Integration of Elemental Imaging and Spatial Transcriptomic Profiling for Proof-of-Concept Metals-Based Pathway Analysis of Colon Tumor Microenvironment
Srivastava, A.; Shaik, N.; Lu, Y.; Chan, M.; Diallo, A. B.; Han, S.; Punshon, T.; Jackson, B. P.; Vahdat, L. T.; Liu, X.; Mittal, V.; Lau, K. S.; Gui, J.; Vaickus, L. J.; Hoopes, J.; Kolling, F. W.; Perreard, L.; Marotti, J. D.; Levy, J.
Show abstract
The complex interplay between metal abundance, transport mechanisms, cell distribution, and tumor progression-related biological pathways (e.g., metabolism, collagen remodeling) remains poorly understood. Traditionally, genes and metals have been studied in isolation, limiting insights into their interactions. Recent advances in spatial transcriptomics and elemental profiling now enable comprehensive exploration of tissue-wide metal-gene interactions, though integration remains challenging. In this proof-of-concept study, we investigated metal-dependent signaling within the tumor microenvironment of a unique colorectal cancer (CRC) tumor. We implemented a spatial multimodal workflow which integrated elemental imaging, gene expression, cellular composition, and histopathological features to uncover metals-related pathways through spatially resolved differential expression analysis. Preliminary findings revealed significant associations, for instance: elevated iron correlated with mesenchymal phenotypes located at the tumors proliferative front, reflecting epithelial-to-mesenchymal transition pathways, and extracellular matrix remodeling. High concentrations of copper were predominantly localized in regions of active tumor growth and associated with the upregulation of immune response genes. This proof-of-concept workflow demonstrates the feasibility of integrating elemental imaging with spatial transcriptomics to identify metals-based gene correlates. Future application of this workflow to larger patient cohorts will pave the way for expansive comparisons across the metallome and transcriptome, ultimately identifying novel targets for tumor progression biomarkers and therapeutic interventions.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Controlling pericellular oxygen tension in cell culture reveals distinct breast cancer responses to low oxygen tensions 92%
- Longitudinal single-cell chemical imaging of engineered strains reveals heterogeneity in fatty acid production 92%
- Multifaceted proteome analysis at solubility, redox, and expression dimensions for target identification 91%
Similar papers in this journal
- TidyMass2: Advancing LC-MS Untargeted Metabolomics Through Metabolite Origin Inference and Metabolic Feature-based Functional Module Analysis 93%
- Immunocompetent Cell Targeting by Food-Additive Titanium Dioxide 93%
- Raman micro-spectroscopy reveals the spatial distribution of fumarate in cells and tissues. 93%
Similar papers in this journal
- Treatment of wound infections in a mouse model using Zn2+-releasing phage bound to gold nanorods 92%
- Live microscopy of multicellular spheroids with the multi-modal near-infrared nanoparticles reveals differences in oxygenation gradients 91%
- Novel correlative microscopy approach for nano-bio interface studies of nanoparticle-induced lung epithelial cell damage 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.