Results 171 to 180 of about 450,408 (297)

Metabolic Model Generalization

, 2013
Genome-scale metabolic models for new organisms include thousands of reactions that are generated automatically: by inferring them from databases of reactions and pathways, existing models for similar organisms, etc. This process includes several iterations of the draft model analysis, error detection, and improvement; starting from more general issues
openaire   +1 more source

Overview of molecular signatures of senescence and associated resources: pros and cons

FEBS Open Bio, EarlyView.
Cells can enter a stress response state termed cellular senescence that is involved in various diseases and aging. Detecting these cells is challenging due to the lack of universal biomarkers. This review presents the current state of senescence identification, from biomarkers to molecular signatures, compares tools and approaches, and highlights ...
Orestis A. Ntintas, Sylvia Vagena, Pavlos Pantelis, Giorgos Theocharous, Russel Petty, Konstantinos Evangelou, Vassilis G. Gorgoulis   +6 more
wiley   +1 more source

Validated antimalarial drug target discovery using genome-scale metabolic modeling. [PDF]

Antimicrob Agents Chemother
Taweechai S, Totañes FIG, Westhead D, Herrera-Arozamena C, Foster R, McConkey GA.   +5 more
europepmc   +1 more source

pymgpipe: microbiome metabolic modeling in Python. [PDF]

J Open Source Softw, 2023
Meydan Y, Baldini F, Korem T.
europepmc   +1 more source

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source

Constraint-based metabolic modeling reveals metabolic properties underpinning the unprecedented growth of Chlorella ohadii. [PDF]

New Phytol
Soleymani F, Correa SM, Arend M, Forghanisardaghi N, Treves H, Razaghi-Moghadam Z, Nikoloski Z.   +6 more
europepmc   +1 more source

Diabetes‐induced vascular calcification is associated with low pyrophosphate and its oral supplementation prevents calcification in diabetic mice

FEBS Open Bio, EarlyView.
Induction of diabetes in three different mouse strains uniformly resulted in an increase in TNAP activity and a reduction in pyrophosphate (PPi) in the circulation. Inhibition of TNAP restored plasma PPi. Diabetes‐induced calcification in the media layer of the aorta was detected only in the Abcc6−/− strain, which is predisposed to ectopic ...
Krisztina Fülöp, Eszter Kozák, Natália Tőkési, Lilian Kocsis, Anikó Kelemen, Zsuzsanna Geszti, Adriána Kutás, Mariann Harangi, Ágnes Diószegi, Zsolt Rapi, József Balla, Olivier Le Saux, András Váradi, Viola Pomozi   +13 more
wiley   +1 more source

Author Correction: Metabolic modeling reveals a multi-level deregulation of host-microbiome metabolic networks in IBD. [PDF]

Nat Commun
Taubenheim J, Kadibalban AS, Zimmermann J, Taubenheim C, Tran F, Schreiber S, Rosenstiel P, Aden K, Kaleta C.   +8 more
europepmc   +1 more source

Calcium‐sensing receptor induces the apoptosis of chondrocytes in cooperation with phosphate transporter

FEBS Open Bio, EarlyView.
Excess Ca2+ ions activate the Calcium‐Sensing Receptor (CaSR), which subsequently drives the uptake of excess inorganic phosphate (Pi) via the Pi transporter (Pit−1) in chondrocytes. This mechanism causes a toxic increase in intracellular Pi concentration, ultimately leading to chondrocyte apoptosis and pathological mineralization. Excess extracellular
Sachie Nakatani, Hiroya Ueda, Ayumi Kawata, Yuki Sato, Kotomi Inomata, Hiroshi Mano, Masahiro Wada, Kenji Kobata   +7 more
wiley   +1 more source

Transcriptional and metabolic modeling analyses of developing <i>Aspergillus fumigatus</i> biofilms reveal metabolic shifts required for biofilm maturation. [PDF]

mSphere
Puerner C, Morelli KA, Kerkaert JD, Jones JT, Quinn KG, DeMichaelis N, Vellanki S, Liao C, Cramer RA.   +8 more
europepmc   +1 more source