A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation
Accurate molecular concentrations are essential for reliable analyses of biochemical networks and the creation of predictive models for molecular and systems biology, yet protein and metabolite concentrations used in such models are often poorly constrained or irreproducible. Challenges of using dat...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:217ae044f21c411faa158fedb031ecc62021-11-10T06:51:31ZA Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation1662-509910.3389/fnmol.2021.604559https://doaj.org/article/217ae044f21c411faa158fedb031ecc62021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnmol.2021.604559/fullhttps://doaj.org/toc/1662-5099Accurate molecular concentrations are essential for reliable analyses of biochemical networks and the creation of predictive models for molecular and systems biology, yet protein and metabolite concentrations used in such models are often poorly constrained or irreproducible. Challenges of using data from different sources include conflicts in nomenclature and units, as well as discrepancies in experimental procedures, data processing and implementation of the model. To obtain a consistent estimate of protein and metabolite levels, we integrated and normalized data from a large variety of sources to calculate Adjusted Molecular Concentrations. We found a high degree of reproducibility and consistency of many molecular species across brain regions and cell types, consistent with tight homeostatic regulation. We demonstrated the value of this normalization with differential protein expression analyses related to neurodegenerative diseases, brain regions and cell types. We also used the results in proof-of-concept simulations of brain energy metabolism. The standardized Brain Molecular Atlas overcomes the obstacles of missing or inconsistent data to support systems biology research and is provided as a resource for biomolecular modeling.Polina ShichkovaJay S. CogganHenry MarkramHenry MarkramDaniel KellerFrontiers Media S.A.articlemolecular concentrationsneuroproteomicsquantitative resourcedata integrationmouse brainsystems modelling and simulationNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Molecular Neuroscience, Vol 14 (2021) |
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molecular concentrations neuroproteomics quantitative resource data integration mouse brain systems modelling and simulation Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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molecular concentrations neuroproteomics quantitative resource data integration mouse brain systems modelling and simulation Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Polina Shichkova Jay S. Coggan Henry Markram Henry Markram Daniel Keller A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation |
description |
Accurate molecular concentrations are essential for reliable analyses of biochemical networks and the creation of predictive models for molecular and systems biology, yet protein and metabolite concentrations used in such models are often poorly constrained or irreproducible. Challenges of using data from different sources include conflicts in nomenclature and units, as well as discrepancies in experimental procedures, data processing and implementation of the model. To obtain a consistent estimate of protein and metabolite levels, we integrated and normalized data from a large variety of sources to calculate Adjusted Molecular Concentrations. We found a high degree of reproducibility and consistency of many molecular species across brain regions and cell types, consistent with tight homeostatic regulation. We demonstrated the value of this normalization with differential protein expression analyses related to neurodegenerative diseases, brain regions and cell types. We also used the results in proof-of-concept simulations of brain energy metabolism. The standardized Brain Molecular Atlas overcomes the obstacles of missing or inconsistent data to support systems biology research and is provided as a resource for biomolecular modeling. |
format |
article |
author |
Polina Shichkova Jay S. Coggan Henry Markram Henry Markram Daniel Keller |
author_facet |
Polina Shichkova Jay S. Coggan Henry Markram Henry Markram Daniel Keller |
author_sort |
Polina Shichkova |
title |
A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation |
title_short |
A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation |
title_full |
A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation |
title_fullStr |
A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation |
title_full_unstemmed |
A Standardized Brain Molecular Atlas: A Resource for Systems Modeling and Simulation |
title_sort |
standardized brain molecular atlas: a resource for systems modeling and simulation |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/217ae044f21c411faa158fedb031ecc6 |
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