Schematic overview of the cellular and molecular mechanisms involved in the cancer progression, including the proposed cellular and molecular mechanisms in cancer cells trajectory. AT1: alveolar type 1 cells; AT2: alveolar type 2 cells; AAH: atypical adenomatous hyperplasia; AIS: adenocarcinoma in situ; MIA: minimally invasive adenocarcinoma; IA: invasive adenocarcinoma; EMT: epithelial-mesenchymal transition

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Tissue samples summary

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Annotation details for different cell compartments

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Cell type statistics by disease state

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Cell type dynamics in malignant transformation

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Cell lineage trajectory inference

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TF regulatory network analysis

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Cell-cell interaction analysis

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Stemness, Senescence, Metaplasia and NeoTCR signature analysis

Tissue: Skin

Tissue samples summary

check button Cell type statistics by tissue samples.
EpitheliaImmuneStromal
Bar plot representation of the fraction of all Epithelial cells in each sample composed of each cell type for the integrated scRNA-seq datasets of Breast tissues. Each row represents a single sample, with each color representing a different cell type present in the sample.Bar plot representation of the fraction of all Immune cells in each sample composed of each cell type for the integrated scRNA-seq datasets of Breast tissues. Each row represents a single sample, with each color representing a different cell type present in the sample.Bar plot representation of the fraction of all Stromal cells in each sample composed of each cell type for the integrated scRNA-seq datasets of Breast tissues. Each row represents a single sample, with each color representing a different cell type present in the sample.
∗Bar plot representation of the fraction of all Epithelial, Immune and Stromal cells in each sample composed of each cell type for the integrated scRNA-seq datasets of Skin tissue. Each row represents a single sample, with each color representing a different cell type present in the sample.

check button Tissue summary table.
TissueDisease StateReplicatesEpithelia UMAPPMIDSourcePlatform
SkinAKP1_S1_AKProjection

NA

GSE193304

10X Genomics
SkinADJP1_S2_NORMALProjection

NA

GSE193304

10X Genomics
SkinAKP2_S3_AKProjection

NA

GSE193304

10X Genomics
SkinSCCISP2_S4_SCCISProjection

NA

GSE193304

10X Genomics
SkinADJP2_S5_NORMALProjection

NA

GSE193304

10X Genomics
SkinAKP3_S6_AKProjection

NA

GSE193304

10X Genomics
SkinADJP3_S7_NORMALProjection

NA

GSE193304

10X Genomics
SkincSCCP4_S8_cSCCProjection

NA

GSE193304

10X Genomics
SkinADJP4_S9_NORMALProjection

NA

GSE193304

10X Genomics
SkincSCCP5_S10_cSCCProjection

NA

GSE193304

10X Genomics
SkinADJP5_S11_NORMALProjection

NA

GSE193304

10X Genomics
SkincSCCP6_S12_cSCCProjection

NA

GSE193304

10X Genomics
SkinADJP6_S13_NORMALProjection

NA

GSE193304

10X Genomics
SkincSCCP1_cSCCProjection

32579974

GSE144236

10X Genomics
SkinADJP1_normalProjection

32579974

GSE144236

10X Genomics
SkincSCCP2_cSCCProjection

32579974

GSE144236

10X Genomics
SkinADJP2_normalProjection

32579974

GSE144236

10X Genomics
SkincSCCP3_cSCCProjection

32579974

GSE144236

10X Genomics
SkinADJP3_normalProjection

32579974

GSE144236

10X Genomics
SkincSCCP4_cSCCProjection

32579974

GSE144236

10X Genomics
∗Projection of epithelial scRNA-seq cells from Skin diseased tissue samples into the manifold of normal tissue epithelial cells. Projected cells are colored by nearest normal cells in the projection and normal epithelial cells are colored gray.
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Annotation details for different cell compartments

check button Single-cell atlas of expresion.
UMAP representations and annotations of Epithelial cells in the integrated scRNA-seq data of the selected tissue.UMAP representations and annotations of Immune cells in the integrated scRNA-seq data of the selected tissue.UMAP representations and annotations of Stromal cells in the integrated scRNA-seq data of the selected tissue.
∗UMAP representations and annotations of Epithelial, Immune, Stromal cells in the integrated scRNA-seq data of Skin tissue. Colors represent cell types of each compartment.

