Dataset Information

Spatially-guided metabolomics profiling of heterogeneous human tumor tissues

ABSTRACT: Bulk high-resolution mass spectrometry can provide sensitive and global snapshots of metabolites involved in cancer metabolism. However, intra-tumor heterogeneity (IntraTH) convolutes the cellular origins and tumor pathologies associated with the detected metabolites, thus making the elucidation of reproducible metabolic pathways and/or biomarkers very challenging. Here, we present “Spatially-guided MEtabolomics (SgME) profiling”, a multi-modal metabolomics data analysis approach to delineate IntraTH by integrating spatial and bulk metabolomics profiles from the same tumors. We applied SgME profiling to 117 tumor and adjacent normal tissues from 26 surgically resected primary liver tumors, and constructed SgME maps of metabolic regions (MERs) associated with key histopathological features. We used these maps to survey IntraTH and train regression models that accurately predict the MER compositions of bulk tumor samples. We also discovered a group of putative metabolites that increase in low-grade tumor regions but abruptly decrease in necrotic regions. SgME profiling may also be applied to heterogeneous tissues from other cancer types or metabolic diseases and provide systems-level understandings of the roles of local cellular niches in cancer metabolism and tumorigenesis.

ORGANISM(S): Homo sapiens

PROVIDER: GSE312327 | GEO | 2026/05/06

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: Arachidonic acid (AA) metabolism pathway is dominant in metabolic programming after hypoxia exposure, but its biological function is disputed and require in-depth studies. In this research, we aimed at integrating plasma metabolomics and transcriptomics approaches to systematically explore its roles in response to acute hypoxia based on model of acute high-altitude exposure. Methods: Blood samples were taken from 53 enrolled subjects before and after their exposure to high altitude. Ultra-performance liquid chromatography- quadrupole time-of-flight mass spectrometry and RNA sequencing were performed to acquire corresponding metabolomic and transcriptomic profiling along with hypoxia exposure, separately. Influential modules comprising essential metabolites and genes were identified by weighted gene co-expression network analysis (WGCNA) after integrating metabolic information with phenotypic and transcriptomic datasets, respectively. Results: Enrolled individuals showed significant alterations in heart rate, SpO2, hemoglobin and Lake Louise Score (LLS) in response to hypoxia. Metabolomics profiling demonstrated that AA metabolism pathway was remarkable in these metabolic alterations. Integrated analysis of metabolomic and transcriptomic data revealed that increasing AA metabolism pathway might count for gas transport incapacitation and disorders in hemoglobin metabolism under hypoxia stimuli. Moreover, identified in further analysis and another cohort, excessively elevated AA metabolism pathway was involved in poor response to hypoxia. Conclusion: Our study, for the first time, constructed the maps of AA metabolism pathway in response to hypoxia; and revealed the crosstalk between phenotypic variation to hypoxia and AA metabolism pathway. These findings will not only advanced pathophysiological mechanisms for acute hypoxic diseases, but provided new insights into critical roles of AA metabolism pathway in development and prevention of these diseases.

Dataset Information

Spatially-guided metabolomics profiling of heterogeneous human tumor tissues

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets