bioRxiv Science⌕ Search

Biology subjects

Heijs, B.

Publications and source records attributed to Heijs, B..

4 recordsLinked to original sources

Immune infiltration is linked to increased transcriptional activity and distinct metabolic profiles in chordomas

Chordomas are ultra-rare cancers from the axial skeleton with limited treatment options. Chordomas can exhibit immunogenic features, and immune checkpoint blockade has demonstrated clinical activity in some patients, yet the determinants of these responses remain poorly understood. We aimed to elucidate the biological basis of immunogenicity in chordomas through spatial transcriptomic and metabolomic analyses. We applied GeoMx digital spatial profiling to 15 chordomas, analyzing tumor and stromal compartments separately and comparing inflamed and non-inflamed tumors. Consecutive tissue sections were examined using MALDI-mass spectrometry imaging (MSI) at 20 {micro}m spatial resolution. Findings were further explored through immunohistochemistry analyses. To assess whether transcriptional activity in tumor cells was associated with interferon-{gamma} (IFN-{gamma}) signaling, we tested the effect of IFN-{gamma} treatment on chordoma cell lines. Digital spatial profiling of inflamed and non-inflamed chordomas revealed striking differences in both the cancer cell and stromal compartments. Increased immune infiltration was strongly associated with elevated transcriptional activity in cancer cells. MALDI-MSI revealed distinct metabolic signatures and pronounced glycogen accumulation in inflamed chordomas. Nevertheless, IFN-{gamma} stimulation of chordoma cell lines did not induce expression of TBXT (brachyury), the master transcriptional regulator of chordoma biology. Collectively, our findings reveal a strong association between the transcriptomic and metabolic activity in chordomas and their immunogenicity. However, the causal direction of this relationship remains to be determined. Nevertheless, these findings are highly relevant for patient stratification, particularly in the context of immunotherapeutic strategies.

cancer biology↗

Integration of Mass Cytometry and Mass Spectrometry Imaging for Spatially Resolved Single Cell Metabolic Profiling

Integration of spatial omics technologies can provide important insights into the biology of tissues. We combined mass spectrometry imaging-based metabolomics and imaging mass cytometry-based immunophenotyping on the same single tissue section to reveal metabolic heterogeneity within tissues and its association with specific cell populations like cancer cells or immune cells. This approach has the potential to greatly increase our understanding of tissue-level interplay between metabolic processes and their cellular components.

cancer biology↗

Discovering Matrix Adducts for Enhanced Metabolite Profiling with Stable Isotope-Labeled MALDI-MSI

Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) is a widely used technique for spatial metabolomics analysis, but the matrix introduces spectral interferences that impede data processing. In this study, we present an experimental and computational workflow utilizing isotopic labeling to discover and annotate matrix adducts in MALDI-MSI. Our approach enables the removal of matrix-related signals, improving metabolite annotation accuracy, extending metabolome coverage, and facilitating the interpretation of tissue morphology.

bioinformatics↗

A lipid atlas of human carotid atherosclerosis

Carotid atherosclerosis is one of the main causes of stroke, mortality and disability worldwide. The disease is characterized by plaques, heterogeneous depositions of lipids and necrotic debris in the vascular wall, which grow gradually and may remain asymptomatic for decades. However, at some point a plaque can evolve to a high-risk plaque phenotype, which may trigger a cerebrovascular event. Lipids play a key role in the development and progression of atherosclerosis. Using matrix-assisted laser desorption/ionization mass spectrometry imaging, we visualized the distribution of approximately 200 lipids in 106 tissue sections of 12 human carotid atherosclerotic plaques. We performed unsupervised classification of the mass spectrometry dataset, as well as a histology-driven multivariate analysis. These data allowed us to compare the spatial lipid patterns with morphological plaque features that have been associated with enhanced risk of symptoms. The abundances of sphingomyelin and oxidized cholesteryl ester species were elevated specifically in necrotic intima areas, while diacylglycerols and triacylglycerols were spatially correlated to areas containing the coagulation protein fibrin. This is the first study to systematically investigate spatial lipid patterns in atherosclerosis, analyze their relation to histological tissue type, and to demonstrate a clear co-localization between plaque features and specific lipid classes and individual lipid molecules in high-risk atherosclerotic plaques.

biochemistry↗