一个α,β地中海贫血复合家系β珠蛋白基因的进一步研究

 前文~[1]曾报道广西一个α,β地中海贫血复合家系的血红蛋白组成及α珠蛋白基因分析结果,并讨论了各成员可能的β珠蛋白基因结构情况。本文利用先进的PCR即基因扩增技术,结合特异寡核苷酸探针斑点杂交及扩增后直接测定DNA序列的技术,进一步研究并彻底搞请了该家系各成员的β珠蛋白基因结构情况。结果显示:母亲及两个弟弟都是编码子41—42TTCT四个碱基缺失造成框架位移所致β地中海贫血的杂合子。父亲与先证者的β基因均属正常。前三个成员均为α地贫复合β地贫,其α与β珠蛋白链合成的不均衡状态得到改善,贫血症状也明显轻。     

花梨木组织培养外植体消毒方法初步探讨

针对在花梨木(Dalbergia odofifera T. Chen)组织培养过程中外植体的有效消毒方法进行研究。外植体消毒主要以2年生以上实生苗的茎段为材料,开展了茎段外植体次氯酸钠(5%,10%,15%)和升汞(0.05%,0.1%,0.2%)3个浓度水平的消毒试验。在此基础上,开展了外植体消毒的时间试验,次氯酸钠消毒时间为10 min、20 min、30 min,升汞消毒时间为5 min、10 min、15 min。结果表明：茎段外植体采用10%浓度的次氯酸钠消毒效果较好,最佳消毒方式75%的酒精浸泡2 min,10%次氯酸钠消毒20 min,该方法污染率最低、存活力最高。     

长时间左心辅助循环成功经验探讨

目的：对长时间左心辅助循环成功经验进行探讨。方法：于2002年7月9日对一例冠状动脉搭桥术加二尖瓣置换术后出现严重低心排的患者施行左心辅助,共23小时40分,抢救成功。结论：左心辅助作为一种安全有效和可信的救治衰竭心脏的方法,其成功应用有以下4要素：应用时机和病人选择、装置的选择及其表现、操作左心辅助医生对左心辅助理论的理解和对临床情况的判断力、左心辅助并发症的防治。     

苏云金芽孢杆菌S1478-1分离株的特性鉴定及cry1Ac同源基因克隆

本研究对从海南岛尖峰岭热带雨林自然保护区的土壤样品中分离出的Bt菌株S1478-1进行了特性鉴定,研究表明S1478-1分离株菌落形态和生长特征和Bt参照菌株HD73极其相似.16S rDNA序列分析表明,S1478-1分离株与其它B.thuringiensis、B.cereus和B.anthracis的16S rDNA序列相似性达到99%.分离株能产菱形伴胞晶体,SDS-PAGE蛋白电泳分析表明,菌株在生长后期,形成芽孢同时分泌130 kD大小的晶体蛋白.生物测定表明S1478-1分离株对小菜蛾具有很高的毒杀活性,LC50卯值高达5.159 ×108cfu/mL.初步显示S1478-1分离株可作为防治鳞翅目害虫的生物农药菌株.利用PCR-RFLP方法鉴定S1478-1分离株含有cry1Ac同源基因,以PCR粘性端克隆方法扩增全长基因,序列测定表明该基因ORF为3 537bp,编码1178个氨基酸,推定的编码蛋白分子量为133.3 kD,与其它cry1Ac基因序列最高达到99%同源,因此,该基因可作为杀虫工程菌及培育转基因抗虫作物的候选基因.     

宏组学方法在污水处理系统中的应用进展

污水生物处理由微生物生理过程驱动,宏组学方法能够获得不同水平的分子信息,为认识污水处理系统中的微生物提供了新途径。本文对宏基因组学、宏转录组学、宏蛋白质组学与代谢组学等宏组学方法的发展进行综述,着重介绍各组学及整合宏组学在污水处理系统中的研究现状,并指出其应用前景。     

Ageing related thyroid deficiency increases brain-targeted transport of liver-derived ApoE4-laden exosomes leading to cognitive impairment

Alzheimer’s disease (AD) is the prevalent cause of dementia in the ageing world population. Apolipoprotein E4 (ApoE4) allele is the key genetic risk factor for AD, although the mechanisms linking ApoE4 with neurocognitive impairments and aberrant metabolism remains to be fully characterised. We discovered a significant increase in the ApoE4 content of serum exosomes in old healthy subjects and AD patients carrying ApoE4 allele as compared with healthy adults. Elevated exosomal ApoE4 demonstrated significant inverse correlation with serum level of thyroid hormones and cognitive function. We analysed effects of ApoE4-containing peripheral exosomes on neural cells and neurological outputs in aged or thyroidectomised young mice. Ageing-associated hypothyroidism as well as acute thyroidectomy augmented transport of liver-derived ApoE4 reach exosomes into the brain, where ApoE4 activated nucleotide-binding oligomerisation domain-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome by increasing cholesterol level in neural cells. This, in turn, affected cognition, locomotion and mood. Our study reveals pathological potential of exosomes-mediated relocation of ApoE4 from the periphery to the brain, this process can represent potential therapeutic target.Subject terms: Cognitive neuroscience, Alzheimer''s disease, Cellular neuroscience     

GAPIT Version 3: Boosting Power and Accuracy for Genomic Association and Prediction

Genome-wide association study (GWAS) and genomic prediction/selection (GP/GS) are the two essential enterprises in genomic research. Due to the great magnitude and complexity of genomic and phenotypic data, analytical methods and their associated software packages are frequently advanced. GAPIT is a widely-used genomic association and prediction integrated tool as an R package. The first version was released to the public in 2012 with the implementation of the general linear model (GLM), mixed linear model (MLM), compressed MLM (CMLM), and genomic best linear unbiased prediction (gBLUP). The second version was released in 2016 with several new implementations, including enriched CMLM (ECMLM) and settlement of MLMs under progressively exclusive relationship (SUPER). All the GWAS methods are based on the single-locus test. For the first time, in the current release of GAPIT, version 3 implemented three multi-locus test methods, including multiple loci mixed model (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK). Additionally, two GP/GS methods were implemented based on CMLM (named compressed BLUP; cBLUP) and SUPER (named SUPER BLUP; sBLUP). These new implementations not only boost statistical power for GWAS and prediction accuracy for GP/GS, but also improve computing speed and increase the capacity to analyze big genomic data. Here, we document the current upgrade of GAPIT by describing the selection of the recently developed methods, their implementations, and potential impact. All documents, including source code, user manual, demo data, and tutorials, are freely available at the GAPIT website (http://zzlab.net/GAPIT).