five

Murine TIL spike-in

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NIAID Data Ecosystem2026-03-10 收录
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http://flowrepository.org/id/FR-FCM-ZY66
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To determine the sensitivity and specificity of unsupervised detection of murine tumor infiltrating lymphocyte populations in a de novo fashion from mass cytometry data. Conclusion: Unsupervised clustering (e.g. PhenoGraph) can detect distinct lymphocyte populations (e.g. spike-in populations) in the context of TIL in a highly sensitive and specific manner. Notes: MC38 colorectal tumors were subcutaneously implanted in female C57BL/6J mice (CD45.2). Single cell suspensions of TILs were then spiked with 0, 1, 5, or 20% CD45.1 naive lymphocytes on a per sample (mouse) basis. Samples were barcoded and acquired simultaneously. Data were bead normalized (beads not removed from fcs files) and debarcoded.
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2017-08-01
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