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343 changes: 343 additions & 0 deletions docs/research/cystic_fibrosis_datasets.md
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# Cystic Fibrosis Research Datasets and Models

**Date**: 2026-02-12
**Focus Areas**: Single-cell datasets, NAM (New Approach Methodology) models, Physiological models

---

## Executive Summary

This document provides a comprehensive review of cutting-edge datasets and model systems for cystic fibrosis research, prioritizing single-cell genomics, new approach methodologies (NAMs) including organoid systems, and physiological models that recapitulate human CF pathophysiology. These resources enable mechanistic understanding of CF pathogenesis and support personalized medicine approaches.

---

## 1. Single-Cell Datasets

### 1.1 Recent Single-Cell RNA Sequencing Studies (2024-2026)

#### **Pediatric CF Lung Single-Cell Atlas (2026)**
- **Publication**: Scientific Reports, 2026
- **Description**: Single-cell transcriptional landscape of the pediatric CF lung from minimally invasive respiratory specimens
- **Key Findings**: Revealed dysregulated, neutrophil-dominant inflammation and a pro-inflammatory airway epithelium
- **Sample Source**: Minimally invasive respiratory specimens from pediatric CF patients
- **Significance**: Provides insights into early-stage CF lung pathology in children
- **Reference**: [Scientific Reports Article](https://www.nature.com/articles/s41598-026-36125-w)

#### **CF Liver Disease Single-Cell Analysis (2024)**
- **Publication**: Liver International, June 2024
- **Description**: Single-cell RNA sequencing of CF liver disease explants
- **Key Findings**: Revealed endothelial complement activation in CF liver disease
- **Sample Source**: CF liver disease explants from transplant patients
- **Significance**: First comprehensive single-cell analysis of CF hepatic complications
- **PMID**: 38847551
- **Reference**: [Liver International Article](https://onlinelibrary.wiley.com/doi/10.1111/liv.15963)

#### **Human Fetal Lung Development Atlas (2024)**
- **Publication**: Nature Communications, July 2024
- **Description**: Over 150,000 single cells from 19 healthy human fetal lung tissues
- **Key Findings**: Captured developmental trajectories from progenitor cells expressing CFTR
- **Sample Source**: Human fetal lung tissues (gestational ages not specified)
- **Significance**: Provides developmental context for understanding CFTR expression and CF pathogenesis from embryonic origins
- **Reference**: [Nature Communications Article](https://www.nature.com/articles/s41467-024-50281-5)

### 1.2 Foundational Single-Cell Studies (2021-2023)

#### **Multi-Institute CF Airways Consortium Study (2021)**
- **Publication**: Nature Medicine, 2021
- **Description**: Single-cell transcriptional analysis of CF airways at single-cell resolution
- **Key Findings**:
- Compared proximal airways from 19 CF donors (undergoing transplantation) with 19 healthy lung donors
- Revealed overabundance of epithelial cells transitioning to specialized ciliated and secretory cell subsets
- Demonstrated decrease in cycling basal cells
- Identified altered epithelial cell states and composition
- **Sample Source**: Proximal airways from transplant donors (CF) and healthy controls
- **Cell Count**: Comprehensive analysis of airway epithelial populations
- **Significance**: Landmark study establishing baseline single-cell reference for CF airways
- **Reference**: [Nature Medicine Article](https://www.nature.com/articles/s41591-021-01332-7)

#### **CF Lung Basic and Translational Insights (2023)**
- **Publication**: American Journal of Respiratory Cell and Molecular Biology, 2023
- **Description**: Review of single-cell RNA sequencing insights in CF lung
- **Key Findings**: Summarized new basic and translational insights from scRNA-seq studies
- **Significance**: Comprehensive synthesis of single-cell findings in CF research
- **Reference**: [AJRCMB Article](https://www.atsjournals.org/doi/full/10.1165/rcmb.2022-0038TR)

### 1.3 Computational Resources

#### **CF-Seq Web Application (2022)**
- **Publication**: Scientific Data, 2022
- **Description**: Accessible web application for rapid re-analysis of CF pathogen RNA sequencing studies
- **Functionality**: Enables rapid re-analysis and meta-analysis of CF RNA-seq datasets
- **Significance**: Democratizes access to CF transcriptomic data analysis
- **Reference**: [Scientific Data Article](https://www.nature.com/articles/s41597-022-01431-1)

