Microarray analysis of mouse TRAF3-/- premalignant splenic B cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE113920 | GEO | 2019/11/13
REPOSITORIES: GEO
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Project description:Dysregulated choline metabolism is a well-known feature of breast cancer, but the underlying mechanisms are not fully understood. In this study, the metabolomic and transcriptomic characteristics of a large panel of human breast cancer xenograft models were mapped, with focus on choline metabolism. Methods: Tumor specimens from 34 patient-derived xenograft models were collected and divided in two. One part was examined using high-resolution magic angle spinning (HR-MAS) MR spectroscopy while another part was analysed using gene expression microarrays. Expression data of genes encoding proteins in the choline metabolism pathway were analysed and correlated to the levels of choline (Cho), phosphocholine (PCho) and glycerophosphocholine (GPC) using Pearson’s correlation analysis. For comparison purposes, metabolic and gene expression data were collected from human breast tumors belonging to corresponding molecular subgroups. Results: Most of the xenograft models were classified as basal-like (N=19) or luminal B (N=7). These two subgroups showed significantly different choline metabolic and gene expression profiles. The luminal B xenografts were characterized by a high PCho/GPC ratio while the basal-like xenografts were characterized by highly variable PCho/GPC ratio. Also, Cho, PCho and GPC levels were correlated to expression of several genes encoding proteins in the choline metabolism pathway, including choline kinase alpha (CHKA) and glycerophosphodiester phosphodiesterase domain containing 5 (GDPD5). These characteristics were similar to those found in human tumor samples. Discussion: The higher PCho/GPC ratio found in luminal B compared with most basal-like breast cancer xenograft models and human tissue samples do not correspond to results observed from in vitro studies. It is likely that microenvironmental factors play a role in the in vivo regulation of choline metabolism. Cho, PCho and GPC were correlated to different choline pathway-encoding genes in luminal B compared with basal-like xenografts, suggesting that regulation of choline metabolism may vary between different breast cancer subgroups. The concordance between the metabolic and gene expression profiles from xenograft models with breast cancer tissue samples from patients indicates that these xenografts are representative models of human breast cancer and represent relevant models to study tumor metabolism in vivo. Gene expression was measured in 30 human breast cancer xenografts, one sample from each model
2014-01-16 | E-GEOD-44666 | biostudies-arrayexpress
Project description:Dysregulated choline metabolism is a well-known feature of breast cancer, but the underlying mechanisms are not fully understood. In this study, the metabolomic and transcriptomic characteristics of a large panel of human breast cancer xenograft models were mapped, with focus on choline metabolism. Methods: Tumor specimens from 34 patient-derived xenograft models were collected and divided in two. One part was examined using high-resolution magic angle spinning (HR-MAS) MR spectroscopy while another part was analysed using gene expression microarrays. Expression data of genes encoding proteins in the choline metabolism pathway were analysed and correlated to the levels of choline (Cho), phosphocholine (PCho) and glycerophosphocholine (GPC) using Pearson’s correlation analysis. For comparison purposes, metabolic and gene expression data were collected from human breast tumors belonging to corresponding molecular subgroups. Results: Most of the xenograft models were classified as basal-like (N=19) or luminal B (N=7). These two subgroups showed significantly different choline metabolic and gene expression profiles. The luminal B xenografts were characterized by a high PCho/GPC ratio while the basal-like xenografts were characterized by highly variable PCho/GPC ratio. Also, Cho, PCho and GPC levels were correlated to expression of several genes encoding proteins in the choline metabolism pathway, including choline kinase alpha (CHKA) and glycerophosphodiester phosphodiesterase domain containing 5 (GDPD5). These characteristics were similar to those found in human tumor samples. Discussion: The higher PCho/GPC ratio found in luminal B compared with most basal-like breast cancer xenograft models and human tissue samples do not correspond to results observed from in vitro studies. It is likely that microenvironmental factors play a role in the in vivo regulation of choline metabolism. Cho, PCho and GPC were correlated to different choline pathway-encoding genes in luminal B compared with basal-like xenografts, suggesting that regulation of choline metabolism may vary between different breast cancer subgroups. The concordance between the metabolic and gene expression profiles from xenograft models with breast cancer tissue samples from patients indicates that these xenografts are representative models of human breast cancer and represent relevant models to study tumor metabolism in vivo.
