Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches
Abstract The study of tumorigenic rewiring of metabolic flux is at the heart of cancer metabolic research. Here, we review two widely used computational flux inference approaches: isotope tracing coupled with Metabolic Flux Analysis (13C-MFA) and COnstraint-Based Reconstruction and Analysis (COBRA)....
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Format: | Article |
Language: | English |
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BMC
2019-07-01
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Series: | BMC Biology |
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Online Access: | http://link.springer.com/article/10.1186/s12915-019-0669-x |
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author | Shoval Lagziel Won Dong Lee Tomer Shlomi |
author_facet | Shoval Lagziel Won Dong Lee Tomer Shlomi |
author_sort | Shoval Lagziel |
collection | DOAJ |
description | Abstract The study of tumorigenic rewiring of metabolic flux is at the heart of cancer metabolic research. Here, we review two widely used computational flux inference approaches: isotope tracing coupled with Metabolic Flux Analysis (13C-MFA) and COnstraint-Based Reconstruction and Analysis (COBRA). We describe the applications of these complementary modeling techniques for studying metabolic adaptations in cancer cells due to genetic mutations and the tumor microenvironment, as well as for identifying novel enzymatic targets for anti-cancer drugs. We further highlight the advantages and limitations of COBRA and 13C-MFA and the main challenges ahead. |
first_indexed | 2024-12-23T10:44:02Z |
format | Article |
id | doaj.art-25f499bfa48e4595b52348f8d1073ff1 |
institution | Directory Open Access Journal |
issn | 1741-7007 |
language | English |
last_indexed | 2024-12-23T10:44:02Z |
publishDate | 2019-07-01 |
publisher | BMC |
record_format | Article |
series | BMC Biology |
spelling | doaj.art-25f499bfa48e4595b52348f8d1073ff12022-12-21T17:50:05ZengBMCBMC Biology1741-70072019-07-0117111110.1186/s12915-019-0669-xStudying metabolic flux adaptations in cancer through integrated experimental-computational approachesShoval Lagziel0Won Dong Lee1Tomer Shlomi2Faculty of Computer Science, TechnionFaculty of Biology, TechnionFaculty of Computer Science, TechnionAbstract The study of tumorigenic rewiring of metabolic flux is at the heart of cancer metabolic research. Here, we review two widely used computational flux inference approaches: isotope tracing coupled with Metabolic Flux Analysis (13C-MFA) and COnstraint-Based Reconstruction and Analysis (COBRA). We describe the applications of these complementary modeling techniques for studying metabolic adaptations in cancer cells due to genetic mutations and the tumor microenvironment, as well as for identifying novel enzymatic targets for anti-cancer drugs. We further highlight the advantages and limitations of COBRA and 13C-MFA and the main challenges ahead.http://link.springer.com/article/10.1186/s12915-019-0669-xCancer metabolismMetabolic network modelingMetabolic flux analysisConstraint-based modelingCOBRAIsotope tracing |
spellingShingle | Shoval Lagziel Won Dong Lee Tomer Shlomi Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches BMC Biology Cancer metabolism Metabolic network modeling Metabolic flux analysis Constraint-based modeling COBRA Isotope tracing |
title | Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches |
title_full | Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches |
title_fullStr | Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches |
title_full_unstemmed | Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches |
title_short | Studying metabolic flux adaptations in cancer through integrated experimental-computational approaches |
title_sort | studying metabolic flux adaptations in cancer through integrated experimental computational approaches |
topic | Cancer metabolism Metabolic network modeling Metabolic flux analysis Constraint-based modeling COBRA Isotope tracing |
url | http://link.springer.com/article/10.1186/s12915-019-0669-x |
work_keys_str_mv | AT shovallagziel studyingmetabolicfluxadaptationsincancerthroughintegratedexperimentalcomputationalapproaches AT wondonglee studyingmetabolicfluxadaptationsincancerthroughintegratedexperimentalcomputationalapproaches AT tomershlomi studyingmetabolicfluxadaptationsincancerthroughintegratedexperimentalcomputationalapproaches |