---

## 2. NAM (New Approach Methodology) Models

### 2.1 Intestinal Organoid Models

#### **HIT-CF Organoid Study**
- **Description**: Stratifying CF patients based on intestinal organoid response to different CFTR-modulators
- **Methodology**: Forskolin-induced swelling (FIS) assay in rectal organoids
- **Key Features**:
- Generated from rectal biopsies
- Enables robust CFTR function measurements
- FIS assay accurately predicts treatment efficacy in individual patients
- **Clinical Application**: Creating access pathway for CFTR-modulating drugs for patients with ultra-rare CFTR variants
- **Significance**: Enables personalized medicine for patients excluded from classical clinical trials
- **Reference**: [Translational Medicine Communications](https://transmedcomms.biomedcentral.com/articles/10.1186/s41231-020-00060-3)

#### **Intestinal Organoid Monolayer Models**
- **Publication**: Life Science Alliance, 2023
- **Description**: Validating organoid-derived human intestinal monolayers for personalized therapy
- **Key Features**:
- Derived from patient intestinal organoids
- Enables high-throughput screening
- Maintains CFTR-specific phenotypes
- **Reference**: [Life Science Alliance Article](https://www.life-science-alliance.org/content/6/6/e202201857)

### 2.2 Nasal Epithelial Organoid Models

#### **Conditionally Reprogrammed Nasal Stem Cells**
- **Publication**: European Respiratory Journal, 2021
- **Description**: Theratyping CF in vitro using ALI culture and organoids from patient-derived nasal epithelial conditionally reprogrammed stem cells
- **Key Features**:
- Highly efficient in vitro expansion of airway epithelial stem cells (AESCs)
- Generated from minimally invasive nasal brushing
- CFTR modulating drug efficacy predicted in personalized manner using 3D airway organoids
- Forskolin-induced swelling assay for drug response testing
- **Significance**: Non-invasive patient-specific model for drug screening
- **Reference**: [ERJ Article](https://publications.ersnet.org/content/erj/58/6/2100908)

#### **2D-to-3D Nasal Epithelial Model**
- **Publication**: Life Science Alliance, 2022
- **Description**: Measuring CF drug responses in organoids derived from 2D differentiated nasal epithelia
- **Methodology**: Transition from 2D air-liquid interface cultures to 3D organoid format
- **Significance**: Combines advantages of both culture systems
- **Reference**: [Life Science Alliance Article](https://www.life-science-alliance.org/content/5/12/e202101320)

### 2.3 Other Tissue-Specific Organoids

#### **Endometrium-Derived Organoids**
- **Publication**: Cellular and Molecular Life Sciences, 2025
- **Description**: Endometrium-derived organoids from CF patients and mice
- **Application**: New models to study disease-associated endometrial pathobiology
- **Significance**: Expands understanding of CF beyond respiratory and gastrointestinal systems
- **Reference**: [CMLS Article](https://link.springer.com/article/10.1007/s00018-025-05627-7)

### 2.4 Organ-on-a-Chip Models

#### **CF Organoid-on-a-Chip (OrgOC)**
- **Publication**: Recent review (2025)
- **Description**: Integration of organoid technology with microfluidic platforms
- **Key Features**:
- High simulation fidelity
- Individualized therapeutic capabilities
- Cost-effectiveness
- High-throughput screening potential
- **Significance**: Next-generation platform for CF drug discovery and personalized medicine
- **Reference**: [ScienceDirect Article](https://www.sciencedirect.com/science/article/pii/S2590006425007185)

---

## 3. Physiological Models

### 3.1 Advanced In Vitro Models

#### **CF Airway-on-a-Chip**
- **Publication**: Journal of Cystic Fibrosis, 2021
- **Description**: Modeling pulmonary CF in a human lung airway-on-a-chip
- **Key Features**:
- Faithfully recapitulates features of human CF airways
- Enhanced mucus accumulation
- Increased cilia density
- Higher ciliary beating frequency compared to healthy controls
- **Significance**: Organ-level physiological modeling in microfluidic device
- **Reference**: [JCF Article](https://www.cysticfibrosisjournal.com/article/S1569-1993(21)02106-8/fulltext)

