Biochemical changes during germination and seedling growth in Cuscuta campestris

Changes in the contents of starch, protein, DNA, RNA, total phosphorus, acid soluble phosphorus and inorganic phosphorus, and in the activities of some enzymes of carbohydrate, amino acid, nucleic acid and phosphate metabolism were studied during the germination of Cuscuta campestris seeds. The results are expressed on per seed basis.
Starch content in Cuscuta seeds showed a steady decline with most of it depleted by the end of the eighth day of germination. Protein content increased with germination up to 48 h and then decreased. RNA and DNA contents increased to a maximal level on the fourth day of germination and then decreased. Total phosphorus in the seeds remained almost unchanged during the period of study. Both trichloroacetic acid soluble and inorganic phosphorus increased until the third day and then decreased. Phytin was rapidly hydrolyzed with little being detectable by the seventh day of germination. Glucose-6-phosphate dehydrogenase increased with germination, while fructose bisphosphate aldolase which is indispensable for glycolysis, decreased with germination. Ribonuclease and deoxyribonuclease increased till the third and fourth day, respectively, and then decreased. Aspartate and alanine aminotransferases showed a maximum on the second day and then decreased. Activities of alkaline fructose-1,6-bisphosphatase and phytase were absent in the dry seeds and appeared only on the second day of germination. Both α- and β-amylase activities were present in the dry seed.     

Purification of thymidine kinase by affinity chromatography with an enzyme inhibitor as the ligand

An affinity column for the purification of thymidine kinase is described. The ligand in this column is a glycoprotein isolated from rat kidney. This glycoprotein inhibits phosphorylation of thymidine in cultured cells and in a cell-free assay system. With an affinity column containing the glycoprotein as a ligand, a 24-fold purification of thymidine kinase from an ammonium sulfate fraction of a crude tissue extract can be obtained. Thymidine kinase eluted from the affinity column migrates as one major band on polyacrylamide and as one diffuse major band on sodium dodecyl sulfate-polyacrylamide. The affinity column, with thymidine kinase bound to the inhibitor, can also be used as an assay system. When the glycoprotein is covalently attached to Sepharose, it retains its binding capacity for thymidine kinase but has apparently lost its ability to inhibit the enzyme. Thymidine kinase eluted from the affinity column is again sensitive to the glycoprotein. It seems to be a carbohydrate moiety of the glycoprotein that is responsible for the inhibition.     

Frequency of premolar teeth extractions for orthodontic treatment

It is of interest to evaluate the frequency of premolar extractions during orthodontic treatment in patients reporting to the Saveetha dental hospital in Chennai from 2019-2020. We used the records from 987 patients who underwent orthodontic treatment from June 2019 to March 2020 in a dental hospital for this analysis. Digital case records of patients who underwent therapeutic extractions of premolars were isolated. A sample dataset of 340 case records were selected for this study. Data shows that 34.4% of subjects underwent premolar extractions amongst a total of 987 subjects who underwent orthodontic treatment. 89.4% of patients were Angle''s Class I malocclusion patients, and the rest were Class II patients. However, no premolar extractions were done in Class III patients. Data also shows that 67.1% of subjects underwent all 4 first premolar extractions and 13.2% underwent only upper first premolar extractions. Thus, a significant association was found between Type of Malocclusion and the Type of premolar extractions with p < 0.05. Moreover, only 34.4% of patients underwent premolar extractions and the majority of them underwent all 4 first premolar extractions.     

Synthetic RNA Silencing of Actinorhodin Biosynthesis in Streptomyces coelicolor A3(2)

We demonstrate the first application of synthetic RNA gene silencers in Streptomyces coelicolor A3(2). Peptide nucleic acid and expressed antisense RNA silencers successfully inhibited actinorhodin production. Synthetic RNA silencing was target-specific and is a new tool for gene regulation and metabolic engineering studies in Streptomyces.     

Inhibition of hydrogen sulfide production by gene silencing attenuates inflammatory activity of LPS-activated RAW264.7 cells

Hydrogen sulfide is an inflammatory mediator and is produced by the activity of the enzyme cystathionine γ-lyase (CSE) in macrophages. Previously, pharmacological inhibition of CSE has been reported to have conflicting results, and this may be due to the lack of specificity of the pharmacological agents. Therefore, this study used a very specific approach of small interfering RNA (siRNA) to inhibit the production of the CSE in an in vitro setting. We found that the activation of macrophages by lipopolysaccharide (LPS) resulted in higher levels of CSE mRNA and protein as well as the increased production of proinflammatory cytokines and nitric oxide (NO). We successfully used siRNA to specifically reduce the levels of CSE mRNA and protein in activated macrophages. Furthermore, the levels of proinflammatory cytokines in LPS-activated macrophages were significantly lower in siRNA-transfected cells compared to those in untransfected controls. However, the production levels of NO by the transfected cells were higher, suggesting that CSE activity has an inhibitory effect on NO production. These findings suggest that the CSE enzyme has a crucial role in the activation of macrophages, and its activity has an inhibitory effect on NO production by these cells.     

A Simulation Optimization Approach to Epidemic Forecasting

Reliable forecasts of influenza can aid in the control of both seasonal and pandemic outbreaks. We introduce a simulation optimization (SIMOP) approach for forecasting the influenza epidemic curve. This study represents the final step of a project aimed at using a combination of simulation, classification, statistical and optimization techniques to forecast the epidemic curve and infer underlying model parameters during an influenza outbreak. The SIMOP procedure combines an individual-based model and the Nelder-Mead simplex optimization method. The method is used to forecast epidemics simulated over synthetic social networks representing Montgomery County in Virginia, Miami, Seattle and surrounding metropolitan regions. The results are presented for the first four weeks. Depending on the synthetic network, the peak time could be predicted within a 95% CI as early as seven weeks before the actual peak. The peak infected and total infected were also accurately forecasted for Montgomery County in Virginia within the forecasting period. Forecasting of the epidemic curve for both seasonal and pandemic influenza outbreaks is a complex problem, however this is a preliminary step and the results suggest that more can be achieved in this area.