Discovering robust protein biomarkers for disease from relative expression reversals in 2-D DIGE data

This study assesses the ability of a novel family of machine learning algorithms to identify changes in relative protein expression levels, measured using 2-D DIGE data, which support accurate class prediction. The analysis was done using a training set of 36 total cellular lysates comprised of six normal and three cancer biological replicates (the remaining are technical replicates) and a validation set of four normal and two cancer samples. Protein samples were separated by 2-D DIGE and expression was quantified using DeCyder-2D Differential Analysis Software. The relative expression reversal (RER) classifier correctly classified 9/9 training biological samples (p<0.022) as estimated using a modified version of leave one out cross validation and 6/6 validation samples. The classification rule involved comparison of expression levels for a single pair of protein spots, tropomyosin isoforms and alpha-enolase, both of which have prior association as potential biomarkers in cancer. The data was also analyzed using algorithms similar to those found in the extended data analysis package of DeCyder software. We propose that by accounting for sources of within- and between-gel variation, RER classifiers applied to 2-D DIGE data provide a useful approach for identifying biomarkers that discriminate among protein samples of interest.     

《中国植被志》研编规范的若干说明、补充与修订

前期编制的《中国植被志》研编技术规范为《中国植被志》的研编工作提供了标准和指南。但在后续研编过程中发现存在一些具体问题和不足。针对这些问题和不足, 该文主要就《中国植被志》研编中的“植被类型”及志书卷册划分、中低级植被分类单元群落数量特征的记述以及文献记载的群落类型的收录等内容进行了补充和修订, 并对植被分类方法做了进一步说明。这些补充和修订内容与前期的技术规范共同成为《中国植被志》研编的依据和标准。     

不同酿酒酵母菌株来源异麦芽糖酶IMA1的克隆、表达及表征

[目的]异麦芽糖酶IMA1在充分利用含有α-1,6-O-糖苷键的低聚糖中起着关键作用。[方法]在本研究中,对来自4株酿酒酵母菌株（包括3株嗜酸性菌株）来源的异麦芽糖酶IMA1进行克隆、表达、纯化和表征。[结果]研究发现,4种异麦芽糖酶IMA1表现出类似的pH和温度依赖性,但表现出不同的动力学参数和热稳定性。IMA1-A对α-MG（α-甲基葡糖苷）表现出最高的结合亲和力、转换数、催化效率和热稳定性。结构和序列分析表明,2个远离活性位点和底物结合位点的氨基酸的差异对异麦芽糖酶IMA1的动力学参数和热稳定性有重要影响。[结论]本研究结果对进一步研究异麦芽糖酶IMA1的结构-功能关系奠定了基础。     

Fatty acids differentiate consumers despite variation within prey fatty acid profiles

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