Towards therapeutic applications of engineered zinc finger proteins

It has long been the goal of molecular biologists to design DNA-binding proteins for the specific control of gene expression. The zinc finger design is ideally suited for such purposes, discriminating between closely related sequences both in vitro and in vivo. Whereas other DNA-binding proteins generally make use of the 2-fold symmetry of the double helix, zinc fingers do not and so can be linked linearly in tandem to recognize DNA sequences of different lengths, with high fidelity. This modular design offers a large number of combinatorial possibilities for the specific recognition of DNA. By fusing zinc finger peptides to repression or activation domains, genes can be selectively targeted and switched off and on. Several recent applications of such engineered zinc finger proteins (ZFPs) are described, including the activation of vascular endothelial growth factor (VEGF) in a human cell line and an animal model. Clinical trials have recently begun on using VEGF-activating ZFPs to treat human peripheral arterial disease, by stimulating vascular growth. Also in progress are pre-clinical studies using ZFPs to target the defective genes in two monogenic disorders, SCID and SCA. The aim is to replace them in each case by a correct copy from an extrachromosomal DNA donor by means of homologous recombination. Promising results are reported.     

Estimating local interaction from spatiotemporal forest data, and Monte Carlo bias correction

We point out a general problem in fitting continuous time spatially explicit models to a temporal sequence of spatial data observed at discrete times. To illustrate the problem, we examined the continuous time Markov model for forest gap dynamics. A forest is assumed to be apportioned into discrete cells (or sites) arranged in a regular square lattice. Each site is characterized as either a gap or a non-gap site according to the vegetation height of trees. The model incorporates the influence of neighboring sites on transition rate: transition rate from a non-gap to a gap site increases linearly with the number of neighbors that are currently in the gap state, and vice versa. We fitted the model to the spatiotemporal data of canopy height observed at the permanent plot in Barro Colorado Island (BCI). When we used the approximate maximum likelihood method to estimate the parameters of the model, the estimated transition rates included a large bias-in particular, the strength of interaction between nearby sites was underestimated. This bias originated from the assumption that each transition between two observation times is independent. The interaction between sites at local scale creates a long chain of transitions within a single census interval, which violates the independence of each transition. We show that a computer-intensive method, called Monte Carlo bias correction (MCBC), is very effective in removing the bias included in the estimate. The global and local gap densities measuring spatial aggregation of gap sites were computed from simulated and real gap dynamics to assess the model. When the approximate likelihood estimates were applied to the model, the predicted local gap density was clearly lower than the observed one. The use of MCBC estimates, suggesting a strong interaction between sites, improved this discrepancy.     

Bias correction for estimated QTL effects using the penalized maximum likelihood method

A penalized maximum likelihood method has been proposed as an important approach to the detection of epistatic quantitative trait loci (QTL). However, this approach is not optimal in two special situations: (1) closely linked QTL with effects in opposite directions and (2) small-effect QTL, because the method produces downwardly biased estimates of QTL effects. The present study aims to correct the bias by using correction coefficients and shifting from the use of a uniform prior on the variance parameter of a QTL effect to that of a scaled inverse chi-square prior. The results of Monte Carlo simulation experiments show that the improved method increases the power from 25 to 88% in the detection of two closely linked QTL of equal size in opposite directions and from 60 to 80% in the identification of QTL with small effects (0.5% of the total phenotypic variance). We used the improved method to detect QTL responsible for the barley kernel weight trait using 145 doubled haploid lines developed in the North American Barley Genome Mapping Project. Application of the proposed method to other shrinkage estimation of QTL effects is discussed.     

