Dataset Information

In Vivo Protein Turnover Rates in Varying Oxygen Tensions Nominate MYBBP1A as a Novel Mediator of the Hyperoxia Response

ABSTRACT: Oxygen deprivation and excess are both toxic to mammals. Thus, the ability to adapt to varying oxygen tensions is critical for survival. While the transcriptional response to acute hypoxia has been well-studied, the post-translational effects of hypoxia and hyperoxia have been underexplored. In this study, we systematically investigate protein turnover rates in mouse heart, lung, and brain under different inhaled oxygen tensions. We find that the lung proteome is the most responsive to changes in oxygen tension, likely due to the direct exposure of alveoli to inhaled oxygen. In particular, several extracellular matrix (ECM) proteins such as collagens and laminins, are stabilized in the lung under both hypoxia and hyperoxia, suggesting their post-translational regulation. Furthermore, we validate our previous finding that complex 1 of the electron transport chain (ETC) is destabilized in hyperoxia, explaining the exacerbation of associated disease models by hyperoxia and rescue by hypoxia. Moreover, we nominate MYBBP1A as a novel transcriptional regulator in hyperoxic lung, particularly in the context of rRNA homeostasis. Overall, our study highlights the importance of the effects of oxygen tensions on protein turnover rates and identifies novel tissue-specific mediators of oxygen-dependent responses.

INSTRUMENT(S): timsTOF Pro 2

ORGANISM(S): Mus Musculus (ncbitaxon:10090)

SUBMITTER: Isha Jain

PROVIDER: MSV000092095 | MassIVE | Sun Jun 04 09:38:00 BST 2023

SECONDARY ACCESSION(S): PXD042712

REPOSITORIES: MassIVE

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In vivo protein turnover rates in varying oxygen tensions nominate MYBBP1A as a mediator of the hyperoxia response.

Chen Xuewen X Haribowo Augustinus G AG Baik Alan H AH Fossati Andrea A Stevenson Erica E Chen Yiwen R YR Reyes Nabora S NS Peng Tien T Matthay Michael A MA Traglia Michela M Pico Alexander R AR Jarosz Daniel F DF Buchwalter Abigail A Ghaemmaghami Sina S Swaney Danielle L DL Jain Isha H IH

Science advances 20231208 49

Oxygen deprivation and excess are both toxic. Thus, the body's ability to adapt to varying oxygen tensions is critical for survival. While the hypoxia transcriptional response has been well studied, the post-translational effects of oxygen have been underexplored. In this study, we systematically investigate protein turnover rates in mouse heart, lung, and brain under different inhaled oxygen tensions. We find that the lung proteome is the most responsive to varying oxygen tensions. In particula ...[more]

PMID: 38064566

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Project description:This a model from the article: Hypoxia-dependent sequestration of an oxygen sensor by a widespread structural motif can shape the hypoxic response - a predictive kinetic model Bernhard Schmierer, Béla Novák1 and Christopher J Schofield BMC Systems Biology2010, 4:139 20955552, Abstract: Background The activity of the heterodimeric transcription factor hypoxia inducible factor (HIF) is regulated by the post-translational, oxygen-dependent hydroxylation of its α-subunit by members of the prolyl hydroxylase domain (PHD or EGLN)-family and by factor inhibiting HIF (FIH). PHD-dependent hydroxylation targets HIFα for rapid proteasomal degradation; FIH-catalysed asparaginyl-hydroxylation of the C-terminal transactivation domain (CAD) of HIFα suppresses the CAD-dependent subset of the extensive transcriptional responses induced by HIF. FIH can also hydroxylate ankyrin-repeat domain (ARD) proteins, a large group of proteins which are functionally unrelated but share common structural features. Competition by ARD proteins for FIH is hypothesised to affect FIH activity towards HIFα; however the extent of this competition and its effect on the HIF-dependent hypoxic response are unknown. Results To analyse if and in which way the FIH/ARD protein interaction affects HIF-activity, we created a rate equation model. Our model predicts that an oxygen-regulated sequestration of FIH by ARD proteins significantly shapes the input/output characteristics of the HIF system. The FIH/ARD protein interaction is predicted to create an oxygen threshold for HIFα CAD-hydroxylation and to significantly sharpen the signal/response curves, which not only focuses HIFα CAD-hydroxylation into a defined range of oxygen tensions, but also makes the response ultrasensitive to varying oxygen tensions. Our model further suggests that the hydroxylation status of the ARD protein pool can encode the strength and the duration of a hypoxic episode, which may allow cells to memorise these features for a certain time period after reoxygenation. Conclusions The FIH/ARD protein interaction has the potential to contribute to oxygen-range finding, can sensitise the response to changes in oxygen levels, and can provide a memory of the strength and the duration of a hypoxic episode. These emergent properties are predicted to significantly shape the characteristics of HIF activity in animal cells. We argue that the FIH/ARD interaction should be taken into account in studies of the effect of pharmacological inhibition of the HIF-hydroxylases and propose that the interaction of a signalling sensor with a large group of proteins might be a general mechanism for the regulation of signalling pathways. There are there models described in the paper. 1) Skeleton Model 1 (SKM1) - HIFα CAD-hydroxylation in the absence of the FIH/AR-interaction. 2) Skeleton Model 2 (SKM2) - FIG sequestration by ARD proteins and oxygen-dependent FIH-release. 3) Full Model (Fusion of SKM1 and SKM2) - the effects of the FIH/ARD proteins interaction on HIFα CAD-hydroxylation. This model corresponds to the "Full Model" described in the paper. The model reproduces figure 5 of the publication. This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. For more information see the terms of use. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Dataset Information

In Vivo Protein Turnover Rates in Varying Oxygen Tensions Nominate MYBBP1A as a Novel Mediator of the Hyperoxia Response

Publications

In vivo protein turnover rates in varying oxygen tensions nominate MYBBP1A as a mediator of the hyperoxia response.

Similar Datasets

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