Lineage Tracing and Molecular Real-Time Imaging of Cancer Stem Cells

Biosensors (Basel). 2022 Sep 1;12(9):703. doi: 10.3390/bios12090703.

Abstract

The cancer stem cells (CSC) are the roots of cancer. The CSC hypothesis may provide a model to explain the tumor cell heterogeneity. Understand the biological mechanism of CSC will help the early detection and cure of cancer. The discovery of the dynamic changes in CSC will be possible by the using of bio-engineering techniques-lineage tracing. However, it is difficult to obtain real-time, continuous, and dynamic live-imaging information using the traditional approaches that take snapshots of time points from different animals. The goal of molecular imaging is to monitor the in situ, continuous molecular changes of cells in vivo. Therefore, the most advanced bioengineering lineage tracing approach, while using a variety of molecular detection methods, will maximize the presentation of CSC. In this review, we first introduce the method of lineage tracing, and then introduce the various components of molecular images to dynamic detect the CSC. Finally, we analyze the current situation and look forward the future of CSC detection.

Keywords: cancer stem cells; lineage tracing; molecular imaging.

Publication types

  • Review

MeSH terms

  • Animals
  • Neoplasms* / diagnostic imaging
  • Neoplasms* / pathology
  • Neoplastic Stem Cells* / pathology

Grants and funding

This study was supported by the National Key Research and Development Program of China No. 2017YFA0205200, 2017YFA0700401, the National Natural Science Foundation of China under Grant No. U21A20386, 62027901, 81930053, 81227901, 31871111, 8190070112, the Chinese Academy of Sciences under Grant No. GJJSTD20170004 and QYZDJ-SSW-JSC005, the Key Research Program of Frontier Sciences No. QYZDY-SSW-SMC013, the Beijing-Tianjin-Hebei Basic Research Cooperation Special Program No. 19JCZDJC65300, the CAS Key Laboratory of Mental Health Grant No. KLMH2020K02, the Laboratory Innovation Fund of Tsinghua University No. 531001019, 100006029, and the Project of High-Level Talents Team Introduction in Zhuhai City, Zhuhai HLHPTP20170.