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MRI-based identification of undifferentiated cells: looking at the two faces of Janus

Authors Tomuleasa C, Florian IS, Berce C, Irimie A, Berindan-Neagoe I, Cucuianu A

Received 3 December 2013

Accepted for publication 6 December 2013

Published 11 February 2014 Volume 2014:9(1) Pages 865—866

DOI https://doi.org/10.2147/IJN.S58674

Checked for plagiarism Yes


Ciprian Tomuleasa,1,2 Ioan Stefan Florian,3 Cristian Berce,4 Alexandru Irimie,5,6 Ioana Berindan-Neagoe,2,7,9 Andrei Cucuianu1,8

1Department of Hematology, Ion Chiricuta Cancer Center, Cluj Napoca, Romania; 2Research Center for Functional Genomics and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania; 3Department of Neurosurgery, 4Animal Facility, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania; 5Department of Surgery, Ion Chiricuta Cancer Center, Cluj Napoca, Romania; 6Department of Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania; 7Department of Functional Genomics, The Oncology Institute Ion Chiricuta, Cluj Napoca, Romania; 8Department of Hematology, 9Department of Immunology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj Napoca, Romania

We have read with great interest the paper of Ketkar-Atre et al,1 in which they have developed a new way of tracking stem cells after transplantation using a magnetic resonance imaging (MRI)-based method. They have proven using high resolution electron microscopy that various types of undifferentiated cells, also known as stem cells, have a differentiation uptake of iron oxide nanoparticles according to their size and proliferation rate. Due to its super-paramagnetic properties, iron oxide is slowly finding its way from the laboratory to the clinic. When combined with MRI, it can very efficiently track a stem cell in vivo, as in the case of autologous transplantation,2,3 but also for other conditions such as Duchenne muscular dystrophy.

View original paper by Ketkar-Atre et al.

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