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: Endometrium

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 Endometrium 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
EndometriumAEHAEH-subject1Projection

36273006

SRP349751

10X Genomics
EndometriumAEHAEH-subject2Projection

36273006

SRP349751

10X Genomics
EndometriumAEHAEH-subject3Projection

36273006

SRP349751

10X Genomics
EndometriumAEHAEH-subject4Projection

36273006

SRP349751

10X Genomics
EndometriumAEHAEH-subject5Projection

36273006

SRP349751

10X Genomics
EndometriumEECEEC-subject1Projection

36273006

SRP349751

10X Genomics
EndometriumEECEEC-subject2Projection

36273006

SRP349751

10X Genomics
EndometriumEECEEC-subject3Projection

36273006

SRP349751

10X Genomics
EndometriumEECEEC-subject4Projection

36273006

SRP349751

10X Genomics
EndometriumEECEEC-subject5Projection

36273006

SRP349751

10X Genomics
EndometriumADJNormal-subject1Projection

36273006

SRP349751

10X Genomics
EndometriumADJNormal-subject2Projection

36273006

SRP349751

10X Genomics
EndometriumADJNormal-subject3Projection

36273006

SRP349751

10X Genomics
EndometriumADJNormal-subject4Projection

36273006

SRP349751

10X Genomics
EndometriumADJNormal-subject5Projection

36273006

SRP349751

10X Genomics
EndometriumEECGSM5276933Projection

34739872

GSE173682

10X Genomics
EndometriumEECGSM5276934Projection

34739872

GSE173682

10X Genomics
EndometriumEECGSM5276935Projection

34739872

GSE173682

10X Genomics
EndometriumEECGSM5276936Projection

34739872

GSE173682

10X Genomics
EndometriumEECGSM5276937Projection

34739872

GSE173682

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

check button Cell markers.
TissueMajor Cell TypeMinor Cell TypeFull NameMarkers
EndometriumEpiSTMStem-like cellsALDH1A1,ALDH1A3,LGR5,SOX9,KRT14,KRT15,KRT19,ABCG2,PROM1,CD34,CD44,THY1,KIT,NT5E,ITGB1,ENG,MCAM
EndometriumEpiBASBasal cellsKRT5,KRT14,ITGB4,TP63,ITGA6
EndometriumEpiGLANGlandular epithelial cellsSCGB2A2,MSMB,MUC1,PGR,FOXO1,WNT4,FOXA2,SMAD9,HOXA10,PTN,IGFBP1,PRL
EndometriumEpiSURFSurface epithelial cellsCDH1,MUC1,CLDN1,OVGP1,SOX9
EndometriumEpiCILIACiliated cellsFOXJ1,DNAH11,TEKT2,TTC25,TPPP3,PIFO,TP73,MUC12,HES6
EndometriumImmNEUTNeutriphilsCEACAM3,FCGR3B,CXCR2
EndometriumImmMASTMast cellsTPSAB1,CPA3,HDC,CTSG,TPSB2,CMA1,MS4A2
EndometriumImmNKTNatural killer T cellsCD3D,CD3E,NCAM1,KLRB1
EndometriumImmNKNatural killer cellsKLRF1,SH2D1B,NCAM1,FCGR3A,GNLY,NKG7,GZMH,FGFBP2,CX3CR1,NCR1,NCR3,B3GAT1
EndometriumImmM1MACM1 macrophagesFOLR2,FABP3,PLA2G2D,ITGAM,ITGAX,CSF1R,CD68,CD163,THBD
EndometriumImmINMONInflamotory monocytesCD14,CLEC9A,FCGR1A,LILRB2,CD209,CD1E,FCN1,VCAN,S100A8,S100A9
EndometriumImmM2MACM2 macrophagesCSF1R,CSF3R,MRC1,IL10,CCL18,VSIG4,CHI3L1
EndometriumImmBNNaive B cellsCD19,IGHD,IGLL1,CD27,CD38
EndometriumImmMALTBMucosa-Associated Lymphoid Tissue B cellsCXCR4,CD80,CCR6,ITGB7
EndometriumImmBMEMMemory B cellsPAX5,MS4A1,CD19,IGLL5,VPREB3,CD79A,CD79B,IGKC,CD74,HLA-DRA,CD37,CD22
EndometriumImmPLAPlasma cellsSSR4,IGLL5,IGLL1,AMPD1,IGHA1,IGHA2,JCHAIN,CD38,TNFRSF17,SDC1,IGHG1,MZB1
EndometriumImmGDTGamma-delta T cellsTRDC,TRGC1,TRGC2,NKG7,TIGIT
EndometriumImmCD8TEXExhausted CD8+ T cellsPDCD1,LAG3,CD101,CD38,CXCR6,TIGIT
EndometriumImmTH17T-helper 17IL17A,CTSH,KLRB1,IL26,CCR6
EndometriumImmTH1T-helper 1CXCL13,IFNG,CXCR3,BHLHE40,GZMB,PDCD1,HAVCR2,ICOS,IGFLR1,ITGAE
EndometriumImmTFHT follicular helperCXCR5,BCL6,ICA1,TOX,TOX2,IL6ST,MAGEH1,BTLA,ICOS,PDCD1,CD200
EndometriumImmTREGRegulatory T cellsBATF,TNFRSF4,FOXP3,CTLA4,LAIR2,IL2RA
EndometriumImmCD8TEXPProgenitor exhausted CD8+ T cellsPDCD1,IL7R,GPR183,NR4A3,REL,TCF7
EndometriumImmCD8TEXINTIntermediate exhausted CD8+ T cellsPDCD1,LAG3,CD101,CD38,CXCR6,TIGIT
EndometriumImmCD8TEREXTerminally exhausted CD8+ T cellsTOX,GZMB,ENTPD1,ITGAE,HAVCR2,CXCL13,PDCD1,LAYN,TOX,IFNG,GZMB,MIR155HG,TNFRSF9,ITGAE
EndometriumImmCD8TCMCentral memory CD8+ T cellsCCR7,SELL,IL7R,CD27,CD28,PRF1,GZMA,CCL5,GPR183,S1PR1
EndometriumImmCD8TEFFEffector CD8+ T cellsCX3CR1,FCGR3A,FGFBP2,PRF1,GZMH,TBX21,EOMES,S1PR1
EndometriumStrLYMENDLymphatic endothelial cellsPROX1,LYVE1,PDPN,PROCR,FLT4
EndometriumStrFIBFibroblastsBMP7,MAP3K2,COL6A1,CD36,CD44,CBLN2,SPOCK1,ACSS3,FN1,COL3A1,BGN,DCN,POSTN,C1R,MMP2,FGF7,MME,CD47
EndometriumStrSMCSmooth muscle cellsACTA2,CNN1,MYH11,TAGLN,CALD1,TAGLN2
EndometriumStrMYOFIBMyofibroblastsSYT10,SOSTDC1,DES,TAGLN,MYH11,TPM4
EndometriumStrPERIPericytesPDGFRA,CSPG4,RGS5,MCAM,COX4I2,KCNJ8,HIGD1B,NOTCH3,HEYL,FAM162B
EndometriumStrPVAPost capillary venulesSELP,ZNF385D,FAM155A,GALNT15,MADCAM1,CORT
EndometriumStrMVAMicrovascular cellsPLVAP,CD36,DYSF,NRP1,SH3BP5,EXOC3L2,FABP5,VWA1,BAALC,PRSS23,RAPGEF4,APLN,HTRA1
EndometriumStrINCAFIntermediate cancer-associated fibroblastsPDGFRA,POSTN,ID1,ID3
EndometriumStrICAFInflammatory 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 Endometrium 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 Endometrium 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 Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in Healthy-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in Healthy-derived samples of Endometrium tissue by using scvelo package in Python.
ADJTrajectory analysis of cells of epithelial compartment in ADJ-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in ADJ-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in ADJ-derived samples of Endometrium tissue by using scvelo package in Python.
