Literature DB >> 25362968

Systems biology meets -omic technologies: novel approaches to biomarker discovery and companion diagnostic development.

Laura Caberlotto1, Mario Lauria.   

Abstract

The next generation of biomarkers and companion diagnostics will require the development of technologies capable of conjugating the advances in high-throughput techniques in biology with computational methods. Systems biology is poised to contribute through an integrated view, capturing the complexity of the system, both in terms of a collection of interacting molecular components and also in terms of multiple intersecting views. Following this system-centered view, novel approaches have been developed for the identification of signatures of both disease processes and drug modes of action with the promising perspectives of better diagnosis of disease and of the discovery of more efficacious and safe drugs. The application of systems biology to the development of companion diagnostics is very recent and to date a few pioneering steps have been made in this direction. In this review, we describe the ongoing studies and the potential developments in this area of research.

Keywords:  companion diagnostic; molecular biomarkers; network analysis; systems biology; systems medicine; systems pharmacology

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Substances:

Year:  2014        PMID: 25362968     DOI: 10.1586/14737159.2015.975214

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  5 in total

Review 1.  Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosis.

Authors:  Carol Chase Huizar; Itay Raphael; Thomas G Forsthuber
Journal:  Cell Immunol       Date:  2020-09-20       Impact factor: 4.868

Review 2.  Parsing interindividual drug variability: an emerging role for systems pharmacology.

Authors:  Richard M Turner; B Kevin Park; Munir Pirmohamed
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-05-07

3.  Integrated Network Pharmacology and Lipidomics to Reveal the Inhibitory Effect of Qingfei Oral Liquid on Excessive Autophagy in RSV-Induced Lung Inflammation.

Authors:  Lili Lin; Li An; Hui Chen; Lu Feng; Mengjiang Lu; Yuling Liu; Chu Chu; Jinjun Shan; Tong Xie; Xiaorong Wang; Shouchuan Wang
Journal:  Front Pharmacol       Date:  2021-12-01       Impact factor: 5.810

4.  SCUDO: a tool for signature-based clustering of expression profiles.

Authors:  Mario Lauria; Petros Moyseos; Corrado Priami
Journal:  Nucleic Acids Res       Date:  2015-05-09       Impact factor: 16.971

5.  Convergence of pathway analysis and pattern recognition predicts sensitization to latest generation TRAIL therapeutics by IAP antagonism.

Authors:  Vesna Vetma; Cristiano Guttà; Nathalie Peters; Christian Praetorius; Meike Hutt; Oliver Seifert; Friedegund Meier; Roland Kontermann; Dagmar Kulms; Markus Rehm
Journal:  Cell Death Differ       Date:  2020-02-21       Impact factor: 15.828

  5 in total

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