Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Virginia Tech" +contributor:("Xing, Jianhua"). Showing records 1 – 14 of 14 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Virginia Tech

1. Zhang, Hang. Theoretical and Computational Studies on the Dynamics and Regulation of Cell Phenotypic Transitions.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2016, Virginia Tech

 Cell phenotypic transitions, or cell fate decision making processes, are regulated by complex regulatory networks composed of genes, RNAs, proteins and metabolites. The regulation can… (more)

Subjects/Keywords: Mathematical Modeling; Epigenetics; Cell Differentiation; Mono-allelic expression; Epithelial-to-Mesenchymal-Transition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhang, H. (2016). Theoretical and Computational Studies on the Dynamics and Regulation of Cell Phenotypic Transitions. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/65159

Chicago Manual of Style (16th Edition):

Zhang, Hang. “Theoretical and Computational Studies on the Dynamics and Regulation of Cell Phenotypic Transitions.” 2016. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/65159.

MLA Handbook (7th Edition):

Zhang, Hang. “Theoretical and Computational Studies on the Dynamics and Regulation of Cell Phenotypic Transitions.” 2016. Web. 27 Feb 2021.

Vancouver:

Zhang H. Theoretical and Computational Studies on the Dynamics and Regulation of Cell Phenotypic Transitions. [Internet] [Doctoral dissertation]. Virginia Tech; 2016. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/65159.

Council of Science Editors:

Zhang H. Theoretical and Computational Studies on the Dynamics and Regulation of Cell Phenotypic Transitions. [Doctoral Dissertation]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/65159


Virginia Tech

2. Jiang, Xiaoshan. A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli.

Degree: MS, Biology, 2012, Virginia Tech

 In each individual cell, there are many signaling pathways that may interact or cross talk with each other. Especially, some can sense the same signal… (more)

Subjects/Keywords: mathematical model; High throughput; systems biology; regulatory network

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jiang, X. (2012). A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/42523

Chicago Manual of Style (16th Edition):

Jiang, Xiaoshan. “A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli.” 2012. Masters Thesis, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/42523.

MLA Handbook (7th Edition):

Jiang, Xiaoshan. “A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli.” 2012. Web. 27 Feb 2021.

Vancouver:

Jiang X. A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/42523.

Council of Science Editors:

Jiang X. A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/42523


Virginia Tech

3. Fu, Yan. Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2012, Virginia Tech

 In the past two decades, molecular cell biology has transitioned from a traditional descriptive science into a quantitative science that systematically measures cellular dynamics on… (more)

Subjects/Keywords: computational modeling; network motifs; LPS priming and tolerance; bacterial phenotypic transition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fu, Y. (2012). Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28414

Chicago Manual of Style (16th Edition):

Fu, Yan. “Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics.” 2012. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/28414.

MLA Handbook (7th Edition):

Fu, Yan. “Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics.” 2012. Web. 27 Feb 2021.

Vancouver:

Fu Y. Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/28414.

Council of Science Editors:

Fu Y. Computational Systems Biology Analysis of Cell Reprogramming and Activation Dynamics. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28414


Virginia Tech

4. Wu, Zhanghan. Understanding molecular and cellular processes using statistical physics.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2011, Virginia Tech

 Using statistical physics principles to solve problems in biology is one of the most promising directions due to the complexity and non-equilibrium fluctuations in biological… (more)

Subjects/Keywords: Microtubule Dynamics; Mathematical Modeling; Enzyme Conformational Changes; Single Molecular Fluctuations

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wu, Z. (2011). Understanding molecular and cellular processes using statistical physics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/27745

Chicago Manual of Style (16th Edition):

Wu, Zhanghan. “Understanding molecular and cellular processes using statistical physics.” 2011. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/27745.

MLA Handbook (7th Edition):

Wu, Zhanghan. “Understanding molecular and cellular processes using statistical physics.” 2011. Web. 27 Feb 2021.

