System Biology Approaches to Identify Biomarker in Liver Diseases

Authors

  • Vikram Arya 1020 Locust st, Jefferson Alumni Hall, Room no. 320A, Philadelphia, PA, ZIP 19107, USA
  • Biswanath Patra Daniel Baugh Institute of Bioinformatics and Functional Genomics, Department Of Pathology, 1020 Locust Street, Room 320 Ajah, Thomas Jefferson University, Philadelphia, 19107, PA, USA

Keywords:

Biology, biomarker, liver disease

Abstract

System biology emerging from year 2000 onwards in biomedical sciences is multi disciplinary approaches focus on complex dynamics interaction with in biological sys­tem. Alcohol and other drugs are potent cause of liver failure in USA and Worldwide. We describe system biology approaches a potential tool for identifying cell signaling pathways and co expressed genes involved in liver toxicity induced by reactive oxygen species, free fatty acids, and TNFα in liver hepatocyte, kupffer cell and stellate cells. System biology approaches analyzed multiple omics data i.e. Phenomics, Genomics, Epigenomics, Lipidomics, Metabolomics, Transcriptomics and Proteomics etc. to understand gene expression, metabolic profile, toxicity profile to predict and validate or characterized gene targets for liver toxicity.

Downloads

Download data is not yet available.

Downloads

Published

2023-05-03

How to Cite

1.
Arya V, Patra B. System Biology Approaches to Identify Biomarker in Liver Diseases. IJBSM [Internet]. 2023 May 3 [cited 2024 Nov. 14];4(Mar, 1):097-100. Available from: http://ojs.pphouse.org/index.php/IJBSM/article/view/334

Issue

Vol. 4 No. Mar, 1 (2013)

Section

Articles

License

Authors retain copyright. Articles published are made available as open access articles, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited. Creative Commons License

This journal permits and encourages authors to share their submitted versions (preprints), accepted versions (postprints) and/or published versions (publisher versions) freely under the CC BY-NC-SA 4.0 license while providing bibliographic details that credit, if applicable.