Brain Transcriptional and Epigenetic Associations with Autism

BackgroundAutism is a common neurodevelopmental syndrome. Numerous rare genetic etiologies are reported; most cases are idiopathic.Conclusions/SignificanceThis work highlights two largely unrecognized molecular pathophysiological themes in autism and suggests differing molecular bases for autism behavioral endophenotypes.     

糯米香茶中角鲨烯含量的RP-HPLC测定

建立测定糯米香茶中角鲨烯含量的RP-HPLC分析方法。采用DiamonsilTMC18色谱柱,流动相为甲醇/乙腈(60/40,v/v),流速1.2 mL/min,柱温40℃,检测波长203 nm。在该条件下角鲨烯标准品和糯米香茶中角鲨烯分离效果均良好,在0.4144～2.0720 ug范围内呈良好线性关系(R2=0.9999)。该方法精密度试验结果RSD为1.146%,角鲨烯平均回收率为100.97%,RSD为2.32%,供试液稳定性良好,符合2005版《中国药典》要求。     

基于Cre/loxP系统的睾丸组织特异性敲除Elovl4基因小鼠模型的构建及敲除效率检测

极长链多不饱和脂肪酸(very long chain polyunsaturated fatty acids,VLC-PUFAs)是哺乳动物视网膜、睾丸等极少数组织中特有的脂肪酸,其生物合成的关键酶为极长链脂肪酸延长酶4(very long chain fatty acid elongase 4,Elovl4)。建立组织特异性敲除Elovl4基因的动物模型有利于深入研究VLC-PUFAs的生物学功能,因此,本研究基于Cre/loxP系统,先分别构建了Stra8-Cre小鼠和Elovl4 floxed小鼠,通过杂交获得(Elovl4[flox/+],Stra8-Cre)杂合子基因敲除小鼠,再选择雌鼠与Elovl4 floxed纯合子雄鼠即Elovl4 [flox/flox]雄鼠杂交,通过基因型鉴定筛选获得(Elovl4[flox/flox], Stra8-Cre)纯合子小鼠。利用RT-PCR、qRT-PCR、Western blotting、免疫组化和免疫荧光检测Elovl4在睾丸组织中的敲除效率,结果表明,无论是杂合子还是纯合子基因敲除小鼠,其睾丸组织中Elovl4的表达在mRNA及蛋白水平显著下调,但其他组织未受影响。本研究成功构建了睾丸组织特异性敲除Elovl4基因小鼠,为后续研究VLC-PUFAs对雄性小鼠生殖功能的影响及相关分子机制提供可靠的动物模型。     

菠菜BADH单抗细胞株及其应用初探

用菠菜甜菜碱醛脱氢酶 ( BADH)免疫巴比西 ( BALB/c)小鼠 ,将其脾细胞与骨髓瘤细胞 SP2 /O-Ag1 4融合 ,在 1 92孔中 ,有约 1 4 %孔生长的杂交瘤细胞 ,用间接酶联免疫方法 ( ELISA)检测表现为阳性。选择其中 2 G3和 2 D10 细胞系 ,用有限稀释法进行克隆化培养 ,约 2 0 %克隆化细胞为强阳性。选择其中 2 G3- H3细胞株注射到 BALB/c小鼠腹腔中诱导腹水 ,腹水的单抗效价为 1∶ 1 0 3。应用 BADH单抗检查了大麦、水稻、高粱、小麦幼苗的叶片和根的粗提物 ,均呈阳性反应 ,表明 BADH除在光合组织中存在外 ,在非光合组织中也可能存在。讨论了非光合组织 BADH的意义     

芦荟苷A、B以及异芦荟色苷D的同时分离纯化

首次采用反相中压制备色谱从芦荟中一次分离制备得到芦荟苷A、B以及异芦荟色苷D。以库拉索芦荟丙酮粗提物为原料,采用中压制备色谱系统:SCO色谱柱(40 cm×26 cm,30～50μm),流动相甲醇-0.5%乙酸水(33∶67,V/V),流速20 mL/min,等度洗脱方式,柱温室温,检测波长254 nm,收集波长356 nm对芦荟样品进行分离制备,得到三种化合物单体。经高效液相色谱、紫外、红外、质谱及核磁共振等方法分析表明所得到的三种化合物分别是异芦荟色苷D、芦荟苷A和芦荟苷B,其纯度分别达到了98.0%,96.0%和98.9%。该方法简便,产品质量高,一次制备可以得到多种单体,为芦荟成分的测定与药理活性的研究提供了条件。     

A review of EEG and MEG for brainnetome research

The majority of brain activities are performed by functionally integrating separate regions of the brain. Therefore, the synchronous operation of the brain’s multiple regions or neuronal assemblies can be represented as a network with nodes that are interconnected by links. Because of the complexity of brain interactions and their varying effects at different levels of complexity, one of the corresponding authors of this paper recently proposed the brainnetome as a new –ome to explore and integrate the brain network at different scales. Because electroencephalography (EEG) and magnetoencephalography (MEG) are noninvasive and have outstanding temporal resolution and because they are the primary clinical techniques used to capture the dynamics of neuronal connections, they lend themselves to the analysis of the neural networks comprising the brainnetome. Because of EEG/MEG’s applicability to brainnetome analyses, the aim of this review is to identify the procedures that can be used to form a network using EEG/MEG data in sensor or source space and to promote EEG/MEG network analysis for either neuroscience or clinical applications. To accomplish this aim, we show the relationship of the brainnetome to brain networks at the macroscale and provide a systematic review of network construction using EEG and MEG. Some potential applications of the EEG/MEG brainnetome are to use newly developed methods to associate the properties of a brainnetome with indices of cognition or disease conditions. Associations based on EEG/MEG brainnetome analysis may improve the comprehension of the functioning of the brain in neuroscience research or the recognition of abnormal patterns in neurological disease.