Test-and-treat approach to HIV/AIDS: a primer for mathematical modeling

The public benefit of test-and-treat has induced a need to justify goodness for the public, and mathematical modeling studies have played a key role in designing and evaluating the test-and-treat strategy for controlling HIV/AIDS. Here we briefly and comprehensively review the essence of contemporary understanding of the test-and-treat policy through mathematical modeling approaches and identify key pitfalls that have been identified to date. While the decrease in HIV incidence is achieved with certain coverages of diagnosis, care and continued treatment, HIV prevalence is not necessarily decreased and sometimes the test-and-treat is accompanied by increased long-term cost of antiretroviral therapy (ART). To confront with the complexity of assessment on this policy, the elimination threshold or the effective reproduction number has been proposed for its use in determining the overall success to anticipate the eventual elimination. Since the publication of original model in 2009, key issues of test-and-treat modeling studies have been identified, including theoretical problems surrounding the sexual partnership network, heterogeneities in the transmission dynamics, and realistic issues of achieving and maintaining high treatment coverage in the most hard-to-reach populations. To explicitly design country-specific control policy, quantitative modeling approaches to each single setting with differing epidemiological context would require multi-disciplinary collaborations among clinicians, public health practitioners, laboratory technologists, epidemiologists and mathematical modelers.     

Phylogeny and comparative genomic analysis of Pteriomorphia (Mollusca: Bivalvia) based on complete mitochondrial genomes

The subclass Pteriomorphia is a morphologically diverse and economically important group of Mollusca. We retrieved 42 mitochondrial genomes (mtGenomes) of Pteriomorphia and concatenated protein-coding genes, rRNAs and tRNAs to assess phylogenetic relationships and divergence times among the families with maximum likelihood (ML) and Bayesian inference (BI) analyses. Both ML and BI analyses strongly support the same topology except for the position of Atrina pectinata. Our study confirms the monophyly of the families Arcidae, Mytilidae, Pteriidae, Ostreidae and Pectinidae. Within Pteriomorphia, we recovered two clusters, one comprising Mytilidae, Arcidae and Pectinidae, the other consisting of Ostreidae, Pteriidae and Pinnidae, but we did not confirm a basal position for any family. The phylogenetic trees suggest that Ostreidae, Pteriidae and Pinnidae should be grouped as the order Ostreoida. Divergence times of major families are estimated as follows: Arcidae, 315.9 Ma; Pectinidae, 384.4 Ma; Ostreidae, 240.8 Ma; Mytilidae, 390.8 Ma. Comparative analysis indicates a low-level codon usage bias (with an average of 50.29) in mtGenomes of Pteriomorphia. In Mytilidae and Ostreidae, the codon usage bias was under mutation pressure rather than selection. Contrastingly, mutation is not the main factor in defining the codon usage in Pectinidae and Pteriidae. Among Ostreidae, Pectinidae and Mytilidae, Ka/Ks ratios range from 0.00 to 1.22 and most values (89.11%) are less than 0.20, indicating that most genes are under strong negative or purifying selection. The protein-coding gene orders show dramatically different patterns in Pteriomorphia. There is no gene block even consisting of two genes that is shared by five families.     

Constructing a linkage–linkage disequilibrium map using dominant-segregating markers

The relationship between linkage disequilibrium (LD) and recombination fraction can be used to infer the pattern of genetic variation and evolutionary process in humans and other systems. We described a computational framework to construct a linkage–LD map from commonly used biallelic, single-nucleotide polymorphism (SNP) markers for outcrossing plants by which the decline of LD is visualized with genetic distance. The framework was derived from an open-pollinated (OP) design composed of plants randomly sampled from a natural population and seeds from each sampled plant, enabling simultaneous estimation of the LD in the natural population and recombination fraction due to allelic co-segregation during meiosis. We modified the framework to infer evolutionary pasts of natural populations using those marker types that are segregating in a dominant manner, given their role in creating and maintaining population genetic diversity. A sophisticated two-level EM algorithm was implemented to estimate and retrieve the missing information of segregation characterized by dominant-segregating markers such as single methylation polymorphisms. The model was applied to study the relationship between linkage and LD for a non-model outcrossing species, a gymnosperm species, Torreya grandis, naturally distributed in mountains of the southeastern China. The linkage–LD map constructed from various types of molecular markers opens a powerful gateway for studying the history of plant evolution.     

