CosMx® Human Whole Transcriptome Colon Dataset

This dataset demonstrates the power of the CosMx SMI in characterizing clinical Sigmoid Adenocarcinoma samples. Utilizing the commercially available CosMx Human Whole Transcriptome Panel, we analyzed a G1, Stage IVA T3N0M1a primary sigmoid tumor from a 56 year old Caucasian female donor. By applying this high plex assay to Colon FFPE tissue, we captured the entire protein encoding transcriptome at the single cell subcellular resolution. This level of detail provides the most comprehensive biological story of the colorectal tumor microenvironment. By visualizing the distribution of the whole transcriptome in these complex samples, researchers can identify unique molecular signatures and cellular interactions that drive metastatic progression, paving the way for the next generation of precision oncology in colorectal cancer.
The CosMx® SMI and decoder probes are not offered and/or delivered to the Federal Republic of Germany for use in the Federal Republic of Germany for the detection of cellular RNA, messenger RNA, microRNA, ribosomal RNA and any combinations thereof in a method used in fluorescence in situ hybridization for detecting a plurality of analytes in a sample without the consent of the President and Fellows of Harvard College (Harvard Corporation) as owner of the German part of EP 2 794 928 B1. The use for the detection of cellular RNA, messenger RNA, microRNA, ribosomal RNA and any combinations thereof is prohibited without the consent of the President and Fellows of Harvard College (Harvard Corporation).
*defined-by: (transcripts per plex per cell) / (negatives per plex per cell)
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Dataset Overview
To showcase the CosMx SMI’s Whole Transcriptome capabilities,
view the UMAP and tissue image below.

Complete coverage of pathways.
Project the entire tissue biology at the RNA pathway level to generate a “molecular fingerprint” of each tissue sample and shift from inferring biology to direct, functional measurements.

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Technology Publication:
High-Plex Multiomic Analysis in FFPE Tissue at Single-Cellular and Subcellular Resolution by Spatial Molecular Imaging