2014-01-16 | GSE44666 | GEO
Project description:Choline kinase alpha (CHKA) plays a crucial role in the regulation of membrane phospholipid synthesis and has oncogenic properties in vitro. We have analyzed the expression of CHKA in cell lines derived from pancreatic ductal adenocarcinoma (PDAC) and have found increased CHKA expression and a good correlation between protein expression and sensitivity to MN58b, a CHKA inhibitor that reduced cell growth through the induction of apoptosis. Accordingly, CHKA knockdown led to reduced drug sensitivity. In addition, we found that gemcitabine-resistant PDAC cells displayed enhanced sensitivity to CHKA inhibition and, in vitro, MN58b had synergistic effects with gemcitabine, 5-fluorouracil and oxaliplatin, three active drugs in the treatment of PDAC. Using tissue microarrays, CHKA was found to be overexpressed in 90% of pancreatic tumors. While cytoplasmic CHKA did not relate to survival, nuclear CHKA distribution was observed in 43% of samples and was associated with survival, especially among patients with well/moderately differentiated tumors. To identify the mechanisms involved in resistance to CHKA inhibitors, we cultured IMIM-PC-2 cells with continuous incremental concentrations of MN58b and isolated a subline with a 30-fold higher IC50. RNA-Seq analysis identified up-regulation of ABCB1 and ABCB4 multidrug resistance transporters and functional studies confirmed that their up-regulation is the main mechanism involved in resistance. Overall, our findings support the notion that CHKA inhibition merits further attention as a therapeutic option in patients with PDAC.
2017-08-11 | GSE60321 | GEO
Project description:Detection of the abnormal phosphatidylcholine (PtdCho) metabolism in EOC by analysis of magnetic resonance profile (MRS), showed a significant increase of PCho content in EOC cells as compared with non tumoral counterparts associated with activation of choline kinase (ChoK), the enzyme responsible for PCho production following choline phosphorylation in the PtdCho biosynthetic pathway (Kennedy’s pathway). The α-isoform of ChoK has an essential role in growth control and signal transduction and it has been implicated in the carcinogenic process. Aim of the study is the evaluation of the biological relevance of ChoK expression and activity to define its possible role as a non-invasively detectable EOC biomarker and druggable target. We specifically silenced ChoKα expression by transient RNA interference in two different EOC cell lines and evaluated the biological effects related to metabolic profiles, cell proliferation, cell cycle regulation and alteration of global gene expression to possibly identify new pathways implicated in altered choline metabolism. Following ChoKα silencing we observed a 70% reduction of mRNA and protein expression with a similar reduction in PCho accumulation as assessed by HMRS analysis. The ChoKα silencing was accompanied by 20% inhibition of cell growth and similar percentage of cells blocked in the G1-phase of cell cycle. No alteration in cell morphology and modulation of the main survival signaling pathways (PI3K and MAPK-related signaling) were observed. By gene expression analysis we found 476 differentially expressed genes (p< 0.01; FDR 25%) in silenced cells. By transcriptome analysis of CHKA silenced cells as compared to controls, among the most relevant co-repressed genes we found CyclinA, related to regulation of cell cycle progression, and cytokines genes (IL-6 and IL-8) related to inflammation and EOC aggressiveness. Acyl-CoA synthetase medium-chain family member 3 (ACSM3), phosphatidic acid phosphatase type 2 (PPAP2A) and Osteoprotegerin were among the most up-regulated genes. All co-modulated genes have been validated by RTqPCR also in independent biological replicates. Ingenuity System Pathways Analysis (IPA) identified a network of molecules most significantly affected by CHKA silencing whose main functions is related to cell morphology cellular assembly and organization, cellular function and maintenance. Also, the cellular functions predicted to be mostly affected by silencing were cellular movement and cell death that are expected to be respectively decreased and increased in silenced cells. a total of 12 samples were analyzed: Two EOC cell line SKOV3 and INTOV11 were transiently silenced with unrelated or CHKA-specific siRNA pool. Three independent experiment were run for each cell line.
