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High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics
Antibodies represent powerful tools to examine signal transduction pathways. Here, we present a strategy integrating multiple state-of-the-art methods to produce, validate, and utilize antibodies. Focusing on understudied synaptic proteins, we generated 137 recombinant antibodies. We used yeast disp...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900253/ https://www.ncbi.nlm.nih.gov/pubmed/33619305 http://dx.doi.org/10.1038/s42003-021-01744-8 |
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author | Lemos Duarte, Mariana Trimbake, Nikita A. Gupta, Achla Tumanut, Christine Fan, Xiaomin Woods, Catherine Ram, Akila Gomes, Ivone Bobeck, Erin N. Schechtman, Deborah Devi, Lakshmi A. |
author_facet | Lemos Duarte, Mariana Trimbake, Nikita A. Gupta, Achla Tumanut, Christine Fan, Xiaomin Woods, Catherine Ram, Akila Gomes, Ivone Bobeck, Erin N. Schechtman, Deborah Devi, Lakshmi A. |
author_sort | Lemos Duarte, Mariana |
collection | PubMed |
description | Antibodies represent powerful tools to examine signal transduction pathways. Here, we present a strategy integrating multiple state-of-the-art methods to produce, validate, and utilize antibodies. Focusing on understudied synaptic proteins, we generated 137 recombinant antibodies. We used yeast display antibody libraries from the B cells of immunized rabbits, followed by FACS sorting under stringent conditions to identify high affinity antibodies. The antibodies were validated by high-throughput functional screening, and genome editing. Next, we explored the temporal dynamics of signaling in single cells. A subset of antibodies targeting opioid receptors were used to examine the effect of treatment with opiates that have played central roles in the worsening of the ‘opioid epidemic.’ We show that morphine and fentanyl exhibit differential temporal dynamics of receptor phosphorylation. In summary, high-throughput approaches can lead to the identification of antibody-based tools required for an in-depth understanding of the temporal dynamics of opioid signaling. |
format | Online Article Text |
id | pubmed-7900253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79002532021-03-05 High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics Lemos Duarte, Mariana Trimbake, Nikita A. Gupta, Achla Tumanut, Christine Fan, Xiaomin Woods, Catherine Ram, Akila Gomes, Ivone Bobeck, Erin N. Schechtman, Deborah Devi, Lakshmi A. Commun Biol Article Antibodies represent powerful tools to examine signal transduction pathways. Here, we present a strategy integrating multiple state-of-the-art methods to produce, validate, and utilize antibodies. Focusing on understudied synaptic proteins, we generated 137 recombinant antibodies. We used yeast display antibody libraries from the B cells of immunized rabbits, followed by FACS sorting under stringent conditions to identify high affinity antibodies. The antibodies were validated by high-throughput functional screening, and genome editing. Next, we explored the temporal dynamics of signaling in single cells. A subset of antibodies targeting opioid receptors were used to examine the effect of treatment with opiates that have played central roles in the worsening of the ‘opioid epidemic.’ We show that morphine and fentanyl exhibit differential temporal dynamics of receptor phosphorylation. In summary, high-throughput approaches can lead to the identification of antibody-based tools required for an in-depth understanding of the temporal dynamics of opioid signaling. Nature Publishing Group UK 2021-02-22 /pmc/articles/PMC7900253/ /pubmed/33619305 http://dx.doi.org/10.1038/s42003-021-01744-8 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lemos Duarte, Mariana Trimbake, Nikita A. Gupta, Achla Tumanut, Christine Fan, Xiaomin Woods, Catherine Ram, Akila Gomes, Ivone Bobeck, Erin N. Schechtman, Deborah Devi, Lakshmi A. High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
title | High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
title_full | High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
title_fullStr | High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
title_full_unstemmed | High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
title_short | High-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
title_sort | high-throughput screening and validation of antibodies against synaptic proteins to explore opioid signaling dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900253/ https://www.ncbi.nlm.nih.gov/pubmed/33619305 http://dx.doi.org/10.1038/s42003-021-01744-8 |
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