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Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides
Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) has been identified as a novel alternative to classical diagnostic imaging. Over the last several decades, many studies have been conducted to determine possible CEST agents, such as endogenously expressed compounds or pro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071792/ https://www.ncbi.nlm.nih.gov/pubmed/37016672 http://dx.doi.org/10.1101/2023.03.08.531737 |
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author | Fillion, Adam J. Bricco, Alexander R. Lee, Harvey D. Korenchan, David Farrar, Christian T. Gilad, Assaf A. |
author_facet | Fillion, Adam J. Bricco, Alexander R. Lee, Harvey D. Korenchan, David Farrar, Christian T. Gilad, Assaf A. |
author_sort | Fillion, Adam J. |
collection | PubMed |
description | Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) has been identified as a novel alternative to classical diagnostic imaging. Over the last several decades, many studies have been conducted to determine possible CEST agents, such as endogenously expressed compounds or proteins, that can be utilized to produce contrast with minimally invasive procedures and reduced or non-existent levels of toxicity. In recent years there has been an increased interest in the generation of genetically engineered CEST contrast agents, typically based on existing proteins with CEST contrast or modified to produce CEST contrast. We have developed an in-silico method for the evolution of peptide sequences to optimize CEST contrast and showed that these peptides could be combined to create de novo biosensors for CEST MRI. A single protein, superCESTide 2.0, was designed to be 198 amino acids. SuperCESTide 2.0 was expressed in E. coli and purified with size-exclusion chromatography. The magnetic transfer ratio asymmetry (MTR(asym)) generated by superCESTide 2.0 was comparable to levels seen in previous CEST reporters, such as protamine sulfate (salmon protamine, SP), Poly-L-Lysine (PLL), and human protamine (hPRM1). This data shows that novel peptides with sequences optimized in silico for CEST contrast that utilizes a more comprehensive range of amino acids can still produce contrast when assembled into protein units expressed in complex living environments. |
format | Online Article Text |
id | pubmed-10071792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-100717922023-04-05 Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides Fillion, Adam J. Bricco, Alexander R. Lee, Harvey D. Korenchan, David Farrar, Christian T. Gilad, Assaf A. bioRxiv Article Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI) has been identified as a novel alternative to classical diagnostic imaging. Over the last several decades, many studies have been conducted to determine possible CEST agents, such as endogenously expressed compounds or proteins, that can be utilized to produce contrast with minimally invasive procedures and reduced or non-existent levels of toxicity. In recent years there has been an increased interest in the generation of genetically engineered CEST contrast agents, typically based on existing proteins with CEST contrast or modified to produce CEST contrast. We have developed an in-silico method for the evolution of peptide sequences to optimize CEST contrast and showed that these peptides could be combined to create de novo biosensors for CEST MRI. A single protein, superCESTide 2.0, was designed to be 198 amino acids. SuperCESTide 2.0 was expressed in E. coli and purified with size-exclusion chromatography. The magnetic transfer ratio asymmetry (MTR(asym)) generated by superCESTide 2.0 was comparable to levels seen in previous CEST reporters, such as protamine sulfate (salmon protamine, SP), Poly-L-Lysine (PLL), and human protamine (hPRM1). This data shows that novel peptides with sequences optimized in silico for CEST contrast that utilizes a more comprehensive range of amino acids can still produce contrast when assembled into protein units expressed in complex living environments. Cold Spring Harbor Laboratory 2023-03-08 /pmc/articles/PMC10071792/ /pubmed/37016672 http://dx.doi.org/10.1101/2023.03.08.531737 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Fillion, Adam J. Bricco, Alexander R. Lee, Harvey D. Korenchan, David Farrar, Christian T. Gilad, Assaf A. Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides |
title | Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides |
title_full | Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides |
title_fullStr | Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides |
title_full_unstemmed | Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides |
title_short | Development of a Synthetic Biosensor for Chemical Exchange MRI Utilizing In silico Optimized Peptides |
title_sort | development of a synthetic biosensor for chemical exchange mri utilizing in silico optimized peptides |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071792/ https://www.ncbi.nlm.nih.gov/pubmed/37016672 http://dx.doi.org/10.1101/2023.03.08.531737 |
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