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Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches
Structure-function relationships of biological macromolecules, in particular proteins, provide crucial insights for fundamental biochemistry, medical research and early drug discovery. However, production of recombinant proteins, either for structure determination, functional studies, or to be used...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149252/ https://www.ncbi.nlm.nih.gov/pubmed/35651816 http://dx.doi.org/10.3389/fmolb.2022.890862 |
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author | Kwan, Tristan O. C. Kolek, Stefan A. Danson, Amy E. Reis, Rosana I. Camacho, Ines S. Shaw Stewart, Patrick D. Moraes, Isabel |
author_facet | Kwan, Tristan O. C. Kolek, Stefan A. Danson, Amy E. Reis, Rosana I. Camacho, Ines S. Shaw Stewart, Patrick D. Moraes, Isabel |
author_sort | Kwan, Tristan O. C. |
collection | PubMed |
description | Structure-function relationships of biological macromolecules, in particular proteins, provide crucial insights for fundamental biochemistry, medical research and early drug discovery. However, production of recombinant proteins, either for structure determination, functional studies, or to be used as biopharmaceutical products, is often hampered by their instability and propensity to aggregate in solution in vitro. Protein samples of poor quality are often associated with reduced reproducibility as well as high research and production expenses. Several biophysical methods are available for measuring protein aggregation and stability. Yet, discovering and developing means to improve protein behaviour and structure-function integrity remains a demanding task. Here, we discuss workflows that are made possible by adapting established biophysical methods to high-throughput screening approaches. Rapid identification and optimisation of conditions that promote protein stability and reduce aggregation will support researchers and industry to maximise sample quality, stability and reproducibility, thereby reducing research and development time and costs. |
format | Online Article Text |
id | pubmed-9149252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91492522022-05-31 Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches Kwan, Tristan O. C. Kolek, Stefan A. Danson, Amy E. Reis, Rosana I. Camacho, Ines S. Shaw Stewart, Patrick D. Moraes, Isabel Front Mol Biosci Molecular Biosciences Structure-function relationships of biological macromolecules, in particular proteins, provide crucial insights for fundamental biochemistry, medical research and early drug discovery. However, production of recombinant proteins, either for structure determination, functional studies, or to be used as biopharmaceutical products, is often hampered by their instability and propensity to aggregate in solution in vitro. Protein samples of poor quality are often associated with reduced reproducibility as well as high research and production expenses. Several biophysical methods are available for measuring protein aggregation and stability. Yet, discovering and developing means to improve protein behaviour and structure-function integrity remains a demanding task. Here, we discuss workflows that are made possible by adapting established biophysical methods to high-throughput screening approaches. Rapid identification and optimisation of conditions that promote protein stability and reduce aggregation will support researchers and industry to maximise sample quality, stability and reproducibility, thereby reducing research and development time and costs. Frontiers Media S.A. 2022-05-16 /pmc/articles/PMC9149252/ /pubmed/35651816 http://dx.doi.org/10.3389/fmolb.2022.890862 Text en Copyright © 2022 Kwan, Kolek, Danson, Reis, Camacho, Shaw Stewart and Moraes. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Kwan, Tristan O. C. Kolek, Stefan A. Danson, Amy E. Reis, Rosana I. Camacho, Ines S. Shaw Stewart, Patrick D. Moraes, Isabel Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches |
title | Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches |
title_full | Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches |
title_fullStr | Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches |
title_full_unstemmed | Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches |
title_short | Measuring Protein Aggregation and Stability Using High-Throughput Biophysical Approaches |
title_sort | measuring protein aggregation and stability using high-throughput biophysical approaches |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9149252/ https://www.ncbi.nlm.nih.gov/pubmed/35651816 http://dx.doi.org/10.3389/fmolb.2022.890862 |
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