OMIP‐045: Characterizing human head and neck tumors and cancer cell lines with mass cytometry

Abstract

A 42-parameter panel (34 antibody targets, cisplatin for live/dead, iridium for cell identification, and 6 barcodes) was developed for the characterization of cell types and signaling pathways present in tumor tissues or cell lines originating from primary, metastatic and recurrent head and neck squamous cell carcinoma (HNSCC), the most prevalent malignant tumor of the head and neck region and the 6th most common form of non-skin cancer worldwide (1) ( Table 1). Importantly, due to overlap in targets and markers across diverse tumor entities [e.g., HER2 amplification is present in both breast and gastric tumors (2,3)], the described panel may be appropriate for use in preclinical models of additional distinct solid as well as hematological malignancies. This panel has been successfully tested on fresh, formalin-fixed, and frozen cells originating from cell lines derived from primary and metastatic/ recurrent tumors and from patients' tumor tissue.

Beyond the message: advantages of snapshot proteomics with single‐cell mass cytometry in solid tumors

“…Its multiplexing capabilities together with the recently developed computational tools provide for a much deeper and a systems level of understanding of signaling networks than traditionally possible. Its use is growing to study signaling in many solid tumor cell lines (adenoid cystic carcinoma , melanoma , head and neck squamous cell carcinoma , and neuroblastoma ) as well as primary samples of solid tumors (colon cancer , high‐grade serous ovarian tumors , head and neck squamous cell carcinoma , and glioblastoma ).…”

OMIP‐054: Broad Immune Phenotyping of Innate and Adaptive Leukocytes in the Brain, Spleen, and Bone Marrow of an Orthotopic Murine Glioblastoma Model by Mass Cytometry

“…Previously, three other mass cytometry panels have been published. They focus on the characterization of human peripheral leukocytes (OMIP‐34), human head and neck cancer (OMIP‐45), and the quantification of calcium sensors and channels in lymphocyte subsets . This is the first mass cytometry OMIP for a comprehensive characterization of the mouse immune system.…”

Computational Cytometry

“…Due to the ever increasing volume of data obtained by OMICS technologies, computational tools become indispensable to generate a systematic understanding of these data and break down highest dimensionality into few so that they become comprehensible for our mind that is quite limited in imagining multidimensional fields. In cytometry, various clustering approaches are in use and also since recently complementary data display of Boolean gating in 2D dot‐plots (see as examples and Buus and colleagues (this issue, pages 726–729)).…”