Skip to main content

Quantitative analysis of cell tracing by in vivo imaging system

Summary

In vivo imaging system (IVIS) is a new and rapidly expanding technology, which has a wide range of applications in life science such as cell tracing. By counting the number of photons emitted from a specimen, IVIS can quantify biological events such as tumor growth. We used B16F10-luc-G5 tumor cells and 20 Babl/C mice injected subcutaneously with B16F10-luc-G5 tumor cells (1×106 in 100 μL) to develop a method to quantitatively analyze cells traced by IVIS in vitro and in vivo, respectively. The results showed a strong correlation between the number of tumor cells and the intensity of bioluminescence signal (R2=0.99) under different exposure conditions in in vitro assay. The results derived from the in vivo experiments showed that tumor luminescence was observed in all mice by IVIS at all days, and there was significant difference (P<0.01) between every two days from day 3 to day 14. Moreover, tumor dynamic morphology could be monitored by IVIS when it was invisible. There was a strong correlation between tumor volume and bioluminescence signal (R2=0.97) by IVIS. In summary, we demonstrated a way to accurately carry out the quantitative analysis of cells using IVIS both in vitro and in vivo. The data indicate that IVIS can be used as an effective and quantitative method for cell tracing both in vitro and in vivo.

This is a preview of subscription content, access via your institution.

References

  1. Greer LF, Szalay AA. Imaging of light emission from the expression of luciferases in living cells and organisms: a review. Luminescence, 2002,17(1):43–74

    Article  CAS  PubMed  Google Scholar 

  2. Massoud TF, Gambhir SS. Molecular imaging in living subjects: seeing fundamental biological processes in a new light. Genes Dev, 2003,17(5):545–580

    Article  CAS  PubMed  Google Scholar 

  3. Larmonier N, Janikashvili N, LaCasse CJ, et al. Imatinib mesylate inhibits CD4+ CD25+ regulatory T cell activity and enhances active immunotherapy against BCR-ABL-tumors. J Immunol, 2008,181(10):6955–6963

    CAS  PubMed  Google Scholar 

  4. Han Z, Fu A, Wang H, et al. Noninvasive assessment of cancer response to therapy. Nat Med, 2008,14(3):343–349

    Article  CAS  PubMed  Google Scholar 

  5. Xue W, Zender L, Miething C, et al. Senescence and tumour clearance is triggered by p53 restoration in murine liver carcinomas. Nature, 2007,445(7128):656–660

    Article  CAS  PubMed  Google Scholar 

  6. Tammela T, Saaristo A, Holopainen T, et al. Therapeutic differentiation and maturation of lymphatic vessels after lymph node dissection and transplantation. Nat Med, 2007,13(12):1458–1466

    Article  CAS  PubMed  Google Scholar 

  7. Stephan MT, Ponomarev V, Brentjens RJ, et al. T cell-encoded CD80 and 4-1BBL induce auto- and transcostimulation, resulting in potent tumor rejection. Nat Med, 2007,13(12):1440–1449

    Article  CAS  PubMed  Google Scholar 

  8. Dentin R, Liu Y, Koo SH, et al. Insulin modulates gluconeogenesis by inhibition of the coactivator TORC2. Nature, 2007,449(7160):366–369

    Article  CAS  PubMed  Google Scholar 

  9. Zhang L, Lee KC, Bhojani MS, et al. Molecular imaging of Akt kinase activity. Nat Med, 2007,13(9):1114–1119

    Article  CAS  PubMed  Google Scholar 

  10. Dierks C, Grbic J, Zirlik K, et al. Essential role of stromally induced hedgehog signaling in B-cell malignancies. Nat Med, 2007,13(8):944–951

    Article  CAS  PubMed  Google Scholar 

  11. Barberi T, Bradbury M, Dincer Z, et al. Derivation of engraftable skeletal myoblasts from human embryonic stem cells. Nat Med, 2007,13(5):642–648

