ArticlePLoS computational biology2011
Consensus-phenotype integration of transcriptomic and metabolomic data implies a role for metabolism in the chemosensitivity of tumour cells.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
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- Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications.Proteome science · 2025Review
- The Brain Metabolome Is Modified by Obesity in a Sex-Dependent Manner.International journal of molecular sciences · 2024Article
- Sex Modifies the Impact of Type 2 Diabetes Mellitus on the Murine Whole Brain Metabolome.Metabolites · 2023Article
- Systemic Markers of Lung Function and Forced Expiratory Volume in 1 Second Decline across Diverse Cohorts.Annals of the American Thoracic Society · 2023Article
- Metabolomics: Going Deeper, Going Broader, Going Further.Methods in molecular biology (Clifton, N.J.) · 2023Review
- Metabolomics and Lipidomics Screening Reveal Reprogrammed Signaling Pathways toward Cancer Development in Non-Alcoholic Steatohepatitis.International journal of molecular sciences · 2022Article
- An activation to memory differentiation trajectory of tumor-infiltrating lymphocytes informs metastatic melanoma outcomes.Cancer cell · 2022Article
- The altered serum lipidome and its diagnostic potential for Non-Alcoholic Fatty Liver (NAFL)-associated hepatocellular carcinoma.EBioMedicine · 2021Article
- Thermodynamic Genome-Scale Metabolic Modeling of Metallodrug Resistance in Colorectal Cancer.Cancers · 2021Article
- Integration of the Microbiome, Metabolome and Transcriptomics Data Identified Novel Metabolic Pathway Regulation in Colorectal Cancer.International journal of molecular sciences · 2021Article
- Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer.Metabolites · 2021Review
- Integration of metabolomics and transcriptomics reveals convergent pathways driving radiation-induced salivary gland dysfunction.Physiological genomics · 2021Article
- Mitochondrial structural alterations in ovarian cancer patient-derived xenografts resistant to cisplatin.American journal of cancer research · 2021Article
- CMIP is a negative regulator of T cell signaling.Cellular & molecular immunology · 2020Article
- Gene-Metabolite Network Linked to Inhibited Bioenergetics in Association With Spaceflight-Induced Loss of Male Mouse Quadriceps Muscle.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2020Article
- Article
- Computational models applied to metabolomics data hints at the relevance of glutamine metabolism in breast cancer.BMC cancer · 2020Article
- Single Spheroid Metabolomics: Optimizing Sample Preparation of Three-Dimensional Multicellular Tumor Spheroids.Metabolites · 2019Article
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8 authors.
Funding
Abstract
Using transcriptomic and metabolomic measurements from the NCI60 cell line panel, together with a novel approach to integration of molecular profile data, we show that the biochemical pathways associated with tumour cell chemosensitivity to platinum-based drugs are highly coincident, i.e. they describe a consensus phenotype. Direct integration of metabolome and transcriptome data at the point of pathway analysis improved the detection of consensus pathways by 76%, and revealed associations between platinum sensitivity and several metabolic pathways that were not visible from transcriptome analysis alone. These pathways included the TCA cycle and pyruvate metabolism, lipoprotein uptake and nucleotide synthesis by both salvage and de novo pathways. Extending the approach across a wide panel of chemotherapeutics, we confirmed the specificity of the metabolic pathway associations to platinum sensitivity. We conclude that metabolic phenotyping could play a role in predicting response to platinum chemotherapy and that consensus-phenotype integration of molecular profiling data is a powerful and versatile tool for both biomarker discovery and for exploring the complex relationships between biological pathways and drug response.
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