scholarly journals Genome‐scale metabolic modelling of SARS‐CoV‐2 in cancer cells reveals an increased shift to glycolytic energy production

FEBS Letters ◽  
2021 ◽  
Author(s):  
Elisabeth Yaneske ◽  
Guido Zampieri ◽  
Loris Bertoldi ◽  
Giuseppe Benvenuto ◽  
Claudio Angione
Keyword(s):  
Cancer Cells ◽  
Energy Production ◽  
Metabolic Modelling ◽  
Genome Scale

scholarly journals Mitochondrial Markers for Cancer: Relevance to Diagnosis, Therapy, and Prognosis and General Understanding of Malignant Disease Mechanisms

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Boel De Paepe
Keyword(s):  
Cell Death ◽  
Cancer Cells ◽  
Energy Production ◽  
Malignant Disease ◽  
Human Cancer ◽  
Biosynthetic Pathways ◽  
Mitochondrial Markers ◽  
Pathologic Evaluation ◽  
Disease Mechanisms ◽  
Diagnosis Therapy

Cancer cells display changes that aid them to escape from cell death, sustain their proliferative powers, and shift their metabolism toward glycolytic energy production. Mitochondria are key organelles in many metabolic and biosynthetic pathways, and the adaptation of mitochondrial function has been recognized as crucial to the changes that occur in cancer cells. This paper zooms in on the pathologic evaluation of mitochondrial markers for diagnosing and staging of human cancer and determining the patients’ prognoses.

scholarly journals Consistency, Inconsistency and Ambiguity of Metabolite Names in Biochemical Databases Used for Genome Scale Metabolic Modelling

2018 ◽  
Author(s):  
Nhung Pham ◽  
Ruben Van Heck ◽  
Jesse van Dam ◽  
Peter Schaap ◽  
Edoardo Saccenti ◽  
...  
Keyword(s):  
Systems Medicine ◽  
Biochemical Reactions ◽  
Metabolic Modelling ◽  
Research Areas ◽  
Limit Model ◽  
Metabolic Models ◽  
Genome Scale ◽  
Manual Verification

Genome scale metabolic models (GEMs) are manually curated repositories describing the metabolic capabilities of an organism. GEMs have been successfully used in different research areas, ranging from systems medicine to biotechnology. However, the different naming conventions (namespaces) of databases used to build GEMs limit model reusability and prevent the integration of existing models. This problem is known in the GEM community but its extent has not been analyzed in depth. In this study, we investigate the name ambiguity and the multiplicity of non-systematic identifiers and we highlight the (in)consistency in their use in eleven biochemical databases of biochemical reactions and the problems that arise when mapping between different namespaces and databases. We found that such inconsistencies can be as high as 83.1%, thus emphasizing the need for strategies to deal with these issues. Currently, manual verification of the mappings appears to be the only solution to remove inconsistencies when combining models. Finally, we discuss several possible approaches to facilitate (future) unambiguous mapping.

scholarly journals Understanding the metabolism of the tetralin degrader Sphingopyxis granuli strain TFA through genome-scale metabolic modelling

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Inmaculada García-Romero ◽  
Juan Nogales ◽  
Eduardo Díaz ◽  
Eduardo Santero ◽  
Belén Floriano
Keyword(s):  
Metabolic Modelling ◽  
Genome Scale

scholarly journals High‐quality genome‐scale metabolic modelling of Pseudomonas putida highlights its broad metabolic capabilities

2019 ◽  
Vol 22 (1) ◽  
pp. 255-269 ◽  
Author(s):  
Juan Nogales ◽  
Joshua Mueller ◽  
Steinn Gudmundsson ◽  
Francisco J. Canalejo ◽  
Estrella Duque ◽  
...  
Keyword(s):  
Pseudomonas Putida ◽  
High Quality ◽  
Metabolic Modelling ◽  
Genome Scale ◽  
High Quality Genome

scholarly journals Modelling Gene-Protein-Reaction Associations on an FPGA

2019 ◽  
Author(s):  
Macauley Coggins
Keyword(s):  
Metabolic Model ◽  
Logic Device ◽  
Description Language ◽  
Metabolic Modelling ◽  
Quartus Ii ◽  
Hardware Description ◽  
Design Software ◽  
Genome Scale ◽  
The Relationship ◽  
Protein Reaction

