Time-dependent, multimode interaction analysis of the gyroklystron amplifier

2016 ◽  
Vol 23 (8) ◽  
pp. 083124 ◽  
Author(s):  
M. V. Swati ◽  
M. S. Chauhan ◽  
P. K. Jain
Keyword(s):  
Interaction Analysis ◽  
Time Dependent ◽  
Gyroklystron Amplifier

scholarly journals Targeting AKT/mTOR and Bcl-2 for Autophagic and Apoptosis Cell Death in Lung Cancer: Novel Activity of a Polyphenol Compound

Antioxidants ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 534
Author(s):  
Sucharat Tungsukruthai ◽  
Onrapak Reamtong ◽  
Sittiruk Roytrakul ◽  
Suchada Sukrong ◽  
Chanida Vinayanwattikun ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Death ◽  
Cancer Cells ◽  
Proteomic Analysis ◽  
Interaction Analysis ◽  
Time Dependent ◽  
The Novel ◽  
Protein Protein Interaction ◽  
Autophagy Induction ◽  
Acidic Vesicle

Autophagic cell death (ACD) is an alternative death mechanism in resistant malignant cancer cells. In this study, we demonstrated how polyphenol stilbene compound PE5 exhibits potent ACD-promoting activity in lung cancer cells that may offer an opportunity for novel cancer treatment. Cell death caused by PE5 was found to be concomitant with dramatic autophagy induction, as indicated by acidic vesicle staining, autophagosome, and the LC3 conversion. We further confirmed that the main death induction caused by PE5 was via ACD, since the co-treatment with an autophagy inhibitor could reverse PE5-mediated cell death. Furthermore, the defined mechanism of action and upstream regulatory signals were identified using proteomic analysis. Time-dependent proteomic analysis showed that PE5 affected 2142 and 1996 proteins after 12 and 24 h of treatment, respectively. The crosstalk network comprising 128 proteins that control apoptosis and 25 proteins involved in autophagy was identified. Protein–protein interaction analysis further indicated that the induction of ACD was via AKT/mTOR and Bcl-2 suppression. Western blot analysis confirmed that the active forms of AKT, mTOR, and Bcl-2 were decreased in PE5-treated cells. Taken together, we demonstrated the novel mechanism of PE5 in shifting autophagy toward cell death induction by targeting AKT/mTOR and Bcl-2 suppression.

scholarly journals A time-dependent nonlinear theory and simulation for gyroklystron amplifier

2012 ◽  
Vol 61 (20) ◽  
pp. 208402
Author(s):  
Ma Jun-Jian ◽  
Zhu Xiao-Fang ◽  
Jin Xiao-Lin ◽  
Hu Yu-Lu ◽  
Li Jian-Qing ◽  
...  
Keyword(s):  
Nonlinear Theory ◽  
Time Dependent ◽  
Gyroklystron Amplifier

scholarly journals A Time-dependent Genome-Wide SNP-SNP Interaction Analysis of Chicken Body Weight

2019 ◽  
Author(s):  
Fang-Ge Li ◽  
Hui Li
Keyword(s):  
Body Weight ◽  
Genetic Interaction ◽  
Interaction Analysis ◽  
Interaction Network ◽  
Genetic Network ◽  
Time Dependent ◽  
Model Organisms ◽  
Multiple Time ◽  
Genome Wide ◽  
Snp Interaction

Abstract Background The important property of the quantitative traits of model organisms is time-dependent. However, the methodology for investigating the genetic interaction network over time is still lacking. Our study aims to provide insights into the mechanistic basis of epistatic interactions affecting the phenotypes of model organisms. Results We performed an exhaustive genome-wide search for significant SNP-SNP interactions associated with male birds’ body weight (BW) (n=475) at multiple time points (day of hatch (BW0) and one, three, five, and seven weeks (BW1, BW3, BW5, and BW7)). Statistical analysis detected 67, four, and two significant SNP pairs associated with BW0, BW1, and BW3, respectively, with a significance threshold at 8.67×10 −12 (Bonferroni-adjusted: 1%). Meanwhile, no significant SNP pairs associated with BW5 and BW7 were found. The SNP-SNP interaction networks of BW0, BW1, and BW3 were built and annotated. Conclusions With strong annotated information and a strict significant threshold, SNP-SNP interactions underpinned the gene-gene interactions that might occur between chromosomes or within the same chromosome. Comparing and combing the networks, the results indicated that the genetic network for chicken body weight was dynamic and time-dependent.

scholarly journals A time-dependent genome-wide SNP-SNP interaction analysis of chicken body weight

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Fang-Ge Li ◽  
Hui Li
Keyword(s):  
Body Weight ◽  
Genetic Interaction ◽  
Interaction Analysis ◽  
Interaction Network ◽  
Genetic Network ◽  
Time Dependent ◽  
Model Organisms ◽  
Multiple Time ◽  
Genome Wide ◽  
Snp Interaction

