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An integrated approach for analyzing spatially resolved multi-omics datasets from the same tissue section
As spatial biology methods mature, users are increasingly combining multiple readouts for a holistic view of tissue biology. This paper presents a software and a computational framework for integration and data analysis of same-section spatial transcriptomics and spatial proteomics data acquired using different spatial platforms.
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Integration of Multiple Spatial Omics Modalities Reveals Unique Insights into Molecular Heterogeneity of Prostate Cancer
In this preprint, we integrated spatial transcriptomics, mass spectrometry-based lipidomics, single nucleus RNA-seq and histomorphological information from human prostate cancer patient samples. This provided novel insights into correlating genes and lipids linked to distinct cell populations and histopathological disease states, as well as comparisons across samples in a tissue cohort.
Cancer Research
Exploratory Analyses
lipidomics
mass spectrometry imaging
spatial transcriptomics

Integrating Ambient Ionization Mass Spectrometry Imaging and Spatial Transcriptomics on the Same Cancer Tissues to Identify RNA–Metabolite Correlations
This study presents a novel workflow for mapping the location and abundance of mRNA and metabolites from the same tissue section, allowing identification of thousands of spatially correlating genes and metabolites.
lipidomics
mass spectrometry imaging
Exploratory Analyses
Cancer Research
spatial technologies

Toward Omics-Scale Quantitative Mass Spectrometry Imaging of Lipids in Brain Tissue Using a Multiclass Internal Standard Mixture
This paper demonstrates an approach for conducting quantitative mass spectrometry imaging (MSI) of lipids directly from brain tissue sections. This greatly expands the utility of MSI for spatial lipidomics.
lipidomics
mass spectrometry imaging
central nervous system
Exploratory Analyses

Classification of cirrhotic patient samples based on imaging MS of multiplexed N-glycan markers in biofluids.
This poster is an example of how Aspect Analytics can be your partner to develop specialized bioinformatic and data analysis workflows for your specific use-case or application.
Pathway Analyses
Targeted Analyses