Literature DB >> 28450034

Microbubble Enzyme-Linked Immunosorbent Assay for the Detection of Targeted Microbubbles in in Vitro Static Binding Assays.

Jennifer Wischhusen1, Frederic Padilla2.   

Abstract

Targeted microbubbles (MBs) are ultrasound contrast agents that are functionalized with a ligand for ultrasound molecular imaging of endothelial markers. Novel targeted MBs are characterized in vitro by incubation in protein-coated wells, followed by binding quantification by microscopy or ultrasound imaging. Both methods provide operator-dependent results: Between 3 and 20 fields of view from a heterogeneous sample are typically selected for analysis by microscopy, and in ultrasound imaging, different acoustic settings affect signal intensities. This study proposes a new method to reproducibly quantify MB binding based on enzyme-linked immunosorbent assay (ELISA), in which bound MBs are revealed with an enzyme-linked antibody. MB-ELISA was adapted to in vitro static binding assays, incubating the MBs in inverted position or by agitation, and compared with microscopy. The specificity and sensitivity of MB-ELISA enable the reliable quantification of MB binding in a rapid, high-throughput and whole-well analysis, facilitating the characterization of new targeted contrast agents.
Copyright © 2017 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Enzyme-linked immunosorbent assay; Microbubble quantification; Static binding assays; Targeted microbubbles; Ultrasound molecular imaging

Mesh:

Substances:

Year:  2017        PMID: 28450034     DOI: 10.1016/j.ultrasmedbio.2017.03.004

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  2 in total

1.  Ultrasound molecular imaging as a non-invasive companion diagnostic for netrin-1 interference therapy in breast cancer.

Authors:  Jennifer Wischhusen; Katheryne E Wilson; Jean-Guy Delcros; Rodolfo Molina-Peña; Benjamin Gibert; Shan Jiang; Jacqueline Ngo; David Goldschneider; Patrick Mehlen; Juergen K Willmann; Frederic Padilla
Journal:  Theranostics       Date:  2018-10-06       Impact factor: 11.556

2.  Simultaneous detection of feline parvovirus and feline bocavirus using SYBR Green I-based duplex real-time polymerase chain reaction.

Authors:  Yong Wang; Yang Pan; Junhuang Wu; Xinxin Tong; Jianfei Sun; Fazhi Xu; Bangzhao Cheng; Yongdong Li
Journal:  3 Biotech       Date:  2021-08-06       Impact factor: 2.406

  2 in total

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