Objective:To obtain AP2/ERF genes from Brassica oleracea by using in silico cloning. Methods: AP2/ERF genes were cloned by retnieving the EST database and using the bioinformatics software with the Arabidopsis thaliana AP2/ERF as a querying probe. Results:Two AP2/ERF family transcriptional regulators (BoAP2/ERF1 and BoAP2/ERF2) were isolated from Brassica olera-cea by the in silico cloning method. Some characters of AP2/ERF protein were analyzed and predicted by the tools of bioinformatics in the following aspects including the composition of amino acid sequence, hydrophilicity and hydrophobicity, subcellular localization, secondary and tertiary structure of protein and function. Conclusion:Bioinformatical analysis shows BoAP2/ERF1 and BoAP2/ERF2 gene encode 40. 85kDa and 39. 44kDa protein with 371 and 352 amino acids. The domain is predicted to locate on nucleus. Sequence analysis indicates the protein may be involved in signaling transducer and stressing response roles in plantbiotic stresses.

OBJECTIVE:To determine the content of 17 amino acid in sarcocarp of northeast Empetrum nigrum simultaneous-ly. METHODS:HPLC-ELSD method was adopted. The determination was performed on Waters Symmetry C18 column with mobile phase consisted of 5.0 mmol/L heptafluorobutyric acid solution(containing 0.7% trifluoroacetic acid)-acetonitrile(gradient elution) at the flow rate of 2.0 L/min,the column temperature was 37 ℃,the drift tube temperature was set at 60 ℃. RESULTS:The line-ar ranges of glycine,serine,aminosuccinic acid,aminopropionic acid,threonine,glutamic acid,cystinol,diaminocaproic acid, histidine,arginine,proline,valine,methionine,oxyphenylaminopropionic acid,isoleucine,aminocaproic acid,phenylalanine were 0.0059-0.1877,0.0082-0.2628,0.0104-0.3328,0.0070-0.2227,0.0093-0.2978,0.0115-0.3678,0.0094-0.3004,0.0114-0.3655,0.0121-0.3880,0.0136-0.4355,0.0090-0.2878,0.0092-0.2930,0.0117-0.3730,0.0142-0.4530,0.0103-0.3280, 0.0103-0.3280 and 0.0129-0.4130 mg/mL(all r>0.9990). RSDs of precision,stability and repeatability tests were not all less than 2.0%. Recoveries were 98.0%-101.2%(RSD<2.0%,n=6). CONCLUSIONS:This method is simple,precision,stable and repeatable,and can be used for simultaneous determination of 17 amino acid in sarcocarp of northeast E. nigrum.

Combining the two novelty search work workshops with recent published papers on novelty search in Universities and Colleges,new progresses for science & technology (ST) novelty search in Universities and Colleges have been comprehensive summarized,and some enlightenments have been probed into seminar:a new novelty search experience communication mode and fast development of college ST novelty search work to ST novelty search and innovation.

ObjectiveTo identify the relationship between tumor tissue interleukins （ILs） and non-small cell lung cancer （NSCLC） patients with poor response to immune checkpoint blockade （ICB） therapy， and to investigate the differential expression of ILs in tumor of NSCLC patients as well as its effect on ICB response and prognosis. MethodsA total of 61 patients diagnosed with NSCLC and treated with ICB were retrospectively collected from the data of a previous study. We obtained transcriptome sequencing data from tumor tissues and survival data of the patients before ICB treatment. Using bioinformatics methods， we screened for ILs that significantly affected the efficacy and prognosis of ICB treatment. We evaluated the efficacy of ICB treatment using progressive-free survival （PFS） and assessed the prognosis using overall survival （OS）. The Kaplan-Meier survival curve and ROC curve were used to analyze the predictive effect and efficacy of ILs on the efficacy and prognosis of ICB in NSCLC patients. ResultsThe results of the univariate Cox regression analysis in our study showed that nine ILs were found to be associated with OS of NSCLC patients treated with ICB at a significance level of P < 0.1. Further multivariate analysis revealed that high expression of IL-11， IL-17D， and IL-36A was significantly associated with poor prognosis in these patients （P < 0.05）. The results from the Kaplan-Meier survival curve analysis revealed a significant negative correlation between the high expression of IL-17D and both PFS and OS in NSCLC patients. Specifically， patients with IL-17D high expression had a median PFS of 3.1 months compared with 6.5 months in low expression patients ［95% confidence interval （CI） （1.178， 3.655）， P = 0.009］. Similarly， the median OS was 9.8 months in the high expression group versus 21.8 months in the low expression group ［95%CI （1.116， 4.392）， P = 0.018］. ROC curve showed that the prediction performance was favorable ［AUC_PFS = 0.702，95%CI （0.562， 0.842）， P = 0.027； AUC_OS = 0.684， 95%CI （0.550， 0.818）， P = 0.014］. Although IL-11 and IL-36A alone were not significant predictors of PFS and OS in NSCLC patients， the median PFS and OS were notably shortened to 2.2 months （P = 0.003） and 3.0 months （P < 0.001）， respectively， when high expression of IL-11 and IL-36A was combined with high expression of IL-17D. The ROC curve analysis demonstrated an improvement in prediction efficiency for both PFS and OS in NSCLC patients ［AUC_PFS = 0.748， 95%CI （0.615， 0.880）， P = 0.007； AUC_OS = 0.703， 95%CI （0.573， 0.833）， P = 0.007］. ConclusionThe results suggest that high expression of IL-11， IL-17D， and IL-36A is associated with a higher risk of disease progression which correlates to poor PFS and OS in NSCLC patients.