SCODiA Report by MLBI Lab

Single-Cell Transcriptomic Analysis Reveals Distinct Cellular and Molecular Signatures in Acute and Chronic Colitis

This single-cell RNA sequencing analysis of mouse colon tissue delineates significant shifts in cellular composition, gene expression, and cell-cell interactions across healthy, acute, and chronic colitis conditions. Key findings include a decrease in intestinal epithelial cells and naive T cells, alongside a pronounced expansion of B cells and specific immune subsets like ILCs and M1 macrophages in colitis. Distinct surface marker profiles and pathway enrichments in T cells, macrophages, intestinal epithelial cells, and fibroblasts highlight the dynamic and stage-specific immunological and stromal responses driving disease progression.

Contents

  1. Dataset overview
  2. UMAP Visualization of Colon Single-Cell RNA-seq Data by Condition and Cell Type Annotation
  3. Major Cell Type Score Visualization on UMAP
  4. Marker Expression Profiling and Celltype Annotation Validation in Colon Tissue Subsets
  5. Minor Cell Type Population Analysis in Colitis Conditions
  6. T Cell and Innate Lymphoid Cell Subpopulation Shifts in Colitis
  7. Condition-Specific Shifts in T Cell and ILC Subsets in Colitis
  8. Macrophage Subset Population Dynamics Across Colitis Conditions
  9. Macrophage Subset Proportion Shifts Across Colitis Stages
  10. Cell-Cell Interaction Patterns Across Colitis Conditions
  11. Condition-Specific Cell-Cell Interaction Patterns in Colon Inflammation
  12. Intestinal Epithelial Cell Condition-Specific Surfaceome Markers in Colon Inflammation
  13. Macrophage Condition-Specific Surfaceome Markers in Colon Tissue
  14. Fibroblast Condition-Specific Surfaceome Markers in Colitis
  15. T cell CD4+ Condition-Specific Surfaceome Markers in Colitis
  16. Gene Ontology Enrichment in Macrophages across Colitis Conditions
  17. Gene Set Enrichment Analysis Across Colitis Conditions and Cell Types
  18. Discussion
  19. Query List

0. Dataset overview

데이터셋 요약

추론된 생물학적/질병 문맥

1. UMAP Visualization of Colon Single-Cell RNA-seq Data by Condition and Cell Type Annotation

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis provides an overview of the single-cell RNA sequencing (scRNA-seq) dataset by visualizing cells in a Uniform Manifold Approximation and Projection (UMAP) embedding space. The UMAPs are colored by key metadata: experimental condition (AC, CC, HC), individual sample, and hierarchical cell type annotations (major, minor, and subset levels). This allows for an assessment of cell population structure, condition-specific differences, and the quality of cell type annotation.

Visual Summary

Condition and Sample Distribution

Cell Type Annotation Quality

Biological Interpretation

The UMAP visualizations provide crucial insights into the cellular landscape of the colon across healthy and inflammatory conditions, supporting the inferred context of Inflammatory Bowel Disease (Colitis).

  1. Inflammation-driven Cellular Reprogramming and Infiltration: The clear separation of HC from AC/CC conditions suggests substantial alterations in cell type composition and/or gene expression programs during colitis. The significant overlap between AC and CC conditions, despite some distinct regions, could indicate shared inflammatory pathways or a progression where acute inflammation transitions into chronic forms, involving similar cellular responses or persistent immune cell infiltration [PubMed search: colitis acute chronic immune cells].
  2. Diverse Immune Cell Involvement: The distinct clustering of numerous immune cell populations at major, minor, and subset levels (e.g., T cells, B cells, Macrophages, Dendritic cells, ILCs) highlights the complex immune response in the colon. The differential distribution of these cell types across the condition UMAPs (not directly shown by individual UMAPs, but inferred from the distinct condition clusters) would be a critical next step to investigate which specific immune populations are expanded or activated in AC and CC conditions. For example, specific macrophage subtypes (M1 vs. M2) or T helper cell subsets (Th1, Th2, Th17, Treg) are known to play distinct roles in orchestrating inflammatory responses in the gut [GeneCards: TH17; PubMed search: macrophage subtypes inflammatory bowel disease].
  3. Impact on Resident Cells: The clear annotation of various Intestinal Epithelial cell types (Enterocytes, Goblet, Paneth, Tuft, Microfold, Crypt cells) and Stromal cells (Fibroblast, Smooth muscle cell) is vital. Changes in the relative proportions or transcriptional states of these resident cells in AC/CC regions would reflect the direct impact of inflammation on tissue function, barrier integrity, and repair mechanisms in the colon [PubMed search: intestinal epithelial barrier inflammatory bowel disease]. The maintenance of distinct clusters for these cells suggests that their fundamental identities are preserved even under inflammatory stress, though their expression profiles may be perturbed.

Annotation Notes

The UMAP embeddings demonstrate a high quality of cell type annotation across all hierarchical levels (major, minor, subset). The distinct clustering of various cell types and their consistent organization within the embedding space provide strong confidence in the assigned cell identities. The low number of 'unassigned' cells, which are also scattered rather than forming coherent problematic clusters, further supports the robustness of the annotation. This well-annotated dataset forms a solid foundation for downstream differential expression, gene set enrichment, and cell-cell interaction analyses to unravel the molecular mechanisms underlying acute and chronic colitis.

2. Major Cell Type Score Visualization on UMAP

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis visualizes the distribution of major cell type scores across a Uniform Manifold Approximation and Projection (UMAP) embedding of single-cell RNA-seq data from mouse Colon tissue. The purpose is to assess how well defined and spatially segregated major cell populations are, using a computed "HiCAT_major_score" for each cell type. The results are compared against the existing celltype_major annotations to evaluate the consistency of cell type identification and embedding structure.

Visual Summary

The UMAP plots provide a comprehensive overview of the cellular landscape:

HiCAT_major_score Plots and Correspondence to celltype_major:

Biological Interpretation

The UMAP visualizations of cell type scores confirm the successful identification and spatial separation of major cellular components within the mouse Colon tissue.

