⚙ How is this computed? Methods: Data Formats
Analysis Complete

Analysis Results sys10

Published legacy analysis modules for the selected page.

Species: SP239
System: sys10
Generated: 2026-08-07 23:48
Modules: 5
๐Ÿ“Š System Level
๐Ÿ“ก
4,661
Cell Interactions
๐Ÿงฌ
564
TF-Target Pairs
๐Ÿ“Š
1,599
Significant DEGs
๐ŸŽฏ
144
GO Terms
๐Ÿ›ค๏ธ
128
KEGG Pathways
๐Ÿ”—
30
Co-exp Modules
โš—๏ธ
โ€”
Metab. Pathways
๐Ÿฅ
12
Disease Links
๐Ÿ’Š
โ€”
Drugs Matched
๐Ÿ“ก Cell Communication โœ“ ๐Ÿงฌ GRN Analysis โœ“ ๐Ÿ”— Co-expression โœ“ ๐Ÿ”€ Trajectory Not computed ๐Ÿ“Š DEG Analysis โœ“ ๐ŸŽฏ GO / KEGG Not computed ๐Ÿงช ToppGene Not computed ๐Ÿ”  Motif Not computed โš—๏ธ Metabolism Not computed ๐Ÿฅ Disease โœ“ ๐Ÿ’Š Drug Analysis Not computed ๐Ÿ“„ Full Report
๐Ÿ“ก

Cell-Cell CommunicationLigand-Receptor Interaction Analysis via CellChat / CellPhoneDB

๐Ÿ”ข
Total Interactions
4,661
Significant ligand-receptor pairs
๐Ÿ›ค๏ธ
Signaling Pathways
27
Unique pathways detected
๐Ÿ“ค
Top Sender
Macrophages
Most active signaling cell type
๐Ÿ“ฅ
Top Receiver
Dendritic cells
Most active receiving cell type
Communication Heatmap

Communication Heatmap

Overall interaction strength between cell types. Rows = sender, columns = receiver.

๐Ÿ” Full Size
Communication Network

Communication Network

Network visualization of top 50 cell-cell interactions. Node size = connectivity degree.

๐Ÿ” Full Size
Signaling Pathway Activity

Signaling Pathway Activity

Top signaling pathways ranked by total communication score.

๐Ÿ” Full Size

๐Ÿ“‹ Top Ligand-Receptor Interactions

๐Ÿ“ฅ All Interactions ๐Ÿ“ฅ Pathway Summary
source target ligand receptor pathway ligand_expr receptor_expr score
Keratinocytes Keratinocytes TGFB1 TGFBR1 TGFb 0.083 0.2289 0.019
Keratinocytes Endothelial cells TGFB1 TGFBR1 TGFb 0.083 0.3037 0.0252
Keratinocytes Fibroblasts TGFB1 TGFBR1 TGFb 0.083 0.5445 0.0452
Keratinocytes Pericytes TGFB1 TGFBR1 TGFb 0.083 0.5129 0.0426
Keratinocytes DN T cells TGFB1 TGFBR1 TGFb 0.083 0.1988 0.0165
Keratinocytes Schwann cells TGFB1 TGFBR1 TGFb 0.083 0.323 0.0268
Keratinocytes Macrophages TGFB1 TGFBR1 TGFb 0.083 0.1883 0.0156
Keratinocytes CD4+ T cells TGFB1 TGFBR1 TGFb 0.083 0.2483 0.0206
Keratinocytes Sebocytes TGFB1 TGFBR1 TGFb 0.083 0.3663 0.0304
Keratinocytes Melanocytes TGFB1 TGFBR1 TGFb 0.083 0.2235 0.0186
Keratinocytes CD8+ T cells TGFB1 TGFBR1 TGFb 0.083 0.253 0.021
Keratinocytes Dendritic cells TGFB1 TGFBR1 TGFb 0.083 0.2571 0.0213
Showing top 12 rows ยท Download full table above
๐Ÿงฌ

Gene Regulatory NetworkTranscription Factor Activity & TF-Target Inference (pySCENIC / DoRothEA)

๐ŸŽ›๏ธ
TFs Analyzed
90
Transcription factors profiled
๐Ÿ”—
TF-Target Pairs
564
Significant regulatory relationships

Top Regulatory TFs

GATA3 122 targets
CEBPA 65 targets
NFKB1 54 targets
RUNX1 45 targets
IRF1 33 targets
BATF 27 targets
TP53 27 targets
RUNX2 26 targets
EGR1 23 targets
CEBPB 19 targets
TF Activity Heatmap

TF Activity Heatmap

Z-score normalized TF expression across cell populations.

๐Ÿ” Full Size ๐Ÿ“ฅ TF Activity ๐Ÿ“ฅ TF-Target Pairs
Gene Regulatory Network

Gene Regulatory Network

Red nodes: TFs. Blue: targets. Green edge: activation. Red edge: repression.

๐Ÿ” Full Size ๐Ÿ“ฅ TF Activity ๐Ÿ“ฅ TF-Target Pairs
๐Ÿ”—

Gene Co-expression NetworkWGCNA-style Module Analysis (hdWGCNA)

๐Ÿ“ฆ
Modules Identified
30
Co-expression gene modules
๐Ÿงฌ
Genes Analyzed
2,000
Highly variable genes
Module Dendrogram

Module Dendrogram

Hierarchical clustering of co-expression modules based on topological overlap.

๐Ÿ” Full Size ๐Ÿ“ฅ Gene Modules ๐Ÿ“ฅ Eigengenes
Module-Cell Type Association

Module-Cell Type Association

Module eigengene activity across cell types.

