Organization of enzyme concentration across the metabolic network in cancer cells
PLoS ONE, ISSN: 1932-6203, Vol: 10, Issue: 1, Page: e0117131
2015
- 32Citations
- 79Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations32
- Citation Indexes32
- 32
- CrossRef14
- Captures79
- Readers79
- 79
Article Description
Rapid advances in mass spectrometry have allowed for estimates of absolute concentrations across entire proteomes, permitting the interrogation of many important biological questions. Here, we focus on a quantitative aspect of human cancer cell metabolism that has been limited by a paucity of available data on the abundance of metabolic enzymes. We integrate data from recent measurements of absolute protein concentration to analyze the statistics of protein abundance across the human metabolic network. At a global level, we find that the enzymes in glycolysis comprise approximately half of the total amount of metabolic proteins and can constitute up to 10% of the entire proteome.We then use this analysis to investigate several outstanding problems in cancer metabolism, including the diversion of glycolytic flux for biosynthesis, the relative contribution of nitrogen assimilating pathways, and the origin of cellular redox potential. We find many consistencies with current models, identify several inconsistencies, and find generalities that extend beyond current understanding. Together our results demonstrate that a relatively simple analysis of the abundance of metabolic enzymes was able to reveal many insights into the organization of the human cancer cell metabolic network.
Bibliographic Details
10.1371/journal.pone.0117131; 10.1371/journal.pone.0117131.g005; 10.1371/journal.pone.0117131.g001; 10.1371/journal.pone.0117131.g003; 10.1371/journal.pone.0117131.g002; 10.1371/journal.pone.0117131.g006; 10.1371/journal.pone.0117131.g004
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84922022722&origin=inward; http://dx.doi.org/10.1371/journal.pone.0117131; http://www.ncbi.nlm.nih.gov/pubmed/25621879; http://dx.plos.org/10.1371/journal.pone.0117131.g005; http://dx.doi.org/10.1371/journal.pone.0117131.g005; http://dx.plos.org/10.1371/journal.pone.0117131.g001; http://dx.doi.org/10.1371/journal.pone.0117131.g001; http://dx.plos.org/10.1371/journal.pone.0117131.g003; http://dx.doi.org/10.1371/journal.pone.0117131.g003; https://dx.plos.org/10.1371/journal.pone.0117131; http://dx.plos.org/10.1371/journal.pone.0117131.g002; http://dx.doi.org/10.1371/journal.pone.0117131.g002; https://dx.plos.org/10.1371/journal.pone.0117131.g006; http://dx.doi.org/10.1371/journal.pone.0117131.g006; https://dx.plos.org/10.1371/journal.pone.0117131.g004; http://dx.doi.org/10.1371/journal.pone.0117131.g004; https://dx.doi.org/10.1371/journal.pone.0117131.g006; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0117131.g006; https://dx.doi.org/10.1371/journal.pone.0117131.g004; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0117131.g004; https://dx.doi.org/10.1371/journal.pone.0117131; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0117131; https://dx.doi.org/10.1371/journal.pone.0117131.g005; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0117131.g005; https://dx.doi.org/10.1371/journal.pone.0117131.g001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0117131.g001; https://dx.doi.org/10.1371/journal.pone.0117131.g002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0117131.g002; https://dx.doi.org/10.1371/journal.pone.0117131.g003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0117131.g003; https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0117131&type=printable; http://dx.plos.org/10.1371/journal.pone.0117131.g004; http://dx.plos.org/10.1371/journal.pone.0117131.g006; http://www.plosone.org/article/metrics/info:doi/10.1371/journal.pone.0117131; http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0117131&type=printable; http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0117131; http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0117131; http://dx.plos.org/10.1371/journal.pone.0117131; http://europepmc.org/abstract/med/25621879; http://europepmc.org/articles/PMC4306493; http://journals.plos.org/plosone/article/metrics?id=10.1371/journal.pone.0117131
Public Library of Science (PLoS)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know