Annotation Notes

3. Marker Expression Profiling and Celltype Annotation Validation in Colon Tissue Subsets

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents a dot plot illustrating the expression patterns of a curated set of marker genes across various celltype_subset populations identified in the single-cell RNA-seq data from mouse colon tissue. The primary goal of this visualization is to validate the robustness and specificity of the assigned cell type annotations based on the expression of known cellular markers. The plot shows the mean expression level (color intensity) and the fraction of cells expressing a gene (dot size) for each gene-cell type pair. Markers were discovered across all cell types (target_cell = None), and genes commonly expressed in three or more groups were removed to emphasize specificity.

Visual Summary

The dot plot effectively visualizes the expression of 100 top marker genes across 40 distinct celltype_subset annotations. Each row represents a cell type, and each column represents a marker gene.

Biological Interpretation

The observed marker expression patterns largely align with established knowledge of cellular identity in the colon, providing strong validation for the celltype_subset annotations.

Annotation Notes

Based on the marker expression dot plot, the celltype_subset annotations appear to be highly accurate and well-supported by the expression of known, specific marker genes. The distinct and localized expression patterns provide strong confidence in the biological identity of each cell population. This robust annotation serves as a reliable basis for subsequent differential expression, pathway analysis, and cell-cell interaction studies, particularly in the context of understanding cellular changes in inflammatory conditions like colitis.

4. Minor Cell Type Population Analysis in Colitis Conditions

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents a stacked bar plot illustrating the relative proportions of minor cell types across individual samples from three conditions: Healthy Control (HC), Acute Colitis (AC), and Chronic Colitis (CC). The visualization allows for a direct comparison of cellular composition shifts in the colon tissue under different inflammatory states, providing insights into the immune and stromal cell landscape changes during colitis.

Visual Summary

The population bar plot reveals distinct shifts in minor cell type proportions across the three conditions:

Healthy Control (HC) Samples:

Acute Colitis (AC) Samples:

Chronic Colitis (CC) Samples:

Biological Interpretation

The observed shifts in cell populations align well with the inferred biological context of Inflammatory Bowel Disease (Colitis) progression:

Clinical or Translational Implications

The distinct cellular landscape observed in acute versus chronic colitis has several potential clinical and translational implications:

5. T Cell and Innate Lymphoid Cell Subpopulation Shifts in Colitis

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents a stacked bar plot visualizing the proportional distribution of various T cell and innate lymphoid cell (ILC) subsets within the overall "T cell" major cell type across individual samples from three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC). Each bar represents a single sample, and the colored segments indicate the percentage contribution of specific cell subsets as defined by celltype_subset. The purpose is to identify changes in the cellular composition of the T cell compartment in colitis conditions compared to healthy controls.

Visual Summary

The stacked bar plots illustrate distinct shifts in the proportions of T cell and ILC subsets when comparing colitis conditions (AC and CC) to the healthy control (HC).

Biological Interpretation

The observed changes in T cell and ILC subset populations strongly align with the inferred context of Inflammatory Bowel Disease (Colitis).

  1. Shift from Naive to Effector Phenotypes: The consistent decrease in "T cell (Naive)" proportions in both acute and chronic colitis samples suggests a significant immune activation and differentiation process. Naive T cells are typically abundant in healthy states and differentiate into various effector and memory subsets upon encountering antigens during inflammation. This shift is a hallmark of an active immune response within the colon.
  2. Expansion of Innate Lymphoid Cells (ILCs): The prominent increase in ILC1, ILC2, and ILC3 (NCR+) populations in both AC and CC conditions is a key finding.
  1. Role of Effector T Helper Cells: The maintained or relatively increased proportions of effector T helper cells such as "T cell (Th1)", "T cell (Th17)", "T cell (Th2)", and "T cell (Th22)" reflect a sustained pro-inflammatory environment. Th1 cells drive IFN-γ-mediated inflammation, while Th17 cells are central to intestinal inflammation through IL-17 production, both critical pathways in IBD pathogenesis [4].
  2. Regulatory T Cell (Treg) Dynamics: The relative stability or slight proportional decrease of "T cell (Treg)" in colitis suggests that their suppressive capacity might be overwhelmed by the heightened inflammatory milieu, or that their expansion is insufficient to control the ongoing immune activation. Tregs are crucial for maintaining immune homeostasis and preventing excessive inflammation.

Overall, the data indicate a robust inflammatory immune cell response in the colon during both acute and chronic colitis, characterized by a decrease in naive T cells and a notable expansion of various ILC and effector T helper cell populations, all contributing to the pathogenic processes observed in IBD.

Clinical or Translational Implications

The observed shifts in T cell and ILC populations carry significant clinical and translational implications for Inflammatory Bowel Disease:

---

References

  1. ILC1 in IBD: Powell, N., et al. "Interferon-γ-producing innate lymphoid cells are a critical component of TNF-α-driven intestinal inflammation." *J Exp Med*, 2012. PubMed Search: ILC1 IBD IFN-gamma
  2. ILC2 in IBD: Barnich, N., et al. "Type 2 Innate Lymphoid Cells in Crohn’s Disease." *Front Immunol*, 2021. PubMed Search: ILC2 Crohn's disease
  3. ILC3 in IBD: Sawa, S., et al. "ILC3: A Key Player in Mucosal Immunity and Inflammation." *Trends Immunol*, 2016. PubMed Search: ILC3 IBD IL-17 IL-22
  4. Th1/Th17 in IBD: Strober, W., et al. "The immunopathogenesis of inflammatory bowel disease." *Annu Rev Immunol*, 2013. PubMed Search: Th1 Th17 IBD pathogenesis

6. Condition-Specific Shifts in T Cell and ILC Subsets in Colitis

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis evaluates the relative proportions of various T cell subsets and ILC3(-) populations across three distinct conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC). The box plots presented visualize these cell type proportions, with statistical significance (p-values) indicated for pairwise comparisons between conditions. The primary objective is to identify specific immune cell population shifts that characterize the acute and chronic phases of colitis, providing insight into disease progression and immune modulation in the mouse colon.

Visual Summary

The box plots illustrate the celltype proportion for five specific populations: Th17, T_Cyto (Cytotoxic T cells), ILC3(-), Treg (Regulatory T cells), and Th22, across the AC, CC, and HC conditions.

Key observations and statistically significant differences (p < 0.1, focusing on p < 0.05) include:

Biological Interpretation

The observed changes in T cell and ILC populations provide critical insights into the distinct immunological responses associated with acute versus chronic inflammatory states in the colon.

