Expression data from epithelial cells of nasal mucosa
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA668814 | ENA |
REPOSITORIES: ENA
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Project description:Antigen uptake, processing, trafficking and presentation in nasal mucosal tissues are regulated by complex intra- and inter-cellular signalling events. Typical vaccine adjuvants lead to the transcription of pro-inflammatory cytokines and chemokines which relate to immune induction. We used microarrays to detail the global expression of genes in murine nasal mucosa underlying immune induction with a non-inflammatory nanoemulsion nasal adjuvant. 8 week old female CD-1 mice were nasally treated with 5 microliters/nare of either 20% (v/v) naomeulsion (W805EC) or PBS. Nasal epithelium was harvested immediately post-mortem at either 6 (6 hr) or 24 hours (24 hr) following treatment. The tissue was placed in OTC and frozen by immersion in liquid nitrogen. Total RNA was extracted per sample using RNA easy (Qiagen).
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Project description:Thiele2013 - Oral mucosa squamous epithelial cells
The model of oral mucosa squamous epithelial cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
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2005-01-01 | MODEL1310110027 | BioModels