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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...

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Detalles Bibliográficos
Autores principales: Hinz, Stefan, Todhunter, Michael E., LaBarge, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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).
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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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