Clinical or Translational Implications

These findings propose that the distinct immune cell subset profiles observed could serve as valuable tools for differentiating between acute and chronic phases of colitis, with potential ramifications for diagnosis and therapeutic intervention.

Therapeutic Targets

7. Macrophage Subset Population Dynamics Across Colitis Conditions

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents the relative proportions of different macrophage subsets (M1, M2A, M2B, M2C, M2D) within the 'Macrophage' cell population. The data is stratified by three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC), across individual samples. This provides insight into how macrophage polarization shifts in the context of colonic inflammation.

Visual Summary

The stacked bar plots illustrate the proportional representation of five distinct macrophage subsets (Macrophage M1, M2A, M2B, M2C, M2D) across individual samples within each condition (AC, CC, HC).

Overall, a clear trend emerges: both acute and chronic colitis conditions are characterized by a pronounced increase in the relative proportion of pro-inflammatory Macrophage (M1) cells compared to the healthy control state.

Biological Interpretation

The observed shifts in macrophage subsets provide valuable insights into the immune landscape of Inflammatory Bowel Disease (IBD), specifically colitis, given the colon tissue context.

Clinical or Translational Implications

Understanding the dynamics of macrophage subsets holds significant implications for the diagnosis, monitoring, and treatment of colitis.

8. Macrophage Subset Proportion Shifts Across Colitis Stages

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis investigates the proportions of specific macrophage subsets (Mac M2B, Mac M1, and Mac M2D) across three conditions: Healthy Control (HC), Acute Colitis (AC), and Chronic Colitis (CC). Box plots display the distribution of cell type proportions for each subset, and pairwise statistical comparisons highlight significant differences between conditions (p-value < 0.1). This provides insight into how macrophage polarization changes during the progression of colon inflammation.

Visual Summary

The box plots illustrate distinct patterns in the proportions of three macrophage subsets:

Biological Interpretation

Macrophages are critical immune cells in the colon, playing diverse roles in homeostasis and inflammation. Their functional plasticity leads to different polarization states, broadly categorized into pro-inflammatory (M1-like) and anti-inflammatory/resolving (M2-like) phenotypes, with various M2 subtypes. The observed shifts in macrophage subset proportions across conditions strongly suggest dynamic changes in immune responses during colitis:

Collectively, these findings reveal a complex macrophage repolarization landscape during colitis. The transition from acute to chronic inflammation appears to be marked by a shift away from certain M2-like regulatory subtypes (M2B, M2D) and towards a more pronounced pro-inflammatory M1 phenotype, contributing to the persistent inflammatory state characteristic of chronic colitis.

Clinical or Translational Implications

Understanding the specific changes in macrophage subset proportions between acute and chronic colitis can have several implications:

9. Cell-Cell Interaction Patterns Across Colitis Conditions

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis utilizes CellPhoneDB results to visualize significant cell-cell interaction (CCI) patterns across three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC). For each condition, the dot plots display the top 80 cell-cell interactions, prioritizing those with higher statistical significance (larger dot size, representing -log10(p-value)) and stronger mean expression levels of the interacting ligand-receptor pairs (color intensity, representing log2(mean)). The Y-axis indicates the interacting cell type pairs (sender|receiver), and the X-axis lists the specific ligand-receptor complexes. This allows for a comparative assessment of CCI dynamics in different stages of colitis versus a healthy state in mouse colon tissue.

Visual Summary

The visualizations reveal distinct and common cell-cell interaction patterns across the three conditions, with a clear enrichment of specific inflammatory and tissue remodeling pathways in the colitis states (AC and CC) compared to the healthy control (HC).

Colitis-Specific Enrichment (AC and CC vs. HC):

Biological Interpretation

The observed cell-cell interaction patterns provide significant insights into the pathological mechanisms underlying Colitis.

Clinical or Translational Implications

The differential cell-cell interaction patterns identified offer several promising avenues for therapeutic intervention and biomarker discovery in Colitis.

Targeting Inflammatory Axes:

Experimental Validation:

10. Condition-Specific Cell-Cell Interaction Patterns in Colon Inflammation

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis investigates condition-specific cell-cell interactions (CCI) within the colon tissue, focusing on major immune and stromal cell types (Myeloid cell, T cell, B cell, Stromal cell, Endothelial cell). The goal is to identify interactions that differ significantly between conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC), using a dot plot visualization. The analysis highlights the most significant interactions (up to 60 per group, selected by minimum p-value) and provides insights into their biological mechanisms and potential therapeutic relevance in the context of Inflammatory Bowel Disease (IBD)/Colitis.

Visual Summary

The dot plot visualizes the strength (scaled log strength, represented by color intensity) and significance (-log10(p-value), represented by dot size) of various ligand-receptor interactions between specified cell types across different samples and conditions.

  1. Clear Condition-Specific Patterns: There is a distinct pattern differentiating the healthy control (HC) samples from the inflamed conditions (AC and CC).
  1. Dominant Interaction Types in Colitis: The majority of highly active interactions in AC and CC involve adhesion molecules (e.g., ICAM1, VCAM1, MAdCAM1, FN1 binding to various integrins), Notch signaling (JAG1, DLL4), and cytokine/chemokine-related interactions. These often mediate communication between endothelial cells and immune cells (T cells, Macrophages, ILCs) or between endothelial cells themselves, pointing towards extensive immune cell trafficking and vascular remodeling.
  2. Distinguishing AC from CC: While AC and CC share many activated interactions, suggesting common inflammatory pathways, subtle differences in the intensity or presence of specific interactions may exist. However, a broad, pan-inflammatory signature is apparent in both.
  3. Homeostatic Interactions in Healthy Tissue: The interactions prominent in HC samples (e.g., specific TGF-beta and BMP signaling pathways between stromal cells and endothelial cells) likely represent pathways involved in maintaining tissue homeostasis, repair, and baseline immune regulation in a non-inflamed state.

