RNA-seq analysis of lung smooth muscle cells
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA622803 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11472091.fastq.gz | Fastqsanger.gz | |||
| SRR11472092.fastq.gz | Fastqsanger.gz | |||
| SRR11472093.fastq.gz | Fastqsanger.gz |
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Project description:Lung smooth muscle cells are including bronchiolar and vascular smooth muscle cells. In order to get adult lung smooth muscle cells, we use transgenic mouse line with smooth muscle actin creERT2, which is a transgenic cre recombinase in Acta2 (contractile smooth muscle cell gene). This mouse line also contains a CAG promoter-driven red fluorescent protein variant (tdTomato) - all inserted into the ROSA26 locus. This mouse line express robust tdTomato fluorescence following cre-mediated recombination after Tamoxifen injection.
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Project description:Thiele2013 - Smooth muscle smooth muscle cells
The model of smooth muscle smooth muscle 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
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data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
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facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110025
.
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.
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