Rare osteosarcoma cell subpopulation protein array and profiling using imaging mass cytometry and bioinformatics analysis

Single rare cell characterization represents a new scientific front in personalized therapy. Imaging mass cytometry (IMC) may be able to address all these questions by combining the power of MS-CyTOF and microscopy. We have investigated this IMC method using

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Bibliographische Detailangaben
Veröffentlicht in:	BMC cancer 2020-07, Vol.20 (1), p.715-715, Article 715
Hauptverfasser:	Batth, Izhar S, Meng, Qing, Wang, Qi, Torres, Keila E, Burks, Jared, Wang, Jing, Gorlick, Richard, Li, Shulin
Format:	Artikel
Sprache:	eng
Schlagworte:	Actins - analysis Antibodies Bioinformatics Biopsy Biopsy, Fine-Needle Bone cancer Bone Neoplasms - pathology Cell Line, Tumor Circulating tumor cells (CTCs) Computational Biology Copy number variations (CNV) Cytometry DNA Copy Number Variations DNA Fingerprinting Embedding Flow cytometry Fluorescence associated cell-sorting (FACS) Gene expression Humans Image Cytometry - methods Imaging mass cytometry (IMC) Labeling Liquid Biopsy Localization Medical prognosis Methods Neoplastic Cells, Circulating - pathology Osteosarcoma Osteosarcoma - pathology Patient-derived xenograft (PDX) Protein Array Analysis - methods Protein arrays Proteins Sarcoma Smooth muscle Stochasticity Studies T-distributed stochastic neighbor embedding (t-SNE) Tumor cell lines Tumors Vimentin - analysis Xenografts
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Beschreibung
Zusammenfassung:	Single rare cell characterization represents a new scientific front in personalized therapy. Imaging mass cytometry (IMC) may be able to address all these questions by combining the power of MS-CyTOF and microscopy. We have investigated this IMC method using
ISSN:	1471-2407 1471-2407
DOI:	10.1186/s12885-020-07203-7