Objective To study CT and MRI findings of esthesioneuroblastoma.Methods Nine cases of esthesioneuroblastoma proved pathologically were presented.There were four male and five female,with mean age of 34.6 years.CT scan in four cases and MRI in seven cases were done and 2 cases had enhanced MRI.Results The location of lesions were in nasal cavity in 2 cases and in nasoethmoid region in 7 cases.Among nine cases,six cases were seen in the right side,and three cases in the left side.On CT and MRI,the lesion demonstrated a destructive solid mass,CT value ranged 29～36 HU.The lesions appeared as hamogeneous signal intensity which was higher than tongue muscle on T_1WI,and higher than grey matter on MRI T_2WI . Turbinal and ethmoid bony destruction were showed on all nine cases. The lesions invaded into opposite nose and ethmoid sinus in four cases,intruded into intracrainial cavity in eight cases, frontal sinus in six cases, orbit in eight cases in which two cases had eye protrusion, maxillary sinas in five cases and sphenoid sinus in five cases.Conclusion A esthesioneuroblastoma can be considered if a destructive solid mass occurs in nasal cavity and ethmoid sinus,with a middle signal intensity on T_2WI.

Objective To investigate the associations of single nucleotide polymorphism (SNP) locus of endothelin receptor type A (EDNRA) and Jun dimerization protein 2 (JDP2) genes with sporadic intractranial aneurysm (ⅠA) in Chinese Han population.Methods Genomic DNA was collected fiom 288 patients with ⅠA and 576 healthy controls,admitted to our hospital from 2008 to 2012.The SNPs in near EDNRA gene (rs6842241 and rs6841581) and JDP2 gene (rs741846 and rs175646) were analyzed by using the SnapShot method; and their relations with ⅠA were analyzed.Results All the genotype frequencies of these SNPs were in Hardy-Weinberg equilibrium (HWE) (P＞0.05).There were significant differences in genotypes and allele frequency distribution of near EDNRA gene between ⅠA patients and controls (P=0.000 for rs6842241 and rs6841581),while no significant differences were found in the distributions of rs741846 and rs175646 in JDP2 gene between ⅠA patients and controls (P=0.156 and 0.223).Haploview haplotyping showed that rs6842241 and rs6841581 located in a linkage disequilibrium,whose haplotypes (CG,AA and AG) were significantly different between the two groups (P=0.000,P=0.000 and P=0.009).Conclusion The rs6842241 and rs6841581 loci near EDNRA gene contribute to an increased risk ofⅠA among the Han Chinese population.

Significantly increasing crop yield is a major and worldwide challenge for food supply and security. It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide. Yet, the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery. Here, we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group. We identified the top 24 candi-date high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method, i.e., dynamic cross-tissue (DCT) network analysis. We used one of the candidate genes, OsSPL4, whose function was previously unknown, for gene editing experimental validation of the high yield, and confirmed that OsSPL4 significantly affects panicle branching and increases the rice yield. This study, which included extensive field phenotyping, cross-tissue systems biology analyses, and functional validation, uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice. The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample. DCT can be downloaded from https://github.com/zt-pub/DCT.

ObjectiveTo understand the cooperative work and mechanism in the corona virus disease 2019 containment action by the support-to-Hebei epidemiological investigation group formed by five provinces， summarize the existing challenges， and discuss the relevant mechanism， so as to provide evidence for future support actions. MethodsA questionnaire survey was used to investigate the members from five provinces of the support-to-Hebei epidemiological investigation team. The content included basic information， work situation， problems in cooperative work， and suggestions in support mechanisms. ResultsA total of 104 questionnaires were issued， of which 101 valid questionnaires were collected with an effective response rate of 97.12%. The proportions of respondents who participated in the epidemic-related data preparation， case investigation， technical training， supervision of key venues， and specimen collection was 93.07%， 85.15%， 81.19%， 65.35%， and 44.55%， respectively. The respondents believed that information sharing channel of local epidemic situation was blocked （95.05%）， coordination mechanism among local departments was insufficient （84.16%）， communication and coordination mechanism among the dispatch institutions， support team， and local departments was unperfect （84.16%）， management of the dispatch institutions to the support team was relatively loose （79.21%）， dispatch institutions failed to make full use of professional advantages of the support team （72.28%）， and majority of the support team members engaged in a single profession （59.41%）. The respondents suggested that local departments should improve the information sharing mechanism （95.05%）， strengthen communication and coordination among the dispatch institutions， support team， and local departments （92.08%）， and dispatch institutions should clarify the tasks and responsibilities of the support team （91.09%）， formulate cross-regional emergency support plans （87.13%） and evaluation plans of support action （72.28%）. ConclusionIn order to ensure the efficiency and accuracy of future support actions， it is necessary to improve the mechanism of emergency coordination， communication and matching， response procedures， team management， and support evaluation.