Automated Author Profile

Zhong, Xiaoxu

Stanford University School of Medicine

Current S-Index

2.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Ultra-sensitive and multiplexed tracking of single cells using whole-body PET/CT (Version: 5)

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 statistical tracking algorithm (PEPT-EM) to achieve a sensitivity of 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 the 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.

Authors

  • Nguyen, Hieu T. M. ;
  • Das, Neeladrisingha ;
  • Ricks, Matthew ;
  • Zhong, Xiaoxu ;
  • Takematsu, Eri ;
  • Wang, Yuting ;
  • Ruvalcaba, Carlos ;
  • Mehadji, Brahim ;
  • Roncali, Emilie ;
  • Chan, Charles K. F. ;
  • Pratx, Guillem
2 Citations0 Mentions77% FAIR2.3 Dataset Index
10.5061/dryad.3bk3j9kt4May 2024