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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MDPI AG
2021
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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) |
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potassium channel channel blockers spheroplasts high throughput screening agitoxin charybdotoxin Technology T Biology (General) QH301-705.5 |
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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 AT oksanavnekrasova bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers AT kseniaskudryashova bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers AT mikhailpkirpichnikov bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers AT alexeyvfeofanov bioengineeredsystemforhighthroughputscreeningofkv1ionchannelblockers |
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1718412983856529408 |