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Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins
Dysregulation of the transcriptional or translational machinery can alter the stoichiometry of multiprotein complexes and occurs in natural processes such as aging. Loss of stoichiometry has been shown to alter protein complex functions. We provide a protocol and associated code that use omics data...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933523/ https://www.ncbi.nlm.nih.gov/pubmed/35313706 http://dx.doi.org/10.1016/j.xpro.2022.101182 |
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author | Hinz, Stefan Todhunter, Michael E. LaBarge, Mark A. |
author_facet | Hinz, Stefan Todhunter, Michael E. LaBarge, Mark A. |
author_sort | Hinz, Stefan |
collection | PubMed |
description | Dysregulation of the transcriptional or translational machinery can alter the stoichiometry of multiprotein complexes and occurs in natural processes such as aging. Loss of stoichiometry has been shown to alter protein complex functions. We provide a protocol and associated code that use omics data to quantify these stoichiometric changes via statistical dispersion utilizing the interquartile range of expression values per grouping variable. This descriptive statistical approach enables the quantification of stoichiometry changes without additional data acquisition. For complete details on the use and execution of this protocol, please refer to Hinz et al. (2021). |
format | Online Article Text |
id | pubmed-8933523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89335232022-03-20 Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins Hinz, Stefan Todhunter, Michael E. LaBarge, Mark A. STAR Protoc Protocol Dysregulation of the transcriptional or translational machinery can alter the stoichiometry of multiprotein complexes and occurs in natural processes such as aging. Loss of stoichiometry has been shown to alter protein complex functions. We provide a protocol and associated code that use omics data to quantify these stoichiometric changes via statistical dispersion utilizing the interquartile range of expression values per grouping variable. This descriptive statistical approach enables the quantification of stoichiometry changes without additional data acquisition. For complete details on the use and execution of this protocol, please refer to Hinz et al. (2021). Elsevier 2022-03-16 /pmc/articles/PMC8933523/ /pubmed/35313706 http://dx.doi.org/10.1016/j.xpro.2022.101182 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Hinz, Stefan Todhunter, Michael E. LaBarge, Mark A. Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
title | Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
title_full | Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
title_fullStr | Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
title_full_unstemmed | Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
title_short | Protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
title_sort | protocol for computationally evaluating the loss of stoichiometry and coordinated expression of proteins |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933523/ https://www.ncbi.nlm.nih.gov/pubmed/35313706 http://dx.doi.org/10.1016/j.xpro.2022.101182 |
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