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Raw gene Expression data is sourced from GEO, and the appropriate db package for mapping probes to gene symbols was sourced from the Bioconductor AnnotationData packages.
You can read more about microarray data here.
Select conditions below to toggle them from the plot:
| GROUP | CONDITION | SAMPLES |
|---|---|---|
| Adipose-Derived Stem Cells (ASCs) |
GSM3561123 GSM3561124 GSM3561125 GSM3561126
|
|
|
GSM3561119 GSM3561120 GSM3561121 GSM3561122
|
Submission Date: Jan 13, 2019
Summary: Adipose-derived stem cells are angiogenic and attractive for therapeutic angiogenesis. However, ADSCs contain several subsets according to expression pattern of surface markers.
We identified CD271 (LNGFR) can isolate ADSCs with superior capacity for angiogenesis. Therefore, we aimed to compare gene expression profile between CD271+ and CD271- ADSCs.
GEO Accession ID: GSE125012
PMID: No Pubmed ID
Submission Date: Jan 13, 2019
Summary: Adipose-derived stem cells are angiogenic and attractive for therapeutic angiogenesis. However, ADSCs contain several subsets according to expression pattern of surface markers.
We identified CD271 (LNGFR) can isolate ADSCs with superior capacity for angiogenesis. Therefore, we aimed to compare gene expression profile between CD271+ and CD271- ADSCs.
GEO Accession ID: GSE125012
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:
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.