Helping Your Research
Human Single-Cell Spatial RNA Analysis
The CosMx Human Universal Cell Characterization Panel is designed to provide robust cell typing, cell-cell interaction analysis, and more in a wide range of human tissues and disease states. Profile expression of 1000 highly curated targets at subcellular resolution and customize with up to 50 of your own targets.
How it Works
The CosMx Human Universal Cell Characterization Panel is a fully validated RNA assay for the CosMx Spatial Molecular Imager that provides robust tissue mapping, cell typing, and analysis of cell states and interactions on a wide range of human tissues and solid tumors.
Provides robust tissue mapping, cell typing, and analysis of cell states and interactions on a wide range of human tissue and organs.
Reveals interactions between cells including ligand-receptor interactions, interferon response, and signaling pathways such as MAPK, NF-kB, Wnt, and Shh
Profile states of metabolism, circadian rhythm, antigen presentation, damage, activation, checkpoints, inflammation, proliferation, secretion, stress-response, wound healing, and much more.
Compatible with up to 50 custom targets as well as up to five CosMx Segmentation Markers
Publications & Posters
Opposing immune and genetic mechanisms shape oncogenic programs in synovial sarcoma
Synovial sarcoma (SyS) is an aggressive neoplasm driven by the SS18-SSX fusion, and is characterized by low T cell infiltration. Here, we studied the cancer-immune interplay in SyS using an integrative approach that combines single-cell RNA sequencing (scRNA-seq), spatial profiling and genetic and pharmacological perturbations.
The spatial landscape of lung pathology during COVID-19 progression.
Recent studies have provided insights into the pathology and immune response to coronavirus disease 2019 (COVID-19)1–8. However, thorough interrogation of the interplay between infected cells and the immune system at sites of infection is lacking.
Temporal and spatial heterogeneity of host response to SARS-CoV-2 pulmonary infection
The relationship of SARS-CoV-2 pulmonary infection and severity of disease is not fully understood. Here we show analysis of autopsy specimens from 24 patients who succumbed to SARS-CoV-2 infection using a combination of different RNA and protein analytical platforms to characterize inter-patient and intra-patient heterogeneity of pulmonary virus infection.
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