#### **Air-Liquid Interface (ALI) Cultures**
- **Description**: Two- and three-dimensional cell culture models of human CF airway epithelium
- **Applications**:
- Studying mucus production
- Inflammatory response modeling
- Airway remodeling research
- **Key Features**:
- Better recapitulate native airway epithelium compared to submerged cultures
- Polarized differentiated epithelia
- Maintained ion channel physiology
- **Significance**: Standard model for CF airway research
- **Reference**: [PMC Article](https://pmc.ncbi.nlm.nih.gov/articles/PMC6276497/)

### 3.2 Cell Lines

#### **NuLi-1 and CuFi Cell Lines**
- **Publication**: American Journal of Physiology-Lung Cellular and Molecular Physiology, 2002
- **Description**: Development of CF and non-CF airway cell lines
- **Cell Lines**:
- **NuLi-1**: Normal lung epithelial cells
- **CuFi-1, CuFi-3, CuFi-4**: CF epithelial cells from various CF genotypes
- **Key Features**:
- Derived from human airway epithelium
- Capable of forming polarized differentiated epithelia at air-liquid interface
- Exhibit transepithelial resistance
- Maintain genotype-specific ion channel physiology
- **Significance**: Immortalized cell lines enabling reproducible CF research
- **Reference**: [AJP-Lung Article](https://journals.physiology.org/doi/full/10.1152/ajplung.00355.2002)

### 3.3 Co-Culture Models

#### **Multi-Cell Type Co-Cultures**
- **Description**: Co-cultures of airway epithelial cells with immune and stromal cells
- **Components**:
- Airway epithelial cells
- Macrophages
- Dendritic cells
- Fibroblasts
- **Applications**:
- Disease modeling
- Drug discovery
- Identification of novel therapeutic targets
- **Significance**: Recapitulates complex cellular interactions in CF airways
- **Reference**: [Analytical Cellular Pathology Review](https://onlinelibrary.wiley.com/doi/10.1155/2018/3839803)

### 3.4 Advanced Scaffold-Based Models

#### **3D Scaffold and Cell Sheet Technology**
- **Description**: Sophisticated models based on scaffold materials and cell sheet technology
- **Key Features**:
- Recapitulate tissue- and organ-level physiology
- Enable long-term culture
- Better mimic in vivo architecture
- **Significance**: Bridge between 2D cultures and in vivo studies

### 3.5 Animal Models

#### **Large Animal CF Models**
- **Species**: Rat, ferret, pig
- **Key Features**:
- Demonstrate range of well-characterized lung disease phenotypes
- Varying degrees of severity
- More closely recapitulate human CF lung disease than mouse models
- **Limitations of Mouse Models**: CF mice do not exhibit severe pathology characteristic of established human CF lung disease (chronic respiratory infection, inflammation, mucus plugging, progressive bronchiectasis)
- **Significance**: Essential for preclinical therapeutic development
- **Reference**: [Respiratory Research Article](https://respiratory-research.biomedcentral.com/articles/10.1186/s12931-018-0750-y)

---

## 4. Key Mechanistic Insights from Models

### 4.1 Airway Surface Liquid Pathophysiology
- Dehydrated secretions due to CFTR dysfunction
- Impaired mucociliary clearance
- Role of submucosal glands in disease progression
- **Reference**: [AJP-Cell Physiology](https://journals.physiology.org/doi/full/10.1152/ajpcell.00417.2002)

### 4.2 Epithelial Cell Dysfunction
- Central role in innate immune responses
- Involvement in mucociliary clearance
- Pathogen sensing and inflammatory response orchestration
- Activation of mesenchymal cells
- **Reference**: [PMC Article on Airway Epithelium](https://pmc.ncbi.nlm.nih.gov/articles/PMC5911336/)

### 4.3 Pathogenic Features Modeled
- Chronic inflammation
- Oxidative stress
- Mucus plugging
- Airway remodeling
- Respiratory infections
- **Reference**: [PMC Pathogenesis Review](https://pmc.ncbi.nlm.nih.gov/articles/PMC2430075/)

