A Genetic Analysis of the Werner Syndrome Region on Human Chromosome 8p

Werner syndrome (WRN) is an inherited disorder that produces symptoms of premature aging. This disease is caused by a recessive mutation that has previously been mapped to chromosome 8p. We have now used genetic linkage analysis to map the WRN gene relative to chromosome 6 reference loci, to screen candidate genes, and to identify a novel dinucleotide repeat polymorphic marker closely linked to WRN. The WRN locus was mapped relative to the marker loci, PLAT, ANK1, D8S135, and D8S87 of the comprehensive chromosome 8 linkage map. The heregulin (HRG) and the fibroblast growth factor receptor 1 genes (FGFR1) have been mapped to chromosome 8p and are involved in cellular growth. Recombination events were detected between WRN and the HRG and FGFR1 genes, excluding them as candidates for the WRN gene. A polymorphic marker generated in this study, WT251, is linked to WRN at a recombination fraction of 0.006, with a lod score of 16.5.     

A Comparison of Statistical Methods for Identifying Out-of-Date Systematic Reviews

Background

Systematic reviews (SRs) can provide accurate and reliable evidence, typically about the effectiveness of health interventions. Evidence is dynamic, and if SRs are out-of-date this information may not be useful; it may even be harmful. This study aimed to compare five statistical methods to identify out-of-date SRs.

Methods

A retrospective cohort of SRs registered in the Cochrane Pregnancy and Childbirth Group (CPCG), published between 2008 and 2010, were considered for inclusion. For each eligible CPCG review, data were extracted and “3-years previous” meta-analyses were assessed for the need to update, given the data from the most recent 3 years. Each of the five statistical methods was used, with random effects analyses throughout the study.

Results

Eighty reviews were included in this study; most were in the area of induction of labour. The numbers of reviews identified as being out-of-date using the Ottawa, recursive cumulative meta-analysis (CMA), and Barrowman methods were 34, 7, and 7 respectively. No reviews were identified as being out-of-date using the simulation-based power method, or the CMA for sufficiency and stability method. The overall agreement among the three discriminating statistical methods was slight (Kappa = 0.14; 95% CI 0.05 to 0.23). The recursive cumulative meta-analysis, Ottawa, and Barrowman methods were practical according to the study criteria.

Conclusion

Our study shows that three practical statistical methods could be applied to examine the need to update SRs.     

The Multivariate Nonparametric Methods for Identifying Gene Sets with Differential Expression

Background

Gene Set Analysis (GSA) identifies differential expression gene sets amid the different phenotypes. The results of published papers in this filed are inconsistent and there is no consensus on the best method. In this paper two new methods, in comparison to the previous ones, are introduced for GSA.

Methods

The MMGSA and MRGSA methods based on multivariate nonparametric techniques were presented. The implementation of five GSA methods (Hotelling's T², Globaltest, Abs_Cat, Med_Cat and Rs_Cat) and the novel methods to detect differential gene expression between phenotypes were compared using simulated and real microarray data sets.

Results

In a real dataset, the results showed that the powers of MMGSA and MRGSA were as well as Globaltest and Tsai. The MRGSA method has not a good performance in the simulation dataset.

Conclusions

The Globaltest method is the best method in the real or simulation datasets. The performance of MMGSA in simulation dataset is good in small-size gene sets. The GLS methods are not good in the simulated data, except the Med_Cat method in large-size gene sets.     

Gene Order and Co-Transduction in the leu-ara-fol-pyrA Region of the Salmonella typhimurium Linkage Map

The gene order and orientation in the leu-pyrA region of the Salmonella typhimurium linkage map was established by phage P22-mediated transductions. The gene order, in counterclockwise orientation, is leuO-leuA-leuB-leuC-leuD-ara-fol-pyrA. The fol locus is co-transducible with either the ara and leu loci or the pyrA locus, whereas no co-transduction for the ara and pyrA loci can be found.     

The Transcription Map of the 13q14 Region Frequently Deleted in B-cell Chronic Lymphocytic Leukemia

Deletions in the region located between the STS markers D13S1168 and D13S25 on chromosome 13 are the most frequent genomic changes in patients with B-cell chronic lymphocytic leukemia (B-CLL). After sequencing of this region, two novel candidate genes were identified: C13orf1(chromosome 13 open reading frame 1) and PLCC (putative large CLL candidate). Analysis of the repeat distribution revealed two subregions differing in composition of repetitious DNA and gene organization. The interval D13S1168–D13S319 contains 131 Alu repeats accounting for 24.8% of its length, whereas the interval GCT16C05–D13S25, which is no more than 180 kb away from the former one is extremely poor in Alu repeats (4.1% of the total length). Both intervals contain almost the same amount of the LINE-type repeats L1 and L2 (20.3 and 21.24%, respectively). In the chromosomal region studied, 29 Alu repeats were found to belong to the evolutionary young subfamily Y, which is still capable of amplifying. A considerable proportion of repeats of this type with similar nucleotide sequences may contribute to the recombinational activity of the chromosomal region 13q14.3, which is responsible for its rearrangements in some tumors in humans.     