Abstract Background The important property of the quantitative traits of model organisms is time-dependent. However, the methodology for investigating the genetic interaction network over time is still lacking. Our study aims to provide insights into the mechanistic basis of epistatic interactions affecting the phenotypes of model organisms. Results We performed an exhaustive genome-wide search for significant SNP-SNP interactions associated with male birds’ body weight (BW) (n = 475) at multiple time points (day of hatch (BW0) and 1, 3, 5, and 7 weeks (BW1, BW3, BW5, and BW7)). Statistical analysis detected 67, four, and two significant SNP pairs associated with BW0, BW1, and BW3, respectively, with a significance threshold at 8.67 × 10− 12 (Bonferroni-adjusted: 1%). Meanwhile, no significant SNP pairs associated with BW5 and BW7 were found. The SNP-SNP interaction networks of BW0, BW1, and BW3 were built and annotated. Conclusions With strong annotated information and a strict significant threshold, SNP-SNP interactions underpinned the gene-gene interactions that might occur between chromosomes or within the same chromosome. Comparing and combing the networks, the results indicated that the genetic network for chicken body weight was dynamic and time-dependent.

scholarly journals Incident cardiovascular events and risk of subsequent cancer diagnosis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Fardman ◽  
A Oppenheim ◽  
G.D Banschick ◽  
R Rabia ◽  
S Segev ◽  
...  
Keyword(s):  
Cancer Diagnosis ◽  
Interaction Analysis ◽  
Young Patients ◽  
Time Dependent ◽  
Mortality Data ◽  
Coronary Syndrome ◽  
Increased Risk ◽  
Risk Of Cancer ◽  
Subsequent Cancer

Abstract Background Cardiovascular disease (CVD) and cancer share common risk factors. This study investigated the association of CVD diagnosis and the risk of future cancer. Methods We evaluated asymptomatic self-referred adults aged 40–79 years who participated in a screening program. All subjects were free of CVD and cancer at baseline. CVD was defined as the composite of acute coronary syndrome, percutaneous coronary intervention or stroke. Cancer and mortality data were available for all subjects from national registries. Primary end-point was development of cancer during follow up. Cox regression models were applied with CVD as a time-dependent covariate and death as a competing risk event. Results Final study population included 15,486 subjects. Median age was 50 years (Interquartile range [IQR] 44–55) and 72% were men. During median follow up time of 11 years (IQR 6–15) 1,028 (7%) subjects developed CVD, 1,281 (8%) developed cancer and 499 (3%) died. Most common cancer types were prostate among men (N=277, 1.8%) and breast among women (N=187, 1.2%). Time dependent survival analysis showed that subjects who developed CVD during follow up were 60% more likely to develop cancer (95% Confidence Interval [CI] 1.3–1.95, p<0.001). However, after adjustment for known predictors of cancer, the association of incident CVD with cancer diagnosis was no longer significant (p=0.21). Interaction analysis demonstrated that the association of incident CVD with the risk of future cancer diagnosis was age dependent such that in younger subjects (<50 years; N=7,649) incident CVD was associated with a significant 2 fold increased risk of subsequent cancer diagnosis (95% CI 1.2–3.6, p=0.014) while in older subjects incident CVD was not associated with increased risk of cancer in the multivariable model (p for interaction =0.035; Figure 1). Conclusions Incident CVD is independently associated with 2-fold increased risk of subsequent cancer diagnosis among young adults. Our analysis underscores the importance of cancer surveillance among young patients following a CVD event. Figure 1 Funding Acknowledgement Type of funding source: None

scholarly journals A Time-dependent Genome-Wide SNP-SNP Interaction Analysis of Chicken Body Weight

2019 ◽  
Author(s):  
Fang-Ge Li ◽  
Hui Li
Keyword(s):  
Body Weight ◽  
Genetic Interaction ◽  
Interaction Analysis ◽  
Interaction Network ◽  
Genetic Network ◽  
Time Dependent ◽  
Model Organisms ◽  
Multiple Time ◽  
Genome Wide ◽  
Snp Interaction

Abstract Background The important property of the quantitative traits of model organisms is time-dependent. However, the methodology for investigating the genetic interaction network over time is still lacking. Our study aims to provide insights into the mechanistic basis of epistatic interactions affecting the phenotypes of model organisms. Results We performed an exhaustive genome-wide search for significant SNP-SNP interactions associated with male birds’ body weight (n=475) at multiple time points (day of hatch body weight (BW0) and one, three, five and seven weeks (BW1, BW3, BW5, BW7). Statistical analysis detected 67, 4, and 2 significant SNP pairs associated with BW0, BW1, and BW3, respectively, with a significance threshold at 8.67×10 −12 (Bonferroni-adjusted: 1%). Meanwhile, no significant SNP pairs associated with BW5 and BW7 were found. The SNP-SNP interaction networks of BW0, BW1, and BW3 were built and annotated. Conclusions With strong annotated information and a strict significant threshold, SNP-SNP interactions underpinned the gene-gene interactions that might occur between chromosomes or within the same chromosome. Comparing and combing the networks, the results indicated that the genetic network for chicken body weight was dynamic and time-dependent.

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