Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer
Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as...
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| Format: | Online |
| Sprog: | engelsk |
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Frontiers Media SA
2021
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| Online adgang: | 29604 |
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| _version_ | 1869522928940351488 |
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| author | Christian Diener Osbaldo Resendis-Antonio |
| author_browse | Christian Diener Osbaldo Resendis-Antonio |
| author_facet | Christian Diener Osbaldo Resendis-Antonio |
| author_sort | Christian Diener |
| collection | Directory of Open Access Books |
| description | Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options.Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current “omics” technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell’s metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research. |
| format | Online |
| id | doab-20.500.12854ir-60439 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-604392024-03-31T22:45:11Z Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer Christian Diener Osbaldo Resendis-Antonio QP1-981 QH301-705.5 Q1-390 Computational Biology Metabolic alterations Metabolism Systems Biology Modeling Cancer thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options.Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current “omics” technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell’s metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research. 2021-02-12T05:09:46Z 2021-02-12T05:09:46Z 2018-11-16 17:17:57 2017 book 29604 16648714 9782889453337 https://directory.doabooks.org/handle/20.500.12854/60439 eng Frontiers Research Topics image/jpeg Attribution 4.0 International https://www.frontiersin.org/research-topics/4239/systems-biology-and-the-challenge-of-deciphering-the-metabolic-mechanisms-underlying-cancer Frontiers Media SA 10.3389/978-2-88945-333-7 10.3389/978-2-88945-333-7 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889453337 142 open access |
| spellingShingle | QP1-981 QH301-705.5 Q1-390 Computational Biology Metabolic alterations Metabolism Systems Biology Modeling Cancer thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology Christian Diener Osbaldo Resendis-Antonio Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer |
| title | Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer |
| title_full | Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer |
| title_fullStr | Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer |
| title_full_unstemmed | Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer |
| title_short | Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer |
| title_sort | systems biology and the challenge of deciphering the metabolic mechanisms underlying cancer |
| topic | QP1-981 QH301-705.5 Q1-390 Computational Biology Metabolic alterations Metabolism Systems Biology Modeling Cancer thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology |
| topic_facet | QP1-981 QH301-705.5 Q1-390 Computational Biology Metabolic alterations Metabolism Systems Biology Modeling Cancer thema EDItEUR::M Medicine and Nursing::MF Pre-clinical medicine: basic sciences::MFG Physiology |
| url | 29604 |
| work_keys_str_mv | AT christiandiener systemsbiologyandthechallengeofdecipheringthemetabolicmechanismsunderlyingcancer AT osbaldoresendisantonio systemsbiologyandthechallengeofdecipheringthemetabolicmechanismsunderlyingcancer |