Magnetovacci nation as a novel method to assess and quantify dendritic cell tumor antigen capture and delivery to lymph nodes

Christopher M. Long, Hanneke W.M. Van Laarhoven, Jeff W.M. Bulte, Hyam I. Levitsky

Research output: Contribution to journalArticlepeer-review

69 Scopus citations


A major parameter limiting immune responses to vaccination is the number of activated antigen-presenting cells (APC) that capture antigen and migrate to draining lymph nodes (LN). Currently, a quantitative noninvasive technique for monitoring in vivo antigen capture and delivery is lacking. The use of cellular magnetic resonance (MR) imaging (MRI) is a promising approach for this purpose; however, cellular imaging currently requires ex vivo prelabeling of cells with contrast agents followed by reintroduction of cells into the subject being monitored. Here, we describe an in vivo labeling method, which relies upon cell-to-cell transfer of super paramagnetic iron oxide (SPIO) from tumor cellsto endogenous APCs, in sita, to quantify APC delivery to LNs in a tumor vaccine model. Mice were immunized with a tumor cell-based vaccine that was irradiated and labeled with SPIO. APCs that had captured SPIO were imaged over time as they accumulated in LNs. We show here that MRI is capable of monitoring, in vivo, the trafficking of magnetically labeled APCs inducing a tumor-specific immune response, and that these cells can be magnetically recovered ex vivo. Excellent correlation was observed between in vivo and ex vivo quantification of APCs, with resolution sufficient to detect increased APC trafficking elicited by an adjuvant. This study shows the potential of magnetovaccination and MRI cell tracking to systematically evaluate a key parameter relevant to the optimization of vaccine therapies through noninvasive MRI-based quantification of APC numbers.

Original languageEnglish (US)
Pages (from-to)3180-3187
Number of pages8
JournalCancer Research
Issue number7
StatePublished - Apr 1 2009

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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