Article

Discovery of multi-state gene cluster switches determining the adaptive mitochondrial and metabolic landscape of breast cancer

2023-02-18

Abstract excerpt

Adaptive metabolic switches are proposed to underlie conversions between cellular states during normal development as well as in cancer evolution, where they represent important therapeutic targets. However, the full spectrum, characteristics and regulation of existing metabolic switches are unknown. We propose that metabolic switches can be recognised by locating large alternating gene expression patterns and ass...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d1bfb3f4-57fb-5133-a781-538f80e49028
DOI: 10.1101/2023.02.17.528922

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Discovery of multi-state gene cluster switches determining the adaptive mitochondrial and metabolic landscape of breast cancerDOI 10.1101/2023.02.17.528922Read

Characterization of metabolic phenotypes in breast cancer through the integration of genome-scale metabolic models and machine learningSemantic proximity Read

Identifying personalized metabolic signatures in breast cancerSemantic proximity Read

Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in human breast cancersSemantic proximity Read

Identification and validation of a metabolic-related gene risk model predicting the prognosis of Lung, Colon, and Breast cancersSemantic proximity Read

A Pan-Cancer Atlas of Metabolic Regulatory Circuitries Integrating Multi-Omic, Immune, and Clinical DimensionsSemantic proximity Read

Robust Metabolic Transcriptional Components in 34,494 Patient-Derived Samples and Cell LinesSemantic proximity Read

Towards Decoding the Metabolic Plasticity in Cancer: Coupling of Gene Regulation and Metabolic PathwaysSemantic proximity Read

A Single-Cell Network Approach to Decode Metabolic Regulation in Gynecologic and Breast CancersSemantic proximity Read

Exploring the role of metabolic pathways in TNBC immunotherapy: insights from single-cell and spatial transcriptomicsSemantic proximity Read

Single-cell sequencing and transcriptome analysis identified a comprehensive risk score model based on immune-related metabolic genes for improving the prediction of sensitivity in breast cancer immunotherapySemantic proximity Read

Comprehensive Analysis of Metabolic Genes in Breast Cancer Based on Multi-Omics Data.Semantic proximity Read

Metabolic re-wiring of isogenic breast epithelial cell lines following epithelial to mesenchymal transitionSemantic proximity Read