Vancouver:

Wu Z. Understanding molecular and cellular processes using statistical physics. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/27745.

Council of Science Editors:

Wu Z. Understanding molecular and cellular processes using statistical physics. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/27745


Virginia Tech

5. Kappiyoor, Ravi. Mechanical Properties of Elastomeric Proteins.

Degree: PhD, Engineering Mechanics, 2014, Virginia Tech

 When we stretch and contract a rubber band a hundred times, we expect the rubber band to fail. Yet our heart stretches and contracts the… (more)

Subjects/Keywords: Protein elasticity; molecular dynamics; nanoscale material properties

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kappiyoor, R. (2014). Mechanical Properties of Elastomeric Proteins. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/54563

Chicago Manual of Style (16th Edition):

Kappiyoor, Ravi. “Mechanical Properties of Elastomeric Proteins.” 2014. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/54563.

MLA Handbook (7th Edition):

Kappiyoor, Ravi. “Mechanical Properties of Elastomeric Proteins.” 2014. Web. 27 Feb 2021.

Vancouver:

Kappiyoor R. Mechanical Properties of Elastomeric Proteins. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/54563.

Council of Science Editors:

Kappiyoor R. Mechanical Properties of Elastomeric Proteins. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/54563


Virginia Tech

6. Laomettachit, Teeraphan. Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2011, Virginia Tech

 Mathematical modeling has become increasingly popular as a tool to study regulatory interactions within gene-protein networks. From the modelerâ s perspective, two challenges arise in… (more)

Subjects/Keywords: Cyanobacteria; Mathematical Modeling; Protein Regulatory Networks; Budding Yeast Cell Cycle; Circadian Rhythm

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Laomettachit, T. (2011). Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/29492

Chicago Manual of Style (16th Edition):

Laomettachit, Teeraphan. “Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria.” 2011. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/29492.

MLA Handbook (7th Edition):

Laomettachit, Teeraphan. “Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria.” 2011. Web. 27 Feb 2021.

Vancouver:

Laomettachit T. Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/29492.

Council of Science Editors:

Laomettachit T. Mathematical modeling approaches for dynamical analysis of protein regulatory networks with applications to the budding yeast cell cycle and the circadian rhythm in cyanobacteria. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/29492


Virginia Tech

7. Anandakrishnan, Ramamoorthi. Speeding up electrostatic computations for molecular dynamics.

Degree: PhD, Computer Science and Applications, 2011, Virginia Tech

 Molecular dynamics (MD) simulations are routinely used to study the structure and function of biological molecules. However the accuracy and duration of these simulations are… (more)

Subjects/Keywords: statistical mechanics; biomolecular electrostatics; molecular dynamics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Anandakrishnan, R. (2011). Speeding up electrostatic computations for molecular dynamics. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/40262

Chicago Manual of Style (16th Edition):

Anandakrishnan, Ramamoorthi. “Speeding up electrostatic computations for molecular dynamics.” 2011. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/40262.

MLA Handbook (7th Edition):

Anandakrishnan, Ramamoorthi. “Speeding up electrostatic computations for molecular dynamics.” 2011. Web. 27 Feb 2021.

Vancouver:

Anandakrishnan R. Speeding up electrostatic computations for molecular dynamics. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/40262.

Council of Science Editors:

Anandakrishnan R. Speeding up electrostatic computations for molecular dynamics. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/40262


Virginia Tech

8. Liu, Zhen. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.

Degree: PhD, Computer Science and Applications, 2012, Virginia Tech

 In this thesis we study stochastic modeling and simulation methods for biochemical systems. The thesis is focused on systems with multi-state and multi-scale features and… (more)

Subjects/Keywords: SSA; Stochsim; rule-based modeling; QSSA; hybrid method

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liu, Z. (2012). Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/19191

Chicago Manual of Style (16th Edition):

Liu, Zhen. “Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.” 2012. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/19191.

MLA Handbook (7th Edition):

Liu, Zhen. “Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features.” 2012. Web. 27 Feb 2021.

