Sökning: WFRF:(Gatto Francesco 1987) > (2015) > Flux balance analys...
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000 | 03129naa a2200361 4500 | |
001 | oai:research.chalmers.se:5a657c7e-e3e8-482d-b59b-43351449dbab | |
003 | SwePub | |
008 | 171007s2015 | |||||||||||000 ||eng| | |
024 | 7 | a https://research.chalmers.se/publication/2187372 URI |
024 | 7 | a https://doi.org/10.1038/srep107382 DOI |
040 | a (SwePub)cth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a art2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a Gatto, Francesco,d 1987u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)gatto |
245 | 1 0 | a Flux balance analysis predicts essential genes in clear cell renal cell carcinoma metabolism |
264 | c 2015-06-04 | |
264 | 1 | b Springer Science and Business Media LLC,c 2015 |
338 | a electronic2 rdacarrier | |
520 | a Flux balance analysis is the only modelling approach that is capable of producing genome-wide predictions of gene essentiality that may aid to unveil metabolic liabilities in cancer. Nevertheless, a systemic validation of gene essentiality predictions by flux balance analysis is currently missing. Here, we critically evaluated the accuracy of flux balance analysis in two cancer types, clear cell renal cell carcinoma (ccRCC) and prostate adenocarcinoma, by comparison with large-scale experiments of gene essentiality in vitro. We found that in ccRCC, but not in prostate adenocarcinoma, flux balance analysis could predict essential metabolic genes beyond random expectation. Five of the identified metabolic genes, AGPAT6, GALT, GCLC, GSS, and RRM2B, were predicted to be dispensable in normal cell metabolism. Hence, targeting these genes may selectively prevent ccRCC growth. Based on our analysis, we discuss the benefits and limitations of flux balance analysis for gene essentiality predictions in cancer metabolism, and its use for exposing metabolic liabilities in ccRCC, whose emergent metabolic network enforces outstanding anabolic requirements for cellular proliferation. | |
650 | 7 | a NATURVETENSKAPx Biologix Bioinformatik och systembiologi0 (SwePub)106102 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Biological Sciencesx Bioinformatics and Systems Biology0 (SwePub)106102 hsv//eng |
700 | 1 | a Miess, H.u Cancer Research UK4 aut |
700 | 1 | a Schulze, A.u Julius-Maximilians Universität Würzburg,University of Würzburg,Cancer Research UK,Comprehensive Cancer Center Mainfranken4 aut |
700 | 1 | a Nielsen, Jens B,d 1962u Chalmers tekniska högskola,Chalmers University of Technology4 aut0 (Swepub:cth)nielsenj |
710 | 2 | a Chalmers tekniska högskolab Cancer Research UK4 org |
773 | 0 | t Scientific Reportsd : Springer Science and Business Media LLCg 5, s. Art. no. 10738-q 5<Art. no. 10738-x 2045-2322x 2045-2322 |
856 | 4 | u http://dx.doi.org/10.1038/srep10738y FULLTEXT |
856 | 4 | u https://research.chalmers.se/publication/218737/file/218737_Fulltext.pdfx primaryx freey FULLTEXT |
856 | 4 | u https://doi.org/10.1038/srep10738 |
856 | 4 8 | u https://research.chalmers.se/publication/218737 |
856 | 4 8 | u https://doi.org/10.1038/srep10738 |
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