AEHTrajectory analysis of cells of epithelial compartment in AEH-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in AEH-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in AEH-derived samples of Endometrium tissue by using scvelo package in Python.
EECTrajectory analysis of cells of epithelial compartment in EEC-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of immune compartment in EEC-derived samples of Endometrium tissue by using scvelo package in Python.Trajectory analysis of cells of stromal compartment in EEC-derived samples of Endometrium tissue by using scvelo package in Python.
∗RNA velocity maps for epithelial, immune and stromal compartments of Endometrium 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 Endometrium 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 Endometrium 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 Endometrium 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 Endometrium 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 Endometrium 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 Endometrium tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
AEHHeatmap representation of significantly different TFs among all cell types of epithelial compartment in AEH-derived samples of Endometrium 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 AEH-derived samples of Endometrium 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 AEH-derived samples of Endometrium tissue by comparing their average AUC by using pySCENIC in Python.
TF target networkTF target networkTF target network
EECHeatmap representation of significantly different TFs among all cell types of epithelial compartment in EEC-derived samples of Endometrium 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 EEC-derived samples of Endometrium 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 EEC-derived samples of Endometrium 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 Endometrium 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 Endometrium 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.
BMEMThe 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
ADJBMEMThe 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.
CD8TCMThe 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
AEHBMEMThe cell-cell communications between each two interacting cell types in AEH-derived samples of Endometrium 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 AEH-derived samples of Endometrium 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 AEH-derived samples of Endometrium tissue. Each row represents the significant ligand and receptor gene pairs.
CD4TNThe cell-cell communications between each two interacting cell types in AEH-derived samples of Endometrium 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 AEH-derived samples of Endometrium 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 AEH-derived samples of Endometrium tissue. Each row represents the significant ligand and receptor gene pairs.
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Disease StateCell TypeCircleSourceTarget
EECBMEMThe cell-cell communications between each two interacting cell types in EEC-derived samples of Endometrium 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 EEC-derived samples of Endometrium 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 EEC-derived samples of Endometrium tissue. Each row represents the significant ligand and receptor gene pairs.
CD4TNThe cell-cell communications between each two interacting cell types in EEC-derived samples of Endometrium 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 EEC-derived samples of Endometrium 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 EEC-derived samples of Endometrium 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 Endometrium 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_AEH.png shows the analysis results of stemness, senescence, and metaplasia signatures3_developmental_potential_in_EEC.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 Endometrium tissue.Comparisons for degree of cellular senescence of immune compartment in Healthy-derived samples of Endometrium tissue.Comparisons for degree of cellular senescence of stromal compartment in Healthy-derived samples of Endometrium tissue.
AEHComparisons for degree of cellular senescence of epithelial compartment in AEH-derived samples of Endometrium tissue.Comparisons for degree of cellular senescence of immune compartment in AEH-derived samples of Endometrium tissue.Comparisons for degree of cellular senescence of stromal compartment in AEH-derived samples of Endometrium tissue.
EECComparisons for degree of cellular senescence of epithelial compartment in EEC-derived samples of Endometrium tissue.Comparisons for degree of cellular senescence of immune compartment in EEC-derived samples of Endometrium tissue.Comparisons for degree of cellular senescence of stromal compartment in EEC-derived samples of Endometrium tissue.
∗Comparisons for degree of cellular senescence among epithelial, immune and stromal cell populations of Endometrium tissue with different disease states.

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