check button Cell markers.
TissueMajor Cell TypeMinor Cell TypeFull NameMarkers
SkinEpiSTMStem-like cellsCD34,KRT15,LGR5,CD44,ALDH1A1,ABCB5,ABCG2,PROM1,ALCAM
SkinEpiECCEccrine cellsKRT7,KRT20,KRT8,CEACAM5,GATA3,KRT19,AZGP1,SAA1,S100A8,S100A9,CA2
SkinEpiPILPilosebaceous unitsKRT19,KRT5,SOX9,PPARG,AACS,LHX2,KRT23,MKI67,KRT15,CD200,AR
SkinEpiBASBasal cellsKRT15,COL17A1,CCL2,CXCL14,DST,KRT5,KRT14,TP63,ITGB1,ITGA6
SkinEpiCYCCycling keratinocytesMKI67,STMN1,TOP2A,TUBA1B,HMGB2
SkinEpiDIFDifferentiating keratinocytes KRTDAP,KRT1,KRT16,KRT6A,S100A7,DMKN,SBSN
SkinEpiKERKeratinocytesKRT1,KRT10,SBSN,KRTDAP
SkinEpiMENMenanocytes PMEL,MLANA,TYRP1,DCT
SkinImmMASTMast cellsTPSAB1,CPA3,HDC,CTSG,TPSB2,CMA1,MS4A2
SkinImmcDCConventinal dendritic cellsHLA-DQA1,HLA-DQB1,CLEC10A,CLEC9A,FCER1A,CST3,CD1C
SkinImmLCLangerhansCD1A,CD207,LAMP3
SkinImmpDCPlasmacytoid dendritic cellsIL3RA,CLEC4C,NRP1,KLRD1
SkinImmNKNatural killer cellsKLRF1,SH2D1B,NCAM1,FCGR3A,GNLY,NKG7,GZMH,FGFBP2,CX3CR1,NCR1,NCR3,B3GAT1
SkinImmMDSCMyeloid-derived suppressor cellsITGAM,LY6G6C,IL4R,ARG1
SkinImmM1MACM1 macrophagesFOLR2,FABP3,PLA2G2D,ITGAM,ITGAX,CSF1R,CD68,CD163,THBD
SkinImmINMONInflamotory monocytesCD14,CLEC9A,FCGR1A,LILRB2,CD209,CD1E,FCN1,VCAN,S100A8,S100A9
SkinImmM2MACM2 macrophagesCSF1R,CSF3R,MRC1,IL10,CCL18,VSIG4,CHI3L1
SkinImmBNNaive B cellsCD19,IGHD,IGLL1,CD27,CD38
SkinImmPLAPlasma cellsSSR4,IGLL5,IGLL1,AMPD1,IGHA1,IGHA2,JCHAIN,CD38,TNFRSF17,SDC1,IGHG1,MZB1
SkinImmCD4TNNaive CD4+ T cellsIL7R,SELL,CCR7,S100A4,TCF7
SkinImmTH17T-helper 17IL17A,CTSH,KLRB1,IL26,CCR6
SkinImmTREGRegulatory T cellsBATF,TNFRSF4,FOXP3,CTLA4,LAIR2,IL2RA
SkinImmCD8TEXPProgenitor exhausted CD8+ T cellsPDCD1,IL7R,GPR183,NR4A3,REL,TCF7
SkinImmCD8TEXINTIntermediate exhausted CD8+ T cellsPDCD1,LAG3,CD101,CD38,CXCR6,TIGIT
SkinImmCD8TEREXTerminally exhausted CD8+ T cellsTOX,GZMB,ENTPD1,ITGAE,HAVCR2,CXCL13,PDCD1,LAYN,TOX,IFNG,GZMB,MIR155HG,TNFRSF9,ITGAE
SkinImmCD8TCMCentral memory CD8+ T cellsCCR7,SELL,IL7R,CD27,CD28,PRF1,GZMA,CCL5,GPR183,S1PR1
SkinImmCD8TRMCD8+ tissue resident memory T cellsCD6,XCL1,XCL2,MYADM,CAPG,RORA,NR4A1,NR4A2,NR4A3,CD69,ITGAE
SkinImmCD8TEFFEffector CD8+ T cellsCX3CR1,FCGR3A,FGFBP2,PRF1,GZMH,TBX21,EOMES,S1PR1
SkinStrDPCDermal papilla cellsALPL,FGF5,KRT14,SOX2,WNT5A,BMP4,BMP2,NES
SkinStrLYMENDLymphatic endothelial cellsPROX1,LYVE1,PDPN,PROCR,FLT4
SkinStrMSCMesenchymal stem cellsNT5E,THY1,ENG,CD44,ITGB1,MCAM,ENDOD1
SkinStrFIBFibroblastsBMP7,MAP3K2,COL6A1,CD36,CD44,CBLN2,SPOCK1,ACSS3,FN1,COL3A1,BGN,DCN,POSTN,C1R,MMP2,FGF7,MME,CD47
SkinStrSMCSmooth muscle cellsACTA2,CNN1,MYH11,TAGLN,CALD1,TAGLN2
SkinStrMYOFIBMyofibroblastsSYT10,SOSTDC1,DES,TAGLN,MYH11,TPM4
SkinStrPERIPericytesPDGFRA,CSPG4,RGS5,MCAM,COX4I2,KCNJ8,HIGD1B,NOTCH3,HEYL,FAM162B
SkinStrADIPOAdipocytesPPARG,FABP4,ADIPOQ,LEP,CD36,PLIN1
SkinStrPVAPost capillary venulesSELP,ZNF385D,FAM155A,GALNT15,MADCAM1,CORT
SkinStrMVAMicrovascular cellsPLVAP,CD36,DYSF,NRP1,SH3BP5,EXOC3L2,FABP5,VWA1,BAALC,PRSS23,RAPGEF4,APLN,HTRA1
SkinStrECMExtracellular matrixFBLN1,PCOLCE2,MFAP5
SkinStrINCAFIntermediate cancer-associated fibroblastsPDGFRA,POSTN,ID1,ID3
SkinStrICAFInflammatory cancer-associated fibroblastsTWIST1,WNT2,FAP,CXCL1,CXCL2,CYR61,IL1B,IL6,HGF

