研究生基因克隆与功能分析课程教学方式的探索与实践

基因工程是现代生物技术的重要核心。基因克隆与功能分析是生物化学与分子生物学专业硕士研究生的专业主干课,在生物技术人才的培养过程中起着重要的作用。时代的发展对研究生基因克隆与功能分析课程的教学模式提出了新的要求。本文探讨了翻转课堂教学法、研讨式教学法、案例式教学法、问题导向学习教学法、任务驱动教学法在研究生基因克隆与功能分析教学中的综合运用,以期提高人才培养质量。     

基于不同分析和取样方法研究褪黑激素对育成期母貂行为分配的影响

本文基于不同分析和取样方法研究褪黑激素对育成期母貂行为分配的影响。从貂场中随机选取当年出生的6只未埋植褪黑激素、6只埋植褪黑激素的美国短毛黑母貂。采用高清摄像头分别在埋植褪黑激素后的第30天（Ⅰ期）、第60天（Ⅱ期）、第75天（Ⅲ期）记录所有水貂的行为。埋植褪黑激素对水貂行为分配的影响,混合线性模型（mixed linear model,MLM）和广义线性混合模型（generalized linear mixed model,GLMM）对于水貂的位置、采食、修饰、异常和饮水行为的分析结果不同,广义线性混合模型的分析结果更符合褪黑激素已知的作用效果;瞬时取样间隔≤1.5 min时,水貂的所有行为比例与连续取样无显著差异（P>0.05）。由此可以推断,广义线性混合模型更适合无法正态化的实验数据的分析;采用瞬时扫描取样法研究水貂行为分配,扫描时间间隔以1.5 min为宜。     

场效应晶体管生物传感器在生物医学检测中的应用研究进展*

场效应晶体管生物传感器因其灵敏度高、分析速度快、无标记、体积小、操作简单等特点而受到了很多关注,广泛应用于DNA、蛋白质、细胞、离子等生物识别物的检测。近年来,更有纳米材料和微电子技术在传感器设计中提高传感器的传感性能,场效应晶体管生物传感器朝着高灵敏、微型化、快速化以及多功能化的方向以令人惊叹的速度发展。研究场效应晶体管生物传感器工作原理,阐述近年来场效应晶体管生物传感器在生物医学检测领域中最新的研究进展与应用,探讨场效应晶体管生物传感器克服各种缺陷的应对策略,为该传感器在未来生物医学检测中的开发提供参考。     

Evolutionary profile of the family Calliphoridae,with notes on the origin of myiasis

The family Calliphoridae is a group of heterogenous calyptrate flies with a worldwide distribution including species of ecological, veterinary, medical, and forensic importance. Notorious for their parasitic habits, the larvae of many blowflies are characterised – like some other dipteran larvae – by their ability to develop in animal flesh. When parasitism affects a living host, it is termed “myiasis”. This has led the Calliphoridae to be considered as a pivotal family in its relationship with a man. Nevertheless, even after more than 50 years of research, the phylogenetic relationships among calliphorid subfamilies together with the evolutionary origin of myiasis remain unclear. In order to elucidate these problems, we constructed three phylogenetic trees by using nucleotide sequence data from cytochrome oxidase subunit one (COI), representing a mitochondrial conservative gene, and nuclear 28S subunit of ribosomal RNA gene (28S rRNA) in order to interpret the evolutionary profile of myiasis in the family Calliphoridae. The sequenced data represented species associated with ectoparasitic life-styles, either saprophagy or facultative and obligate parasitism. A total number of 50 accessions were collected for 28S rRNA, 56 for COI, and 38 for combined sequences phylogeny. Molecular Evolutionary Genetics Analysis (MEGA) software was used to align 2197 nucleotide positions of 28S rRNA and 1500 nucleotide positions of COI with a gap opening penalties and gap extension penalties equalling 20 and 0.1 respectively. The results reveal the non-monophyly of the family Calliphoridae despite the stable monophyletic status of the Chrysomyinae, Luciliinae, and Auchmeromyiinae. Also, our findings recommend ranking the Toxotarsinae as a separate family. Furthermore, comparative analysis of the phylogenetic trees shows that the habit of obligatory myiasis originated independently more than five times. This strengthens our hypothesis that the origin of eating fresh meat is a case of convergent evolution that has taken place after speciation events millions of years ago. Finally, estimating the divergence dates between lineages from molecular sequences provides a better chance of understanding their evolutionary biology.     

Recognition of brain tumors in MRI images using texture analysis

ObjectivesBrain neoplasms or intracranial tumors, which are more common in older adults, can affect individuals of any age including pediatric and children. Exposure to carcinogenic agents including ionizing radiation and family history is one of the main causes of the disease. Early diagnosis is crucial to avoid prolonged. patients' suffering. The aim of the study was to efficiently recognize the brain tumors from the other brain tissues which include grey and white matter as well as cerebrospinal fluid (CSF).Materials and methodsThis study was performed using axial, sagittal and coronal views for fifty brain tumor patients randomly selected from a set of 200 patients, with a “control” set consisting of images showing no sign of disease; and the “test” brain MRI images for patients diagnosed with brain tumor. The study includes both genders with age ranging from 18 years to 83 years old, (56.5 ± 17.2). The brain images were acquired using a standard head coil Philips Intera 1.5 Tesla machine (USA). The thickness of each section in the entire sequence was 8 mm. Acquisition of T2-weighted and T1-weighted were performed. Interactive Data Language software was used to analyze the data.ResultsThe results of this study showed that: the overall accuracy of classification process was 94.8%, and for the tumor; the sensitivity was 97.3%. White matter and grey matter showed a classification accuracy of 95.7% and 89.7% and for CSF the accuracy was 94.3%.ConclusionThe results showed that brain tumor can be classified successfully and delineated using texture analysis with minimum efforts and with high accuracy for brain tumors.     

