Since their establishment in 1981, RBL-2H3 cells have been widely used as a mast cell (MC) model. Their ability to be easily grown in culture in large amounts, their responsiveness to FcεRI-mediated triggers and the fact that they can be genetically manipulated, have provided advantages over primary MCs, in particular for molecular studies relying on genetic screening. Furthermore, the ability to generate clones that stably express proteins of interest, for example, a human receptor, have marked the RBL cells as an attractive MC model for drug screening. Indeed, 3 RBL reporter cell lines (RS-ATL8, NFAT-DsRed, and NPY-mRFP) have been generated providing useful models for drug and allergen screening. Similarly, RBL cells stably expressing the human MrgprX2 receptor provide a unique paradigm for analyzing ligand interactions and signaling pathways of the unique human receptor. Finally, transient co-transfections of RBL cells allow functional genomic analyses of MC secretion by combining library screening with simultaneous expression of a reporter for exocytosis. RBL cells thus comprise powerful tools for the study of intracellular membrane trafficking and exocytosis and the detection of allergens, vaccine safety studies and diagnosis of allergic sensitization. Their recent uses as an investigative tool are reviewed here. 相似文献
Recently, NADC30-like porcine reproductive and respiratory syndrome viruses (PRRSVs), which are genetically similar to the NADC30 strain isolated in the United States of America in 2008, have become prevalent in China. Here, a novel variant PRRSV strain named HNhx was successfully isolated on porcine alveolar macrophages from Henan province and the full-length genome sequence was determined. Phylogenetic analysis indicated that HNhx strain was classified into the NADC30-like PRRSV subgroup, in which all the strains had the unique discontinuous 131-amino acid deletion relative to that of the nonstructural protein 2 (Nsp2) of the VR2332 strain. Genetically, HNhx shared 92.9% nucleotide similarity to NADC30. Furthermore, HNhx strain contained extensive amino acid mutations in GP5. In particular, the S32H, N33D, D34N, and S36G variations resulted in that HNhx lost all the putative N-linked glycosylation sites at amino acid positions 30, 32, 33, 34, and 35. Recombination analysis revealed that HNhx was the result of recombination between the NADC30 strain and the highly pathogenic PRRSV vaccine strain circulating in China in Nsp4 (nt 5261) to Nsp9 (nt 7911). The novel genome data of HNhx will be helpful for understanding the evolution and epidemiology of PRRSV in China. 相似文献
Journal of Autism and Developmental Disorders - Atypical eating behaviors displayed by children with autism spectrum disorder (ASD) predispose them to unhealthy weight gain. We determined the... 相似文献
Journal of Neurology - This study aimed to evaluate the safety and efficacy of mechanical thrombectomy (MT) in patients with acute basilar artery occlusion (BAO) based on the baseline Basilar... 相似文献
Journal of Neurology - Paraneoplastic syndrome is a group of clinical symptoms that occur in the state of systemic malignant tumors. Paraneoplastic syndrome of the nervous system can affect any... 相似文献
The thinking mode based on granule structure in granular computing essentially simulates the pattern of human thinking to solve problem. Such thinking for the study of knowledge discovery is also of significant importance in cognitive computing. Under such circumstances, the theory of multi-granularity formal concept analysis (MG-FCA) was proposed. But MG-FCA has not been applied to the analysis of three-dimensional data. Because three-dimensional data is very common and an important type of data in the real world, multi-granularity and knowledge discovery of three-dimensional data are two meaningful topics.
In this paper, in order to solve the problem of three-dimensional data granularity, the idea of granularity of attributes is first introduced into triadic contexts on the basis of the relationship between triadic concept analysis and formal concept analysis. Moreover, the definition of multi-granularity triadic context is proposed, and some useful properties are studied. Then, for the purpose of realizing cross-granularity knowledge discovery in multi-granularity triadic contexts, two kinds of triadic contexts are given. As a matter of fact, for a specific problem, people often only need a solution to meet their needs. Thus, the problem of optimal granule combination selection is investigated, and the corresponding algorithms are explored. At last, for better understanding, an example with certain semantics is used to explain the proposed methods for multi-granularity triadic contexts.
The main contribution as well as the significant feature of this study is to construct multi-level three-dimensional data structure and realize cross-granularity knowledge discovery. Our work will provide multi-granularity cognitive research method based on three-dimensional data.
