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Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research
With the wealth of data accumulated from completely sequenced genomes and other high-throughput experiments, global studies of biological systems, by simultaneously investigating multiple biological entities (e.g. genes, transcripts, proteins), has become a routine. Network representation is frequen...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120462/ https://www.ncbi.nlm.nih.gov/pubmed/27876057 http://dx.doi.org/10.1186/s12967-016-1078-3 |
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author | Jinawath, Natini Bunbanjerdsuk, Sacarin Chayanupatkul, Maneerat Ngamphaiboon, Nuttapong Asavapanumas, Nithi Svasti, Jisnuson Charoensawan, Varodom |
author_facet | Jinawath, Natini Bunbanjerdsuk, Sacarin Chayanupatkul, Maneerat Ngamphaiboon, Nuttapong Asavapanumas, Nithi Svasti, Jisnuson Charoensawan, Varodom |
author_sort | Jinawath, Natini |
collection | PubMed |
description | With the wealth of data accumulated from completely sequenced genomes and other high-throughput experiments, global studies of biological systems, by simultaneously investigating multiple biological entities (e.g. genes, transcripts, proteins), has become a routine. Network representation is frequently used to capture the presence of these molecules as well as their relationship. Network biology has been widely used in molecular biology and genetics, where several network properties have been shown to be functionally important. Here, we discuss how such methodology can be useful to translational biomedical research, where scientists traditionally focus on one or a small set of genes, diseases, and drug candidates at any one time. We first give an overview of network representation frequently used in biology: what nodes and edges represent, and review its application in preclinical research to date. Using cancer as an example, we review how network biology can facilitate system-wide approaches to identify targeted small molecule inhibitors. These types of inhibitors have the potential to be more specific, resulting in high efficacy treatments with less side effects, compared to the conventional treatments such as chemotherapy. Global analysis may provide better insight into the overall picture of human diseases, as well as identify previously overlooked problems, leading to rapid advances in medicine. From the clinicians’ point of view, it is necessary to bridge the gap between theoretical network biology and practical biomedical research, in order to improve the diagnosis, prevention, and treatment of the world’s major diseases. |
format | Online Article Text |
id | pubmed-5120462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51204622016-11-28 Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research Jinawath, Natini Bunbanjerdsuk, Sacarin Chayanupatkul, Maneerat Ngamphaiboon, Nuttapong Asavapanumas, Nithi Svasti, Jisnuson Charoensawan, Varodom J Transl Med Review With the wealth of data accumulated from completely sequenced genomes and other high-throughput experiments, global studies of biological systems, by simultaneously investigating multiple biological entities (e.g. genes, transcripts, proteins), has become a routine. Network representation is frequently used to capture the presence of these molecules as well as their relationship. Network biology has been widely used in molecular biology and genetics, where several network properties have been shown to be functionally important. Here, we discuss how such methodology can be useful to translational biomedical research, where scientists traditionally focus on one or a small set of genes, diseases, and drug candidates at any one time. We first give an overview of network representation frequently used in biology: what nodes and edges represent, and review its application in preclinical research to date. Using cancer as an example, we review how network biology can facilitate system-wide approaches to identify targeted small molecule inhibitors. These types of inhibitors have the potential to be more specific, resulting in high efficacy treatments with less side effects, compared to the conventional treatments such as chemotherapy. Global analysis may provide better insight into the overall picture of human diseases, as well as identify previously overlooked problems, leading to rapid advances in medicine. From the clinicians’ point of view, it is necessary to bridge the gap between theoretical network biology and practical biomedical research, in order to improve the diagnosis, prevention, and treatment of the world’s major diseases. BioMed Central 2016-11-22 /pmc/articles/PMC5120462/ /pubmed/27876057 http://dx.doi.org/10.1186/s12967-016-1078-3 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Jinawath, Natini Bunbanjerdsuk, Sacarin Chayanupatkul, Maneerat Ngamphaiboon, Nuttapong Asavapanumas, Nithi Svasti, Jisnuson Charoensawan, Varodom Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
title | Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
title_full | Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
title_fullStr | Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
title_full_unstemmed | Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
title_short | Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
title_sort | bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5120462/ https://www.ncbi.nlm.nih.gov/pubmed/27876057 http://dx.doi.org/10.1186/s12967-016-1078-3 |
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