Biological Interpretation

The observed cell-cell interaction patterns provide critical insights into the pathophysiology of colitis. The prominence of certain pathways in inflammatory conditions versus healthy controls underscores their roles in disease development and progression. Below are interpretations of key illustrative interactions:

  1. MAdCAM1-integrin_a4b7_complex (Endo|T cell) in AC/CC:
  1. ICAM1-integrin_aLb2_complex (Endo|T cell) in AC/CC:
  1. DLL4-NOTCH1 (Endo|Endo) in AC/CC:
  1. TGFB2-TGFbeta_receptor1 (Endo|Fib) and TGFB3-TGFbeta_receptor1 (Fib|Fib) in HC (and potentially dysregulated in AC/CC):

Clinical or Translational Implications

The identification of condition-specific cell-cell interactions offers several potential clinical and translational implications for Inflammatory Bowel Disease (Colitis):

  1. Biomarker Discovery: The specific patterns of activated CCIs in AC and CC conditions, especially those largely absent in HC, could serve as novel biomarkers for diagnosing inflammatory states, monitoring disease activity, or predicting response to therapy.
  2. Therapeutic Target Validation: The strong signal for interactions like MAdCAM1-α4β7 integrin, a clinically validated target (Vedolizumab), reinforces the utility of this approach for identifying key pathogenic pathways. Other identified inflammatory CCIs, such as those involving ICAM1-integrin or DLL4-NOTCH, represent potential new therapeutic avenues that could be explored to interrupt immune cell trafficking or pathological angiogenesis.
  3. Understanding Disease Heterogeneity: The ability to resolve CCI patterns at the sample level within AC and CC categories can help dissect the heterogeneity of inflammatory responses and potentially stratify patients for more personalized treatment strategies.
  4. Anti-Fibrotic Strategies: The shift in TGF-β related interactions from a homeostatic role in healthy tissue to potential dysregulation in chronic inflammation suggests that specific modulation of this pathway could be a strategy to prevent or treat fibrosis, a major complication in chronic IBD.

11. Intestinal Epithelial Cell Condition-Specific Surfaceome Markers in Colon Inflammation

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis identifies condition-specific surfaceome markers within Intestinal Epithelial cells from colon tissue across three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC). The dot plot visualizes the mean expression level (color intensity) and the fraction of cells expressing each marker (dot size) for each sample within these conditions. This allows for the identification of surface proteins that are uniquely or differentially expressed in healthy versus inflammatory states, offering insights into epithelial cell function and potential disease mechanisms in Inflammatory Bowel Disease (IBD)/Colitis.

Visual Summary

The dot plot, titled "Intestinal Epithelial cell condition-specific markers," effectively highlights distinct expression patterns of surfaceome genes across the different conditions and individual samples.

Key Trends:

Biological Interpretation

The differential expression of these surfaceome markers in Intestinal Epithelial cells (IECs) provides critical insights into their roles in colon homeostasis and inflammation, characteristic of Inflammatory Bowel Disease (IBD).

Markers Upregulated in Colitis (AC/CC)

These markers are indicative of epithelial responses during acute and chronic inflammation, suggesting roles in immune interaction, barrier dysfunction, tissue remodeling, and aberrant regeneration.

Mucin Family Members (e.g., *Muc4*, *Muc3a*):

Chemokine and Adhesion Molecules (e.g., *Cxcl16*, *Cd44*, *Itgav*, *Cldn15*):

Signaling & Mechanism:

Growth Factor Receptors (e.g., *Egfr*, *Met*):

Signaling & Mechanism:

Cytokine Receptors and Modulators (e.g., *Il10rb*, *Tnfrsf1a*, *Sigirr*):

Signaling & Mechanism:

Matrix Metalloproteinases and ADAMs (e.g., *Mmp14*, *Adam9*):

Signaling & Mechanism:

Markers Upregulated in Healthy Control (HC)

These markers likely represent functions crucial for maintaining intestinal homeostasis, nutrient absorption, barrier integrity, and controlled cell turnover in a healthy state. Their downregulation in colitis suggests a loss of normal epithelial function.

Receptor-type Tyrosine-Protein Phosphatase Kappa (*Ptprk*):

Leucine-rich Repeats and Immunoglobulin-like Domains (*Lrig1*, *Lrig3*):

Dipeptidyl Peptidase 4 (*Dpp4* / *CD26*):

Claudin-2 (*Cldn2*):

Clinical or Translational Implications

The identification of condition-specific surfaceome markers in Intestinal Epithelial cells holds significant translational potential for Inflammatory Bowel Disease.

Therapeutic Target Identification:

In conclusion, this analysis of the Intestinal Epithelial cell surfaceome provides a rich resource for understanding the molecular changes underpinning colon inflammation and for identifying promising new avenues for IBD therapeutic intervention and biomarker development.

12. Macrophage Condition-Specific Surfaceome Markers in Colon Tissue

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis identifies condition-specific surfaceome markers expressed by Macrophage cells in mouse colon tissue across three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC). The dot plot visualizes the mean expression level (color intensity) and the fraction of cells expressing the marker (dot size) for a curated set of surfaceome genes. This provides insight into how macrophage surface phenotypes differ during acute and chronic inflammation compared to a healthy state, highlighting potential functional changes and therapeutic targets.

Visual Summary

The dot plot clearly differentiates macrophage surface marker profiles across the AC, CC, and HC conditions.

Biological Interpretation

The observed condition-specific surfaceome markers on macrophages provide critical insights into their roles in colon health and Inflammatory Bowel Disease (IBD)/Colitis pathogenesis.

Markers Associated with Healthy/Homeostatic Macrophages (HC)

  1. Mrc1 (Mannose Receptor, CD206)
  1. Cx3cr1 (CX3C Chemokine Receptor 1)
  1. Tgfbr2 (Transforming Growth Factor Beta Receptor 2)

Markers Associated with Acute Colitis (AC) Macrophages

  1. Itga5 (Integrin Alpha-5)
  1. Pvr (Poliovirus Receptor, CD155)

Markers Associated with Chronic Colitis (CC) Macrophages

  1. Cxcr4 (CXC Chemokine Receptor 4)
  1. Ccr2 (CC Chemokine Receptor 2)
  1. Tlr2 (Toll-like Receptor 2)
  1. Ifngr2 (Interferon Gamma Receptor 2)
  1. Mmp14 (Matrix Metalloproteinase 14)
  1. Itgam (Integrin Alpha-M, CD11b) / Itgb2 (Integrin Beta-2, CD18)
  1. C5ar1 (Complement C5a Receptor 1, CD88)
  1. Il17ra (Interleukin 17 Receptor A)

Clinical or Translational Implications

The distinct macrophage surfaceome profiles across healthy, acute, and chronic colitis states offer valuable translational insights:

Therapeutic Target Identification:

13. Fibroblast Condition-Specific Surfaceome Markers in Colitis

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis investigates the expression patterns of surfaceome markers in Fibroblast cells across three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC), derived from mouse Colon tissue. The goal is to identify markers that are differentially expressed in a condition-specific manner, shed light on the underlying biological mechanisms, and evaluate their potential as therapeutic targets for Inflammatory Bowel Disease (Colitis). The analysis utilized a dot plot to visualize both the mean expression level (color intensity) and the fraction of cells expressing each marker (dot size) for each sample within the respective conditions. Only surfaceome markers were considered, with a maximum of 40 markers per condition selected for plotting.