Characterization of a Translocation-Associated Deletion Defines the Candidate Region for the Gene Responsible for Branchio-Oto-Renal Syndrome

Fluorescencein situhybridization analysis of an 8q translocation breakpoint, dir ins(8)(q24.11;q13.3;q21.13), carried by an individual presenting with Branchio-Oto-Renal (BOR) syndrome, resulted in the identification of an associated deletion. The generation of a YAC contig and the isolation of overlapping recombinant P1 and λ phage clones from the region allowed further characterization of this deletion. Its size was estimated to be between 470 and 650 kb, and it was flanked by the two polymorphic markers D8S1060 and D8S1807. This mapping led us to reevaluate the localization of the gene responsible for BOR syndrome and has now focused the search for the BOR gene to within the limits of this deletion.     

Refined Linkage Map of Chromosome 5 in the Region of the Spinal Muscular Atrophy Gene

The genetic map in the region of human chromosome 5 that harbors the gene for autosomal recessive forms of spinal muscular atrophy (SMA) has been refined by a multilocus linkage study in 50 SMA-segregating families. Among six markers spanning 8 cM for combined sexes, four were shown to be tightly linked to the SMA locus. Multipoint linkage analysis was used to establish the best estimate of the SMA gene location. Our data suggest that the most likely location for the SMA locus is between blocks AFM114ye7 (D5S465)/EF5.15 (D5S125) and MAP-1B/JK53 (D5S112) at a sex-combined genetic distance of 2.4 and 1.7 cM, respectively. Thus the SMA gene lies in the 4-cM region between these two blocks. This information is of primary importance for designing strategies for isolating the SMA gene.     

White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods

White-nose syndrome is caused by the fungus Pseudogymnoascus destructans and has killed millions of hibernating bats in North America but the pathophysiology of the disease remains poorly understood. Our objectives were to (1) assess non-destructive diagnostic methods for P. destructans infection compared to histopathology, the current gold-standard, and (2) to evaluate potential metrics of disease severity. We used data from three captive inoculation experiments involving 181 little brown bats (Myotis lucifugus) to compare histopathology, quantitative PCR (qPCR), and ultraviolet fluorescence as diagnostic methods of P. destructans infection. To assess disease severity, we considered two histology metrics (wing area with fungal hyphae, area of dermal necrosis), P. destructans fungal load (qPCR), ultraviolet fluorescence, and blood chemistry (hematocrit, sodium, glucose, pCO₂, and bicarbonate). Quantitative PCR was most effective for early detection of P. destructans, while all three methods were comparable in severe infections. Correlations among hyphae and necrosis scores, qPCR, ultraviolet fluorescence, blood chemistry, and hibernation duration indicate a multi-stage pattern of disease. Disruptions of homeostasis occurred rapidly in late hibernation. Our results provide valuable information about the use of non-destructive techniques for monitoring, and provide novel insight into the pathophysiology of white-nose syndrome, with implications for developing and implementing potential mitigation strategies.     

基因载体图谱的阅读

载体（vector）是基因工程运载基因的工具,也成为分子生物学研究的常用工具之一。随着基因工程技术的发展,载体的种类也越来越多。介绍了载体的分类、特点,载体的基本要素,并对常见的质粒载体、病毒载体图谱的识别等作了介绍。     

Fine Structure Genetic and Physical Map of the Gene 3 to 10 Region of the Bacteriophage P22 Chromosome

The mechanism by which dsDNA is packaged by viruses is not yet understood in any system. Bacteriophage P22 has been a productive system in which to study the molecular genetics of virus particle assembly and DNA packaging. Only five phage encoded proteins, the products of genes 3, 2, 1, 8 and 5, are required for packaging the virus chromosome inside the coat protein shell. We report here the construction of a detailed genetic and physical map of these genes, the neighboring gene 4 and a portion of gene 10, in which 289 conditional lethal amber, opal, temperature sensitive and cold sensitive mutations are mapped into 44 small (several hundred base pair) intervals of known sequence. Knowledge of missense mutant phenotypes and information on the location of these mutations allows us to begin the assignment of partial protein functions to portions of these genes. The map and mapping strains will be of use in the further genetic dissection of the P22 DNA packaging and prohead assembly processes.