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Gene counts are sourced from ARCHS4, which provides uniform alignment of GEO samples.
You can learn more about ARCHS4 and its pipeline here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Human Umbilical Vein Endothelial Cell (HUVEC) |
GSM4282393
|
|
|
GSM4282392
|
Submission Date: Jan 23, 2020
Summary: Severe angiopathy has been postulated as a major driver for diabetes associated secondary complications. So far the knowledge on underlying mechanisms and thereon based therapeutic options to attenuate these pathologies are limited. Here we systematically administered ABCB5+ MSCs for the treatment of chronic non-healing diabetic wounds employing db/db mice, a type II diabetes model as their number markedly declined during diabetes. We found that administration of ABCB5+ MSCs markedly accelerates wound closure in diabetic db/db mice as opposed to the vehicle treated control group. Strikingly, administration of ABCB5+ MSCs at the edges of the diabetic wounds triggered considerable neoangiogenesis, most likely by the releasing a Ribonuclease angiogenin that was identified through secretome analysis of ABCB5+ MSCs. Interestingly, silencing of angiogenin in ABCB5+ MSCs significantly delayed wound closure in diabetic db/db mice indicating its key role in skin regeneration. Moreover, angiogenin also impacted the polarization of macrophages. The findings from this study will provide novel insight into the unique capacity of ABCB5+ MSCs to mount an adaptive response at the wound site with the delivery of angiogenic molecules holds significant promise for the therapy of non-healing diabetes foot ulcers, and other pathologies with impaired angiogenesis. The benefits for refined stem cell based therapies is virtually unlimited.
GEO Accession ID: GSE144169
PMID: No Pubmed ID
Submission Date: Jan 23, 2020
Summary: Severe angiopathy has been postulated as a major driver for diabetes associated secondary complications. So far the knowledge on underlying mechanisms and thereon based therapeutic options to attenuate these pathologies are limited. Here we systematically administered ABCB5+ MSCs for the treatment of chronic non-healing diabetic wounds employing db/db mice, a type II diabetes model as their number markedly declined during diabetes. We found that administration of ABCB5+ MSCs markedly accelerates wound closure in diabetic db/db mice as opposed to the vehicle treated control group. Strikingly, administration of ABCB5+ MSCs at the edges of the diabetic wounds triggered considerable neoangiogenesis, most likely by the releasing a Ribonuclease angiogenin that was identified through secretome analysis of ABCB5+ MSCs. Interestingly, silencing of angiogenin in ABCB5+ MSCs significantly delayed wound closure in diabetic db/db mice indicating its key role in skin regeneration. Moreover, angiogenin also impacted the polarization of macrophages. The findings from this study will provide novel insight into the unique capacity of ABCB5+ MSCs to mount an adaptive response at the wound site with the delivery of angiogenic molecules holds significant promise for the therapy of non-healing diabetes foot ulcers, and other pathologies with impaired angiogenesis. The benefits for refined stem cell based therapies is virtually unlimited.
GEO Accession ID: GSE144169
PMID: No Pubmed ID
Visualize Samples
Visualizations are precomputed using the Python package scanpy on the top 5000 most variable genes.
Precomputed Differential Gene Expression
Differential expression signatures are automatically computed using the limma R package.
More options for differential expression are available to compute below.
Signatures:
No precomputed signatures are currently available for this study. You can compute differential gene expression on the fly below:
Select conditions:
Control Condition
Perturbation Condition
Only conditions with at least 1 replicate are available to select
Differential expression signatures can be computed using DESeq2 or characteristic direction.
This pipeline enables you to analyze and visualize your bulk RNA sequencing datasets with an array of downstream analysis and visualization tools. The pipeline includes: PCA analysis, Clustergrammer interactive heatmap, library size analysis, differential gene expression analysis, enrichment analysis, and L1000 small molecule search.