    Article  CAS  PubMed  Google Scholar 

  12. Hajitou A, Rangel R, Trepel M, et al. Design and construction of targeted AAVP vectors for mammalian cell transduction. Nat Prot, 2007,2(3):523–531

    Article  CAS  Google Scholar 

  13. Murphy GJ, Mostoslavsky G, Kotton DN, et al. Exogenous control of mammalian gene expression via modulation of translational termination. Nat Med, 2006,12(9): 1093–1099

    Article  CAS  PubMed  Google Scholar 

  14. Zakrzewski JL, Kochman AA, Lu SX, et al. Adoptive transfer of T-cell precursors enhances T-cell reconstitution after allogeneic hematopoietic stem cell transplantation. Nat Med, 2006,12(9):1039–1047

    Article  CAS  PubMed  Google Scholar 

  15. Negrin RS, Contag CH. In vivo imaging using bioluminescence: a tool for probing graft-versus-host disease. Nat Rev, 2006,6(6):484–490

    Article  CAS  Google Scholar 

  16. Franke-Fayard B, Waters AP, Janse CJ. Real-time in vivo imaging of transgenic bioluminescent blood stages of rodent malaria parasites in mice. Nat Prot, 2006,1(1): 476–485

    Article  CAS  Google Scholar 

  17. Wehrman TS, von Degenfeld G, Krutzik PO, et al. Luminescent imaging of β-galactosidase activity in living subjects using sequential reporterenzymeluminescence. Nat Methods, 2006,3(4):295–301

    Article  CAS  PubMed  Google Scholar 

  18. Thorne SH, Negrin RS, Contag CH. Synergistic antitumor effects of immune cell-viral biotherapy. Science, 2006,311:1780–1784

    Article  CAS  PubMed  Google Scholar 

  19. Minn AJ, Gupta GP, Siegel PM, et al. Genes that mediate breast cancer metastasis to lung. Nature, 2005,436(28): 518–524

    Article  CAS  PubMed  Google Scholar 

  20. Morizono K, Xie Y, Ringpis GE, et al. Lentiviral retargeting to P-glycoprotein on metastatic melanoma through intravenous injection. Nat Med, 2005,11(3):346–352

    Article  CAS  PubMed  Google Scholar 

  21. Kim JH, Kim B, Cai L, et al. Transcriptional regulation of a metastasis suppressor gene by Tip60 and β-catenin complexes. Nature, 2005,434(7035):921–926

    Article  CAS  PubMed  Google Scholar 

  22. Hoebe K, Georgel P, Rutschmann S, et al. CD36 is a sensor of diacylglyerides. Nature, 2005,433(7025):523–527

    Article  CAS  PubMed  Google Scholar 

  23. Bins AD, Jorritsma A, Wolkers MC, et al. A rapid and potent DNA vaccination strategy defined by in vivo monitoring of antigen expression. Nat Med, 2005,11(8):899

    Article  CAS  PubMed  Google Scholar 

  24. Gross S, Piwnica-Worms D. Real-time imaging of ligand-induced IKK activation in intact cells and in living mice. Nat Methods, 2005,2(8):607–614

    Article  CAS  PubMed  Google Scholar 

  25. Levenberg S, Rouwkema J, Macdonald M, et al. Engineering vascularized skeletal muscle tissue. Nat Biotechnol, 2005,23(7):879–884

    Article  CAS  PubMed  Google Scholar 

  26. Greer LF, Szalay AA. Imaging of light emission from the expression of luciferases in living cells and organisms: a review. Luminescence, 2002,17(1):43–74

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Zhonghua Chen.

Additional information

These authors contributed equally to this work.

This project was supported by a grant from the National Natural Sciences Foundation of China (No. 30901364), and grants from the National Basic Research Program of China (No. 2003CB515505, 2009CB522407).

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Zheng, J., Xu, L., Zhou, H. et al. Quantitative analysis of cell tracing by in vivo imaging system. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 30, 541–545 (2010). https://doi.org/10.1007/s11596-010-0465-x

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11596-010-0465-x

Key words

  • in vivo imaging system
  • cell tracing
  • quantitative analysis