cDNA Cloning and Expression Pattern of Homolog of Alpha Subunit of Platelet-Activating Factor Acetylhydrolase Ib from the Chinese Oak Silkworm, Antheraea pernyi

Platelet-activating factor acetylhydrolase (PAF-AH) is an enzyme that catalyzes the hydrolysis of platelet-activating factor (PAF). A homolog of alpha subunit of PAF-AH(Ib) from Antheraea pernyi (Guérin-Méneville) (Lepidoptera: Saturniidae) (ApPAFAHIbα) was isolated and characterized. The obtained cDNA sequence was 1843 base pairs (bp) long with an open reading frame (ORE) of 678 bp encoding 225 amino acids. The predicted amino acid sequence shared several conserved features of PAF-AHs of other organisms, and revealed 88, 60, and 46% identity with the homologues of Bombyx mori, Drosophila melanogaster, and Homo sapiens, respectively. Phylogenetic analysis indicated that lepidopteran PAFAHIbαs including ApPAFAHIbα might be a new member of the PAF-AHs family of insects. Reverse transcriptase polymerase chain reaction (RT-PCR) analysis showed that the ApPAFAHIbα gene was transcribed at four developmental stages and expressed in all tissues tested

Modelling of inquiry diagnosis for coronary heart disease in traditional Chinese medicine by using multi-label learning

<p>Abstract</p> <p>Background</p> <p>Coronary heart disease (CHD) is a common cardiovascular disease that is extremely harmful to humans. In Traditional Chinese Medicine (TCM), the diagnosis and treatment of CHD have a long history and ample experience. However, the non-standard inquiry information influences the diagnosis and treatment in TCM to a certain extent. In this paper, we study the standardization of inquiry information in the diagnosis of CHD and design a diagnostic model to provide methodological reference for the construction of quantization diagnosis for syndromes of CHD. In the diagnosis of CHD in TCM, there could be several patterns of syndromes for one patient, while the conventional single label data mining techniques could only build one model at a time. Here a novel multi-label learning (MLL) technique is explored to solve this problem.</p> <p>Methods</p> <p>Standardization scale on inquiry diagnosis for CHD in TCM is designed, and the inquiry diagnostic model is constructed based on collected data by the MLL techniques. In this study, one popular MLL algorithm, ML-kNN, is compared with other two MLL algorithms RankSVM and BPMLL as well as one commonly used single learning algorithm, k-nearest neighbour (kNN) algorithm. Furthermore the influence of symptom selection to the diagnostic model is investigated. After the symptoms are removed by their frequency from low to high; the diagnostic models are constructed on the remained symptom subsets.</p> <p>Results</p> <p>A total of 555 cases are collected for the modelling of inquiry diagnosis of CHD. The patients are diagnosed clinically by fusing inspection, pulse feeling, palpation and the standardized inquiry information. Models of six syndromes are constructed by ML-kNN, RankSVM, BPMLL and kNN, whose mean results of accuracy of diagnosis reach 77%, 71%, 75% and 74% respectively. After removing symptoms of low frequencies, the mean accuracy results of modelling by ML-kNN, RankSVM, BPMLL and kNN reach 78%, 73%, 75% and 76% when 52 symptoms are remained.</p> <p>Conclusions</p> <p>The novel MLL techniques facilitate building standardized inquiry models in CHD diagnosis and show a practical approach to solve the problem of labelling multi-syndromes simultaneously.</p

Endothelial CD276 (B7-H3) expression is increased in human malignancies and distinguishes between normal and tumour-derived circulating endothelial cells

Background:Mature circulating endothelial cells (CEC) are surrogate markers of endothelial damage. CEC measured in patients with advanced cancer are thought not only to derive from damaged normal vasculature (n-CEC), bu

Electron-beam-assisted superplastic shaping of nanoscale amorphous silica

At room temperature, glasses are known to be brittle and fracture upon deformation. Zheng et al. show that, by exposing amorphous silica nanostructures to a low-intensity electron beam, it is possible to achieve dramatic shape changes, including a superplastic elongation of 200% for nanowires