Bulk transcriptomic comparison between in vitro propagated DNGR-1-lineage traced cells and hippocampus derived neural stem cells
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ABSTRACT:
PROVIDER: PRJNA608461 | ENA |
REPOSITORIES: ENA
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Project description:We compared by bulk RNA sequencing the transcriptomic profile of in vitro cultured DNGR-1-traced neural stem cells or their differentiated astrocytic progeny with similar cell fates generated from bonafide neural stem cells derived from the hippocampus.
2022-06-30 | GSE145824 | GEO
Project description:Using CD133 as a pan-ependymal cell marker, we wished to understand whether CD133+ DNGR-1 traced cells constituted a distinct subset of ependymal cells by comparing these at the single cell level with CD133+ non-traced cells purified from spinal cords of DNGR-1 lineage tracer mice.
2022-06-30 | GSE202959 | GEO
Project description:Stem cells are defined by two cardinal properties: limitless self-renewal and multipotency. We have serendipitously found that non-haematopoietic DNGR-1 lineage traced cells residing in the ependymal cell layer of the central nervous system display the two cardinal properties of stem cells, both in vitro and in vivo. However, whether these properties were a feature of all DNGR-1-traced cells or were confined to a particular subset of these is unclear. To address the potential heterogeneity of DNGR-1-traced ependymal cells and caractherise their putative stem cell compartment we conducted single-cell RNA sequencing of DNGR-1-traced cells isolated from uninjured spinal cords.
2022-06-30 | GSE146226 | GEO
Project description:Single-cell RNA sequencing of spinal cord CD133+ DNGR-1 traced and CD133+ non-traced cells
| PRJNA837893 | ENA
Project description:Single-cell RNA sequencing analysis of non-haematopoietic DNGR-1 lineage traced cells from murine spinal cord
| PRJNA609742 | ENA
Project description:Thiele2013 - Hippocampus glial cells
The model of hippocampus glial 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/.
This model is hosted on BioModels Database
and identified by: MODEL1310110005
.
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.
2005-01-01 | MODEL1310110005 | BioModels
Project description:Thiele2013 - Hippocampus neuronal cells
The model of hippocampus neuronal 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/.
This model is hosted on BioModels Database
and identified by: MODEL1310110034
.
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.
2005-01-01 | MODEL1310110034 | BioModels
Project description:DNGR-1 (CLEC9A) is expressed in CD8-like dendritic cells (DCs) and detects a ligand exposed on necrotic cells. We have characterized the transcripts that are induced in cultures of Flt3L-derived bone-marrow-derived WT or DNGR1-deficient DCs upon incubation with dead cells. Microarray analysis of the transcriptome of DNGR-1-deficient and WT DCs cultured with dead cells failed to reveal any DNGR-1-dependence in the transcriptional response to dead cells. Flt3L-BMDC from WT or DNGR-1-deficient (Clec9a gfp/gfp) mice were left untreated or were cultured for 5 hours with UV-treated dead cells at a 1:2 ratio. CD24hi CD11blow B220- CD8α+-like DC were purified by cell sorting and RNA was extracted. There were 3 replicates for each of the four experimental conditions.
2012-04-30 | E-GEOD-36435 | biostudies-arrayexpress
Project description:DNGR-1 (CLEC9A) is expressed in CD8-like dendritic cells (DCs) and detects a ligand exposed on necrotic cells. We have characterized the transcripts that are induced in cultures of Flt3L-derived bone-marrow-derived WT or DNGR1-deficient DCs upon incubation with dead cells. Microarray analysis of the transcriptome of DNGR-1-deficient and WT DCs cultured with dead cells failed to reveal any DNGR-1-dependence in the transcriptional response to dead cells.
2012-05-01 | GSE36435 | GEO