278 research outputs found

    Effects of different fruit juices used as carbon source on cucumber seedling under in-vitro cultures

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    In this study, the effect of various commercial fruit juices (used as plant carbon source) was assessed on cucumber (Cucumis sativus L.) cv. Liza at seedling stage under aseptic conditions. Seeds were germinated on Β½MS medium (within 2-days) under dark conditions. They were sub-cultured on MS0 (MS basal salts) medium and its derivatives [MS, supplemented with fruit juices in place of sucrose (3%) such as, MS1 (orange), MS2 (apple), MS3 (red grapes) and MS4 (strawberry)] for six weeks. Maximum seedling growth was observed in MS1 and MS3 cultures (p > 0.05). Significant increase in proline and reducing sugars was measured in MS2 and MS4 in comparison to MS0 (control) culture. Abundance of chlorophyll contents (Chl a, b and ab) and total carotenoids including its precursor (lycopene) was also found in MS1 medium. Both orange and grapes supplied cultures were most effective in relation to all growth related parameters.Key words: Cucumis sativus L., seedling growth, proline contents, total carotenoids, lycopenes

    Reducing care home falls: a real-world data validation of a multifactorial falls-intervention digital application

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    Background One in three adults over the age of 65 and one in two adults over the age of 80 will experience a fall a year. Falls account for a considerable cost burden for the National Health Services. Preventing falls in elderly care homes is a significant public health policy goal in the United Kingdom. The 2004 National Institute for Health and Care Excellence Clinical Guideline (CG21) recommends risk detection and multifactorial fall prevention interventions. Digital technology allows individualised monitoring and interventions. However, there is no certainty of the impact of multifactorial interventions on the rate of falls. Methods A mixed methods Real-World Validation incorporating a retrospective multi-centre case–control study using real-world data and qualitative study to assess the effectiveness of a falls prevention application in 32 care homes in the Northwest of England. The study aims to assess if a multifactorial fall-prevention digital App reduces falls and injurious falls in care homes. The primary outcome measures were the rate of patient falls per 1000 occupied bed days in care homes for 12Β months. A digital multifactorial risk assessment and a tailored fall prevention plan linking each risk factor with the appropriate preventive interventions were implemented/reviewed monthly. For the intervention group two datasets were used. The first set was data recorded in the App on falls and resulting injury levels, multifactorial risk assessments, andΒ number of falls. Sociodemographic variables (gender and age) of care homes residents were also collected for this group. Data for the first twelve months of use of the intervention were collected for early adopter intervention homes. Less than twelve months data was obtainable from care home adopting the intervention later in the study. The second dataset was constituted by intervention and comparable control anonymised data extracted from the care home residents' registries from Borough 1 Council and Borough 2 Clinical Commissioning Group, including quantitative data on the number of falls, number of injurious falls, and outcomes, with emergency room and hospital records for Borough 2. For the qualitative study, twelve video interviews conducted by Safe Steps were analysed thematically to identify user perceptions of various aspects of the App including need, development, implementation, use and benefits. Results The secondary outcome was the rate of injurious falls per 1000 occupied bed days. There were 2.23 fewer falls per 1000 occupied bed days in the Intervention group (M = 6.46, SD = 3.65) compared with Control (M = 8.69, SD = 6.38) (t(2.67) = -2.686, p  = 0.008). The intervention had 3.5 fewer low harm injurious falls ratio per 1000 occupied bed days (M = 3.14, SD = 4.08) (M = 6.64, SD = 6.22) (t(144) = -3588, p< 0.01). There were significant differences between Intervention and Control on injurious falls resulting in ambulance calls (t(31.18) = -3.09, p = 0.04); and patients arriving at Accident & Emergency (t(17.25) = -3.71, p= 0.002).Thematic analysis of the video interviews identified the following six themes: Alleviation of staff workload; the impact of falls on both the individual and on the health care system; achievement of health outcome benefits, including reduced hospital visits for falls and improved quality of life for the patients living in care homes; the improvement over paper-based risk assessments for staff; the uniqueness of the person-centred approach of the App; and the ability of the approach to track patients across boundaries in the health and social care system. Conclusions In this real-world validation, the implementation of a multifactorial fall-prevention digital app was associated with a significant reduction in falls and injurious falls, and was perceived to be highly beneficial by care home residents, staff, management and care commissioners where the approach was implemented

    Analysis of Stochastic Strategies in Bacterial Competence: A Master Equation Approach

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    Competence is a transiently differentiated state that certain bacterial cells reach when faced with a stressful environment. Entrance into competence can be attributed to the excitability of the dynamics governing the genetic circuit that regulates this cellular behavior. Like many biological behaviors, entrance into competence is a stochastic event. In this case cellular noise is responsible for driving the cell from a vegetative state into competence and back. In this work we present a novel numerical method for the analysis of stochastic biochemical events and use it to study the excitable dynamics responsible for competence in Bacillus subtilis. Starting with a Finite State Projection (FSP) solution of the chemical master equation (CME), we develop efficient numerical tools for accurately computing competence probability. Additionally, we propose a new approach for the sensitivity analysis of stochastic events and utilize it to elucidate the robustness properties of the competence regulatory genetic circuit. We also propose and implement a numerical method to calculate the expected time it takes a cell to return from competence. Although this study is focused on an example of cell-differentiation in Bacillus subtilis, our approach can be applied to a wide range of stochastic phenomena in biological systems