Highly multiplexed targeted proteomics using precise control of peptide retention time

Large-scale proteomics applications using SRM analysis on triple quadrupole mass spectrometers present new challenges to LC-MS/MS experimental design. Despite the automation of building large-scale LC-SRM methods, the increased numbers of targeted peptides can compromise the balance between sensitivity and selectivity. To facilitate large target numbers, time-scheduled SRM transition acquisition is performed. Previously published results have demonstrated incorporation of a well-characterized set of synthetic peptides enabled chromatographic characterization of the elution profile for most endogenous peptides. We have extended this application of peptide trainer kits to not only build SRM methods but to facilitate real-time elution profile characterization that enables automated adjustment of the scheduled detection windows. Incorporation of dynamic retention time adjustments better facilitate targeted assays lasting several days without the need for constant supervision. This paper provides an overview of how the dynamic retention correction approach identifies and corrects for commonly observed LC variations. This adjustment dramatically improves robustness in targeted discovery experiments as well as routine quantification experiments.     

Robust spectral estimation for speed of sound with phase shift correction applied online in yeast fermentation processes

Ultrasound techniques are well suited to provide real‐time characterization of bioprocesses in non‐invasive, non‐contact, and non‐destructive low‐power consumption measurements. In this paper, a spectral analysis method was proposed to estimate time of flight (TOF) between the propagated echoes, and its corresponding speed of sound (USV). Instantaneous power spectrum distribution was used for accurate detection of echo start times, and phase shift distribution for correcting the involved phase shifts. The method was validated by reference USV for pure water at 9–30.8°C, presenting a maximum error of 0.22%, which is less than that produced by the crosscorrelation method. Sensitivity analyses indicated a precision of 6.4 × 10^?3% over 50 repeated experiments, and 0.11% over two different configurations. The method was competently implemented online in a yeast fermentation process, and the calculated USV was combined with temperature and nine signal features in an artificial neural network. The network was designed by back propagation algorithm to estimate the instantaneous density of the fermentation mixture, producing a maximum error of 0.95%.     

棉铃虫羽化高峰期有效积温预测法的校正

为减小年际间气温变化对昆虫有效积温预测误差的影响,以新疆石河子垦区121团棉铃虫Helicoverpa armigera(Hübner)羽化高峰期为例,利用single sine模型分别计算12年2种有效积温范围(10～30℃和10～35℃)的累计有效积温值,并获得其多年平均值,依此进行棉铃虫羽化高峰期预测;通过当年与12年(有效积温>0日期至羽化高峰日期)平均气温之差,对预测误差进行校正。结果表明:当年平均气温与12年平均值差值越大,预测误差也越大;各代直线回归校正模型均达到显著水平(P<0.05);2种有效积温范围下,校正后各代平均预测误差天数均有所减少,对越冬代误差校正效果最优,校正后各代历史符合率分别为83.33%、100%、100%和100%、100%、93.33%。该校正方法能够显著提高预测准确度,尤其适用于年际间棉铃虫发育期间平均气温变化较大的代别和地区,同时可为多种害虫预测误差校正提供了依据。     

Ecological effects of cell-level processes: genome size,functional traits and regional abundance of herbaceous plant species

Background and Aims

Genome size is known to be correlated with a number of phenotypic traits associated with cell sizes and cell-division rates. Genome size was therefore used as a proxy for them in order to assess how common plant traits such as height, specific leaf area and seed size/number predict species regional abundance. In this study it is hypothesized that if there is residual correlation between genome size and abundance after these traits are partialled out, there must be additional ecological effects of cell size and/or cell-division rate.

Methods

Variation in genome size, plant traits and regional abundance were examined in 436 herbaceous species of central European flora, and relationships were sought for among these variables by correlation and path analysis.

Key Results

Species regional abundance was weakly but significantly correlated with genome size; the relationship was stronger for annuals (R² = 0·145) than for perennials (R² = 0·027). In annuals, genome size was linked to abundance via its effect on seed size, which constrains seed number and hence population growth rate. In perennials, it weakly affected (via height and specific leaf area) competitive ability. These relationships did not change qualitatively after phylogenetic correction. In both annuals and perennials there was an unresolved effect of genome size on abundance.

