Models,Multiomics

Dataset Information

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Sen2020 - Metabolic alteration in PBMCs associated with type 1 diabetes


ABSTRACT: Genome-Scale draft model for Human Peripheral Blood Mononuclear Cells (PBMCs). A GEM for PBMCs was developed by applying the INIT algorithm on Human Metabolic Reconstruction (HMR 2.0) as a template model. GEMs were contextualised/ constrained for different conditions using expression datasets. The gene/transcript expression data obtained from PBMCs of Type 1 Diabetes progressors, non-progressors, and healthy controls were employed to score each reaction of HMR 2.0. For further detail please refer to Electronic Supplementary Information of Sen et.al, Metabolic alterations in immune cells associate with progression to type 1 diabetes, Diabetologia, 15/01/2020, (https://doi.org/10.1007/s00125-020-05107-6).

OTHER RELATED OMICS DATASETS IN: MTBLS1015

SUBMITTER: Partho Sen  

PROVIDER: MODEL1905270001 | BioModels | 2020-03-11

REPOSITORIES: BioModels

Dataset's files

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MODEL1905270001?filename=Sen_et_al_PBMC_GEM_MODEL1905270001.xml Xml
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Publications


<h4>Aims/hypothesis</h4>Previous metabolomics studies suggest that type 1 diabetes is preceded by specific metabolic disturbances. The aim of this study was to investigate whether distinct metabolic patterns occur in peripheral blood mononuclear cells (PBMCs) of children who later develop pancreatic beta cell autoimmunity or overt type 1 diabetes.<h4>Methods</h4>In a longitudinal cohort setting, PBMC metabolomic analysis was applied in children who (1) progressed to type 1 diabetes (PT1D, n = 34  ...[more]

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