Unmodified oligodeoxynucleotides require single-strandedness to induce targeted repair of a chromosomal EGFP gene

BACKGROUND: A number of genetic defects in humans are due to point mutations in a single, often tightly regulated gene. Genetic treatment of such defects is preferably done by correcting only the altered base pair at the endogenous locus rather than by a gene replacement strategy involving viral vectors. Promisingly high repair rates have been achieved in some systems with the non-viral approach of transfecting chimeric RNA/DNA oligonucleotides (chimeraplasts). However, since this technique does not yet perform robustly, several parameters thought to be important in oligonucleotide-mediated gene repair were examined. METHODS: A series of transgenic HEK-293 cell clones has been established harboring high or low copy numbers of a point-mutated 'enhanced green fluorescent protein' (EGFP) gene as the target. At the level of single living cells, repair efficiencies were measured by fluorescence-activated cell sorting (FACS) regarding topology (single-stranded, double-stranded), exonuclease protection (four phosphorothioate linkages at both ends), polarity (sense, antisense), and length (13mer, 19mer, 35mer, 69mer) of the oligonucleotide. RESULTS: When targeting chromosomal loci, up to 0.2% corrected cells were obtained with single-stranded unmodified oligodeoxynucleotides, whereas a chimeraplast, its DNA analogue, and double-stranded DNA fragments were practically non-functional. Correction efficiencies correlated with target gene copy numbers. Modifying exonuclease resistance, polarity or length of single-stranded oligodeoxynucleotides did not enhance repair efficacy above the sub-percentage range. CONCLUSIONS: Successful chromosomal reporter gene repair in HEK-293 cells required an oligodeoxynucleotide to be single-stranded. In concert with the gene copy number correlation, functional interaction between the repair molecule and the target site seems to be one bottleneck in targeted gene repair.     

Performance of differential GPS collars in temperate mountain forest

To determine the performance of Global Positioning System (GPS) for habitat studies in free-ranging animals, we tested differential 6- and 8-channel GPS collars under six representative canopies and one open-field reference site in the 'Parc national des Cévennes', southern France. The proportion of successful locations decreased under taller trees and worsened with snow accumulation in mixed coniferous habitats. The mean location success of seven free-ranging red deer fitted with 6-channel GPS collars in the same study area increased with a shorter interval between location attempts and during the leaf-off period. Our data suggested that the differences in location success between leaf-on and leaf-off periods might reflect shifts in habitat use rather than a leaf effect under deciduous trees.     

Small Sample Properties of the Mantel-Haenszel Test Statistic for Density Follow-Up Studies

For the analysis of combinations of 2×2 non-contingency tables as obtained from density follow-up studies (relating a number of events to a number of person-years of follow-up) an analogue of the Mantel-Haenszel test for 2×2 contingency tables is widely used. In this paper the small sample properties of this test, both with and without continuity correction, are evaluated. Also the improvement of the test-statistic by using the first four cumulants via the Edgeworth expansion was studied. Results on continuity correction agree with similar studies on the Mantel-Haenszel statistic for 2×2 contingency tables: Continuity correction gives a p-value which approximates the exact p-value better than the p-value obtained without this correction; both the exact test and its approximations show considerable conservatism in small samples; the uncorrected Mantel-Haenszel test statistic gives a p-value that agrees more with the nominal significance level, but can be anti-conservative. The p-value based on the first four cumulants gives a better approximation of the exact p-value than the continuity corrected test, especially when the distribution has marked skewness.     

A hybrid image processing system for X-ray images of an external fixator

In the field of orthopaedics, treatment of extremity deformities can be realised by means of external fixators. However, control of such biomedical system is very difficult. Some different mathematical models have been developed to improve quality of this service. Most of the parameters, which are used in these models, have been obtained from two orthogonal X-ray images: one from anteroposterior, AP, direction and the other from a lateral, L, direction. The quality of the results of this model is dependent on the accuracy of the input parameters. Measuring these parameters is a time-consuming issue, and the accuracy of the results is also low. To increase the quality of the measurement, the reference points should be chosen from the edges of the biomedical system, and it is important to find the edges without noise. To achieve this purpose, Sobel edge detector, binary large object analysis, thresholding and inverting are applied as image processing steps. The results are compared with manual measurement values which have been obtained earlier. The results show that semi-automatic measurement of the parameters is more accurate and faster than manual measurement. It shows that the efficiency of the fixator method has been improved.     