    Molecular and neurological characterizations of three Saudi families with lipoid proteinosis

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    <p>Abstract</p> <p>Background</p> <p>Lipoid proteinosis is a rare autosomal recessive disease characterized by cutaneous and mucosal lesions and hoarseness appearing in early childhood. It is caused by homozygous or compound heterozygous mutations in the <it>ECM1 </it>gene. The disease is largely uncharacterized in Arab population and the mutation(s) spectrum in the Arab population is largely unknown. We report the neurologic and neuroradiologic characteristics and <it>ECM1 </it>gene mutations of seven individuals with lipoid proteinosis (LP) from three unrelated consanguineous families.</p> <p>Methods</p> <p>Clinical, neurologic, and neuro-ophthalmologic examinations; skin histopathology; brain CT and MRI; and sequencing of the full<it>ECM1 </it>gene.</p> <p>Results</p> <p>All seven affected individuals had skin scarring and hoarseness from early childhood. The two children in Family 1 had worse skin involvement and worse hoarseness than affected children of Families 2 and 3. Both children in Family 1 were modestly mentally retarded, and one had typical calcifications of the amygdalae on CT scan. Affected individuals in Families 2 and 3 had no grossneurologic, neurodevelopmental, or neuroimaging abnormalities. Skin histopathology was compatible with LP in all three families. Sequencing the full coding region of <it>ECM1 </it>gene revealed two novel mutationsin Family 1 (c.1300-1301delAA) and Family 2 (p.Cys269Tyr) and in Family 3 a previously described 1163 bp deletion starting 34 bp into intron 8.</p> <p>Conclusions</p> <p>These individuals illustrate the neurologic spectrum of LP, including variable mental retardation, personality changes, and mesial temporal calcificationand imply that significant neurologic involvement may be somewhat less common than previously thought. The cause of neurologic abnormalities was not clear from either neuroimaging or from what is known about <it>ECM1 </it>function. The severity of dermatologic abnormalities and hoarseness generally correlated with neurologic abnormalities, with Family 1 being somewhat more affected in all spheres than the other two families. Nevertheless, phenotype-genotype correlation was not obvious, possibly because of difficulty quantifying the neurologic phenotype and because of genetic complexity.</p

    Whole genome identification of Mycobacterium tuberculosis vaccine candidates by comprehensive data mining and bioinformatic analyses

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    <p>Abstract</p> <p>Background</p> <p><it>Mycobacterium tuberculosis</it>, the causative agent of tuberculosis (TB), infects ~8 million annually culminating in ~2 million deaths. Moreover, about one third of the population is latently infected, 10% of which develop disease during lifetime. Current approved prophylactic TB vaccines (BCG and derivatives thereof) are of variable efficiency in adult protection against pulmonary TB (0%–80%), and directed essentially against early phase infection.</p> <p>Methods</p> <p>A genome-scale dataset was constructed by analyzing published data of: (1) global gene expression studies under conditions which simulate intra-macrophage stress, dormancy, persistence and/or reactivation; (2) cellular and humoral immunity, and vaccine potential. This information was compiled along with revised annotation/bioinformatic characterization of selected gene products and <it>in silico </it>mapping of T-cell epitopes. Protocols for scoring, ranking and prioritization of the antigens were developed and applied.</p> <p>Results</p> <p>Cross-matching of literature and <it>in silico</it>-derived data, in conjunction with the prioritization scheme and biological rationale, allowed for selection of 189 putative vaccine candidates from the entire genome. Within the 189 set, the relative distribution of antigens in 3 functional categories differs significantly from their distribution in the whole genome, with reduction in the Conserved hypothetical category (due to improved annotation) and enrichment in Lipid and in Virulence categories. Other prominent representatives in the 189 set are the PE/PPE proteins; iron sequestration, nitroreductases and proteases, all within the Intermediary metabolism and respiration category; ESX secretion systems, resuscitation promoting factors and lipoproteins, all within the Cell wall category. Application of a ranking scheme based on qualitative and quantitative scores, resulted in a list of 45 best-scoring antigens, of which: 74% belong to the dormancy/reactivation/resuscitation classes; 30% belong to the Cell wall category; 13% are classical vaccine candidates; 9% are categorized Conserved hypotheticals, all potentially very potent T-cell antigens.</p> <p>Conclusion</p> <p>The comprehensive literature and <it>in silico</it>-based analyses allowed for the selection of a repertoire of 189 vaccine candidates, out of the whole-genome 3989 ORF products. This repertoire, which was ranked to generate a list of 45 top-hits antigens, is a platform for selection of genes covering all stages of <it>M. tuberculosis </it>infection, to be incorporated in rBCG or subunit-based vaccines.</p