Visual Summary

The dot plot effectively illustrates distinct expression signatures for Fibroblasts across the different conditions.

Biological Interpretation

Healthy Control (HC) Fibroblast Markers

The surfaceome markers expressed in healthy colon fibroblasts suggest a role in maintaining tissue homeostasis and regulating basal cellular functions, distinct from inflammatory activation.

Acute Colitis (AC) Fibroblast Markers

The upregulated markers in AC fibroblasts indicate an acute response to inflammation, characterized by enhanced cytokine sensing, cellular communication, and early tissue repair mechanisms.

Chronic Colitis (CC) Fibroblast Markers

The extensive upregulation of markers in CC fibroblasts points to a sustained pro-inflammatory, pro-fibrotic, and ECM-remodeling phenotype, characteristic of chronic disease.

Clinical or Translational Implications

The identification of condition-specific surfaceome markers on fibroblasts provides valuable insights into the pathophysiology of Inflammatory Bowel Disease (Colitis) and highlights potential therapeutic targets.

Targeting Acute Inflammation:

Addressing Chronic Inflammation and Fibrosis:

Restoring Homeostasis:

These findings suggest that a targeted approach focusing on fibroblast-specific surfaceome markers could lead to novel diagnostic or prognostic biomarkers and therapeutic interventions that specifically modulate fibroblast behavior in different stages of Inflammatory Bowel Disease.

14. T cell CD4+ Condition-Specific Surfaceome Markers in Colitis

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents a dot plot illustrating the expression of selected surfaceome markers in CD4+ T cells across different conditions (Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC)) and individual samples. The markers shown are specifically identified as condition-specific, meaning they exhibit distinct expression patterns in one or more conditions compared to others, after filtering for surfaceome proteins and applying significance cutoffs. The plot's size of the dot reflects the fraction of cells expressing the marker, while the color intensity indicates the mean expression level within that cell group. This visualization helps to identify key surface molecules that characterize CD4+ T cell states in different stages of colon inflammation.

Visual Summary

The dot plot clearly segregates the samples into three main conditions: AC, CC, and HC, based on their CD4+ T cell surfaceome marker expression profiles.

Overall, the plot reveals distinct surface protein signatures on CD4+ T cells that differentiate acute, chronic, and healthy states in the colon, suggesting different functional roles and activation states of these cells in IBD pathogenesis.

Biological Interpretation

The distinct expression patterns of surfaceome markers provide insights into the functional alterations of CD4+ T cells in the context of Inflammatory Bowel Disease (Colitis).

Markers Enriched in Acute Colitis (AC)

The following markers are notably upregulated in CD4+ T cells from acute colitis samples:

Il6st (IL-6 Signal Transducer, gp130)

Tmem30a (Transmembrane Protein 30a, CDC50A)

Mfsd6 (Major Facilitator Superfamily Domain Containing 6)

Markers Enriched in Chronic Colitis (CC)

The following markers are notably upregulated in CD4+ T cells from chronic colitis samples:

Icos (Inducible T-cell COStimulator)

Itgav (Integrin Alpha V, CD51)

Markers Predominantly Expressed in Healthy Control (HC) and/or Basal T cell Function

These markers are generally indicative of normal T cell function, homeostasis, or immune surveillance, often downregulated or altered in colitis.

Cd3d (CD3 Delta)

Cd69 (CD69 antigen)

Cd28 (CD28 antigen)

Ccr7 (Chemokine (C-C motif) Receptor 7)

Atp1b3 (ATPase Na+/K+ Transporting Subunit Beta 3)

Tgfbr2 (Transforming Growth Factor Beta Receptor 2)

S1pr1 (Sphingosine-1-Phosphate Receptor 1)

Tspan13 (Tetraspanin 13)

Atp1a1 (ATPase Na+/K+ Transporting Subunit Alpha 1)

Emp3 (Epithelial Membrane Protein 3)

Bsg (Basigin, CD147, EMMPRIN)

Ifngr2 (Interferon Gamma Receptor 2)

Clinical or Translational Implications

The identification of condition-specific surfaceome markers on CD4+ T cells offers significant clinical and translational insights for Inflammatory Bowel Disease.

In summary, this analysis identifies specific surface proteins that differentiate CD4+ T cell responses in acute and chronic colitis, providing a basis for developing new diagnostic tools and therapeutic strategies for IBD.

15. Gene Ontology Enrichment in Macrophages across Colitis Conditions

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents Gene Ontology (GO) enrichment results (GSA_up) for Macrophages, comparing each condition (Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC)) against the combined "other" conditions. The goal is to identify biological pathways and processes that are significantly upregulated in Macrophages in each specific condition, providing insights into their functional state during different phases of colitis. The results are visualized as bar plots, displaying the top enriched terms ranked by their -log(p-value) and corresponding -log(q-value).

Visual Summary

The bar plots display the top 60 Gene Ontology terms significantly enriched (upregulated) in Macrophages for AC, CC, and HC conditions, each compared against the remaining conditions. The x-axis represents the -log(p-value) and -log(q-value), indicating the statistical significance of the enrichment.

Biological Interpretation

The Gene Ontology analysis highlights distinct functional states of Macrophages during acute colitis, chronic colitis, and homeostatic conditions in the colon.

Macrophage Activation in Acute Colitis (AC vs. others)

Macrophages in acute colitis exhibit a strong pro-inflammatory and immune-activated phenotype. Key enriched pathways include:

This profile is highly consistent with the initial, aggressive immune response characteristic of acute inflammatory bowel disease.

