Models

Dataset Information

0

Sigurdsson2010 - Genome-scale metabolic model of Mus Musculus (iMM1415)


ABSTRACT: Sigurdsson2010 - Genome-scale metabolic model of Mus Musculus (iMM1415) This model is described in the article: A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1. Sigurdsson MI, Jamshidi N, Steingrimsson E, Thiele I, Palsson BØ. BMC Syst Biol 2010; 4: 140 Abstract: BACKGROUND: Well-curated and validated network reconstructions are extremely valuable tools in systems biology. Detailed metabolic reconstructions of mammals have recently emerged, including human reconstructions. They raise the question if the various successful applications of microbial reconstructions can be replicated in complex organisms. RESULTS: We mapped the published, detailed reconstruction of human metabolism (Recon 1) to other mammals. By searching for genes homologous to Recon 1 genes within mammalian genomes, we were able to create draft metabolic reconstructions of five mammals, including the mouse. Each draft reconstruction was created in compartmentalized and non-compartmentalized version via two different approaches. Using gap-filling algorithms, we were able to produce all cellular components with three out of four versions of the mouse metabolic reconstruction. We finalized a functional model by iterative testing until it passed a predefined set of 260 validation tests. The reconstruction is the largest, most comprehensive mouse reconstruction to-date, accounting for 1,415 genes coding for 2,212 gene-associated reactions and 1,514 non-gene-associated reactions.We tested the mouse model for phenotype prediction capabilities. The majority of predicted essential genes were also essential in vivo. However, our non-tissue specific model was unable to predict gene essentiality for many of the metabolic genes shown to be essential in vivo. Our knockout simulation of the lipoprotein lipase gene correlated well with experimental results, suggesting that softer phenotypes can also be simulated. CONCLUSIONS: We have created a high-quality mouse genome-scale metabolic reconstruction, iMM1415 (Mus Musculus, 1415 genes). We demonstrate that the mouse model can be used to perform phenotype simulations, similar to models of microbe metabolism. Since the mouse is an important experimental organism, this model should become an essential tool for studying metabolic phenotypes in mice, including outcomes from drug screening. This model is hosted on BioModels Database and identified by: MODEL1507180055. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

SUBMITTER: Nicolas Le Novère  

PROVIDER: MODEL1507180055 | BioModels | 2015-07-30

REPOSITORIES: BioModels

altmetric image

Publications

A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1.

Sigurdsson Martin I MI   Jamshidi Neema N   Steingrimsson Eirikur E   Thiele Ines I   Palsson Bernhard Ø BØ  

BMC systems biology 20101019


<h4>Background</h4>Well-curated and validated network reconstructions are extremely valuable tools in systems biology. Detailed metabolic reconstructions of mammals have recently emerged, including human reconstructions. They raise the question if the various successful applications of microbial reconstructions can be replicated in complex organisms.<h4>Results</h4>We mapped the published, detailed reconstruction of human metabolism (Recon 1) to other mammals. By searching for genes homologous t  ...[more]

Similar Datasets

2015-07-30 | MODEL1507180042 | BioModels
2006-12-13 | GSE2597 | GEO
2021-10-06 | MODEL2110030001 | BioModels
2023-07-20 | PXD037086 | Pride
2015-07-30 | MODEL1507180067 | BioModels
2022-02-16 | PXD028546 | Pride
| E-GEOD-22674 | biostudies-arrayexpress
2021-09-13 | GSE168876 | GEO
| E-GEOD-2597 | biostudies-arrayexpress
2011-12-30 | GSE22674 | GEO