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Search Results: 1 - 10 of 15014 matches for " Yuhong Tang "
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Transcriptomic changes induced by acute ozone in resistant and sensitive Medicago truncatula accessions
Michael C Puckette, Yuhong Tang, Ramamurthy Mahalingam
BMC Plant Biology , 2008, DOI: 10.1186/1471-2229-8-46
Abstract: Acute ozone treatment (300 nL L-1 for six hours) led to a reactive oxygen species (ROS) burst in sensitive Jemalong six hours post-fumigation. In resistant JE154 increase in ROS levels was much reduced compared to Jemalong. Based on the results of ROS profiling, time points for microarray analysis were one hour into the ozone treatment, end of treatment and onset of an ozone-induced ROS burst at 12 hours. Replicated temporal transcriptome analysis in these two accessions using 17 K oligonucleotide arrays revealed more than 2000 genes were differentially expressed. Significantly enriched gene ontologies (GOs) were identified using the Cluster Enrichment analysis program. A striking finding was the alacrity of JE154 in altering its gene expression patterns in response to ozone, in stark contrast to delayed transcriptional response of Jemalong. GOs involved in signaling, hormonal pathways, antioxidants and secondary metabolism were altered in both accessions. However, the repertoire of genes responding in each of these categories was different between the two accessions. Real-time PCR analysis confirmed the differential expression patterns of a subset of these genes.This study provided a cogent view of the unique and shared transcriptional responses in an ozone-resistant and sensitive accession that exemplifies the complexity of oxidative signaling in plants. Based on this study, and supporting literature in Arabidopsis we speculate that plants sensitive to acute ozone are impaired in perception of the initial signals generated by the action of this oxidant. This in turn leads to a delayed transcriptional response in the ozone sensitive plants. In resistant plants rapid and sustained activation of several signaling pathways enables the deployment of multiple mechanisms for minimizing the toxicity effect of this reactive molecule.Ozone, a major component of smog in the troposphere, is hazardous to life due to its oxidative nature [1,2]. In ozone-sensitive plants acute e
Modulation of redox homeostasis under suboptimal conditions by Arabidopsis nudix hydrolase 7
Niranjani Jambunathan, Anuradha Penaganti, Yuhong Tang, Ramamurthy Mahalingam
BMC Plant Biology , 2010, DOI: 10.1186/1471-2229-10-173
Abstract: We identified a novel conditional phenotype of Atnudt7-1 knockout plants that was contingent upon nutrient composition of potting mix. In nutrient-rich Metro-Mix, there were no phenotypic differences between mutant and wild-type (WT) plants. In the nutrient-poor mix (12 parts vermiculite: 3 parts Redi-earth and 1 part sand), mutant plants showed the characteristic stunted phenotype. Compared with WT plants, levels of glutathione, NAD+, NADH, and in turn NADH:NAD+ ratio were higher in Atnudt7-1 plants growing in 12:3:1 potting mix. Infiltrating NADH and ADP-ribose into WT leaves was sufficient to induce AtNUDT7 protein. Constitutive over-expression of AtNudt7 did not alter NADH levels or resistance to pathogens. Transcriptome analysis identified nearly 700 genes differentially expressed in the Atnudt7-1 mutant compared to WT plants grown in 12:3:1 potting mix. In the Atnudt7-1 mutant, genes associated with defense response, proteolytic activities, and systemic acquired resistance were upregulated, while gene ontologies for transcription and phytohormone signaling were downregulated.Based on these observations, we conclude that the differences observed in growth phenotypes of the Atnudt7-1 knockout mutants can be due to differences in the nutrient composition of potting mix. Our data suggests AtNUDT7 plays an important role in maintaining redox homeostasis, particularly for maintaining NADH:NAD+ balance for normal growth and development. During stress conditions, rapid induction of AtNUDT7 is important for regulating the activation of stress/defense signaling and cell death pathways.Pyridine nucleotides (PNs), which include NAD+, NADP+, NADH and NADPH, are ubiquitous coenzymes involved in redox reactions in all organisms [1,2]. In plants, PNs act as developmental cues during the process of seed germination [3] and for transitioning from the vegetative to reproductive state [4]. Levels of PNs in plants are altered by light conditions and age of plants [5]. Changes in P