Macrophage Reprogramming in Chronic Colitis (CC vs. others)

Macrophages in chronic colitis display a shift towards sustained cellular activity, metabolic reprogramming, and mechanisms involved in tissue remodeling and chronic inflammation. Notable pathways include:

This profile reflects macrophages adapted to a persistent inflammatory environment, characterized by metabolic shifts and involvement in tissue pathology and repair, which is typical for chronic IBD.

Macrophage Homeostasis in Healthy Controls (HC vs. others)

Macrophages from healthy controls show a distinct and generally weaker pattern of pathway enrichment when compared to the combined disease states.

The overall low significance for most terms in HC compared to disease conditions suggests that the healthy state is characterized by the absence of widespread, strongly upregulated inflammatory pathways that define colitis, emphasizing a more quiescent or homeostatic role for macrophages.

Clinical or Translational Implications

The differential Gene Ontology enrichment in Macrophages across acute, chronic, and healthy states provides critical insights into the pathogenesis and progression of Colitis (Inflammatory Bowel Disease).

16. Gene Set Enrichment Analysis Across Colitis Conditions and Cell Types

Report figure

[Analysis Visualization Results]...

Analysis Overview

This analysis presents Gene Set Enrichment Analysis (GSEA) results as a dot plot, illustrating the enrichment or depletion of various Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways across different cell types and experimental conditions. The dataset comprises single-cell RNA-seq data from mouse Colon tissue under three conditions: Acute Colitis (AC), Chronic Colitis (CC), and Healthy Control (HC). Each column represents a specific cell type and condition, with the condition compared against "all others" (e.g., AC_vs_others compares Acute Colitis against Chronic Colitis and Healthy Control combined). The size of each dot indicates the statistical significance (-log(p-val)), while the color reflects the Normalized Enrichment Score (NES), with red indicating pathway upregulation (positive NES) and blue indicating pathway downregulation (negative NES).

Visual Summary

The dot plot reveals a landscape of dynamic pathway activity changes across different cell types in the context of colitis.

Biological Interpretation

The observed GSEA patterns strongly align with the inferred biological context of Inflammatory Bowel Disease (Colitis) in the colon.

Clinical or Translational Implications

The comprehensive GSEA results provide valuable insights into potential therapeutic targets and biomarkers for Inflammatory Bowel Disease.

17. Discussion

The comprehensive single-cell analysis reveals a profound reprogramming of the colon's cellular landscape in Inflammatory Bowel Disease (Colitis), moving from a homeostatic healthy state (HC) to highly activated acute (AC) and chronic (CC) inflammatory milieus. This reprogramming involves dynamic shifts in cell type composition, distinct activation states of immune and stromal cells, and altered communication networks that collectively drive disease pathology.

Immune Cell Dynamics and Activation: The immune compartment undergoes dramatic changes. Naive T cells consistently decrease in both acute and chronic colitis, indicating widespread activation and differentiation. Acute colitis is characterized by an increase in Th22 cells, suggesting an early, potentially protective or repair-oriented response, along with a general expansion of Innate Lymphoid Cells (ILCs). As inflammation progresses to the chronic phase, there is a significant shift towards pro-inflammatory Th17 and ILC3(-) cells, alongside an unexpected increase in regulatory T cells (Treg). The presence of elevated Tregs in a chronically inflamed setting may suggest a compensatory but ultimately overwhelmed or dysfunctional suppressive mechanism, a common phenomenon in chronic inflammatory diseases. A striking feature of chronic colitis is the dramatic expansion of B cell populations, often becoming the predominant cell type, which strongly implicates a significant humoral immune component and potentially the formation of tertiary lymphoid structures in sustaining chronic inflammation. Macrophages also exhibit a clear pro-inflammatory shift, with a sustained increase in M1 macrophage proportions in both acute and chronic colitis, consistent with their role in driving inflammation. However, the dynamics within M2 subsets are more nuanced; M2B macrophages initially increase in acute colitis but then decrease in the chronic phase, while M2D macrophages are reduced in both colitis conditions, suggesting an impaired capacity for immune regulation and resolution in established disease.

Epithelial Barrier Dysfunction and Stromal Remodeling: Intestinal Epithelial Cells (IECs) suffer progressive loss and damage from healthy to acute to chronic colitis, reflecting compromised barrier integrity. In the healthy state, IECs are characterized by markers of nutrient absorption (e.g., SLC5A8, SLC16A1) and stem cell homeostasis (LRIG1). In contrast, inflamed IECs in colitis upregulate mucin family members (e.g., MUC4), chemokines (CXCL16), adhesion molecules (CD44, ITGAV), growth factor receptors (EGFR, MET), and pro-inflammatory cytokine receptors (TNFRSF1A). This signature indicates active immune cell recruitment, dysregulated epithelial proliferation and repair, and increased sensitivity to inflammatory mediators, all contributing to ongoing barrier dysfunction. Fibroblasts, the key stromal cells, transition from a quiescent, homeostatic phenotype (marked by CD34, PTGFRN, PIK3IP1) to an activated state. Acute colitis fibroblasts show early inflammatory responses with increased IL1R1, EREG, PDGFRB, AOC3, and OSMR, suggesting heightened sensitivity to cytokines and engagement in early tissue repair. Chronic colitis fibroblasts, however, display a profound pro-fibrotic and pro-inflammatory phenotype, characterized by robust upregulation of extracellular matrix (ECM) components (SPP1, Collagens, FN1), adhesion molecules (Integrins, MCAM), and signaling molecules (Notch1, SDC1). This extensive reprogramming underlies their central role in mediating fibrosis, a major complication of chronic IBD.

