group, compared to the controls (p < 0.001), whilst the G/A genotype was significantly lower in the patients with BD (p < 0.001). Patients with BD showed a significant increase in the TNF-α (- 308, - 238) GG haplotype (p < 0.001), whilst there was a significant decrease in the GA haplotype (p < 0.001). The heterozygous, IL-6 (- 174) C/G genotype (p = 0.005), and the IL-6 (- 174, nt565) haplotype CG (p < 0.001), were significantly decreased in the patient group. The increased production of proinflammatory cytokines in BD could be a consequence of specific, cytokine gene polymorphisms. Particular genotypes and haplotypes in TNF-α were over-represented in BD, which may, in turn, predispose individuals to this disease.     

Accumulation of multiple-repeat starch-binding domains (SBD2–SBD5) does not reduce amylose content of potato starch granules

This study investigates whether it is possible to produce an amylose-free potato starch by displacing the amylose enzyme, granule-bound starch synthase I (GBSSI), from the starch granule by engineered, high-affinity, multiple-repeat family 20 starch-binding domains (SBD2, SBD3, SBD4, and SBD5). The constructs were introduced in the amylose-containing potato cultivar (cv. Kardal), and the starches of the resulting transformants were compared with those of SBD2-expressing amylose-free (amf) potato clones. It is shown that a correctly sized protein accumulated in the starch granules of the various transformants. The amount of SBD accumulated in starch increased progressively from SBD to SBD3; however, it seemed as if less SBD4 and SBD5 was accumulated. A reduction in amylose content was not achieved in any of the transformants. However, it is shown that SBDn expression can affect physical processes underlying granule assembly, in both genetic potato backgrounds, without altering the primary structure of the constituent starch polymers and the granule melting temperature. Granule size distribution of the starches obtained from transgenic Kardal plants were similar to those from untransformed controls, irrespective of the amount of SBDn accumulated. In the amf background, granule size is severely affected. In both the Kardal and amf background, apparently normal oval-shaped starch granules were composed of multiple smaller ones, as evidenced from the many “Maltese crosses” within these granules. The results are discussed in terms of different binding modes of SBD.     

Fabricating tissues: Analysis of farming versus engineering strategies

Tissue Engineering has expanded rapidly towards target applications of tissue repair and regeneration, whilst generating surprisingly novel models to study tissue modelling. However, clinical success in producing effective engineered tissues such as bone, skin, cartilage, and tendon, have been rare and limited. Problems tend to focus on how to stimulate the replacement of initial scaffold with mechanically functional, native extracellular matrix (principally collagen). Typical approaches have been to develop perfused and mechanically active bioreactors, with the use of native collagen itself as the initial scaffold, though the idea remains that cells do the fabrication (i.e. a cultivation process). We have developed a new, engineering approach, in which the final collagen template is fabricatedwithout cell involvement. The first part of this biomimetic engineering involves a plastic compression of cellular native collagen gels to form dense, strong, collagenous neotissues (in minutes). Further steps can be used to orientate and increase collagen fibril diameter, again by non-cell dependent engineering. This allows operator control of cell or matrix density and material properties (influencing biological half life and fate). In addition, this (non-cultivation) approach can incorporate techniques to generate localised 3D structures and zones at a meso-scale. In conclusion, the use of biomimetic engineering based on native collagen, rather than cell-cultivation approaches for bulk matrix fabrication, produces huge benefits. These include speed of fabrication (minutes instead of weeks and months), possibility of fine control of composition and 3D nano-micro scale structure and biomimetic complexity.     

Functional insights from structural genomics

Structural genomics efforts have produced structural information, either directly or by modeling, for thousands of proteins over the past few years. While many of these proteins have known functions, a large percentage of them have not been characterized at the functional level. The structural information has provided valuable functional insights on some of these proteins, through careful structural analyses, serendipity, and structure-guided functional screening. Some of the success stories based on structures solved at the Northeast Structural Genomics Consortium (NESG) are reported here. These include a novel methyl salicylate esterase with important role in plant innate immunity, a novel RNA methyltransferase (H. influenzae yggJ (HI0303)), a novel spermidine/spermine N-acetyltransferase (B. subtilis PaiA), a novel methyltransferase or AdoMet binding protein (A. fulgidus AF_0241), an ATP:cob(I)alamin adenosyltransferase (B. subtilis YvqK), a novel carboxysome pore (E. coli EutN), a proline racemase homolog with a disrupted active site (B. melitensis BME11586), an FMN-dependent enzyme (S. pneumoniae SP_1951), and a 12-stranded β-barrel with a novel fold (V. parahaemolyticus VPA1032).     

Mapping the protein interaction network in methicillin-resistant Staphylococcus aureus

Mortality attributable to infection with methicillin-resistant Staphylococcus aureus (MRSA) has now overtaken the death rate for AIDS in the United States, and advances in research are urgently needed to address this challenge. We report the results of the systematic identification of protein-protein interactions for the hospital-acquired strain MRSA-252. Using a high-throughput pull-down strategy combined with quantitative proteomics to distinguish specific from nonspecific interactors, we identified 13,219 interactions involving 608 MRSA proteins. Consecutive analyses revealed that this protein interaction network (PIN) exhibits scale-free organization with the characteristic presence of highly connected hub proteins. When clinical and experimental antimicrobial targets were queried in the network, they were generally found to occupy peripheral positions in the PIN with relatively few interacting partners. In contrast, the hub proteins identified in this MRSA PIN that are essential for network integrity and stability have largely been overlooked as drug targets. Thus, this empirical MRSA-252 PIN provides a rich source for identifying critical proteins essential for network stability, many of which can be considered as prospective antimicrobial drug targets.