JOURNAL OF ADVANCES IN BIOTECHNOLOGY 2019-05-31T03:56:58+00:00 Gurdev Singh Open Journal Systems Interested in submitting to this journal? We recommend that you review the About the Journal page for the journal's section policies, as well as the Author Guidelines. Authors need to register with the journal prior to submitting or, if already registered, can simply log in and begin the five-step process. Micropropagation and ex situ conservation of Silene fabaria (L.) Sm. in Sibth. & Sm. subsp. domokina Greuter (Caryophyllaceae); an important endemic plant in Greece with medicinal and ornamental value 2019-04-10T07:49:47+00:00 Virginia Sarropoulou Eleni Maloupa <p><em>Silene</em> species (Caryophyllaceae) are sources of important secondary metabolites with extensive use in traditional medicine and potential applications as ornamentals. The present study was conducted to assess the regeneration potential of <em>Silene fabaria</em> subsp. <em>domokina </em>to produce massive clonal <em>in vitro</em> plants. Two experiments were conducted. The basal culture medium used was the MS. In the first experiment, the effect of 3 cytokinins; BA, KIN and 2-ip applied alone and in combination with 3 auxins; IBA, NAA and IAA was studied. In the second experiment, the effect of 3 auxins; IBA, NAA and IAA, each applied in 3 different concentrations (0.1, 0.25 and 0.5 mg/l) was studied. Shoot proliferation 100%, highest shoot proliferation rate (4.83) and shoot number (3.67) were achieved with 0.25 mg/l BA and 0.1 mg/l IAA (5 weeks). IAA at 0.5 mg/l was the most effective in stimulating shoot elongation (80.63 mm). Rooting 100% was obtained with 0.1 mg/l IBA yielding 7.3 roots 22.91 mm long (4 weeks). <em>In vitro</em> plants were successfully acclimatized with 92.31% survival rate. This study is the first micropropagation report of <em>S. fabaria</em> subsp. <em>domokina</em> that could be exploited for rapid, large-scale production and future germplasm maintenance of this valuable prioritized species-subspecies.</p> 2019-02-28T00:00:00+00:00 ##submission.copyrightStatement## Therapeutic effectiveness of Hydroxyapatite Nanoparticles and Pulsed Electromagnetic Field in Osteoporosis and Cancer 2019-04-10T07:49:47+00:00 Divya Prakash Shikha S Chauhan Jitendra Behari <p>The emergence of nanotechnology has had a profound effect on many areas of healthcare and scientific research. Several studies reported the importance Hydroxyapetite Nanoparticles in the biomedical field in general, and in emerging areas such as implants, drug delivery, cancer, composites, coatings, and ceramic materials in particular. On the other hand, low level Pulsed electromagnetic field (PEMF) therapy presents several potential advantages including non-invasiveness, safety, highly influential in the fracture repair process, lack of toxicity for non-cancerous cells, and the possibility of being combined with other available therapies. It has also been observed that the combined effect of these two can accelerate the osteognic and anticancer activity in the osteoporotic and carcinoma cell lines respectively. The objective of this review is to provide a broad recount of the applications of PEMFs and Hydroxyapatite nanoparticles in osteoporosis and cancer and to then demonstrate what is further required for enhanced therapeutic outcomes.</p> 2019-02-28T00:00:00+00:00 ##submission.copyrightStatement## Extraction and Purification of Antimicrobial Proteins from Datura Stramonium Seed 2019-05-30T09:51:11+00:00 Surayya Mustapha Muhammad Ibrahim A. Sabo Ahmed Mohammed Gumel Fatima I, Alkali <p>Resistant to antibiotics by microbes have become a major global challenge incurring economic and public health burden. Hence, research to develop new effective anti-biotics should be a major consideration to pharmaceutical industries, scientific researchers, Amanda ‘scientific researchers and world health organizations at large. This study is conducted to investigate the antimicrobial property of proteins present in the seeds of Datura stramonium. The extraction was carried out using Tris-HCL buffer prepared from 50M Tris and 0.3M NaCL, the proteins were isolated using ammonium sulphate precipitation to obtain 80% fraction. The isolated and extracted proteins sample were subjected to dialysis in which all the salt was removed and then purified using Ion-exchange chromatography. Acidic and basic fractions of the proteins obtained were subjected to SDS-PAGE electrophoresis to visualize their different molecular weight. More protein band was observed in the basic fraction between 9-45kDa. Antibacterial activities of both acidic and basic proteins were carried out using the paper disc diffusion method against clinical bacterial isolates of E. coli and Klebsiella pneumoniae. More activity was observed in basic protein with a diameter 8mm compared to the acidic fraction of 7mm in diameter.&nbsp;</p> 2019-04-17T04:55:45+00:00 ##submission.copyrightStatement## Graphic Model-based Gene Regulatory Network Reconstruction using RNA Sequencing Count Data 2019-05-31T03:56:58+00:00 Liliana Lopez-Kleine Cristian Andres Gonzalez-Prieto <p>Interactions between genes, such as regulations are best represented by gene regulatory networks (GRN). These are often constructed based on gene expression data. Few methods for the construction of GRN exist for RNA sequencing count data. One of the most used methods for microarray data is based on graphical Gaussian networks. Considering that count data have different distributions, a method assuming RNA sequencing counts distribute Poisson has been proposed recently. Nevertheless, it has been argued that the most likely distribution of RNA sequencing counts is not Poisson due to overdispersion. Therefore, the negative binomial distribution is much more likely. For this distribution, no model-based method for the construction of GRN has been proposed until now. Here, we present a graphical, model-based method for the construction of GRN assuming a negative binomial distribution of the RNA sequencing count data. The R code is available under request. We used the method proposed both on simulated RNA sequencing count data and on real data. The graph is showed, and its descriptive measurements were assessed. They were found some interesting biological conclusions. We confirm that using negative binomial distribution for fitting the model is suitable because RNA sequencing data present overdispersion.</p> 2019-05-30T06:08:37+00:00 ##submission.copyrightStatement##