๐Ÿ” Full Size ๐Ÿ“ฅ Gene Modules ๐Ÿ“ฅ Eigengenes
๐Ÿ“Š

Differential ExpressionCell Type Marker Genes (Wilcoxon / MAST)

๐Ÿ“ˆ
Significant DEGs
1,599
Genes passing adj. p < 0.05 & |log2FC| > 0.5
๐Ÿท๏ธ
Cell Types Compared
16
Cell populations analyzed
Volcano Plot

Volcano Plot

Log2 fold change vs significance. Red: up-regulated. Blue: down-regulated.

Marker Gene Heatmap

Marker Gene Heatmap

Z-score normalized expression of top marker genes per cell type.

๐Ÿ“‹ Top Marker Genes

๐Ÿ“ฅ Top Markers ๐Ÿ“ฅ All Significant DEGs ๐Ÿ“ฅ Full DEG Results
names scores logfoldchanges pvals pvals_adj pct_nz_group pct_nz_reference cell_type
CD4 6.5508 7.7507 0 0 0.4697 0.0057 CD4+ T cells
CD3E 9.4599 7.5815 0 0 0.6818 0.0122 CD4+ T cells
RGS1 11.7982 7.5798 0 0 0.8636 0.0621 CD4+ T cells
CD3G 9.465 7.4769 0 0 0.6818 0.0108 CD4+ T cells
SLAMF6 9.0364 7.2722 0 0 0.6515 0.0125 CD4+ T cells
IL7R 10.5514 7.0989 0 0 0.7727 0.0257 CD4+ T cells
CD3D 10.015 6.805 0 0 0.7273 0.0287 CD4+ T cells
PTPRC 12.6046 6.5116 0 0 0.9394 0.0957 CD4+ T cells
CD247 6.4837 6.5018 0 0 0.4697 0.0123 CD4+ T cells
CD69 8.5225 6.4301 0 0 0.6212 0.0171 CD4+ T cells
IL7R 13.7042 8.3788 0 0 0.971 0.0253 CD8+ T cells
CD3E 12.5639 8.148 0 0 0.8841 0.0119 CD8+ T cells
Showing top 12 rows
๐Ÿฅ

Disease AssociationDisease Gene Enrichment (scDRS / DisGeNET / OMIM / ToppGene)

๐Ÿ”ฌ
Diseases Tested
15
Disease categories analyzed
โœ…
Significant Associations
12
Cell type-disease links (adj. p < 0.05)

Top Associated Diseases

Multiple sclerosis Systemic lupus erythematosus Multiple sclerosis Multiple sclerosis Systemic lupus erythematosus
Disease Association Heatmap

Disease Association Heatmap

-Log10(P-value) of disease gene enrichment per cell type.

Top Disease Associations

Top Disease Associations

Dot size: overlap genes. Color: significance.

๐Ÿ“ฅ Disease Enrichment Data
๐Ÿ“„

Full Analysis ReportComprehensive Summary & Downloads

๐Ÿ“Š

Interactive HTML Report

Complete analysis report with all figures, key findings, and data summaries in a standalone HTML page.

๐Ÿ“„ Open Report
๐Ÿ“ฆ

Download All Results

Download all analysis results including CSV data, PNG figures, and JSON summaries as a compressed archive.

๐Ÿ“ฅ Download ZIP
๐Ÿ”—

Share Results

Use this permanent link to share these analysis results:

analysis.php?SP_ID=SP239&sysID=sys10

๐Ÿ“ Available Result Files

Analysis File Type Action
Cell Communication cellchat_heatmap.png Figure (PNG) ๐Ÿ” View
Cell Communication cellchat_network.png Figure (PNG) ๐Ÿ” View
Cell Communication cellchat_pathway_dotplot.png Figure (PNG) ๐Ÿ” View
Cell Communication cellchat_interactions.csv Data (CSV) ๐Ÿ“ฅ Download
Cell Communication cellchat_pathway_summary.csv Data (CSV) ๐Ÿ“ฅ Download
GRN Analysis grn_tf_heatmap.png Figure (PNG) ๐Ÿ” View
GRN Analysis grn_network.png Figure (PNG) ๐Ÿ” View
GRN Analysis grn_tf_activity.csv Data (CSV) ๐Ÿ“ฅ Download
GRN Analysis grn_tf_targets.csv Data (CSV) ๐Ÿ“ฅ Download
Co-expression coexp_dendrogram.png Figure (PNG) ๐Ÿ” View
Co-expression coexp_module_heatmap.png Figure (PNG) ๐Ÿ” View
Co-expression coexp_modules.csv Data (CSV) ๐Ÿ“ฅ Download
Co-expression coexp_eigengenes.csv Data (CSV) ๐Ÿ“ฅ Download
DEG Analysis deg_volcano.png Figure (PNG) ๐Ÿ” View
DEG Analysis deg_marker_heatmap.png Figure (PNG) ๐Ÿ” View
DEG Analysis deg_top_markers.csv Data (CSV) ๐Ÿ“ฅ Download
DEG Analysis deg_significant.csv Data (CSV) ๐Ÿ“ฅ Download
DEG Analysis deg_all_results.csv Data (CSV) ๐Ÿ“ฅ Download
Disease disease_heatmap.png Figure (PNG) ๐Ÿ” View
Disease disease_dotplot.png Figure (PNG) ๐Ÿ” View
Disease disease_enrichment.csv Data (CSV) ๐Ÿ“ฅ Download
Report sys10_analysis_report.html Report (HTML) ๐Ÿ“„ Open
Report sys10_summary.json Summary (JSON) ๐Ÿ“ฅ Download