Dysregulated Cell-Cell Communication and Pathway Activation: Cell-cell interaction analysis highlights extensive communication changes in colitis. Inflammatory (e.g., SPP1-CD44/integrin, CXCL12-CXCR4, ICAM1-integrin) and tissue remodeling (integrin-collagen/fibronectin, DLL4-NOTCH1) interactions are highly upregulated in both acute and chronic colitis, particularly involving macrophages, T cells, endothelial cells, and fibroblasts. The MAdCAM1-α4β7 integrin axis, critical for T cell gut-homing, is markedly active in colitis, a known pathogenic pathway in IBD. Gene Set Enrichment Analysis (GSEA) reinforces these observations, showing widespread activation of core inflammatory pathways (e.g., Toll-like receptor, IL-17, NOD-like receptor, JAK-STAT signaling) across multiple immune cell types in colitis. Concomitantly, immune cells undergo metabolic reprogramming (e.g., upregulation of glycolysis). In structural cells, epithelial apoptosis and fibroblast-driven ECM remodeling pathways are prominently activated, coupled with persistent host responses to microbial presence (Bacterial invasion of epithelial cells pathway). In contrast, healthy controls show enrichment of homeostatic pathways such as PPAR signaling, which are disrupted in colitis.

In summary, acute colitis exhibits an initial, rapid immune and tissue repair response that, in chronic colitis, transitions into a sustained inflammatory state characterized by B cell dominance, persistent pro-inflammatory macrophage and T cell responses, extensive fibroblast-mediated fibrosis, and profound epithelial dysfunction. These stage-specific molecular and cellular signatures offer critical insights into disease progression and identify multiple points of therapeutic intervention.

Hypotheses:

  1. The shift from Th22-dominant responses in acute colitis to Th17/ILC3(-)/Treg-dominant responses in chronic colitis dictates the differential clinical course and responsiveness to anti-inflammatory therapies.
  2. The dramatic B cell expansion and altered B cell interactions in chronic colitis contributes to disease pathogenesis through specific mechanisms such as autoantibody production or cytokine secretion, driving sustained inflammation and supporting tertiary lymphoid structures.
  3. A sustained increase in pro-inflammatory M1 macrophages, coupled with a decrease in regulatory M2B/M2D macrophages in chronic colitis, creates an environment conducive to chronic tissue damage and impaired resolution.
  4. Dysregulation of epithelial stem cell maintenance (e.g., loss of LRIG1 expression) and nutrient transport (e.g., SLC5A8) contributes to compromised barrier function and impaired repair in colitis.
  5. Fibroblast activation in chronic colitis, marked by increased expression of SPP1, collagens, fibronectin, and specific integrins, directly drives intestinal fibrosis, a major complication of IBD.

Potential therapeutic targets:

  1. IL-6 Signal Transducer (Il6st) / JAK/STAT pathway: Upregulated in CD4+ T cells in acute colitis, driving Th17 differentiation and T cell survival, key to acute inflammatory responses. Evidence: High Il6st expression on CD4+ T cells in AC, strong enrichment of JAK-STAT signaling in GSEA for immune cells in colitis, and a known role in Th17 differentiation. JAK inhibitors (tofacitinib, upadacitinib, filgotinib) are established IBD therapies. Validation: Test JAK inhibitors or IL-6/IL-6R antibodies in acute colitis models to confirm reduction in T cell activation and inflammation.
  2. MAdCAM1-α4β7 Integrin Axis: Crucial for T cell homing and extravasation into inflamed intestinal tissue, highly active in both acute and chronic colitis, a central pathogenic pathway in IBD. Evidence: Prominent MAdCAM1-integrin_a4b7_complex interactions in condition-specific CCI analysis involving Endothelial and T cells. This is a clinically validated therapeutic target in IBD (Vedolizumab). Validation: Further validate with flow cytometry/immunohistochemistry on patient samples. Assess efficacy of α4β7 integrin antagonists in mouse models of colitis to confirm reduction in T cell infiltration.
  3. ICOS-ICOSL Pathway: ICOS is a costimulatory receptor highly expressed on activated CD4+ T cells in chronic colitis, promoting T cell proliferation and cytokine production, critical for sustained chronic inflammation. Evidence: High Icos expression on CD4+ T cells in CC. Identified as a key pathway in chronic T cell activation and humoral immunity. Validation: Evaluate ICOS/ICOSL blocking antibodies in chronic colitis models to assess reduction in T cell proliferation, cytokine production, and disease severity.
  4. OX40-OX40L Pathway: OX40 (Tnfrsf4) is a costimulatory receptor highly expressed on activated CD4+ T cells in chronic colitis, enhancing T cell survival and effector functions, crucial for maintaining chronic immune responses. Evidence: High Tnfrsf4 expression on CD4+ T cells in CC. Known role in sustaining chronic immune responses and breaking T cell tolerance. Validation: Test OX40/OX40L blocking antibodies in chronic colitis models to assess reduction in pathogenic CD4+ T cell survival and activity.
  5. CXCR4-CXCL12 Axis: CXCR4 is highly expressed on macrophages in chronic colitis, mediating their recruitment, homing, and retention in inflamed tissue, thereby contributing to ongoing inflammation and tissue remodeling. Evidence: High Cxcr4 expression on macrophages in CC. Identified role in immune cell trafficking and chronic inflammation. (PubMed: CXCR4 and IBD) Validation: Use CXCR4 antagonists (e.g., Plerixafor) in chronic colitis models to evaluate reduced macrophage infiltration and inflammation.
  6. CCR2-CCL2 Axis: CCR2 is a critical mediator of inflammatory monocyte/macrophage recruitment from the bloodstream into chronically inflamed tissues, fueling chronic inflammation and tissue damage. Evidence: High Ccr2 expression on macrophages in CC. Known role in monocyte/macrophage recruitment and chronic inflammation. (GeneCards: CCR2) Validation: Test CCR2 antagonists in chronic colitis models to limit macrophage accumulation and assess impact on disease severity.
  7. SPP1 (Osteopontin) / CD44-Integrin Axis: SPP1 is a major matricellular protein and cytokine strongly upregulated in fibroblasts (and macrophages) in chronic colitis, promoting immune cell adhesion, survival, and driving ECM deposition and fibrosis. Evidence: High Spp1 expression on fibroblasts in CC (and in macrophage-fibroblast interactions from CCI analysis). Identified role in chronic inflammation and fibrotic processes. (PubMed on SPP1 in IBD) Validation: Use SPP1 neutralizing antibodies or CD44/integrin antagonists in chronic colitis models to reduce inflammation and fibrosis.
  8. IL1R1 (Interleukin 1 Receptor Type 1): Strongly upregulated in acute colitis fibroblasts, making these cells highly responsive to pro-inflammatory cytokines IL-1α/β, which drives local acute inflammation. Evidence: High Il1r1 expression on fibroblasts in AC. Known as the primary receptor for pro-inflammatory IL-1α/β. (UniProt: P14779 (IL1R1_MOUSE)) Validation: Test IL-1 antagonists (e.g., anakinra, canakinumab) or IL1R1 blocking agents in acute colitis models to reduce early inflammatory responses.
  9. MMP14 (Matrix Metalloproteinase 14): Upregulated in macrophages in chronic colitis, actively degrading extracellular matrix components and involved in tissue remodeling, contributing to tissue damage and fibrosis. Evidence: High Mmp14 expression on macrophages in CC. Known role in ECM degradation, tissue remodeling, and cell migration. (GeneCards: MMP14) Validation: Investigate specific MMP14 inhibitors in chronic colitis models to mitigate tissue damage and fibrotic complications.

Follow-up validation ideas:

  1. Flow Cytometry/Immunohistochemistry: Validate changes in T cell (Th17, Th22, Treg, T_Cyto) and macrophage (M1, M2B, M2D) subset proportions and surface marker expression (e.g., CD34, IL1R1, SPP1 on fibroblasts; ICOS, OX40, S1PR1 on CD4+ T cells; CXCR4, CCR2, TLR2 on macrophages; LRIG1, TNFRSF1A on IECs) in human IBD patient biopsies across disease stages.
  2. Spatial Transcriptomics/Proteomics: Map the spatial distribution and interactions of key immune and stromal cell populations (e.g., MAdCAM1-α4β7, ICAM1-integrin, SPP1-CD44 interactions) in inflamed vs. healthy colon tissue to confirm cell-cell communication patterns.
  3. In vitro/Ex vivo Co-culture Models: Establish co-culture systems involving IECs, fibroblasts, macrophages, and T cells from IBD patients or mouse models to functionally validate predicted cell-cell interactions and the impact of specific markers (e.g., MAdCAM1, SPP1, IL1R1) on inflammatory responses, fibrosis, or epithelial barrier function.
  4. Perturbation Assays (in vivo/in vitro): Use genetic (CRISPR/shRNA) or pharmacological interventions (e.g., small molecule inhibitors, neutralizing antibodies) to target specific candidate genes (e.g., SPP1, IL1R1, CXCR4, CCR2, OX40, S1PR1, EGFR, MET, MMP14) in colitis models to assess their impact on inflammation, immune cell infiltration, epithelial repair, and fibrosis.
  5. Organoid Models: Utilize colon organoids derived from healthy or IBD patients to assess the impact of inflammatory cytokines on IEC marker expression (e.g., SLC5A8, LRIG1, MUC4, TNFRSF1A) and barrier function.

Limitations:

This study is based on a mouse model, and further validation in human IBD cohorts is essential to confirm the translatability of these findings. The single-cell RNA sequencing data provides correlative insights into cellular changes and gene expression; direct functional assays are needed to establish causality for observed population shifts, gene expression changes, and cell-cell interactions. While robust, the interpretation of condition abbreviations (AC, CC) as acute and chronic colitis is an inference based on contextual evidence. The tissue dissociation process inherent to single-cell analysis may introduce stress-induced artifacts or alter certain cell-cell interactions. Finally, the focus on surfaceome markers, while valuable, may overlook crucial intracellular signaling or metabolic changes.

18. Query List

  1. Show and save UMAPs for condition, sample, major cell type, minor cell type, and celltype_subset in two columns.
  2. Show major cell type scores on UMAP and save the result.
  3. Show and save a marker expression dot plot for celltype_subset. SET target_cell = None and var_group_rotation = 45. Leave all other arguments at their default values.
  4. Show and save a population bar plot of minor cell types.
  5. Show and save a population bar plot of T cell subsets.
  6. Show and save box plots of T cell subset populations with statistically significant differences between conditions, if any. Choose ncols based on the total number of panels.
  7. Show and save a population bar plot of macrophage subsets.
  8. Show and save box plots of macrophage subset populations with statistically significant differences between conditions, if any. Choose ncols based on the total number of panels.
  9. Show and save cell-cell interaction patterns. Select at most 80 cell-cell interactions per group.
  10. Find cell-cell interactions involving major immune and stromal cells that differ significantly between conditions, show them as a dot plot, and save the result. Set max_n_items_per_group to 60. For each interaction identified under each condition, using the provided dataset context, describe the associated signaling pathways and mechanisms and, where relevant, its potential as a therapeutic target and related therapeutic agents.
  11. Show marker expressions for Intestinal Epithelial cell in a dot plot, and save the result. Use only surfaceome markers, with at most 50 markers per condition. For each marker identified under each condition, using the provided dataset context, describe the associated signaling pathways and biological mechanisms within the tissue and, where relevant, its potential as a therapeutic target for Inflammatory Bowel Disease (Colitis) and related therapeutic agents.
  12. Show marker expressions for Macrophage in a dot plot, and save the result. Use only surfaceome markers, with at most 40 markers per condition. For each marker identified under each condition, using the provided dataset context, describe the associated signaling pathways and biological mechanisms within the tissue and, where relevant, its potential as a therapeutic target for Inflammatory Bowel Disease (Colitis) and related therapeutic agents.
  13. Show marker expressions for Fibroblast in a dot plot, and save the result. Use only surfaceome markers, with at most 40 markers per condition. For each marker identified under each condition, using the provided dataset context, describe the associated signaling pathways and biological mechanisms within the tissue and, where relevant, its potential as a therapeutic target for Inflammatory Bowel Disease (Colitis) and related therapeutic agents.
  14. Show marker expressions for T cell CD4+ in a dot plot, and save the result. Use only surfaceome markers, with at most 40 markers per condition. For each marker identified under each condition, using the provided dataset context, describe the associated signaling pathways and biological mechanisms within the tissue and, where relevant, its potential as a therapeutic target for Inflammatory Bowel Disease (Colitis) and related therapeutic agents.
  15. Show Gene Ontology (GSA) analysis results for Macrophage as a bar plot, and save the result.
  16. Show Gene Set Enrichment Analysis results as a dot plot, and save it. Set the color map to RdBu_r, n_pws_to_show to 120, and target_cells to None.
↑ Top