Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Oct 26;12:959630. doi: 10.3389/fonc.2022.959630

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2022 Savan, Saavedra, Halim, Yuzbasiyan-Gurkan, Wang, Yoo, Kiupel, Sempere, Medarova and Moore

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

MRI of MN-anti-miR10b delivery to metastatic breast cancer in a feline patient. (A) Pre-contrast and post-contrast T2* images (sagittal) of Cat 0 injected with one dose of MN-anti-miR10b. There was a notable loss in signal intensity over the secondary mammary lesion after injection of the therapeutic. (B) Quantitative analysis of relaxation times (T2 pre–T2 post, ms) of the tissues, confirming accumulation of MN-anti-miR10b (n=8, p<0.04). Data are represented as mean ± s.d. (C) Coronal post-contrast T2-weighted image showing signal voids identified by MN-anti-miR10b (arrows) corresponding to lesions in the abdominal area. (D) Left: Fluorescence microscopy showing accumulation of MN-anti-miR10b in the lesion (red – Cy5.5 on the nanoparticle; blue- DAPI); Right: H&E staining of the consecutive slice. Scale bar =100µm. (E) Animal weight during the course of the experiment. This symbol * means that the data are statistically significant (i.e., p<0.04).