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Efficient and multiplexed tracking of single cells using whole-body PET/CT.
Nguyen, Hieu T M; Das, Neeladrisingha; Wang, Yuting; Ruvalcaba, Carlos; Mehadji, Brahim; Roncali, Emilie; Chan, Charles K F; Pratx, Guillem.
Affiliation
  • Nguyen HTM; Stanford University, School of Medicine, Department of Radiation Oncology and Medical Physics.
  • Das N; Stanford University, School of Medicine, Department of Radiation Oncology and Medical Physics.
  • Wang Y; Stanford University, School of Medicine, Department of Surgery.
  • Ruvalcaba C; University of California, Davis, Department of Biomedical Engineering.
  • Mehadji B; University of California, Davis, Department of Radiology.
  • Roncali E; University of California, Davis, Department of Biomedical Engineering.
  • Chan CKF; University of California, Davis, Department of Radiology.
  • Pratx G; Stanford University, School of Medicine, Department of Surgery.
bioRxiv ; 2023 Sep 01.
Article in En | MEDLINE | ID: mdl-37662335
In vivo molecular imaging tools are crucially important for elucidating how cells move through complex biological systems, however, achieving single-cell sensitivity over the entire body remains challenging. Here, we report a highly sensitive and multiplexed approach for tracking upwards of 20 single cells simultaneously in the same subject using positron emission tomography (PET). The method relies on a new tracking algorithm (PEPT-EM) to push the cellular detection threshold to below 4 Bq/cell, and a streamlined workflow to reliably label single cells with over 50 Bq/cell of 18F-fluorodeoxyglucose (FDG). To demonstrate the potential of method, we tracked the fate of over 70 melanoma cells after intracardiac injection and found they primarily arrested in the small capillaries of the pulmonary, musculoskeletal, and digestive organ systems. This study bolsters the evolving potential of PET in offering unmatched insights into the earliest phases of cell trafficking in physiological and pathological processes and in cell-based therapies.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Country of publication: