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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Center for Computational Systems Medicine
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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: Oral cavity

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 Oral cavity 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
Oral cavityOSCCC04Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC15Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC21Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC22Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC26Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC30Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC31Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC38Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC43Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC46Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC51Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC57Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC59Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC06Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC07Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC08Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC84Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC86Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCC09Projection

36828832

GSE181919

10X Genomics
Oral cavityOSCCLN22Projection

36828832

GSE181919

10X Genomics
∗Projection of epithelial scRNA-seq cells from Oral cavity 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 Oral cavity tissue. Colors represent cell types of each compartment.

check button Cell markers.
TissueMajor Cell TypeMinor Cell TypeFull NameMarkers
Oral cavityEpiBASBasal cellsKRT5,KRT14,KRT15,TP63,ITGA6
Oral cavityEpiSPISpinous cellsKRT1,DSP,IVL
Oral cavityEpiGRAGranular cellsFLG,LOR,SPRR1A
Oral cavityEpiCORCornification cellsSPRR3,CRNN,CNFN,IVL,LOR,SPRR1A
Oral cavityEpiMENMenanocytes PMEL,MLANA,TYR,MITF
Oral cavityEpiSTMStem-like cellsCD44,PROM1,ABCG2,KRT19,TP63
Oral cavityImmMASTMast cellsTPSAB1,CPA3,HDC,CTSG,TPSB2,CMA1,MS4A2
Oral cavityImmcDCConventinal dendritic cellsHLA-DQA1,HLA-DQB1,CLEC10A,CLEC9A,FCER1A,CST3,CD1C
Oral cavityImmpDCPlasmacytoid dendritic cellsIL3RA,CLEC4C,NRP1,KLRD1
Oral cavityImmNKNatural killer cellsKLRF1,SH2D1B,NCAM1,FCGR3A,GNLY,NKG7,GZMH,FGFBP2,CX3CR1,NCR1,NCR3,B3GAT1
Oral cavityImmMDSCMyeloid-derived suppressor cellsITGAM,LY6G6C,IL4R,ARG1
Oral cavityImmM1MACM1 macrophagesFOLR2,FABP3,PLA2G2D,ITGAM,ITGAX,CSF1R,CD68,CD163,THBD
Oral cavityImmINMONInflamotory monocytesCD14,CLEC9A,FCGR1A,LILRB2,CD209,CD1E,FCN1,VCAN,S100A8,S100A9
Oral cavityImmM2MACM2 macrophagesCSF1R,CSF3R,MRC1,IL10,CCL18,VSIG4,CHI3L1
Oral cavityImmMALTBMucosa-Associated Lymphoid Tissue B cellsCXCR4,CD80,CCR6,ITGB7
Oral cavityImmPLAPlasma cellsSSR4,IGLL5,IGLL1,AMPD1,IGHA1,IGHA2,JCHAIN,CD38,TNFRSF17,SDC1,IGHG1,MZB1
Oral cavityImmGDTGamma-delta T cellsTRDC,TRGC1,TRGC2,NKG7,TIGIT
Oral cavityImmCD8TEXExhausted CD8+ T cellsPDCD1,LAG3,CD101,CD38,CXCR6,TIGIT
Oral cavityImmCD4TNNaive CD4+ T cellsIL7R,SELL,CCR7,S100A4,TCF7
Oral cavityImmTH17T-helper 17IL17A,CTSH,KLRB1,IL26,CCR6
Oral cavityImmTREGRegulatory T cellsBATF,TNFRSF4,FOXP3,CTLA4,LAIR2,IL2RA
Oral cavityImmMAITMucosal-associated invariant T cellsSLC4A10,DPP4,KLRB1,ZBTB16,NCR3,RORC,RORA
Oral cavityImmCD8TEXPProgenitor exhausted CD8+ T cellsPDCD1,IL7R,GPR183,NR4A3,REL,TCF7
Oral cavityImmCD8TNNaive CD8+ T cellsCCR7,CD28,ETS1,LEF1,SELL,TCF7,CD27,CD28,S1PR1
Oral cavityImmCD8TEXINTIntermediate exhausted CD8+ T cellsPDCD1,LAG3,CD101,CD38,CXCR6,TIGIT
Oral cavityImmCD8TEREXTerminally exhausted CD8+ T cellsTOX,GZMB,ENTPD1,ITGAE,HAVCR2,CXCL13,PDCD1,LAYN,TOX,IFNG,GZMB,MIR155HG,TNFRSF9,ITGAE
Oral cavityImmCD8TCMCentral memory CD8+ T cellsCCR7,SELL,IL7R,CD27,CD28,PRF1,GZMA,CCL5,GPR183,S1PR1
Oral cavityImmCD8TEFFEffector CD8+ T cellsCX3CR1,FCGR3A,FGFBP2,PRF1,GZMH,TBX21,EOMES,S1PR1
Oral cavityStrENDEndothelial cellsPECAM1,PLVAP,VWF,CLDN5,FLT1,RAMP2,FAM110D,INHBB,NPR1,NOVA2,GPIHBP1,SOX17
Oral cavityStrLYMENDLymphatic endothelial cellsPROX1,LYVE1,PDPN,PROCR,FLT4
Oral cavityStrMSCMesenchymal stem cellsNT5E,THY1,ENG,CD44,ITGB1,MCAM,ENDOD1
Oral cavityStrFIBFibroblastsBMP7,MAP3K2,COL6A1,CD36,CD44,CBLN2,SPOCK1,ACSS3,FN1,COL3A1,BGN,DCN,POSTN,C1R,MMP2,FGF7,MME,CD47
Oral cavityStrSMCSmooth muscle cellsACTA2,CNN1,MYH11,TAGLN,CALD1,TAGLN2
Oral cavityStrMYOFIBMyofibroblastsSYT10,SOSTDC1,DES,TAGLN,MYH11,TPM4
Oral cavityStrPERIPericytesPDGFRA,CSPG4,RGS5,MCAM,COX4I2,KCNJ8,HIGD1B,NOTCH3,HEYL,FAM162B
Oral cavityStrPVAPost capillary venulesSELP,ZNF385D,FAM155A,GALNT15,MADCAM1,CORT
Oral cavityStrMVAMicrovascular cellsPLVAP,CD36,DYSF,NRP1,SH3BP5,EXOC3L2,FABP5,VWA1,BAALC,PRSS23,RAPGEF4,APLN,HTRA1
Oral cavityStrECMExtracellular matrixFBLN1,PCOLCE2,MFAP5
Oral cavityStrINCAFIntermediate cancer-associated fibroblastsPDGFRA,POSTN,ID1,ID3
Oral cavityStrCAFCancer-associated fibroblastsTWIST1,WNT2,FAP,CXCL1,CXCL2
Oral cavityStrICAFInflammatory 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in Healthy-derived samples of Oral cavity tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in Healthy-derived samples of Oral cavity tissue by using scvelo package in Python.
PrecancerTrajectory analysis of cells of epithelial compartment in Precancer-derived samples of Oral cavity tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in Precancer-derived samples of Oral cavity tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in Precancer-derived samples of Oral cavity tissue by using scvelo package in Python.
OSCCTrajectory analysis of cells of epithelial compartment in OSCC-derived samples of Oral cavity tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in OSCC-derived samples of Oral cavity tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in OSCC-derived samples of Oral cavity tissue by using scvelo package in Python.
∗RNA velocity maps for epithelial, immune and stromal compartments of Oral cavity 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 Oral cavity 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 Oral cavity 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 Oral cavity tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
PrecancerHeatmap representation of significantly different TFs among all cell types of epithelial compartment in Precancer-derived samples of Oral cavity 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 Precancer-derived samples of Oral cavity 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 Precancer-derived samples of Oral cavity tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
OSCCHeatmap representation of significantly different TFs among all cell types of epithelial compartment in OSCC-derived samples of Oral cavity 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 OSCC-derived samples of Oral cavity 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 OSCC-derived samples of Oral cavity 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 Oral cavity 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 Oral cavity 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
HealthyBASThe 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.
CAFThe 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.
CAFThe 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
PrecancerBASThe cell-cell communications between each two interacting cell types in Precancer-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 Precancer-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 Precancer-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.
CAFThe cell-cell communications between each two interacting cell types in Precancer-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 Precancer-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 Precancer-derived samples of the selected tissue. Each row represents the significant ligand and receptor gene pairs.
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Disease StateCell TypeCircleSourceTarget
OSCCBASThe cell-cell communications between each two interacting cell types in OSCC-derived samples of Oral cavity 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 OSCC-derived samples of Oral cavity 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 OSCC-derived samples of Oral cavity tissue. Each row represents the significant ligand and receptor gene pairs.
CD4TNThe cell-cell communications between each two interacting cell types in OSCC-derived samples of Oral cavity 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 OSCC-derived samples of Oral cavity 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 OSCC-derived samples of Oral cavity 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 Oral cavity 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_Precancer.png shows the analysis results of stemness, senescence, and metaplasia signatures3_developmental_potential_in_OSCC.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 Oral cavity tissue.Comparisons for degree of cellular senescence of immune compartment in Healthy-derived samples of Oral cavity tissue.Comparisons for degree of cellular senescence of stromal compartment in Healthy-derived samples of Oral cavity tissue.
PrecancerComparisons for degree of cellular senescence of epithelial compartment in Precancer-derived samples of Oral cavity tissue.Comparisons for degree of cellular senescence of immune compartment in Precancer-derived samples of Oral cavity tissue.Comparisons for degree of cellular senescence of stromal compartment in Precancer-derived samples of Oral cavity tissue.
OSCCComparisons for degree of cellular senescence of epithelial compartment in OSCC-derived samples of Oral cavity tissue.Comparisons for degree of cellular senescence of immune compartment in OSCC-derived samples of Oral cavity tissue.Comparisons for degree of cellular senescence of stromal compartment in OSCC-derived samples of Oral cavity tissue.
∗Comparisons for degree of cellular senescence among epithelial, immune and stromal cell populations of Oral cavity tissue with different disease states.

check button Metaplasia and damage response signature (for epithelial cells).
HealthyPrecancerOSCC
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.