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Michael Centola
BMC Bioinformatics , 2004, DOI: 10.1186/1471-2105-5-53
Abstract: We developed a multistep procedure for analysis of mRNA expression data that robustly identifies the additive noise in a microarray experiment. This analysis is predicated on the fact that additive noise signals can be accurately identified by both distribution and statistical analysis.Identification of additive noise in this manner allows exclusion of noncorrelated weak signals from regression-based normalization of compared profiles thus maximizing the accuracy of these methods. Moreover, genes expressed at very low levels can be clearly identified due to the fact that their expression distribution is stable and distinguishable from the random pattern of additive noise.Microarrays are powerful and cost-effective tools for large-scale analysis of gene expression. While the utility of this technology has been established [1,2], analytical methods are evolving and a matter of contention. Key among the more controversial aspects is the treatment of data from weak spots, which significantly influences outcomes. For example, ratio analysis is commonly employed to determine expression differences between two samples. However any procedure that uses raw intensities to infer relative expression is limited due to the fact that accuracy is signal level dependent, with variation increasing dramatically for low intensity signals [1,3]. Several methods have been developed to diminish the influence of additive noise. One solution is to ignore any genes whose transcripts are present at a low total abundance, to exclude weak spots – arbitrarily (in Kooperberg etal., [3] an intensity cutoff was used such that the relative error in ratios was less than 25%) or with some statistical procedures [4,5]. Other methods proposed for discriminating expressed genes from those not expressed, such as the method of Greller and Tobin [6], are suitable only for bimodal distributions in which the distribution of intensities for these two subsets are non-overlapping, unlike many empirical data sets
An Energy-Based Stochastic Model for Wireless Sensor Networks  [PDF]
Yuhong Zhang, Wei Li
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.39035
Abstract: We propose an energy-based stochastic model of wireless sensor networks (WSNs) where each sensor node is randomly and alternatively in an active and a sleep mode. We first investigate the sensor model and derive the formula of the steady-state probability when there are a number of data packets in different sensor modes. We then determine important sensor’s performance measures in terms of energy consumptions, average data delay and throughput. The novelty of this paper is in its development of a stochastic model in WSN with active/sleep feature and the explicit results obtained for above mentioned energy consumption and performance characteristics. These results are expected to be useful as the fundamental results in the theoretical analysis and design of various hybrid WSNs with power mode consideration.
Optimal Choice of Cotton Subsidy Mode in China—Empirical Study Based on Principal Component Regression  [PDF]
Jianzhong Shi, Yuhong Li
Modern Economy (ME) , 2013, DOI: 10.4236/me.2013.47050
Abstract:

Adopt principal component regression for researching the optimal subsidy mode of cotton production in China. The result indicates that, from the perspective of economic stimulatory effect, the optimal cotton subsidy in China is farm chemical subsidy rather than seed subsidy. The reason is that there are frequent pest disasters in cotton producing areas in China. So farm chemical subsidy is the most important factor ensuring cotton production. Meanwhile, cotton varieties must be optimized and improved to increase the ability to resist pests and diseases, and the forecasting for pests and diseases in cotton production areas must be enhanced, early warning mechanism and monitoring must be built, and in addition, it is strongly recommended that if financial resources allow, subsidies like seed subsidy, fertilizer subsidy, machinery subsidy and irrigation subsidy could also put into effect in China.

