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Image‐Based Analysis of Protein Stability
Short half‐life proteins regulate many essential processes, including cell cycle, transcription, and apoptosis. However, few well‐characterized protein‐turnover pathways have been identified because traditional methods to measure protein half‐life are time and labor intensive. To overcome this barri...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187295/ https://www.ncbi.nlm.nih.gov/pubmed/31774248 http://dx.doi.org/10.1002/cyto.a.23928 |
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author | Hickman, K. Ashley Hariharan, Santosh De Melo, Jason Ylanko, Jarkko Lustig, Lindsay C. Penn, Linda Z. Andrews, David W. |
author_facet | Hickman, K. Ashley Hariharan, Santosh De Melo, Jason Ylanko, Jarkko Lustig, Lindsay C. Penn, Linda Z. Andrews, David W. |
author_sort | Hickman, K. Ashley |
collection | PubMed |
description | Short half‐life proteins regulate many essential processes, including cell cycle, transcription, and apoptosis. However, few well‐characterized protein‐turnover pathways have been identified because traditional methods to measure protein half‐life are time and labor intensive. To overcome this barrier, we developed a protein stability probe and high‐content screening pipeline for novel regulators of short half‐life proteins using automated image analysis. Our pilot probe consists of the short half‐life protein c‐MYC (MYC) fused to Venus fluorescent protein (MYC‐Venus). This probe enables protein half‐life to be scored as a function of fluorescence intensity and distribution. Rapid turnover prevents maximal fluorescence of the probe due to the relatively longer maturation time of the fluorescent protein. Cells expressing the MYC‐Venus probe were analyzed using a pipeline in which automated confocal microscopy and image analyses were used to score MYC‐Venus stability by two strategies: assaying the percentage of cells with Venus fluorescence above background, and phenotypic comparative analysis. To evaluate this high‐content screening pipeline and our probe, a kinase inhibitor library was screened by confocal microscopy to identify known and novel kinases that regulate MYC stability. Compounds identified were shown to increase the half‐life of both MYC‐Venus and endogenous MYC, validating the probe and pipeline. Fusion of another short half‐life protein, myeloid cell leukemia 1 (MCL1), with Venus also demonstrated an increase in percent Venus‐positive cells after treatment with inhibitors known to stabilize MCL1. Together, the results validate the use of our automated microscopy and image analysis pipeline of stability probe‐expressing cells to rapidly and quantitatively identify regulators of short half‐life proteins. © 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. |
format | Online Article Text |
id | pubmed-7187295 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71872952020-04-28 Image‐Based Analysis of Protein Stability Hickman, K. Ashley Hariharan, Santosh De Melo, Jason Ylanko, Jarkko Lustig, Lindsay C. Penn, Linda Z. Andrews, David W. Cytometry A Original Articles Short half‐life proteins regulate many essential processes, including cell cycle, transcription, and apoptosis. However, few well‐characterized protein‐turnover pathways have been identified because traditional methods to measure protein half‐life are time and labor intensive. To overcome this barrier, we developed a protein stability probe and high‐content screening pipeline for novel regulators of short half‐life proteins using automated image analysis. Our pilot probe consists of the short half‐life protein c‐MYC (MYC) fused to Venus fluorescent protein (MYC‐Venus). This probe enables protein half‐life to be scored as a function of fluorescence intensity and distribution. Rapid turnover prevents maximal fluorescence of the probe due to the relatively longer maturation time of the fluorescent protein. Cells expressing the MYC‐Venus probe were analyzed using a pipeline in which automated confocal microscopy and image analyses were used to score MYC‐Venus stability by two strategies: assaying the percentage of cells with Venus fluorescence above background, and phenotypic comparative analysis. To evaluate this high‐content screening pipeline and our probe, a kinase inhibitor library was screened by confocal microscopy to identify known and novel kinases that regulate MYC stability. Compounds identified were shown to increase the half‐life of both MYC‐Venus and endogenous MYC, validating the probe and pipeline. Fusion of another short half‐life protein, myeloid cell leukemia 1 (MCL1), with Venus also demonstrated an increase in percent Venus‐positive cells after treatment with inhibitors known to stabilize MCL1. Together, the results validate the use of our automated microscopy and image analysis pipeline of stability probe‐expressing cells to rapidly and quantitatively identify regulators of short half‐life proteins. © 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. John Wiley & Sons, Inc. 2019-11-27 2020-04 /pmc/articles/PMC7187295/ /pubmed/31774248 http://dx.doi.org/10.1002/cyto.a.23928 Text en © 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Hickman, K. Ashley Hariharan, Santosh De Melo, Jason Ylanko, Jarkko Lustig, Lindsay C. Penn, Linda Z. Andrews, David W. Image‐Based Analysis of Protein Stability |
title | Image‐Based Analysis of Protein Stability |
title_full | Image‐Based Analysis of Protein Stability |
title_fullStr | Image‐Based Analysis of Protein Stability |
title_full_unstemmed | Image‐Based Analysis of Protein Stability |
title_short | Image‐Based Analysis of Protein Stability |
title_sort | image‐based analysis of protein stability |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187295/ https://www.ncbi.nlm.nih.gov/pubmed/31774248 http://dx.doi.org/10.1002/cyto.a.23928 |
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