Impaired coordination between signaling pathways is revealed in human colorectal cancer using single-cell mass cytometry of archival tissue blocks

• Published in: Science signaling Vol. 9; no. 449; p. rs11
• Main Authors: Simmons, Alan J, Scurrah, Cherié R, McKinley, Eliot T, Herring, Charles A, Irish, Jonathan M, Washington, M Kay, Coffey, Robert J, Lau, Ken S
• Format: Journal Article
• Language: English
• Published: United States 11.10.2016
• Subjects: Animals; Colorectal Neoplasms - metabolism; Colorectal Neoplasms - pathology; Female; Humans; Image Cytometry; Male; MAP Kinase Signaling System; Mass Spectrometry; Mice; Neoplasm Proteins - metabolism; Paraffin Embedding
• ISSN: 1937-9145
• DOI: 10.1126/scisignal.aah4413

Cellular heterogeneity poses a substantial challenge to understanding tissue-level phenotypes and confounds conventional bulk analyses. To analyze signaling at the single-cell level in human tissues, we applied mass cytometry using cytometry time of flight to formalin-fixed, paraffin-embedded (FFPE) normal and diseased intestinal specimens. This technique, called FFPE-DISSECT (disaggregation for intracellular signaling in single epithelial cells from tissue), is a single-cell approach to characterizing signaling states in embedded tissue samples. We applied FFPE-DISSECT coupled to mass cytometry and found differential signaling by tumor necrosis factor-α in intestinal enterocytes, goblet cells, and enteroendocrine cells, implicating the downstream RAS-RAF-MEK pathway in determining goblet cell identity. Application of this technique and computational analyses to human colon specimens confirmed the reduced differentiation in colorectal cancer (CRC) compared to normal colon and revealed increased intratissue and intertissue heterogeneity in CRC with quantitative changes in the regulation of signaling pathways. Specifically, coregulation of the kinases p38 and ERK, the translation regulator 4EBP1, and the transcription factor CREB in proliferating normal colon cells was lost in CRC. Our data suggest that this single-cell approach, applied in conjunction with genomic annotation, enables the rapid and detailed characterization of cellular heterogeneity from clinical repositories of embedded human tissues. This technique can be used to derive cellular landscapes from archived patient samples (beyond CRC) and as a high-resolution tool for disease characterization and subtyping.