Shakti Gupta
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Shakti Gupta has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Ashok Reddy Dinasarapu
Department of Neurology, Emory University School of Medicine , Atlanta, GA 30322
3 shared publications Mano R. Maurya
2 shared publications- Mano Ram Maurya
University of California San Diego, La Jolla, CA
2 shared publications - Shankar Subramaniam
Department of Chemistry & Biochemistry, Graduate Program in Bioinformatics, and Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA, USA
2 shared publications - Shankar Subramaniam
UC San Diego
2 shared publications Amir Zarrinpar
1 shared publication
Latest Publications
- 1 April 2016
- Published by Elsevier in Gastroenterology
- Vol. 150 (4) , S1143
Mo1553 Serum microRNA Profiling Differentiates NASH and Advanced Fibrosis in Well-Characterized Patients with Biopsy-Proven NAFLD
- 1 April 2016
- Published by Elsevier in Gastroenterology
- Vol. 150 (4) , S1143
Mo1553 Serum microRNA Profiling Differentiates NASH and Advanced Fibrosis in Well-Characterized Patients with Biopsy-Proven NAFLD
- 1 December 2014
- Published by American Scientific Publishers in Journal of Bioinformatics and Intelligent Control
- Vol. 3 (4) , 273-277
Biological Data Integration and Dissemination on Semantic Web—A Perspective
Rapid development of information technology has promoted World Wide Web (WWW) as a main dissemination hub for many biological data and literature. However, most of the information remains inaccessible to the users due to lack of inter connectivity of the data or databases, or lack of common machine-readable data exchange formats. The recent adaptation of semantic web technology by data providers has enhanced the process of data sharing, mining and integration of biological information across different data resources within the context of web accessibility of data.
- 1 December 2014
- Published by American Scientific Publishers in Journal of Bioinformatics and Intelligent Control
- Vol. 3 (4) , 273-277
Biological Data Integration and Dissemination on Semantic Web—A Perspective
Rapid development of information technology has promoted World Wide Web (WWW) as a main dissemination hub for many biological data and literature. However, most of the information remains inaccessible to the users due to lack of inter connectivity of the data or databases, or lack of common machine-readable data exchange formats. The recent adaptation of semantic web technology by data providers has enhanced the process of data sharing, mining and integration of biological information across different data resources within the context of web accessibility of data.
- 23 September 2011
- Published by American Chemical Society (ACS) in Chemical Reviews
- Vol. 111 (10) , 6452-6490
Bioinformatics and Systems Biology of the Lipidome
- 23 September 2011
- Published by American Chemical Society (ACS) in Chemical Reviews
- Vol. 111 (10) , 6452-6490
Bioinformatics and Systems Biology of the Lipidome
- 31 August 2010
- Published by Elsevier in Molecular Immunology
- Vol. 47 (13) , 2227
A complement-IL-4 regulatory circuit controls liver regeneration
- 31 August 2010
- Published by Elsevier in Molecular Immunology
- Vol. 47 (13) , 2227
A complement-IL-4 regulatory circuit controls liver regeneration
- Open Access
- 14 February 2007
- Published by Springer Nature in Theoretical Biology and Medical Modelling
- Vol. 4 (1) , 8
Inclusion of the glucocorticoid receptor in a hypothalamic pituitary adrenal axis model reveals bistability
Background: The body's primary stress management system is the hypothalamic pituitary adrenal (HPA) axis. The HPA axis responds to physical and mental challenge to maintain homeostasis in part by controlling the body's cortisol level. Dysregulation of the HPA axis is implicated in numerous stress-related diseases. Results: We developed a structured model of the HPA axis that includes the glucocorticoid receptor (GR). This model incorporates nonlinear kinetics of pituitary GR synthesis. The nonlinear effect arises from the fact that GR homodimerizes after cortisol activation and induces its own synthesis in the pituitary. This homodimerization makes possible two stable steady states (low and high) and one unstable state of cortisol production resulting in bistability of the HPA axis. In this model, low GR concentration represents the normal steady state, and high GR concentration represents a dysregulated steady state. A short stress in the normal steady state produces a small perturbation in the GR concentration that quickly returns to normal levels. Long, repeated stress produces persistent and high GR concentration that does not return to baseline forcing the HPA axis to an alternate steady state. One consequence of increased steady state GR is reduced steady state cortisol, which has been observed in some stress related disorders such as Chronic Fatigue Syndrome (CFS). Conclusion: Inclusion of pituitary GR expression resulted in a biologically plausible model of HPA axis bistability and hypocortisolism. High GR concentration enhanced cortisol negative feedback on the hypothalamus and forced the HPA axis into an alternative, low cortisol state. This model can be used to explore mechanisms underlying disorders of the HPA axis.
- 14 February 2007
- Published by Springer Nature in Theoretical Biology and Medical Modelling
- Vol. 4 (1) , 8
Open AccessInclusion of the glucocorticoid receptor in a hypothalamic pituitary adrenal axis model reveals bistability
Background: The body's primary stress management system is the hypothalamic pituitary adrenal (HPA) axis. The HPA axis responds to physical and mental challenge to maintain homeostasis in part by controlling the body's cortisol level. Dysregulation of the HPA axis is implicated in numerous stress-related diseases. Results: We developed a structured model of the HPA axis that includes the glucocorticoid receptor (GR). This model incorporates nonlinear kinetics of pituitary GR synthesis. The nonlinear effect arises from the fact that GR homodimerizes after cortisol activation and induces its own synthesis in the pituitary. This homodimerization makes possible two stable steady states (low and high) and one unstable state of cortisol production resulting in bistability of the HPA axis. In this model, low GR concentration represents the normal steady state, and high GR concentration represents a dysregulated steady state. A short stress in the normal steady state produces a small perturbation in the GR concentration that quickly returns to normal levels. Long, repeated stress produces persistent and high GR concentration that does not return to baseline forcing the HPA axis to an alternate steady state. One consequence of increased steady state GR is reduced steady state cortisol, which has been observed in some stress related disorders such as Chronic Fatigue Syndrome (CFS). Conclusion: Inclusion of pituitary GR expression resulted in a biologically plausible model of HPA axis bistability and hypocortisolism. High GR concentration enhanced cortisol negative feedback on the hypothalamus and forced the HPA axis into an alternative, low cortisol state. This model can be used to explore mechanisms underlying disorders of the HPA axis.