Detection of Breast Cancer Based on Fuzzy Frequent Itemsets Mining

Background: Breast cancer, a type of malignant tumor, affects women more than men. About one third of women with breast cancer die of this disease. Hence, it is imperative to find a tool for the proper identification and early treatment of breast cancer. Unlike the conventional data mining algorithms, fuzzy logic based approaches help in the mining of association rules from quantitative transactions.Methods: In this study a novel fuzzy methodology IFFP (Improved Fuzzy Frequent Pattern Mining), based on a fuzzy association rule mining for biological knowledge extraction, is introduced to analyze the dataset in order to find the core factors that cause breast cancer. This method consists of two phases. During the first phase, fuzzy frequent itemsets are mined using the proposed algorithm IFFP. Fuzzy association rules are formed during the second phase, indicating whether a person belongs to benign or malignant. This algorithm is applied on WBCD (Wisconsin Breast Cancer Database) to detect the presence of breast cancer.Results: It is determined that the factor, Mitoses has low range of values on both malignant and benign and hence it does not contribute to the detection of breast cancer. On the other hand, the high range of Bare Nuclei shows more chances for the presence of breast cancer.Conclusion: Experimental evaluations on real datasets show that our proposed method outperforms recently proposed state-of-the-art algorithms in terms of runtime and memory usage.     

Characteristics of balance control in older persons who fall with injury – A prospective study

ObjectiveOlder adults who have recently fallen demonstrate increased postural sway compared with non-fallers. However, the differences in postural control between older adults who were seriously injured (SI) as a result of a fall, compared with those who fell but were not injured (NSI) and non-fallers (NFs), has not been investigated. The objective of the present study was to investigate the underlying postural control mechanisms related to injuries resulting from a fall.MethodsBoth traditional postural sway measures of foot center-of-pressure (CoP) displacements and fractal measures, the Stabilogram-Diffusion Analysis (SDA), were used to characterize the postural control. One hundred older adults aged 65–91 years were tested during narrow base upright stance in eyes closed condition; falls were monitored over a 1-year period.ResultsForty-nine older adults fell during the 1-year follow-up, 13 were seriously injured as a result of a fall (SI), 36 were not injured (NSI), and 49 were non-fallers (NFs); two passed away. The SDA showed significantly higher short-term diffusion coefficients and critical displacements in SI in the anterior–posterior direction compared with both NSI and NF. However, in the medio-lateral direction there were no statistically significant differences between groups. For the traditional measures of sway, the average anterior–posterior CoP range was also larger in SI individuals.ConclusionsThis work suggests that older fallers with a deterioration of anterior–posterior postural control may be at higher risk of serious injury following fall events.     

On the Prediction of the Enantioselectivity of Candida rugosa Lipase by Comparative Molecular Field Analysis

Comparative molecular field analysis (CoMFA) was used to derive a quantitative substrate model for the enzymatic resolution of norbornanol esters by the lipase of Candida rugosa. Within these calculations, the steric and electrostatic interactions of both enantiomers and the differences in the corresponding two fields were used for the correlation of the substrate structure with the enantioselectivity of the hydrolysis. Different alignments of the molecules were used to improve the model.     

Detection of Prothrombin and Osteopontin in a Renal Stone Found in a Hyperuricemic Patient Using 2D‐PAGE and LC‐MS Analysis

The liquid chromatography‐mass spectrometry (LC‐MS) following on from the two‐dimensional polyacrylamide gel electrophoresis (2D‐PAGE) technique was applied for the analysis of proteins in a renal stone found in a hyperuricemic patient. This technique was sensitive enough to detect small quantities of proteins even in a renal stone.     

Potential urinary and plasma biomarkers of peroxisome proliferation in the rat: identification of N-methylnicotinamide and N-methyl-4-pyridone-3-carboxamide by 1H nuclear magnetic resonance and high performance liquid chromatography

This study identified two potential novel biomarkers of peroxisome proliferation in the rat. Three peroxisome proliferator-activated receptor (PPAR) ligands, chosen for their high selectivity towards the PPARα, -δ and -γ subtypes, were given to rats twice daily for 7 days at doses known to cause a pharmacological effect or peroxisome proliferation. Fenofibrate was used as a positive control. Daily treatment with the PPARα and -δ agonists produced peroxisome proliferation and liver hypertrophy. ¹H nuclear magnetic resonance spectroscopy and multivariate statistical data analysis of urinary spectra from animals given the PPARα and -δ agonists identified two new potential biomarkers of peroxisome proliferation - N-methylnicotinamide (NMN) and N-methyl-4-pyridone-3-carboxamide (4PY) - both endproducts of the tryptophan-nicotinamide adenine dinucleotide (NAD⁺) pathway. After 7 days, excretion of NMN and 4PY increased 24- and three-fold, respectively, following high doses of fenofibrate. The correlation between total NMN excretion over 7 days and the peroxisome count was r=0.87 (r²=0.76). Plasma NMN, measured using a sensitive high performance liquid chromatography method, was increased up to 61-fold after 7 days' treatment with high doses of fenofibrate. Hepatic gene expression of aminocarboxymuconate-semialdehyde decarboxylase (EC 4.1.1.45) was downregulated following treatment with the PPARα and -δ agonists. The decrease was up to 11-fold compared with controls in the groups treated with high doses of fenofibrate. This supports the link between increased NMN and 4PY excretion and regulation of the tryptophan-NAD⁺ pathway in the liver. In conclusion, NMN, and possibly other metabolites in the pathway, are potential non-invasive surrogate biomarkers of peroxisome proliferation in the rat.