2014-01-23 | E-GEOD-39943 | biostudies-arrayexpress
Project description:Sen2013 - Phospholipid Synthesis in P.knowlesi
The model describes the multiple phospholipid synthetic pathways in Plasmodium knowlesi.
This model is described in the article:
Kinetic modelling of phospholipid synthesis in Plasmodium knowlesi unravels crucial steps and relative importance of multiple pathways.
Sen P, Vial HJ, Radulescu O.
BMC Syst Biol 2013 Nov; 7(1): 123
Abstract:
BACKGROUND: Plasmodium is the causal parasite of malaria, infectious disease responsible for the death of up to one million people each year. Glycerophospholipid and consequently membrane biosynthesis are essential for the survival of the parasite and are targeted by a new class of antimalarial drugs developed in our lab. In order to understand the highly redundant phospholipid synthethic pathways and eventual mechanism of resistance to various drugs, an organism specific kinetic model of these metabolic pathways need to be developed in Plasmodium species. RESULTS: Fluxomic data were used to build a quantitative kinetic model of glycerophospholipid pathways in Plasmodium knowlesi. In vitro incorporation dynamics of phospholipids unravels multiple synthetic pathways. A detailed metabolic network with values of the kinetic parameters (maximum rates and Michaelis constants) has been built. In order to obtain a global search in the parameter space, we have designed a hybrid, discrete and continuous, optimization method. Discrete parameters were used to sample the cone of admissible fluxes, whereas the continuous Michaelis and maximum rates constants were obtained by local minimization of an objective function.The model was used to predict the distribution of fluxes within the network of various metabolic precursors.The quantitative analysis was used to understand eventual links between different pathways. The major source of phosphatidylcholine (PC) is the CDP-choline Kennedy pathway.In silico knock-out experiments showed comparable importance of phosphoethanolamine-N-methyltransferase (PMT) and phosphatidylethanolamine-N-methyltransferase (PEMT) for PC synthesis.The flux values indicate that, major part of serine derived phosphatidylethanolamine (PE) is formed via serine decarboxylation, whereas major part of phosphatidylserine (PS) is formed by base-exchange reactions.Sensitivity analysis of CDP-choline pathway shows that the carrier-mediated choline entry into the parasite and the phosphocholine cytidylyltransferase reaction have the largest sensitivity coefficients in this pathway, but does not distinguish a reaction as an unique rate-limiting step.
CONCLUSION: We provide a fully parametrized kinetic model for the multiple phospholipid synthetic pathways in P. knowlesi. This model has been used to clarify the relative importance of the various reactions in these metabolic pathways. Future work extensions of this modelling strategy will serve to elucidate the regulatory mechanisms governing the development of Plasmodium during its blood stages, as well as the mechanisms of action of drugs on membrane biosynthetic pathways and eventual mechanisms of resistance.
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2024-09-02 | BIOMD0000000495 | BioModels
Project description:Background: Platelets may be pivotal mediators of the thrombo-haemorrhagic complications of preeclampsia (PE), linking inflammation and thrombosis with endothelial and vascular dysfunction. While gestational hypertension (GH) falls within the spectrum of hypertensive complications of pregnancy and is a risk factor for preeclampsia, it is unclear what biomarkers distinguish PE from GH. Aim: To identify specific plasma and platelet thrombo-inflammatory biomarkers indicative of preeclampsia and distinguish PE from GH. Methods: We performed multiplex immunoassays, assessed platelet and plasma proteomics and metabolomics data of PE patients, and compared with non-pregnant (NP), healthy pregnant (PC) and GH participants. Results: We report plasma proteins upregulated, enriched plasma metabolites and proteins distinctly overexpressed in platelets of PE and GH compared to NP and PC. Whilst procoagulation in PC may be fibrinogen driven, Inter-Alpha-Trypsin Inhibitors ITIH2 and ITIH3 were enriched in hypertensive complications of pregnancy (PE and GH), and fibronectin and S100A8/9 may be major procoagulant agonists in PE but not GH. In addition, platelet leucine-rich repeat-containing protein 27 and 42 (LRRC27/42) subunits of volume-regulated VRAC anion channels were markedly overexpressed in preeclampsia and may contribute to the heightened glucose sensitivity and the pro-thrombotic tendency of this disorder. Additionally, our multiplex immunoassays confirmed previous reports of increases in preeclampsia plasma cytokines, including SDF-1α, which can directly activate platelets; but also, i-309 and CTACK cytokines, whose effects on platelets we explored using STRING analysis. Conclusion: We identified biomarkers that may be monitored for preeclampsia onset and progression, and distinguish PE from GH. Also, through protein-protein interactions analysis, we generated a new hypothesis for platelets’ contribution to the thrombo-inflammatory states of preeclampsia.
