American Association for Cancer Research
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Supplementary Figure 3 from Mapping the Single-Cell Differentiation Landscape of Osteosarcoma

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posted on 2024-08-01, 07:23 authored by Danh D. Truong, Corey Weistuch, Kevin A. Murgas, Prasad Admane, Bridgette L. King, Jes Chauviere Lee, Salah-E. Lamhamedi-Cherradi, Jyothishmathi Swaminathan, Najat C. Daw, Nancy Gordon, Vidya Gopalakrishnan, Richard G. Gorlick, Neeta Somaiah, Joseph O. Deasy, Antonios G. Mikos, Allen Tannenbaum, Joseph Ludwig

Cluster markers for each of the MTL clusters

Funding

National Cancer Institute (NCI)

United States Department of Health and Human Services

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Air Force Office of Scientific Research (AFOSR)

Army Research Office (ARO)

National Institute on Aging (NIA)

United States Department of Health and Human Services

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Breast Cancer Research Foundation (BCRF)

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ARTICLE ABSTRACT

The genetic intratumoral heterogeneity observed in human osteosarcomas poses challenges for drug development and the study of cell fate, plasticity, and differentiation, which are processes linked to tumor grade, cell metastasis, and survival. To pinpoint errors in osteosarcoma differentiation, we transcriptionally profiled 31,527 cells from a tissue-engineered model that directs mesenchymal stem cells toward adipogenic and osteoblastic fates. Incorporating preexisting chondrocyte data, we applied trajectory analysis and non-negative matrix factorization to generate the first human mesenchymal differentiation atlas. This “roadmap” served as a reference to delineate the cellular composition of morphologically complex osteosarcoma tumors and quantify each cell’s lineage commitment. Projecting a bulk RNA-sequencing osteosarcoma dataset onto this roadmap unveiled a correlation between a stem-like transcriptomic phenotype and poorer survival outcomes. Our study quantifies osteosarcoma differentiation and lineage, a prerequisite to better understanding lineage-specific differentiation bottlenecks that might someday be targeted therapeutically.

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    Clinical Cancer Research

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    Keywords

    Computational MethodsMathematical modelingSarcomasOsteosarcomaSingle Cell TechnologiesStem Cell BiologyDedifferentiationMesenchymal stem cellsTumor Heterogeneity

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    CC BY

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