Genetic mutation analysis at early stages of cell line development using next generation sequencing

A central goal for most biopharmaceutical companies is to reduce the development timeline to reach clinical proof of concept. This objective requires the development of tools that ensure the quality of biotherapeutic material destined for the clinic. Recent advances in high throughput protein analytics provide confidence in our ability to assess productivity and product quality attributes at early stages of cell line development. However, one quality attribute has, until recently, been absent from the standard battery of analytical tests facilitating informed choices early in cell line selection: genetic sequence confirmation. Techniques historically used for mutation analysis, such as detailed mass spectrometry, have limitations on the sample number and turnaround times making it less attractive at early stages. Thus, we explored the utility of Next‐Generation Sequencing (NGS) as a solution to address these limitations. Amplicon sequencing is one such NGS technique that is robust, rapid, sensitive, and amenable to multiplexing, all of which are essential attributes for our purposes. Here we report a NGS method based upon amplicon sequencing that has been successfully incorporated into our cell line development workflow alongside other high‐throughput protein analytical assays. The NGS method has demonstrated its value by identifying at least one Chinese hamster ovary (CHO) clone expressing a variant form of the biotherapeutic in each of the four clinical programs in which it has been utilized. We believe this sequence confirmation method is essential to safely accelerating the time to clinical proof of concept of biotherapeutics, and guard against delays related to sequence mutations. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:813–817, 2016     

萝卜带柄子叶高频再生体系的建立

以11份萝卜（Raphanus sativus）基因型为材料进行子叶离体培养研究,筛选出具有较高再生率的基因型进行实验,考察基因型、外植体类型、激素配比和苗龄等因素对萝卜再生的影响。结果表明：萝卜离体再生的最佳外植体为全子叶-叶柄,最适苗龄为4天,最适培养基为MS＋6mg·L-16-BA＋0.05mg·L-1NAA,再生率高达86.95%,再生系数为1.80。该研究为进行萝卜遗传转化实验奠定了良好基础。     

重组人维甲酸X受体α的克隆与表达及其与甲状腺受体的结合

维甲酸X受体α(Retinoid X receptor-α,RXR-α)属于核受体家族,在调节基因转录及信号转导方面发挥着重要的作用。为了深入研究RXR-α的生物学作用,文章利用RT-PCR技术扩增了人RXR-α基因,并将其克隆入原核表达载体pQE-30Xa,转化大肠杆菌M15[PREP4],异丙基硫代-β-D-半乳糖苷(IPTG)诱导表达,SDS-PAGE可见与预期大小相符的蛋白条带,Western blotting证实该条带为重组人RXR-α蛋白,并用Ni2-NTA柱进行亲和层析纯化。免疫共沉淀结果显示其具有与TRβ1结合的能力。电泳迁移率改变实验(EMSA)显示RXR-α与TRβ1形成的杂二聚体具有与DNA结合的能力。结果显示,文章已成功建立了重组人RXR-α的大肠杆菌表达系统,表达产物具有很好的生物学活性。     

甜杨低温响应microRNAs的克隆与分析

MicroRNAs (miRNAs)作为一类21碱基左右的非编码小RNAs,参与植物生长发育的调控,并在植物对生物与非生物胁迫的应答过程中发挥重要作用.本研究依据miRNA高度保守特点,利用已公布的毛果杨(Populus trichocarpa)基因组序列设计引物,从甜杨(Populus suaveolens)基因组中克隆获得了12个miRNA基因座序列.序列比对结果表明,这些miRNA基因均为毛果杨低温响应miRNA基因的同源序列.同时,以低温(0℃)处理0～48 h的甜杨幼苗为试材,通过半定量RT-PCR法对miRNA基因的成熟体序列在不同处理时间下的表达谱进行分析,结果显示,大多数miRNA成熟体序列在甜杨低温胁迫下的表达模式与其在毛果杨中的表达极为相似,由此可推测这些保守性miRNAs可能在甜杨和毛果杨两物种对低温胁迫的应答反应中发挥相似的功能,而miR168a、miR168b和miR475a在两物种间表达现象的差异,表明它们可能通过调控多种靶基因而发挥不同作用.本文结果将为进一步研究甜杨基因功能提供基础.