Vancouver:

Liu Z. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/19191.

Council of Science Editors:

Liu Z. Stochastic Simulation Methods for Biochemical Systems with Multi-state and Multi-scale Features. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/19191


Virginia Tech

9. Hu, Xiaohua. Actin polymerization dynamics at the leading edge.

Degree: PhD, Biology, 2012, Virginia Tech

 Actin-based cell motility plays crucial role throughout the lifetime of an organism. While the dendritic nucleation model explains the initiation and organization of the actin… (more)

Subjects/Keywords: Actin capping proteins; Actin-related protein 2-3 complex; Actin; Cell movement

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hu, X. (2012). Actin polymerization dynamics at the leading edge. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/39940

Chicago Manual of Style (16th Edition):

Hu, Xiaohua. “Actin polymerization dynamics at the leading edge.” 2012. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/39940.

MLA Handbook (7th Edition):

Hu, Xiaohua. “Actin polymerization dynamics at the leading edge.” 2012. Web. 27 Feb 2021.

Vancouver:

Hu X. Actin polymerization dynamics at the leading edge. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/39940.

Council of Science Editors:

Hu X. Actin polymerization dynamics at the leading edge. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/39940


Virginia Tech

10. Chen, Chun. Systems Biology Study of Breast Cancer Endocrine Response and Resistance.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 As a robust system, cells can wisely choose and switch between different signaling programs according to their differentiation stages and external environments. Cancer cells can… (more)

Subjects/Keywords: Mathematical modeling; breast cancer; endocrine resistance; signaling switch; breast cancer landscape

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, C. (2013). Systems Biology Study of Breast Cancer Endocrine Response and Resistance. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51965

Chicago Manual of Style (16th Edition):

Chen, Chun. “Systems Biology Study of Breast Cancer Endocrine Response and Resistance.” 2013. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/51965.

MLA Handbook (7th Edition):

Chen, Chun. “Systems Biology Study of Breast Cancer Endocrine Response and Resistance.” 2013. Web. 27 Feb 2021.

Vancouver:

Chen C. Systems Biology Study of Breast Cancer Endocrine Response and Resistance. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/51965.

Council of Science Editors:

Chen C. Systems Biology Study of Breast Cancer Endocrine Response and Resistance. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51965


Virginia Tech

11. He, Bin. Mitotic Dynamics of Normally and Mis-attached Chromosomes and Post-mitotic Behavior of Missegregated Chromosomes.

Degree: PhD, Biological Sciences, 2015, Virginia Tech

 Equal segregation of the replicated genomic content to the two daughter cells is the major task of mitotic cells. The segregation is controlled by a… (more)

Subjects/Keywords: Computational Biology; Cell Biology; Mitosis; Chromosome dynamics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

He, B. (2015). Mitotic Dynamics of Normally and Mis-attached Chromosomes and Post-mitotic Behavior of Missegregated Chromosomes. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73495

Chicago Manual of Style (16th Edition):

He, Bin. “Mitotic Dynamics of Normally and Mis-attached Chromosomes and Post-mitotic Behavior of Missegregated Chromosomes.” 2015. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/73495.

MLA Handbook (7th Edition):

He, Bin. “Mitotic Dynamics of Normally and Mis-attached Chromosomes and Post-mitotic Behavior of Missegregated Chromosomes.” 2015. Web. 27 Feb 2021.

Vancouver:

He B. Mitotic Dynamics of Normally and Mis-attached Chromosomes and Post-mitotic Behavior of Missegregated Chromosomes. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/73495.