2022-03-16 | PXD031278 | Pride
Project description:Previous studies have used this model to show that PC-TP has a protective effect when challenged with a methionine and choline depleted diet, known to induce NAFLD. We performed transcription factor binding experiments and show that PPARs are dysregulated in the contect of PC-TP depletion We then performed gene expression profiling analysis using data obtained from RNA-seq of 3 Mice for WT and KO fed either normal chow or methionine and choline depleted chow.
2023-02-12 | GSE224877 | GEO
Project description:Inhibitors of glucose (IO+DHEA group) or fatty acids (ETOMOXIR group) metabolism were applied during bovine oocyte in vitro maturation (IVM). Control group was conducted in standard maturation conditions. In vitro fertilization and embryo culture were applied. Obtained blastocysts were analysed with regard to lipidome, metabolome (mass spectrometry), transcriptome (RNA Seq) and lipid droplets staining (BODIPY).
2023-05-31 | GSE218045 | GEO
Project description:Altered phosphatidylcholine (PC) metabolism in epithelial ovarian cancer (EOC) can provide choline-based imaging approaches as powerful tools to improve diagnosis and identify new therapeutic targets. Biochemical, protein and mRNA expression analyses demonstrated that the increase in the major choline-containing metabolite phosphocholine (PCho) in EOC compared with normal and non-tumoral immortalized counterparts (EONT) mainly rely upon: 1) ChoK activation, consistent with higher protein content and increased ChoK? mRNA expression levels; 2) PC-plc activation, consistent with higher, previously reported, protein expression. More limited and variable sources of PCho could derive, in some EOC cells, from activation of Phospholipase D or GPC-pd. Phospholipase A2 activity and isoforms’ expression levels were lower or unchanged in EOC compared with EONT cells. Increased ChoK? mRNA, as well as ChoK and PC-plc protein expression, were also detected in surgical specimens isolated from EOC patients. Overall, we demonstrated that the elevated PCho pool detected in EOC cells primarily resulted from the upregulation/activation of ChoK and PC-plc involved in the biosynthetic and in a degradative pathway of the PC-cycle, respectively. 20 EOC frozen surgical specimens, 8 EOC cell lines and Ovarian Surface Epithelial (OSE) cells (4 different preparations, 3 of them pooled in one sample).
2009-12-07 | E-GEOD-19352 | biostudies-arrayexpress
Project description:In biopharmaceutical production, Chinese hamster ovary (CHO) cells derived from Cricetulus griseus remain the most commonly used host cell for recombinant protein production, especially antibodies. Over the last decade in-depth multi-omics characterization of these CHO cells provided data for extensive cell line engineering and corresponding increases in productivity. exosomes, extracellular vesicles containing proteins and nucleic acids, are barely researched at all in CHO cells. Exosomes have been proven to be an ubiquitous mediator of intercellular communication and are proposed as new biopharmaceutical format for drug delivery, indicator reflecting host cell condition and anti-apoptotic factor in spent media. Here we sequenced non-coding RNA of Exosomes (EXO) and whole cell lysate (WCL) isolated from CHO-K1 Cell Cultures at different growth phases (logarithmic/exponential phase (log/exp), stationary phase (stat), as well as death phase at 80 % viability (80 % ) and 60 % viability (60 %)) via Lexogen Small RNA-Seq Library Prep Kit for Illumina on the Illumina MiSeq platform in PE mode 2 x 36nt.
2021-01-18 | E-MTAB-9894 | biostudies-arrayexpress