Automation and developmental validation of the ForenSeq™ DNA Signature Preparation kit for high-throughput analysis in forensic laboratories

Massively parallel sequencing (MPS) applications in forensic science highlight the advantages of this technique compared to capillary electrophoresis (CE). The multiplexing of a wide range of genetic markers and access to the full amplicon sequence, allowing the detection of isoalleles, make it a very promising tool which could be applied to the most challenging casework DNA samples. However, the complexity of the manual library preparation protocol, potential DNA contamination and sample tracking issues are the main reasons why forensic scientists still hesitate to implement MPS analytical workflows in their laboratory. Here, we present the automation of all library preparation steps for up to 96 samples using the Verogen’s ForenSeq^™ DNA Signature Preparation kit. This automated protocol, developed on a Hamilton ID STARlet robotic platform, is designed to allow the combined sequencing of rich and poor DNA samples thanks to a final step which adjusts normalized library pooling volume to guarantee a uniform depth of coverage across all samples. Our study includes tests of concordance, repeatability, reproducibility and sensitivity (1000 pg, 700 pg, 500 pg, 250 pg, 100 pg and 50 pg). Sequencing results obtained with the automated protocol were found to be concordant with previous validation studies using the manual protocol in terms of depth of coverage and allele coverage ratio. The results of this study will assist forensic laboratories seeking to acquire a plug and play solution to optimize the processing and analysis of casework samples with MPS.     

纽约大学图书馆可重复性研究支持服务的分析及启示

通过网络调查和内容分析，从服务对象、服务内容、人员配置和服务设施等方面对纽约大学图书馆可重复性研究支持服务进行调研分析，并在此基础上总结其服务特点，提出研究型图书馆应积极应对研究领域的“可重复性危机”，倡导开放科学和可重复性研究，加强基础设施建设和开发应用软件，开展嵌入科研过程的可重复性研究培训和咨询，以期为提升研究的可重复性做出贡献。     

牙颌组织及修复体三维几何学、有限元模型的设计

目的 建立口腔修复各类模型及模型库系统。方法 以正常颌骨及牙弓为样本，在CT技术及计算机软件（PRO／E，ANSYS等的）的帮助下，首先建立部分上颌骨及下颌骨的三维几何学模型和有限元模型，再建立牙颌组织和修复体的各类模型库，最后探讨模型和模型库的应用方法。结果 建立了部分上颌骨，下颌骨，牙列及修复体的三维模型及模型库。结论 模型具有较好的力学相似形和几何学相似形，模型库应用高效方便。     

可摘局部义齿三维几何学模型库的应用

目的 探讨可摘局部义齿修复体模型库的应用方法。方法 借助PRO／E,POWERSHAPE等软件,合理设计模型库的结构,并探讨快速高效的使用方法。结果 模型库可通过“调用－编辑”和“单元组”的方法应用。结论 该模型库有较合理的组成结构,应用高效,快速。     

Duchenne Muscular Dystrophy—a biopsychosocial approach

This paper highlights the key role that paediatric physiotherapists have in the treatment and management of neuromuscular disorders. However, in order to fully appreciate this role, an understanding of the psychosocial implications of progressive neuromuscular disorders, and the impact this has upon the family unit is necessary. Duchenne Muscular Dystrophy is the most common childhood neuromuscular disorder and many texts acknowledge the paradigm that the family is the patient. Management of this group should take into account the impact of the social, emotional and physical manifestation of the condition upon the family unit. This review discusses the literature to date in this field and offers an insight into the complex family dynamics of caring for a young man with Duchenne Muscular Dystrophy. By exploring the psychosocial aspect of this degenerative disorder, the physiotherapist will be better equipped to manage the changing needs of this client group whilst assisting the family to adapt to each new stage of the disease progression.     

Proteomic Analysis for Finding Serum Pathogenic Factors and Potential Biomarkers in Multiple Myeloma

Background:

Multiple myeloma (MM) is a malignant tumor, which takes the second place in malignant blood disease. The clinical symptoms are complicated that make more difficult to diagnose and therapy. Lots of researches focus on the proteins about MM in order to solve those problems. We used proteomic methods to find potential biomarkers in MM patients.

Methods:

We applied the peptide ligand library beads (PLLBs) to deplete high abundance proteins in serum for finding potential pathogenic factors and biomarkers of MM. Using 1D-Gel-liquid chromatography-tandem mass spectrometry (LC-MS/MS), we identified 789 and 849 unique serum proteins in MM patients and in healthy controls, respectively.

Results:

Twenty-two proteins were found differentially expressed between the two groups including serum amyloid A protein, vitamin D-binding protein isoform-1 precursor, plasma kallikrein, and apolipoprotein A-I. Changes of integrin alpha-11 and isoform-1 of multimerin-1 were validated with Western blotting. The linkage of the differentially expressed proteins and the pathogenesis pathways of MM were discussed.

Conclusions:

PLLB combined with 1D-gel-LC-MS/MS analysis is an efficient method to identify differentially expressed proteins in serum from patients with MM.     

基于语义网和SOA的医学图书馆信息服务模型设计

提出了基于语义网关联数据和本体技术的用户检索方式的转变及基于本体的学科馆员信息服务模型。该模型利用SOA技术为基于语义网的信息服务提供了开放的应用接口,通过建立基于关联数据技术的驱动引擎和知识库,使资源之间具有了语义上的可扩展的关联关系,并搭建了学科馆员平台、医学领域专家平台、学科专业用户平台,学科馆员在医学领域专家的协助下,应用本体模型为医学专业用户提供语义层面的智能化检索服务。     

图书馆微博营销评价指标体系的构建

微博已经成为图书馆重要的营销工具,营销评价是微博营销管理不可缺少的环节。图书馆微博营销评价可以从微博的可信度、微博的影响力、微博的沟通性和内容的表达力等四个方面建立指标体系,在评价中,对收集到的数据要作科学的分析与处理,评价方法应更加综合性,要采取措施使评价工作得到可持续发展。     

日本患者图书馆概述

基于“阅读”在患者康复过程中的重要作用,介绍了日本患者图书馆的历史、现状、服务形式、服务业务、服务对象以及人才培养方法,相关团体和个人的积极带动,以推动我国医院患者图书馆的建立和发展。     

全国部分医学图书情报硕士研究生选题特征现状归纳

图书情报人才培养一直是图书馆工作中的重点内容,本文回顾了2004年以来全国部分医学图书情报硕士研究生选题,以选题特征为切入点,深入分析归纳了选题的特征、对象以及方法,总结了医学图情人才队伍培养面临的问题及发展趋势,为后续进一步研究医学图情硕士生培养提供参考依据。