Inactive Atm abrogates DSB repair in mouse cerebellum more than does Atm loss, without causing a neurological phenotype

The genome instability syndrome, ataxia-telangiectasia (A-T) is caused by null mutations in the ATM gene, that lead to complete loss or inactivation of the gene's product, the ATM protein kinase. ATM is the primary mobilizer of the cellular response to DNA double-strand breaks (DSBs) – a broad signaling network in which many components are ATM targets. The major clinical feature of A-T is cerebellar atrophy, characterized by relentless loss of Purkinje and granule cells. In Atm-knockout (Atm-KO) mice, complete loss of Atm leads to a very mild neurological phenotype, suggesting that Atm loss is not sufficient to markedly abrogate cerebellar structure and function in this organism. Expression of inactive (“kinase-dead”) Atm (AtmKD) in mice leads to embryonic lethality, raising the question of whether conditional expression of AtmKD in the murine nervous system would lead to a more pronounced neurological phenotype than Atm loss. We generated two mouse strains in which AtmKD was conditionally expressed as the sole Atm species: one in the CNS and one specifically in Purkinje cells. Focusing our analysis on Purkinje cells, the dynamics of DSB readouts indicated that DSB repair was delayed longer in the presence of AtmKD compared to Atm loss. However, both strains exhibited normal life span and displayed no gross cerebellar histological abnormalities or significant neurological phenotype. We conclude that the presence of AtmKD is indeed more harmful to DSB repair than Atm loss, but the murine central nervous system can reasonably tolerate the extent of this DSB repair impairment. Greater pressure needs to be exerted on genome stability to obtain a mouse model that recapitulates the severe A-T neurological phenotype

Governance Infrastructure and Location of Foreign Direct Investment in the People’s Republic of China

Standard neoclassical theory predicts that capital should flow from rich to poor countries. However, Lucas (1990) points out that these capital flows are actually very modest, and nowhere near the levels predicted by theory. The People's Republic of China (PRC) now receives more foreign capital in the form of foreign direct investment (FDI) than any other country, but statistics indicate that this inward FDI flows unequally to different regions. In this study, using hand-collected data on FDI for more than 200 cities, we examine whether the Lucas paradox of capital exists within the PRC. We adopt the dynamic panel data generalized method of moments (GMM) framework to avoid the potential endogeneity issue. Using both provincial- and city-level data, the empirical results show that FDI flows to the PRC, as proxied by total gross domestic product (GDP) and per capita GDP, favor rich regions over poor regions. We also find that regional economic growth has no significant impact on FDI. These findings support the existence of the Lucas paradox in the PRC. We demonstrate that this paradox is not driven by government policy and explore possible explanations for its existence

Clustering daily patterns of human activities in the city

Data mining and statistical learning techniques are powerful analysis tools yet to be incorporated in the domain of urban studies and transportation research. In this work, we analyze an activity-based travel survey conducted in the Chicago metropolitan area over a demographic representative sample of its population. Detailed data on activities by time of day were collected from more than 30,000 individuals (and 10,552 households) who participated in a 1-day or 2-day survey implemented from January 2007 to February 2008. We examine this large-scale data in order to explore three critical issues: (1) the inherent daily activity structure of individuals in a metropolitan area, (2) the variation of individual daily activities—how they grow and fade over time, and (3) clusters of individual behaviors and the revelation of their related socio-demographic information. We find that the population can be clustered into 8 and 7 representative groups according to their activities during weekdays and weekends, respectively. Our results enrich the traditional divisions consisting of only three groups (workers, students and non-workers) and provide clusters based on activities of different time of day. The generated clusters combined with social demographic information provide a new perspective for urban and transportation planning as well as for emergency response and spreading dynamics, by addressing when, where, and how individuals interact with places in metropolitan areas.Massachusetts Institute of Technology. Dept. of Urban Studies and PlanningUnited States. Dept. of Transportation (Region One University Transportation Center)Singapore-MIT Alliance for Research and Technolog

The genome of cultivated peanut provides insight into legume karyotypes, polyploid evolution and crop domestication

High oil and protein content make tetraploid peanut a leading oil and food legume. Here we report a high-quality peanut genome sequence, comprising 2.54 Gb with 20 pseudomolecules and 83,709 protein-coding gene models. We characterize gene functional groups implicated in seed size evolution, seed oil content, disease resistance and symbiotic nitrogen fixation. The peanut B subgenome has more genes and general expression dominance, temporally associated with long-terminal-repeat expansion in the A subgenome that also raises questions about the A-genome progenitor. The polyploid genome provided insights into the evolution of Arachis hypogaea and other legume chromosomes. Resequencing of 52 accessions suggests that independent domestications formed peanut ecotypes. Whereas 0.42–0.47 million years ago (Ma) polyploidy constrained genetic variation, the peanut genome sequence aids mapping and candidate-gene discovery for traits such as seed size and color, foliar disease resistance and others, also providing a cornerstone for functional genomics and peanut improvement

Prevalence and trend of hepatitis C virus infection among blood donors in Chinese mainland: a systematic review and meta-analysis