Automated CT bone segmentation using statistical shape modelling and local template matching

Abstract

Accurate CT bone segmentation is essential to develop chair-side manufacturing of implants based on additive manufacturing. We herewith present an automated method able to accurately segment challenging bone regions, while simultaneously providing anatomical correspondences. The method was evaluated on demanding regions: normal and osteoarthritic scapulae, healthy and atrophied mandibles, and orbital bones. On average, results were accurate with surface distances of approximately 0.5?mm and average Dice coefficients >90%. Since anatomical correspondences are propagated during the segmentation process, this approach can directly yield anatomical measurements, provide design parameters for personalized surgical instruments, or determine the bone geometry to manufacture patient-specific implants.     

Are the numbers adding up? Exploiting discrepancies among complementary population models

Large carnivores are difficult to monitor because they tend to be sparsely distributed, sensitive to human activity, and associated with complex life histories. Consequently, understanding population trend and viability requires conservationists to cope with uncertainty and bias in population data. Joint analysis of combined data sets using multiple models (i.e., integrated population model) can improve inference about mechanisms (e.g., habitat heterogeneity and food distribution) affecting population dynamics. However, unobserved or unobservable processes can also introduce bias and can be difficult to quantify. We developed a Bayesian hierarchical modeling approach for inference on an integrated population model that reconciles annual population counts with recruitment and survival data (i.e., demographic processes). Our modeling framework is flexible and enables a realistic form of population dynamics by fitting separate density-dependent responses for each demographic process. Discrepancies estimated from shared parameters among different model components represent unobserved additions (i.e., recruitment or immigration) or removals (i.e., death or emigration) when annual population counts are reliable. In a case study of gray wolves in Wisconsin (1980–2011), concordant with policy changes, we estimated that a discrepancy of 0% (1980–1995), −2% (1996–2002), and 4% (2003–2011) in the annual mortality rate was needed to explain annual growth rate. Additional mortality in 2003–2011 may reflect density-dependent mechanisms, changes in illegal killing with shifts in wolf management, and nonindependent censoring in survival data. Integrated population models provide insights into unobserved or unobservable processes by quantifying discrepancies among data sets. Our modeling approach is generalizable to many population analysis needs and allows for identifying dynamic differences due to external drivers, such as management or policy changes.     

Generation of fertile offspring from Kitw/Kitwv mice through differentiation of gene corrected nuclear transfer embryonic stem cells

Genetic mutations could cause sperm deficiency, leading to male infertility. Without functional gametes in the testes, patients cannot produce progeny even with assisted reproduction technologies such as in vitro fertilization. It has been a major challenge to restore the fertility of gamete-deficient patients due to genetic mutations. In this study, using a Kit^w/Kit^wv mouse model, we investigated the feasibility of generating functional sperms from gamete-deficient mice by combining the reprogramming and gene correcting technologies. We derived embryonic stem cells from cloned embryos (ntESCs) that were created by nuclear transfer of Kit^w/Kit^wv somatic cells. Then we generated gene-corrected ntESCs using TALEN-mediated gene editing. The repaired ntESCs could further differentiate into primordial germ cell-like cells (PGCLCs) in vitro. RFP-labeled PGCLCs from the repaired ntESCs could produce functional sperms in mouse testes. In addition, by co-transplantation with EGFP-labeled testis somatic cells into the testes where spermatogenesis has been chemically damaged or by transplantation into Kit^w/Kit^wv infertile testes, non-labeled PGCLCs could also produce haploid gametes, supporting full-term mouse development. Our study explores a new path to rescue male infertility caused by genetic mutations.