In vivo tracking of adenoviral-transduced iron oxide-labeled bone marrow-derived dendritic cells using magnetic particle imaging
Fink, C.; Gevaert, J. J.; Barrett, J. W.; Dikeakos, J. D.; Foster, P. J.; Dekaban, G. A.
Show abstract
BackgroundDespite widespread study of dendritic cell (DC)-based cancer immunotherapies, the in vivo post-injection fate of DC remains largely unknown. Due in part to a lack of quantifiable imaging modalities, this is troubling as the amount of DC migration to secondary lymphoid organs correlates with therapeutic efficacy. Preliminary studies have identified magnetic particle imaging (MPI) as a suitable modality to quantify in vivo migration of superparamagnetic iron oxide-(SPIO)-labeled DC. Herein, we describe a lymph node- (LN)-focused MPI scan to quantify DC in vivo migration accurately and consistently. MethodsBoth adenovirus (Ad)-transduced SPIO+ (Ad SPIO+) and SPIO+ C57BL/6 bone marrow-derived DC were generated and assessed for viability and phenotype using flow cytometry. Ad SPIO+ and SPIO+ DC were fluorescently-labeled and injected into C57BL/6 mouse hind footpads (n=6). Two days later, in vivo DC migration was quantified using whole animal, popliteal LN- (pLN)-focused, and ex vivo pLN MPI scans. ResultsNo significant differences in viability, phenotype and in vivo pLN migration were noted for Ad SPIO+ and SPIO+ DC. Day 2 pLN-focused MPI successfully quantified DC migration in all instances while whole animal MPI only quantified pLN migration in 75% of cases. Ex vivo MPI and fluorescence microscopy confirmed MPI signal was pLN-localized and due to originally-injected Ad SPIO+ and SPIO+ DC. ConclusionsWe overcame a reported limitation of MPI by using a pLN-focused MPI scan to quantify pLN-migrated Ad SPIO+ and SPIO+ DC in 100% of cases. With this improved method, we detected as few as 1000 DC (4.4 ng Fe) in vivo. MPI is a suitable pre-clinical imaging modality to assess DC-based cancer immunotherapeutic efficacy.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- ImmunoPET-informed sequence for focused ultrasound-targeted mCD47 blockade controls glioma 91%
- Comparative evaluation of bolus and fractionated administration modalities for two antibody-cytokine fusions in immunocompetent tumor-bearing mice 90%
- A novel microporous biomaterial vaccine platform for long-lasting antibody mediated immunity against viral infection. 90%
Similar papers in this journal
- The sensitivity of magnetic particle imaging and fluorine-19 magnetic resonance imaging for cell tracking 94%
- Intratumoral expression of IL-12 and CD40 ligand (CD154) from plasmids generates antitumor responses that eliminate tumoral T regs 92%
- 68Ga-Bisphosphonates for the Imaging of Extraosseous Calcification by Positron Emission Tomography 91%
Similar papers in this journal
- Feasibility of real-time in vivo 89Zr-DFO-labeled CAR T-cell trafficking using PET imaging 93%
- Manganese-enhanced MRI (MEMRI) in breast and prostate cancers: exploring the potential role of calcium receptors. 92%
- Injectable diblock copolypeptide hydrogel provides platform to maintain high local concentrations of taxol and local tumor control 91%
Similar papers in this journal
- Vaccination with mycobacterial lipid loaded nanoparticle leads to lipid antigen persistence and memory differentiation of antigen-specific T cells 93%
- UFMTrack: Under-Flow Migration Tracker enabling analysis of the entire multi-step immune cell extravasation cascade across the blood-brain barrier in microfluidic devices 91%
- Revealing intact neuronal circuitry in centimeter-sized formalin-fixed paraffin-embedded brain 90%
Similar papers in this journal
- ROCKETS - a novel one-for-all toolbox for light sheet microscopy in drug discovery 91%
- The route of vaccine administration determines whether blood neutrophils undergo long-term phenotypic modifications 91%
- Exosomally targeting microRNA23a ameliorates microvascular endothelial barrier dysfunction following rickettsial infection 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.