microrna-amplification-recognition-through-locked-nucleic-acid-situ

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

When using traditional probe-based in situ hybridization (ISH) imaging detection methods, microRNAs (miRNAs) are difficult to capture due to their size, ...

rna-situ-hybridization-with-sequential-protein-immunofluorescence

RNA In situ Hybridization with Sequential Protein Immunofluorescence in Tandem Assay

The functionality of cells within a host does not depend on isolated signals. Instead, all components, from the smallest RNA molecules to the largest ...

sequential-detection-biomolecules-formalin-fixed-paraffin-embedded

Sequential Detection of Biomolecules in Formalin-fixed, Paraffin-embedded Samples with Mass Spectrometry Imaging

Tissues are complex cellular environments, made up of a vast array of cell types and biomolecules all interacting with each other to carry out the ...

comprehensive-spatial-profiling-species-agnostic-transcriptomes-via

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

The spatial composition of cells within the host, as well as the bacteria or viral loads within the tissue, can impact the interaction of cell types and ...

dual-modality-molecular-cartography-integrating-multiplex-mrna

Dual-modality Molecular Cartography: Integrating Multiplex mRNA Detection with Protein Imaging Mass Cytometry

The ability to detect protein and mRNA in the same assay helps us understand how the cell is priming for an arrival and what cues it receives as it ...

The University of Texas MD Anderson Cancer Center

Most platforms used for the molecular reconstruction of the tumor-immune microenvironment (TIME) of a solid tumor fail to explore the spatial context of the three-dimensional (3D) space of the tumor at a single-cell resolution, and thus lack information about cell-cell or cell-extracellular matrix (ECM) interactions. To address this issue, a pipeline which integrated multiplex spatially resolved multi-omics platforms was developed to identify crosstalk signaling networks among various cell types and the ECM in the 3D TIME of two FFPE (formalin-fixed paraffin embedded) gynecologic tumor samples. These platforms include non-targeted mass spectrometry imaging (glycans, metabolites, and peptides) and Stereo-seq (spatial transcriptomics) and targeted seqIF (IHC proteomics). The spatially resolved imaging data in a two- and three-dimensional space demonstrated various cellular neighborhoods in both samples. The collection of spatially resolved analytes in a voxel (3D pixel) across serial sections of the tissue was also demonstrated. Data collected from this analytical pipeline were used to construct spatial 3D maps with single-cell resolution, which revealed cell identity, activation, and energized status. These maps will provide not only insights into the molecular basis of spatial cell heterogeneity in the TIME, but also novel predictive biomarkers and therapeutic targets, which can improve patient survival rates.

ArticleTotal : 5	Year
Publication title Cited by 1	2025
Publication title	2025
Publication title	2025
Publication title	2025
Publication title	2025

Basant T. Gamal

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