Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers

Screening drug candidates for their affinity and selectivity for a certain binding site is a crucial step in developing targeted therapy. Here, we created a screening assay for receptor binding that can be easily scaled up and automated for the high throughput screening of Kv channel blockers. It is...

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Autores principales: George V. Sharonov, Oksana V. Nekrasova, Ksenia S. Kudryashova, Mikhail P. Kirpichnikov, Alexey V. Feofanov
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:d16d354f7ef944c1a6ecd7667f7027b72021-11-25T16:46:42ZBioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers10.3390/bioengineering81101872306-5354https://doaj.org/article/d16d354f7ef944c1a6ecd7667f7027b72021-11-01T00:00:00Zhttps://www.mdpi.com/2306-5354/8/11/187https://doaj.org/toc/2306-5354Screening drug candidates for their affinity and selectivity for a certain binding site is a crucial step in developing targeted therapy. Here, we created a screening assay for receptor binding that can be easily scaled up and automated for the high throughput screening of Kv channel blockers. It is based on the expression of the KcsA-Kv1 hybrid channel tagged with a fluorescent protein in the <i>E. coli</i> membrane. In order to make this channel accessible for the soluble compounds, <i>E. coli</i> were transformed into spheroplasts by disruption of the cellular peptidoglycan envelope. The assay was evaluated using a hybrid KcsA-Kv1.3 potassium channel tagged with a red fluorescent protein (TagRFP). The binding of Kv1.3 channel blockers was measured by flow cytometry either by using their fluorescent conjugates or by determining the ability of unconjugated compounds to displace fluorescently labeled blockers with a known affinity. A fraction of the occupied receptor was calculated with a dedicated pipeline available as a Jupyter notebook. Measured binding constants for agitoxin-2, charybdotoxin and kaliotoxin were in firm agreement with the earlier published data. By using a mid-range flow cytometer with manual sample handling, we measured and analyzed up to ten titration curves (eight data points each) in one day. Finally, we considered possibilities for multiplexing, scaling and automation of the assay.George V. SharonovOksana V. NekrasovaKsenia S. KudryashovaMikhail P. KirpichnikovAlexey V. FeofanovMDPI AGarticlepotassium channelchannel blockersspheroplastshigh throughput screeningagitoxincharybdotoxinTechnologyTBiology (General)QH301-705.5ENBioengineering, Vol 8, Iss 187, p 187 (2021)
institution DOAJ
collection DOAJ
language EN
topic potassium channel
channel blockers
spheroplasts
high throughput screening
agitoxin
charybdotoxin
Technology
T
Biology (General)
QH301-705.5
spellingShingle potassium channel
channel blockers
spheroplasts
high throughput screening
agitoxin
charybdotoxin
Technology
T
Biology (General)
QH301-705.5
George V. Sharonov
Oksana V. Nekrasova
Ksenia S. Kudryashova
Mikhail P. Kirpichnikov
Alexey V. Feofanov
Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers
description Screening drug candidates for their affinity and selectivity for a certain binding site is a crucial step in developing targeted therapy. Here, we created a screening assay for receptor binding that can be easily scaled up and automated for the high throughput screening of Kv channel blockers. It is based on the expression of the KcsA-Kv1 hybrid channel tagged with a fluorescent protein in the <i>E. coli</i> membrane. In order to make this channel accessible for the soluble compounds, <i>E. coli</i> were transformed into spheroplasts by disruption of the cellular peptidoglycan envelope. The assay was evaluated using a hybrid KcsA-Kv1.3 potassium channel tagged with a red fluorescent protein (TagRFP). The binding of Kv1.3 channel blockers was measured by flow cytometry either by using their fluorescent conjugates or by determining the ability of unconjugated compounds to displace fluorescently labeled blockers with a known affinity. A fraction of the occupied receptor was calculated with a dedicated pipeline available as a Jupyter notebook. Measured binding constants for agitoxin-2, charybdotoxin and kaliotoxin were in firm agreement with the earlier published data. By using a mid-range flow cytometer with manual sample handling, we measured and analyzed up to ten titration curves (eight data points each) in one day. Finally, we considered possibilities for multiplexing, scaling and automation of the assay.
format article
author George V. Sharonov
Oksana V. Nekrasova
Ksenia S. Kudryashova
Mikhail P. Kirpichnikov
Alexey V. Feofanov
author_facet George V. Sharonov
Oksana V. Nekrasova
Ksenia S. Kudryashova
Mikhail P. Kirpichnikov
Alexey V. Feofanov
author_sort George V. Sharonov
title Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers
title_short Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers
title_full Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers
title_fullStr Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers
title_full_unstemmed Bioengineered System for High Throughput Screening of Kv1 Ion Channel Blockers
title_sort bioengineered system for high throughput screening of kv1 ion channel blockers
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/d16d354f7ef944c1a6ecd7667f7027b7
work_keys_str_mv AT georgevsharonov bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers
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AT kseniaskudryashova bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers
AT mikhailpkirpichnikov bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers
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