<p>Abstract</p> <p>Background</p> <p>Blood transfusion is one of the most common transmission pathways of hepatitis C virus (HCV). This paper aims to provide a comprehensive and reliable tabulation of available data on the epidemiological characteristics and risk factors for HCV infection among blood donors in Chinese mainland, so as to help make prevention strategies and guide further research.</p> <p>Methods</p> <p>A systematic review was constructed based on the computerized literature database. Infection rates and 95% confidence intervals (95% CI) were calculated using the approximate normal distribution model. Odds ratios and 95% CI were calculated by fixed or random effects models. Data manipulation and statistical analyses were performed using STATA 10.0 and ArcGIS 9.3 was used for map construction.</p> <p>Results</p> <p>Two hundred and sixty-five studies met our inclusion criteria. The pooled prevalence of HCV infection among blood donors in Chinese mainland was 8.68% (95% CI: 8.01%-9.39%), and the epidemic was severer in North and Central China, especially in Henan and Hebei. While a significant lower rate was found in Yunnan. Notably, before 1998 the pooled prevalence of HCV infection was 12.87% (95%CI: 11.25%-14.56%) among blood donors, but decreased to 1.71% (95%CI: 1.43%-1.99%) after 1998. No significant difference was found in HCV infection rates between male and female blood donors, or among different blood type donors. The prevalence of HCV infection was found to increase with age. During 1994-1995, the prevalence rate reached the highest with a percentage of 15.78% (95%CI: 12.21%-19.75%), and showed a decreasing trend in the following years. A significant difference was found among groups with different blood donation types, Plasma donors had a relatively higher prevalence than whole blood donors of HCV infection (33.95% <it>vs </it>7.9%).</p> <p>Conclusions</p> <p>The prevalence of HCV infection has rapidly decreased since 1998 and kept a low level in recent years, but some provinces showed relatively higher prevalence than the general population. It is urgent to make efficient measures to prevent HCV secondary transmission and control chronic progress, and the key to reduce the HCV incidence among blood donors is to encourage true voluntary blood donors, strictly implement blood donation law, and avoid cross-infection.</p

The genome of cultivated peanut provides insight into legume karyotypes, polyploid evolution and crop domestication

High oil and protein content make tetraploid peanut a leading oil and food legume. Here we report a high-quality peanut genome sequence, comprising 2.54 Gb with 20 pseudomolecules and 83,709 protein-coding gene models. We characterize gene functional groups implicated in seed size evolution, seed oil content, disease resistance and symbiotic nitrogen fixation. The peanut B subgenome has more genes and general expression dominance, temporally associated with long-terminal-repeat expansion in the A subgenome that also raises questions about the A-genome progenitor. The polyploid genome provided insights into the evolution of Arachis hypogaea and other legume chromosomes. Resequencing of 52 accessions suggests that independent domestications formed peanut ecotypes. Whereas 0.42–0.47 million years ago (Ma) polyploidy constrained genetic variation, the peanut genome sequence aids mapping and candidate-gene discovery for traits such as seed size and color, foliar disease resistance and others, also providing a cornerstone for functional genomics and peanut improvement

Development of immunoglobulin k-chain-positive B cells, but not editing of immunoglobulin j-chain, depends on NF-jB signals A R T I C L E S

By genetically ablating IjB kinase (IKK)-mediated activation of the transcription factor NF-jB in the B cell lineage and by analyzing a mouse mutant in which immunoglobulin k-chain-positive B cells are generated in the absence of rearrangements in the locus encoding immunoglobulin j-chain, we define here two distinct, consecutive phases of early B cell development that differ in their dependence on IKK-mediated NF-jB signaling. During the first phase, in which NF-jB signaling is dispensable, predominantly j-chain-positive B cells are generated, which undergo efficient receptor editing. In the second phase, predominantly k-chain-positive B cells are generated whose development is ontogenetically timed to occur after rearrangements of the locus encoding j-chain. This second phase of development is dependent on NF-jB signals, which can be substituted by transgenic expression of the prosurvival factor Bcl-2. It is well established that the NF-kB family of transcription factors is critical to B cell physiology 1,2 . Activation of NF-kB by the alternative pathway, which is mediated by NF-kB-inducing kinase and the inhibitor of NF-kB kinase 1 (IKK1; A001170) downstream of interactions between B cell-activation factor of the tumor necrosis factor family (BAFF) and BAFF-receptor, is essential for mature B cell survival 3 . In addition, mature B cells depend on continuous signaling through the canonical NF-kB pathway, in which activation of the IKK complex, which consists of IKK1, IKK2 (A001172) and NF-kB essential modulator (NEMO; A001628), is central 1 . In contrast, the function of NF-kB signaling in B cell development remains unclear 1 and is indeed highly controversial. Initial experiments addressed that issue in mice lacking one or two individual NF-kB transcription factors. Whereas the generation of mature B cells is generally impaired in most of these mutant mice, the effects are often mild in B cell progenitors and it has remained unresolved whether these defects are B cell autonomous 2 . Notably, genetic ablation of the BAFF-receptor or IKK1 seems not to affect B cell development in the bone marrow, at least in terms of proportions of cells at the various developmental stages 1,3 ; the same is true for ablation of the canonical pathway by knockout of IKK2 or NEMO specifically in B cell