A Study on Consumer Behavior of Commercial Health and Fitness Club—A Case of Consumers in Liverpool  [PDF]
Wen Zhang, Yuhong Li
American Journal of Industrial and Business Management (AJIBM) , 2014, DOI: 10.4236/ajibm.2014.41010
Abstract:

Commercial health & fitness clubs are providing an important kind of sporting service. On the basis of questionnaires and interviews with relevant research results, consumers of health & fitness clubs in Liverpool area are studied about their structures including ages, genders, etc., motivation of consumption, and consumption level as well as demand characteristics. Through impressing on the wheel of consumer behavior model, the factors affecting consumer behavior are also analyzed. The most predictable and accessible segments like young adult, affluent, health or appearance conscious consumers are concluded; their lifestyles easily integrate to leisure activities, and time pressure or financial costs are their key concerns. Targeting marketing strategies of the clubs are suggested accordingly in order to design service channel, price reasonably, communicate with consumers and provide satisfying environment.

The Analysis of the Investment Climate in China after the Financial Crisis  [PDF]
Yuhong Cheng, Jing Lu
Open Journal of Social Sciences (JSS) , 2015, DOI: 10.4236/jss.2015.312017
Abstract: Is Chinese investment climate worse off after the financial crisis? Has the investment climate structure in China changed? Based on these two questions, by comparing the investment situation between 2007 and 2013 in different provinces and cities, the paper uses principal component analysis and cluster analysis from province, cluster and region perspectives to study the regional investment climate changes in China after the financial crisis. The study shows that after the financial crisis the general investment climate does not have huge changes. The east, middle, and west regions have significant differences, among which there is better investment climate in the east region, the evolvement in the middle region is distinct, whilst the improvement from the west region is less. This paper also gives a few political suggestions towards the results.
Viewpoint Makes Meaninglessness Meaningful  [PDF]
Yunfeng Shi, Yuhong Xie
Open Journal of Modern Linguistics (OJML) , 2016, DOI: 10.4236/ojml.2016.66038
Abstract: What makes some seemingly meaningless sentences frequently useful in the daily communication and thus meaningful? This paper proposes an innovative perspective of studying pragmatic meaning via considering the language users’ viewpoint, which influences and determines the extent of subjectivity in choosing appropriate meaning among multiple layers of meaning. It is argued that viewpoint makes vague or even meaningless language meaningful in that meaning is, first of all, multilayered; then it is optional and subjective, and finally it is chosen from all the possible options of meaning or meaning potential with regard to the language user’s various kinds of viewpoints.
Viewpoint in Garden Path Sentence: A Functional Approach  [PDF]
Yunfeng Shi, Yuhong Xie
Open Journal of Modern Linguistics (OJML) , 2017, DOI: 10.4236/ojml.2017.71003
Abstract: Garden path sentence is a kind of complex sentence which may cause structural and semantic ambiguity. Psycholinguistic analysis is the conventional approach to it. This paper will survey garden path sentence via viewpoint analysis within a systemic functional linguistic frame. In another word, garden path sentence will be discussed in term of lexicogrammar, clause complex, transitivity, theme and rheme, and cohesion and their relationship with viewpoint. It is expected that this approach will help to the interpretation and disambiguation of garden path sentences. Garden path effect attributes to polysemy of lexis, syntactic structure and sentence reader’s viewpoint.
Rethinking the Optimal City Size from the Perspective of the City Network  [PDF]
Yuhong Cheng, Chujun Ma
Open Journal of Social Sciences (JSS) , 2017, DOI: 10.4236/jss.2017.55010
Abstract: The optimal city size is an intuitive and clear indicator of whether the current state of the city is efficient. So it is determined by the internal factors of the city and the way they are organized if the city operates as a container only. In the picture where the city network has become a normality of the existing economic organizations, the optimal city size theory, including the concept, the mechanism and the path need to be rethought. Therefore, this paper starts from the essential concept of optimal city size and analyzes the influences of urban network on urban production and internal attribute characteristics, and further briefly analyzes the influence path and mechanism of the urban network on the optimal city size.
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