ArticlePloS one2015
Organization of enzyme concentration across the metabolic network in cancer cells.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 45 citations in OpenAlex.
- Proteomic analysis of oxidative modifications in human atherosclerotic plaques and control arteries.Redox biology · 2026Article
- Living on the Edge: ROS Homeostasis in Cancer Cells and Its Potential as a Therapeutic Target.Antioxidants (Basel, Switzerland) · 2025Review
- RB1 controls differentiation through positive regulation of phosphoglycerate mutases.Cell death & disease · 2025Article
- Targeting glycolysis in esophageal squamous cell carcinoma: single-cell and multi-omics insights for risk stratification and personalized therapy.Frontiers in pharmacology · 2025Article
- Research progress on the interaction between glucose metabolic reprogramming and lactylation in tumors.Frontiers in immunology · 2025Review
- Kinetic Modeling of Hepatic Metabolism and Simulation of Treatment Effects.Methods in molecular biology (Clifton, N.J.) · 2024Article
- CircRNAs: emerging factors for regulating glucose metabolism in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Review
- Prostate cancer cells demonstrate unique metabolism and substrate adaptability acutely after androgen deprivation therapy.The Prostate · 2022Article
- SALARECON connects the Atlantic salmon genome to growth and feed efficiency.PLoS computational biology · 2022Article
- Naturally occurring deamidated triosephosphate isomerase is a promising target for cell-selective therapy in cancer.Scientific reports · 2022Article
- Article
- Evolved resistance to partial GAPDH inhibition results in loss of the Warburg effect and in a different state of glycolysis.The Journal of biological chemistry · 2020Article
- Glucose Metabolism on Tumor Plasticity, Diagnosis, and Treatment.Frontiers in oncology · 2020Review
- Systematic Enzyme Mapping of Cellular Metabolism by Phasor-Analyzed Label-Free NAD(P)H Fluorescence Lifetime Imaging.International journal of molecular sciences · 2019Article
- Extension of the yeast metabolic model to include iron metabolism and its use to estimate global levels of iron-recruiting enzyme abundance from cofactor requirements.Biotechnology and bioengineering · 2019Article
- Phosphoglycolate has profound metabolic effects but most likely no role in a metabolic DNA response in cancer cell lines.The Biochemical journal · 2019Article
- New concepts in feedback regulation of glucose metabolism.Current opinion in systems biology · 2018Article
- Revisiting the Crabtree/Warburg effect in a dynamic perspective: a fitness advantage against sugar-induced cell death.Cell cycle (Georgetown, Tex.) · 2018Review
- A Predictive Model for Selective Targeting of the Warburg Effect through GAPDH Inhibition with a Natural Product.Cell metabolism · 2017Article
- Mechanisms of glycosylase induced genomic instability.PloS one · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.