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Cell type statistics by disease state

Stacked bar graph representation of the fraction of each epithelial cell type derived from samples with different Disease States in the integrated dataset of the selected tissue. Cells from each Disease State sample have a different color.Stacked bar graph representation of the fraction of each immune cell type derived from samples with different Disease States in the integrated dataset of the selected tissue. Cells from each Disease State sample have a different color.Stacked bar graph representation of the fraction of each stromal cell type derived from samples with different Disease States in the integrated dataset of the selected tissue. Cells from each Disease State sample have a different color.
∗Stacked bar graph representation of the fraction of each epithelial cell type derived from samples with different Disease States in the integrated dataset of Skin tissue. Cells from each Disease State sample have a different color.

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Cell type dynamics in malignant transformation

Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.
Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.
Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.
Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.
Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.
Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in the selected tissue. Samples are colored based on if they are derived from different Disease States.
∗Fraction of cell type in each scRNA-seq sample plotted against position of the sample in the malignancy continuum for all cell types in Skin tissue. Samples are colored based on if they are derived from different Disease States. Cell fractions are computed by dividing the number of cells of a given cell type by the total number of cells in the compartment (epithelial versus immune versus stromal).
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Cell lineage trajectory inference

Disease StateEpitheliaImmuneStromal
HealthyTrajectory analysis of cells of epithelial compartment in Healthy-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in Healthy-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in Healthy-derived samples of Skin tissue by using scvelo package in Python.
AKTrajectory analysis of cells of epithelial compartment in AK-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in AK-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in AK-derived samples of Skin tissue by using scvelo package in Python.
SCCISTrajectory analysis of cells of epithelial compartment in SCCIS-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in SCCIS-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in SCCIS-derived samples of Skin tissue by using scvelo package in Python.
cSCCTrajectory analysis of cells of epithelial compartment in cSCC-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in cSCC-derived samples of Skin tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in cSCC-derived samples of Skin tissue by using scvelo package in Python.
∗RNA velocity maps for epithelial, immune and stromal compartments of Skin tissue with different disease states.

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TF regulatory network analysis

Disease StateEpitheliaImmuneStromal
HealthyHeatmap representation of significantly different TFs among all cell types of epithelial compartment in Healthy-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of immune compartment in Healthy-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of stromal compartment in Healthy-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
ADJHeatmap representation of significantly different TFs among all cell types of epithelial compartment in ADJ-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of immune compartment in ADJ-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of stromal compartment in ADJ-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
AKHeatmap representation of significantly different TFs among all cell types of epithelial compartment in AK-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of immune compartment in AK-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of stromal compartment in AK-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
SCCISHeatmap representation of significantly different TFs among all cell types of epithelial compartment in SCCIS-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of immune compartment in SCCIS-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of stromal compartment in SCCIS-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
cSCCHeatmap representation of significantly different TFs among all cell types of epithelial compartment in cSCC-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of immune compartment in cSCC-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.Heatmap representation of significantly different TFs among all cell types of stromal compartment in cSCC-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
∗Heatmap: Heatmap representation of significantly different TFs among all cell types of epithelial compartment in Healthy-derived samples of Skin tissue by comparing their average AUC by using pySCENIC in Python. Regulon specific score for each cell type is colored.
∗Network: TF target network created from Healthy-derived samples of Skin tissue using Top 50 predicted target genes of each regulon. Edge lengths are the inferred TF-target weightings.