    Combining blue native polyacrylamide gel electrophoresis with liquid chromatography tandem mass spectrometry as an effective strategy for analyzing potential membrane protein complexes of Mycobacterium bovis bacillus Calmette-GuΓ©rin

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    <p>Abstract</p> <p>Background</p> <p>Tuberculosis is an infectious bacterial disease in humans caused primarily by <it>Mycobacterium tuberculosis</it>, and infects one-third of the world's total population. <it>Mycobacterium bovis </it>bacillus Calmette-GuΓ©rin (BCG) vaccine has been widely used to prevent tuberculosis worldwide since 1921. Membrane proteins play important roles in various cellular processes, and the protein-protein interactions involved in these processes may provide further information about molecular organization and cellular pathways. However, membrane proteins are notoriously under-represented by traditional two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) and little is known about mycobacterial membrane and membrane-associated protein complexes. Here we investigated <it>M. bovis </it>BCG by an alternative proteomic strategy coupling blue native PAGE to liquid chromatography tandem mass spectrometry (LC-MS/MS) to characterize potential protein-protein interactions in membrane fractions.</p> <p>Results</p> <p>Using this approach, we analyzed native molecular composition of protein complexes in BCG membrane fractions. As a result, 40 proteins (including 12 integral membrane proteins), which were organized in 9 different gel bands, were unambiguous identified. The proteins identified have been experimentally confirmed using 2-D SDS PAGE. We identified MmpL8 and four neighboring proteins that were involved in lipid transport complexes, and all subunits of ATP synthase complex in their monomeric states. Two phenolpthiocerol synthases and three arabinosyltransferases belonging to individual operons were obtained in different gel bands. Furthermore, two giant multifunctional enzymes, Pks7 and Pks8, and four mycobacterial Hsp family members were determined. Additionally, seven ribosomal proteins involved in polyribosome complex and two subunits of the succinate dehydrogenase complex were also found. Notablely, some proteins with high hydrophobicity or multiple transmembrane helixes were identified well in our work.</p> <p>Conclusions</p> <p>In this study, we utilized LC-MS/MS in combination with blue native PAGE to characterize modular components of multiprotein complexes in BCG membrane fractions. The results demonstrated that the proteomic strategy was a reliable and reproducible tool for analysis of BCG multiprotein complexes. The identification in our study may provide some evidence for further study of BCG protein interaction.</p

    Contrasting Transcriptional Responses of a Virulent and an Attenuated Strain of Mycobacterium tuberculosis Infecting Macrophages

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    Along with the recent identification of single nucleotide polymorphisms in H37Ra when compared to H37Rv, our demonstration of differential expression of PhoP-regulated and ESX-1 region-related genes during macrophage infection further highlights the significance of these genes in the attenuation of H37Ra

    Co-Conserved Features Associated with cis Regulation of ErbB Tyrosine Kinases

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    BACKGROUND: The epidermal growth factor receptor kinases, or ErbB kinases, belong to a large sub-group of receptor tyrosine kinases (RTKs), which share a conserved catalytic core. The catalytic core of ErbB kinases have functionally diverged from other RTKs in that they are activated by a unique allosteric mechanism that involves specific interactions between the kinase core and the flanking Juxtamembrane (JM) and COOH-terminal tail (C-terminal tail). Although extensive studies on ErbB and related tyrosine kinases have provided important insights into the structural basis for ErbB kinase functional divergence, the sequence features that contribute to the unique regulation of ErbB kinases have not been systematically explored. METHODOLOGY/PRINCIPAL FINDINGS: In this study, we use a Bayesian approach to identify the selective sequence constraints that most distinguish ErbB kinases from other receptor tyrosine kinases. We find that strong ErbB kinase-specific constraints are imposed on residues that tether the JM and C-terminal tail to key functional regions of the kinase core. A conserved RIxKExE motif in the JM-kinase linker region and a glutamine in the inter-lobe linker are identified as two of the most distinguishing features of the ErbB family. While the RIxKExE motif tethers the C-terminal tail to the N-lobe of the kinase domain, the glutamine tethers the C-terminal tail to hinge regions critical for inter-lobe movement. Comparison of the active and inactive crystal structures of ErbB kinases indicates that the identified residues are conformationally malleable and can potentially contribute to the cis regulation of the kinase core by the JM and C-terminal tail. ErbB3, and EGFR orthologs in sponges and parasitic worms, diverge from some of the canonical ErbB features, providing insights into sub-family and lineage-specific functional specialization. CONCLUSION/SIGNIFICANCE: Our analysis pinpoints key residues for mutational analysis, and provides new clues to cancer mutations that alter the canonical modes of ErbB kinase regulation
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