Council of Science Editors:

He B. Mitotic Dynamics of Normally and Mis-attached Chromosomes and Post-mitotic Behavior of Missegregated Chromosomes. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/73495


Virginia Tech

12. Hong, Tian. A framework for understanding heterogeneous differentiation of CD4⁺ T cells.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2013, Virginia Tech

 CD4+ T cells are a group of lymphocytes that play critical roles in the immune system. By releasing cytokines, CD4+ T cells regulate other immune… (more)

Subjects/Keywords: CD4+ T cells; mathematical model; cell differentiation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hong, T. (2013). A framework for understanding heterogeneous differentiation of CD4⁺ T cells. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/51228

Chicago Manual of Style (16th Edition):

Hong, Tian. “A framework for understanding heterogeneous differentiation of CD4⁺ T cells.” 2013. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/51228.

MLA Handbook (7th Edition):

Hong, Tian. “A framework for understanding heterogeneous differentiation of CD4⁺ T cells.” 2013. Web. 27 Feb 2021.

Vancouver:

Hong T. A framework for understanding heterogeneous differentiation of CD4⁺ T cells. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/51228.

Council of Science Editors:

Hong T. A framework for understanding heterogeneous differentiation of CD4⁺ T cells. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/51228


Virginia Tech

13. Ravi, Janani. Mathematical modeling of pathways involved in cell cycle regulation and differentiation.

Degree: PhD, Genetics, Bioinformatics, and Computational Biology, 2011, Virginia Tech

 Cellular processes critical to sustaining physiology, including growth, division and differentiation, are carefully governed by intricate control systems. Deregulations in these systems often result in… (more)

Subjects/Keywords: START transition; Wnt signaling; bistability; cell size control; theoretical biology

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ravi, J. (2011). Mathematical modeling of pathways involved in cell cycle regulation and differentiation. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/73006

Chicago Manual of Style (16th Edition):

Ravi, Janani. “Mathematical modeling of pathways involved in cell cycle regulation and differentiation.” 2011. Doctoral Dissertation, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/73006.

MLA Handbook (7th Edition):

Ravi, Janani. “Mathematical modeling of pathways involved in cell cycle regulation and differentiation.” 2011. Web. 27 Feb 2021.

Vancouver:

Ravi J. Mathematical modeling of pathways involved in cell cycle regulation and differentiation. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/73006.

Council of Science Editors:

Ravi J. Mathematical modeling of pathways involved in cell cycle regulation and differentiation. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/73006


Virginia Tech

14. Fang, Youjia. The Novel Role of Interleukin-1 Receptor-Associated Kinase 1 in the Signaling Process Controlling Innate Immunity and Inflammation.

Degree: MS, Biology, 2009, Virginia Tech

 Obesity-induced chronic inflammation plays a key role in the pathogenesis of insulin resistance and the metabolic syndrome. Proinflammatory cytokines can cause insulin resistance in adipose… (more)

Subjects/Keywords: CREB; IRS-1; GSK3β; insulin resistance; Akt; TLRs; IRAK-1

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fang, Y. (2009). The Novel Role of Interleukin-1 Receptor-Associated Kinase 1 in the Signaling Process Controlling Innate Immunity and Inflammation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32331

Chicago Manual of Style (16th Edition):

Fang, Youjia. “The Novel Role of Interleukin-1 Receptor-Associated Kinase 1 in the Signaling Process Controlling Innate Immunity and Inflammation.” 2009. Masters Thesis, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/32331.

MLA Handbook (7th Edition):

Fang, Youjia. “The Novel Role of Interleukin-1 Receptor-Associated Kinase 1 in the Signaling Process Controlling Innate Immunity and Inflammation.” 2009. Web. 27 Feb 2021.

Vancouver:

Fang Y. The Novel Role of Interleukin-1 Receptor-Associated Kinase 1 in the Signaling Process Controlling Innate Immunity and Inflammation. [Internet] [Masters thesis]. Virginia Tech; 2009. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/32331.

Council of Science Editors:

Fang Y. The Novel Role of Interleukin-1 Receptor-Associated Kinase 1 in the Signaling Process Controlling Innate Immunity and Inflammation. [Masters Thesis]. Virginia Tech; 2009. Available from: http://hdl.handle.net/10919/32331

.