Výsledky vyhledávání - "Linnea Österberg"

Akademický článek

Exploring carbon source related localization and phosphorylation in the Snf1/Mig1 network using population and single cell-based approaches

Autor: Svenja Braam, Farida Tripodi, Linnea Österberg, Sebastian Persson, Niek Welkenhuysen, Paola Coccetti, Marija Cvijovic

Publikováno v: Microbial Cell, Vol 11, Pp 143-154 (2024)

The AMPK/SNF1 pathway governs energy balance in eukaryotic cells, notably influencing glucose de-repression. In S. cerevisiae, Snf1 is phosphorylated and hence activated upon glucose depletion. This activation is required but is not sufficient for me

Externí odkaz: https://doaj.org/article/941c4325e28d4c31b7c751286f155105

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Akademický článek

Multi-scale model suggests the trade-off between protein and ATP demand as a driver of metabolic changes during yeast replicative ageing.

Autor: Barbara Schnitzer, Linnea Österberg, Iro Skopa, Marija Cvijovic

Publikováno v: PLoS Computational Biology, Vol 18, Iss 7, p e1010261 (2022)

The accumulation of protein damage is one of the major drivers of replicative ageing, describing a cell's reduced ability to reproduce over time even under optimal conditions. Reactive oxygen and nitrogen species are precursors of protein damage and

Externí odkaz: https://doaj.org/article/ac896dae26b941778267f2797e03254c

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Akademický článek

A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism.

Autor: Linnea Österberg, Iván Domenzain, Julia Münch, Jens Nielsen, Stefan Hohmann, Marija Cvijovic

Publikováno v: PLoS Computational Biology, Vol 17, Iss 4, p e1008891 (2021)

The interplay between nutrient-induced signaling and metabolism plays an important role in maintaining homeostasis and its malfunction has been implicated in many different human diseases such as obesity, type 2 diabetes, cancer, and neurological dis

Externí odkaz: https://doaj.org/article/5f5425c6b1434c4d81ee883f5d9026a1

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Akademický článek

Robustness of Nutrient Signaling Is Maintained by Interconnectivity Between Signal Transduction Pathways

Autor: Niek Welkenhuysen, Barbara Schnitzer, Linnea Österberg, Marija Cvijovic

Publikováno v: Frontiers in Physiology, Vol 9 (2019)

Systems biology approaches provide means to study the interplay between biological processes leading to the mechanistic understanding of the properties of complex biological systems. Here, we developed a vector format rule-based Boolean logic model o

Externí odkaz: https://doaj.org/article/5a19b8869bbc4920ab5ca7820ed2e3d1

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The choice of the objective function in flux balance analysis is crucial for predicting replicative lifespans in yeast

Autor: Linnea Österberg, Barbara Schnitzer, Marija Cvijovic

Publikováno v: PloS one. 17(10)

Flux balance analysis (FBA) is a powerful tool to study genome-scale models of the cellular metabolism, based on finding the optimal flux distributions over the network. While the objective function is crucial for the outcome, its choice, even though

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a8af2eb071363ba898365636872ea75
https://pubmed.ncbi.nlm.nih.gov/36227951

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Localization and phosphorylation in the Snf1 network is controlled by two independent pathways

Autor: Niek Welkenhuysen, Stefan Hohmann, Marija Cvijovic, Linnea Österberg, Persson S

AMPK/SNF1 is the master regulator of energy homeostasis in eukaryotic cells and has a key role in glucose de-repression. If glucose becomes depleted, Snf1 is phosphorylated and activated. Activation of Snf1 is required but is not sufficient for media

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03e49eb14e80b3051303b565b08176ef
https://doi.org/10.1101/2021.06.14.448401

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A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism

Autor: Stefan Hohmann, Marija Cvijovic, Jens Nielsen, Linnea Österberg, Julia Münch, Iván Domenzain

Publikováno v: PLoS Computational Biology, Vol 17, Iss 4, p e1008891 (2021)
PLoS Computational Biology (1553-734X) vol.17(2021)
PLOS Computational Biology
PLoS Computational Biology

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16d0b35ca2f6201c88a09c5d76e76f63
https://doaj.org/article/5f5425c6b1434c4d81ee883f5d9026a1

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