Cocaine-Induced Lipidomic Profiling by LC/MS Analysis
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus Musculus
SUBMITTER: 
Xiaobo Cen
PROVIDER: PXD070814 | iProX | Mon Nov 17 00:00:00 GMT 2025
REPOSITORIES: iProX
Similar Datasets
Project description:Muscle invasive bladder cancer (MIBC) is a heterogeneous disease with a high recurrence rate and poor clinical outcomes. Molecular subtype provides a new framework for the study of MIBC heterogeneity. Clinically, MIBC can be classified as basal and luminal subtypes, they display different clinical and pathological characteristics, but the molecular mechanism is still unclear. Lipidomic and metabolomic molecules have recently been considered to play an important role in the genesis and development of tumors, especially as potential biomarkers. Their different expression profiles in basal and luminal subtypes provide clues for the molecular mechanism of basal and luminal subtypes and the discovery of new biomarkers. Herein, we stratified MIBC patients into basal and luminal subtype using a MIBC classifier based on transcriptome expression profiles. We qualitatively and quantitatively analyzed the lipids and metabolites of basal and luminal MIBC subtypes, and identified differential lipid and metabolite profiles of them. Our results suggest that free fatty acids (FFA) and sulfatides (SL), which are closely associated with immune and stromal cell types, can contribute to the diagnosis of basal and luminal subtypes of MIBC. Moreover, we showe that glycerophosphocholine (GCP)/imidazoles and nucleosides/imidazoles ratios can accurately distinguish the basal and luminal tumors. Overall, by integrating transcriptomic, lipidomic, and metabolomic data, our study reveals specific biomarkers to differentially diagnose basal and luminal MIBC subtypes and may provide a basis for precision therapy of MIBC.
2021-07-08 | GSE179440 | GEO
Project description:Background: The outbreak of coronavirus disease 2019 (COVID-19) poses a considerable health threat to humanity, with potential implications for the ovarian microenvironment remaining uncertain. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Conclusions: By integrating untargeted metabolomic and lipidomic features, we identified biomarkers indicative of oocyte competency influenced by COVID-19.
2024-12-25 | GSE282892 | GEO
Project description:The global metabolomics and non-targeted lipidomic analysis to detect the changes following the depletion of SLC25A22 in PANC1 cells
2023-03-08 | PXD040701 |
Project description:Background: The outbreak of coronavirus disease 2019 (COVID-19) poses a considerable health threat to humanity, with potential implications for the ovarian microenvironment remaining uncertain. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Methods: Transcriptomic and proteomic analyses of ovarian granulosa cells, along with metabolomic and lipidomic profiling of follicular fluid, were conducted on 17 non-COVID-19 cases and 9 COVID-19 cases. This study received approval from the ethics committee (KYLL-2022-581). Generalized estimating equations model was performed to identify oocyte competency biomarkers. Additionally, cell proliferation, apoptosis, and altered pathways were examined following lentivirus transfection. Conclusions: By integrating untargeted metabolomic and lipidomic features, we identified biomarkers indicative of oocyte competency influenced by COVID-19.
2025-05-07 | PXD058234 | Pride
Project description:We investigate the underlying mechanism of the CP inhibition on F. prausnitzii by analysing its effects at the transcriptomic and lipidomic levels.
2024-03-01 | GSE225701 | GEO
Project description:The metabolomic and lipidomic mass spectrometry raw data about biofilms
2024-08-19 | MSV000095639 | MassIVE
Project description:Cassava serves as a primary staple food for over one billion people worldwide. The quality of cassava flour is markedly affected by the oxidation and deterioration of lipids during storage. Despite its significance, the lipid composition of cassava flour and its alterations throughout storage periods have not been extensively studied. This study offers a comprehensive lipidomic analysis of cassava flour over storage periods using liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). The results showed that 545 lipids from five classes and 27 subclasses were identified in cassava flour, including key substances such as free fatty acids (36 species), diglycerides (DGs) (31 species), and triglycerides (TGs) (259 species). Using Metware Cloud for statistical analysis, significant variations were observed in 50 lipid species over long-term storage, reflecting changes in lipid profiles due to storage. These lipids correlate with seven metabolic pathways, among which glycerolipid metabolism is the most affected. The metabolites associated with these pathways can differentiate cassava flour based on the length of storage. This study provides a theoretical basis and storage technology parameters for lipid changes during cassava flour storage.
| S-EPMC11475662 | biostudies-literature
Project description:Integrative Transcriptomic, Lipidomic, and Metabolomic Analysis Reveals Potential Biomarkers of Basal and Luminal Muscle Invasive Bladder Cancer Subtypes
| PRJNA743809 | ENA
Project description:Major depressive disorder (MDD) is a complex condition with unclear pathophysiology. Molecular disruptions within the periphery and limbic brain regions contribute to depression symptomatology. Here, we utilized a mouse chronic stress model of MDD and performed metabolomic, lipidomic, and proteomic profiling on serum plus several brain regions (ventral hippocampus, nucleus accumbens, and prefrontal cortex) of susceptible, resilient, and unstressed control mice. Proteomic analysis identified three serum proteins reduced in susceptible animals; lipidomic analysis detected differences in lipid species between resilient and susceptible animals in serum and brain; and metabolomic analysis revealed pathway dysfunctions of purine metabolism, beta oxidation, and antioxidants, which were differentially associated with stress susceptibility vs resilience by brain region. Antidepressant treatment ameliorated MDD-like behaviors and affected key metabolites within outlined networks, most dramatically in the ventral hippocampus. This work presents a resource for chronic stressinduced, tissue-specific changes in proteins, lipids, and metabolites and illuminates how molecular dysfunctions contribute to individual differences in stress sensitivity
2021-09-08 | PXD013146 | Pride
Project description:Multi-walled carbon nanotubes (MWCNT) present a wide variety of exciting application opportunities. As MWCNT are produced in large quantities, occupational exposure and human health is of particular concern. However, there is no consensus regarding their potential harmful effects. In particular, chronic exposure to MWCNT and mechanisms of their action at protein and lipid levels are unknown. In this study, we aimed to investigate effects of long-term chronic exposure to MWCNT on cellular proteome and lipidome. Since the lung is the major target organ, an in vitro normal bronchial epithelial cell model was used. To better mimic exposure at occupational settings, cells were chronically exposed for 13 weeks to low-doses of MWCNT. MWCNT-treatment increased ROS levels in cells without increasing DNA damage and resulted in differential expression of multiple apoptotic proteins. A shotgun proteomic and lipidomic analysis of the MWCNT-exposed cells showed that of amongst the >5000 identified protein s,groups; more than 200 were altered in treated cells. Functional analysis revealed association of these differentially regulated proteins in various cellular processes such as cell death and survival, cellular assembly and organization. Similarly, the lipid profile of the MWCNT treated cells showed accumulation of multiple lipid classes. This is first study to present results indicating that long-term MWCNT-exposure of human normal lung cells at occupationally relevant low-dose may alter both the proteome and the lipidome profile of target epithelial cells in the lung.
2020-05-06 | PXD005970 | Pride