Conclusions

The findings indicate that additional predictors of regional abundance should be sought among variables that are linked to cell size and cell-division rate. Signals of these cell-level processes remain identifiable even at the landscape scale, and show deep differences between perennials and annuals. Plant population biology could thus possibly benefit from more systematic use of indicators of cell-level processes.     

Cell adhesion molecules contribute to Alzheimer's disease: multiple pathway analyses of two genome-wide association studies

Alzheimer's disease (AD) is a kind of complex neurological disorder. The complex genetic architecture of AD makes genetic analysis difficult. Fortunately, a pathway-based method to study the existing genome-wide association studies datasets has been applied into AD. However, no shared Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway was reported. In this study, we performed multiple pathway analyses of French AD genome-wide association studies dataset (discovery dataset, n = 7360, 2032 cases and 5328 controls) and Pfizer dataset (validation dataset, n = 2220, 1034 cases and 1186 controls). First, we performed multiple pathway analyses by Hypergeometric test, improved gene set enrichment analysis (IGSEA) and Z-statistic test in KEGG. Using Hypergeometric test, we identified 54 and 25 significant pathways (p < 0.05) in discovery dataset and validation dataset, respectively. Using IGSEA method, we identified three significant pathways in both discovery and validation datasets, respectively. Using Z-statistic test, we identified 19 significant pathways in validation dataset. Among the significant pathways, cell adhesion molecules (CAM) pathway was identified to be the only consistent signal emerging across multiple analyses in KEGG. After permutation and multiple testing corrections, CAM pathway was significant with p = 2.40E-05 (Hypergeometric test) and p = 3.00E-03 (IGSEA) in discovery dataset. In validation dataset, CAM pathway was significant with p = 1.84E-06 (Hypergeometric test), p = 1.00E-02 (IGSEA) and p = 2.81E-03 (Z-statistic test). We replicated the association by multiple pathway analyses in Gene Ontology using Hypergeometric test (WebGestalt), modified Fisher's exact test (DAVID) and Binomial test (PANTHER). Our findings provided further evidence on the association between CAM pathway and AD susceptibility, which would be helpful to study the genetic mechanisms of AD and may significantly assist in the development of therapeutic strategies.     

不同打靶位点影响人诱导多能干细胞MYO7A杂合突变位点的基因校正中CRISPR/Cas9介导的同源重组效率

应用CRISPR-Cas9系统对人诱导多能干细胞（human induced pluripotent stem cells, hiPSCs）进行基因编辑,为疾病模型的建立、致病机制研究、药物筛选及基因校正治疗疾病提供了更广阔的平台。相对于CRISPR-Cas9介导的基因敲除,应用该系统介导的同源重组实现基因点突变或突变校正效率要低、且难度偏大。为了实现对MYO7A杂合点突变（c.4118C>T）的人iPSCs的点突变校正,本文构建了表达maxGFP的pX330质粒。针对需校正的突变位点,设计5组识别序列并连接到maxGFP-pX330中构建靶向质粒。将5组打靶质粒分别转染HEK 293FT细胞48 h,细胞表达GFP;测序结果显示,MYO7A基因相应位点出现杂峰,表明打靶质粒具有打断活性。将同源模版单链寡核苷酸链（single-stranded DNA oligonucleotides, ssODN）与打靶质粒共同电转入人iPSCs后48 h,经流式分选出(5.8±2.2)%的细胞表达GFP。分选后细胞行单克隆扩增并测序。结果显示,打靶质粒1和ssODN组合对点突变校正未成功;打靶质粒2、3、4、5与ssODN组合均获得了校正后的细胞株。本研究表明,打断位点是影响同源重组校正效率的关键因素。当应用CRISPR/Cas9（或其它核酸酶）介导的同源重组进行基因编辑操作时,可以同时选择多个打靶位点造成基因组不同位置上的双链打断（double-stranded break, DSB）位点,以获得目的单克隆细胞株。本研究为应用CRISPR-Cas9系统对人诱导多能干细胞进行基因编辑提供了有力参考。