Genome-Scale metabolic models have proven to be incredibly useful.Allowing researchers to model cellular functionality based upon gene expression. However as the number of genes and reactions increases it can become computationally demanding. The first step in genome-scale metabolic modelling is to model the relationship between genes and reactions in the form of Gene-Protein-Reaction Associations (GPRA). In this research we have developed a way to model GPRAs on an Altera Cyclone II FPGA using Quartus II programmable logic device design software and the VHDL hardware description language. The model consisting of 7 genes and 7 reactions was implemented using 7 combinational functions and 14 I/O pins. This model will be the first step towards creating a full genome scale metabolic model on FPGA devices which we will be fully investigating in future studies.

scholarly journals Common transcriptional programme of liver fibrosis in mouse genetic models and humans

2020 ◽  
Author(s):  
Kaja Blagotinšek Cokan ◽  
Žiga Urlep ◽  
Miha Moškon ◽  
Miha Mraz ◽  
Xiang Y. Kong ◽  
...  
Keyword(s):  
Transcription Factors ◽  
Liver Fibrosis ◽  
Metabolic Diseases ◽  
Genetic Models ◽  
Disease Stage ◽  
The Novel ◽  
Alcoholic Fatty Liver ◽  
Metabolic Modelling ◽  
Cancer Pathways ◽  
Genome Scale

AbstractMultifactorial metabolic diseases, such as non-alcoholic fatty liver disease, are a major burden of modern societies and frequently present with no clearly defined molecular biomarkers. Herein we used systems medicine approaches to decipher signatures of liver fibrosis in mouse models with malfunction in genes from unrelated biological pathways. Enrichment analyses of KEGG, Reactome and TRANSFAC databases complemented with genome-scale metabolic modelling revealed fibrotic signatures highly similar to liver pathologies in humans. The diverse genetic models of liver fibrosis exposed a common transcriptional programme with activated ERα signalling, and a network of interactions between regulators of lipid metabolism and transcription factors from cancer pathways and immune system. The novel hallmarks of fibrosis are downregulated lipid pathways, including fatty acid, bile acid, and steroid hormone metabolism. Moreover, distinct metabolic subtypes of liver fibrosis were proposed, supported by unique enrichment of transcription factors based on the type of insult, disease stage, or sex.

scholarly journals The Role of Ketone Bodies in Improving Neurological Function and Efficiency

Health Scope ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Deepanshu Naithani ◽  
Santosh Kumar Karn
Keyword(s):  
Cancer Cells ◽  
Single Molecule ◽  
Energy Production ◽  
Ketone Bodies ◽  
Tricarboxylic Acid Cycle ◽  
Energy Levels ◽  
Atp Synthesis ◽  
Water Soluble ◽  
Atp Production ◽  
Small Water

: Neurological coordination is essential for performing biological and mechanical activities achieved by the cooperation of biomolecules such as carbohydrates, lipids, and proteins. It plays an important role in energy production, which can be fascinatingly improved by ketone bodies. Ketone bodies are small, water-soluble lipid molecules by shifting the glycolytic phase KBs directly enters into the tricarboxylic acid cycle for ATP synthesis. It leads to the production of much more energy levels than a single molecule of glucose. Therefore, it could have a profound effect on neuro-metabolism as well as bioenergetics of ATP production. These neuro-enhancement properties are useful for epilepsy, Alzheimer's, and several neurocognitive disorders treatment. Interestingly, the cancer cells cannot use it for efficiently energy production results in decreasing cancer cells viability. This review summarized ketone bodies generation, related imperative effects on normal cells, and more importantly its application in various neurological disorders treatment by rising neuronal functions.

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