Article

Benchmarking of spatial transcriptomics platforms across six cancer types

2024-05-21

Abstract excerpt

Spatial biology experiments integrate the molecular and histological landscape of tissues to provide a previously inaccessible view of tissue biology, unlocking the architecture of complex multicellular tissues. Within spatial biology, spatial transcriptomics platforms are among the most advanced, allowing researchers to characterize the expression of thousands of genes across space. These new technologies are tra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 392bdec8-02ce-5419-a947-91ef5d4a5d71
DOI: 10.1101/2024.05.21.593407

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Benchmarking of spatial transcriptomics platforms across six cancer typesDOI 10.1101/2024.05.21.593407Read

A technical comparison of spatial transcriptomics platforms across six cancer typesSemantic proximity Read

Systematic Benchmarking of High-Throughput Subcellular Spatial Transcriptomics PlatformsSemantic proximity Read

Spatial proteomics and transcriptomics characterization of tissue and multiple cancer types including decalcified marrowSemantic proximity Read

A Practical Guide to Spatial Transcriptomics: Lessons from over 1000 SamplesSemantic proximity Read

Spatial omics for profiling the dynamic tumor microenvironmentSemantic proximity Read

Transcriptome Analysis of Archived Tumor Tissues by Visium, GeoMx DSP, and Chromium Methods Reveals Inter- and Intra-Patient HeterogeneitySemantic proximity Read

An experimental comparison of the Digital Spatial Profiling and Visium spatial transcriptomics technologies for cancer researchSemantic proximity Read

STHELAR, a multi-tissue dataset linking spatial transcriptomics and histology for cell type annotationSemantic proximity Read

MOSAIC: Intra-tumoral heterogeneity characterization through large-scale spatial and cell-resolved multi-omics profilingSemantic proximity Read

Benchmarking robust spatial transcriptomics approaches to capture the molecular landscape and pathological architecture of archived cancer tissuesSemantic proximity Read

Tumour evolution and microenvironment interactions in 2D and 3D space.Semantic proximity Read

Mapping Spatiotemporal Heterogeneity in Tumor Profiles by Integrating High-Throughput Imaging and Omics AnalysisSemantic proximity Read