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Cell-cell interaction analysis

Disease StateCell TypeCircleSourceTarget
HealthyADIPOThe cell-cell communications between each two interacting cell types in Healthy-derived samples of the selected tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in Healthy-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in Healthy-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.
BASThe cell-cell communications between each two interacting cell types in Healthy-derived samples of the selected tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in Healthy-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in Healthy-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.
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Disease StateCell TypeCircleSourceTarget
ADJBASThe cell-cell communications between each two interacting cell types in ADJ-derived samples of the selected tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs. Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in ADJ-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in ADJ-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.
BNThe cell-cell communications between each two interacting cell types in ADJ-derived samples of the selected tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs. Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in ADJ-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in ADJ-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.
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Disease StateCell TypeCircleSourceTarget
AKBASThe cell-cell communications between each two interacting cell types in AK-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in AK-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in AK-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.
BNThe cell-cell communications between each two interacting cell types in AK-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in AK-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in AK-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.
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Disease StateCell TypeCircleSourceTarget
SCCISBASThe cell-cell communications between each two interacting cell types in SCCIS-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in SCCIS-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in SCCIS-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.
BNThe cell-cell communications between each two interacting cell types in SCCIS-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in SCCIS-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in SCCIS-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.
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Disease StateCell TypeCircleSourceTarget
cSCCADIPOThe cell-cell communications between each two interacting cell types in cSCC-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in cSCC-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in cSCC-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.
BASThe cell-cell communications between each two interacting cell types in cSCC-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source cell population in cSCC-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its target cell population in cSCC-derived samples of Skin tissue. Each row represents the significant ligand and receptor gene pairs.
∗The cell-cell communications between each two interacting cell types in different states-derived samples of Skin tissue. Different colors in the circle plot represent different cell groups and the edge width is proportional to the indicated number of ligand-receptor pairs.
∗Bubble plot of proportion to the communication probability in significant signaling pathways between this cell type and its source and target cell population. Each row represents the significant ligand and receptor gene pairs.
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Stemness, Senescence, Metaplasia and NeoTCR signature analysis

check button Developmental potential inference using CytoTRACE.
1_developmental_potential_in_Healthy.png shows the analysis results of stemness, senescence, and metaplasia signatures2_developmental_potential_in_AK.png shows the analysis results of stemness, senescence, and metaplasia signatures3_developmental_potential_in_SCCIS.png shows the analysis results of stemness, senescence, and metaplasia signatures4_developmental_potential_in_cSCC.png shows the analysis results of stemness, senescence, and metaplasia signatures
∗Ridge plots of CytoTRACE score distributions for epithelial cells.

check button Cellular senescence signature (for three compartments).
Disease StateEpitheliaImmuneStromal
HealthyComparisons for degree of cellular senescence of epithelial compartment in Healthy-derived samples of Skin tissue.Comparisons for degree of cellular senescence of immune compartment in Healthy-derived samples of Skin tissue.Comparisons for degree of cellular senescence of stromal compartment in Healthy-derived samples of Skin tissue.
AKComparisons for degree of cellular senescence of epithelial compartment in AK-derived samples of Skin tissue.Comparisons for degree of cellular senescence of immune compartment in AK-derived samples of Skin tissue.Comparisons for degree of cellular senescence of stromal compartment in AK-derived samples of Skin tissue.
SCCISComparisons for degree of cellular senescence of epithelial compartment in SCCIS-derived samples of Skin tissue.Comparisons for degree of cellular senescence of immune compartment in SCCIS-derived samples of Skin tissue.Comparisons for degree of cellular senescence of stromal compartment in SCCIS-derived samples of Skin tissue.
cSCCComparisons for degree of cellular senescence of epithelial compartment in cSCC-derived samples of Skin tissue.Comparisons for degree of cellular senescence of immune compartment in cSCC-derived samples of Skin tissue.Comparisons for degree of cellular senescence of stromal compartment in cSCC-derived samples of Skin tissue.
∗Comparisons for degree of cellular senescence among epithelial, immune and stromal cell populations of Skin tissue with different disease states.

check button Metaplasia and damage response signature (for epithelial cells).
HealthyAKSCCIScSCC
Comparisons of Metaplasia-associated damage scores among epithelial cell subpopulations.Comparisons of Metaplasia-associated damage scores among epithelial cell subpopulations.Comparisons of Metaplasia-associated damage scores among epithelial cell subpopulations.Comparisons of Metaplasia-associated damage scores among epithelial cell subpopulations.
∗Comparisons of Metaplasia-associated damage scores among epithelial cell subpopulations.

check button Neoantigen-specific TCR clonotypes (NeoTCR) signature.
Comparisons of CD4+ and CD8+ NeoTCR signature scores among different disease states.Comparisons of CD4+ and CD8+ NeoTCR signature scores among different disease states.
∗Comparisons of CD4+ and CD8+ NeoTCR signature scores among different disease states.