Results 91 to 100 of about 363,947 (345)

A markov classification model for metabolic pathways

Algorithms for Molecular Biology, 2010
Background This paper considers the problem of identifying pathways through metabolic networks that relate to a specific biological response. Our proposed model, HME3M, first identifies frequently traversed network paths using a Markov mixture model ...
Mamitsuka Hiroshi, Hancock Timothy
doaj   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

MultiMetEval: comparative and multi-objective analysis of genome-scale metabolic models [PDF]

, 2012
Comparative metabolic modelling is emerging as a novel field, supported by the development of reliable and standardized approaches for constructing genome-scale metabolic models in high throughput.
A Freitag, A Gevorgyan, A Mithani, Albert Gevorgyan, AM Feist, AM Feist, AM Feist, Andrzej M. Kierzek, AP Burgard, BA Pfeifer, CS Henry, D Nagrath, DC Alexander, DC Stevens, EM Paradise, Eriko Takano, FC Lee, H Ikeda, I Thiele, J Gonzalez-Lergier, J Romero, J Schellenberger, JD Orth, JL Adrio, JP Brooks, JS Edwards, K Nieselt, K Yanai, LM Blank, M DeJongh, M Durot, M Kanehisa, M Latendresse, MA Fischbach, MA Oberhardt, MA Oberhardt, MA Oberhardt, Marnix H. Medema, MH Medema, MH Medema, MH Medema, MH Medema, MT Alam, MT Alam, MW Covert, N Scherr, ND Price, ND Price, NE Lewis, Piotr Zakrzewski, PR Ives, R Breitling, R Schuetz, Rainer Breitling, SA Becker, SD Bentley, Stephen S. Fong, TD Vo, TY Kim, XQ Zhao   +59 more
core   +6 more sources

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

Using optimal control to understand complex metabolic pathways

BMC Bioinformatics, 2020
Background Optimality principles have been used to explain the structure and behavior of living matter at different levels of organization, from basic phenomena at the molecular level, up to complex dynamics in whole populations.
Nikolaos Tsiantis, Julio R. Banga
doaj   +1 more source

System wide cofactor turnovers can propagate metabolic stability between pathways [PDF]

, 2016
Metabolic homeostasis, or low-level metabolic steady state, has long been taken for granted in metabolic engineering, and research priority has always been given to understand metabolic flux control and regulation of the reaction network.
Guan, Y.H., Villadsen, John, Yang, Y.
core   +2 more sources

A synthetic benzoxazine dimer derivative targets c‐Myc to inhibit colorectal cancer progression

Molecular Oncology, EarlyView.
Benzoxazine dimer derivatives bind to the bHLH‐LZ region of c‐Myc, disrupting c‐Myc/MAX complexes, which are evaluated from SAR analysis. This increases ubiquitination and reduces cellular c‐Myc. Impairing DNA repair mechanisms is shown through proteomic analysis.
Nicharat Sriratanasak, Bodee Nutho, Worawat Wattanathana, Narumon Phaonakrop, Bunnatut Panasawatwong, Katharina Erlenbach‐Wuensch, Sittiruk Roytrakul, Regine Schneider‐Stock, Pithi Chanvorachote   +8 more
wiley   +1 more source

Improving clustering with metabolic pathway data [PDF]

, 2014
Background: It is a common practice in bioinformatics to validate each group returned by a clustering algorithm through manual analysis, according to a-priori biological knowledge.
Carrari, Fernando Oscar, Kamenetzky, Laura, Lopez, Mariana Gabriela, Milone, Diego Humberto, Stegmayer, Georgina   +4 more
core   +2 more sources

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Integrative metabolic engineering

AIMS Bioengineering, 2015
Recent advances in experimental and computational synthetic biology are extremely useful for achieving metabolic engineering objectives. The integration of synthetic biology and metabolic engineering within an iterative design-build-test framework will ...
George H McArthur IV, Pooja P Nanjannavar, Emily H Miller, Stephen S Fong   +3 more
doaj   +1 more source