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MetabolomicsDynamic Changes and Clinical Significance of Gut Microbiota and Serum Metabolites in Breast Cancer Onset, Progression and Chemotherapy Intervention

Background: Breast cancer progression and treatment are increasingly linked to systemic metabolic and microbial alterations. Previous studies have identified distinct gut microbiome profiles and serum metabolite shifts in breast cancer patients compared to healthy individuals, yet longitudi...

2026-05-08 | MTBLS13634 | MetaboLights
ProteomicsElucidating Fibroblast Growth Factor-induced kinome dynamics using targeted mass spectrometry and dynamic modeling
Fibroblast growth factors (FGFs) are paracrine or endocrine signaling proteins that when activated by their ligands, can elicit a wide range of healthy and disease-related processes such as cell proliferation and the epithelial-to-mesenchymal transition (EMT). The detailed molecular pathway dynamics...
ORGANISM(S): Homo sapiens (Human) 
2023-07-02 | PXD038836 | Pride
Phosphoproteomics  kinase  targeted mass spectrometry  kinase dynamics  fibroblast growth factors  dynamic modeling  fibroblast growth factor receptor  breast cancer.  
ProteomicsElucidating Fibroblast Growth Factor-induced kinome dynamics using targeted mass spectrometry and dynamic modeling
Fibroblast growth factors (FGFs) are paracrine or endocrine signaling proteins that when activated by their ligands, can elicit a wide range of healthy and disease-related processes such as cell proliferation and the epithelial-to-mesenchymal transition (EMT). The detailed molecular pathway dynamics...
ORGANISM(S): Homo sapiens (Human) 
2023-07-02 | PXD038808 | Pride
Phosphoproteomics  kinase  targeted mass spectrometry  kinase dynamics  fibroblast growth factors  dynamic modeling  fibroblast growth factor receptor  breast cancer.  
ProteomicsElucidating Fibroblast Growth Factor-induced kinome dynamics using targeted mass spectrometry and dynamic modeling
Fibroblast growth factors (FGFs) are paracrine or endocrine signaling proteins that when activated by their ligands, can elicit a wide range of healthy and disease-related processes such as cell proliferation and the epithelial-to-mesenchymal transition (EMT). The detailed molecular pathway dynamics...
ORGANISM(S): Homo Sapiens 
PXD039005 | panorama
TranscriptomicsIL13_0-12h_RAIA_et_al
Primary mediastinal B-cell lymphoma (PMBL) and classical Hodgkin lymphoma (cHL) share a frequent constitutive activation of Janus-activated kinase (JAK) / signal transducer and activator of transcription (STAT) signaling pathway. Due to complex non-linear relations within the pathway, key dynamic pr...
ORGANISM(S): Homo sapiens 
2010-12-09 | E-GEOD-23591 | biostudies-arrayexpress
TranscriptomicsDynamic re-wiring of apoptotic signaling networks enhances tumor cell killing by DNA damage
Crosstalk and complexity within signaling pathways has limited our ability to devise rational strategies for using network biology to treat human disease. This is particularly problematic in cancer where oncogenes that drive or maintain the tumorigenic state alter the normal flow of molecular inform...
ORGANISM(S): Homo sapiens 
2012-05-14 | E-GEOD-30516 | biostudies-arrayexpress
UnknownDynamic modeling of Nrf2 pathway activation in liver cells after toxicant exposure.
Not available
S-EPMC9072554 | biostudies-literature
UnknownTop-down modulations in the visual form pathway revealed with dynamic causal modeling.
Not available
S-EPMC3041008 | biostudies-literature
ModelsKerkhoven2013 - Glycolysis and Pentose Phosphate Pathway in T.brucei - MODEL B
Kerkhoven2013 - Glycolysis and Pentose Phosphate Pathway in T.brucei - MODEL B There are six models (Model A, B, C, C-fruc, D, D-fruc) described in the paper. Model A ( BIOMD0000000513 ) is the model developed originally by Achar et al. (2012) ( BIOMD00000...
2024-09-02 | BIOMD0000000514 | BioModels
ModelsCholesterol Regulatory Pathway
BACKGROUND: Qualitative dynamics of small gene regulatory networks have been studied in quite some details both with synchronous and asynchronous analysis. However, both methods have their drawbacks: synchronous analysis leads to spurious attractors and asynchronous analysis lacks computational effi...
2172 | Cell Collective
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