---

## 5. Clinical Translation and Personalized Medicine

### 5.1 Theratyping Applications
Organoid models enable patient-specific drug response prediction:
- **FIS Assay**: Forskolin-induced swelling correlates with clinical efficacy
- **Rare Variant Testing**: Patients with ultra-rare CFTR variants can access modulators based on organoid response
- **Precision Medicine**: Treatment decisions guided by individual organoid drug responses

### 5.2 High-Throughput Screening
NAM models enable:
- Cost-effective drug screening
- Rapid compound testing
- Personalized therapeutic selection
- Reduced reliance on animal models

---

## 6. Recommendations for Dataset Integration

### 6.1 Priority Datasets for Integration
1. **Nature Medicine 2021 single-cell atlas** (19 CF vs 19 healthy donors) - foundational reference
2. **Scientific Reports 2026 pediatric study** - developmental insights
3. **HIT-CF organoid study** - personalized medicine validation

### 6.2 Model Systems for Experimental Validation
1. **Nasal epithelial organoids** - patient-accessible, non-invasive
2. **Airway-on-a-chip** - physiological fidelity
3. **Intestinal organoids with FIS** - clinical correlation validated

### 6.3 Complementary Resources
1. **CF-Seq web application** - for meta-analysis
2. **NuLi-1/CuFi cell lines** - for mechanism studies
3. **Large animal models** (ferret, pig) - for preclinical validation

---

## 7. Future Directions

### 7.1 Multi-Omics Integration
- Combine single-cell transcriptomics with proteomics and metabolomics
- Spatial transcriptomics in CF tissues
- Integration of genetic variant data with functional organoid responses

### 7.2 Advanced NAMs
- Vascularized organoid models
- Multi-organ-on-chip systems (lung-liver-intestine)
- Incorporation of immune cell components

### 7.3 AI/ML Applications
- Predictive modeling of drug responses from organoid data
- Single-cell data integration for patient stratification
- Image-based phenotyping of organoid responses

---

## Sources

### Single-Cell Datasets
- [CF-Seq Web Application - Scientific Data 2022](https://www.nature.com/articles/s41597-022-01431-1)
- [Single-Cell RNA Sequencing Insights - PMC 2023](https://pmc.ncbi.nlm.nih.gov/articles/PMC9986558/)
- [Single-Cell RNA Sequencing Review - AJRCMB 2023](https://www.atsjournals.org/doi/full/10.1165/rcmb.2022-0038TR)
- [CF Liver Disease scRNA-seq - Liver International 2024](https://onlinelibrary.wiley.com/doi/10.1111/liv.15963)
- [CF Airways Single-Cell Analysis - Nature Medicine 2021](https://www.nature.com/articles/s41591-021-01332-7)
- [Pediatric CF Lung Single-Cell Atlas - Scientific Reports 2026](https://www.nature.com/articles/s41598-026-36125-w)
- [Fetal Lung Development Atlas - Nature Communications 2024](https://www.nature.com/articles/s41467-024-50281-5)

### NAM Models
- [Theratyping with Nasal Organoids - ERJ 2021](https://publications.ersnet.org/content/erj/58/6/2100908)
- [2D-to-3D Nasal Model - Life Science Alliance 2022](https://www.life-science-alliance.org/content/5/12/e202101320)
- [HIT-CF Organoid Study - Translational Medicine Communications](https://transmedcomms.biomedcentral.com/articles/10.1186/s41231-020-00060-3)
- [Organoid Technology Review - PMC 2023](https://pmc.ncbi.nlm.nih.gov/articles/PMC9856584/)
- [Organoid-on-a-Chip - ScienceDirect 2025](https://www.sciencedirect.com/science/article/pii/S2590006425007185)
- [Endometrium Organoids - CMLS 2025](https://link.springer.com/article/10.1007/s00018-025-05627-7)
- [Intestinal Organoids Review - ERJ 2019](https://publications.ersnet.org/content/erj/54/1/1802379)
- [Intestinal Monolayers - Life Science Alliance 2023](https://www.life-science-alliance.org/content/6/6/e202201857)

### Physiological Models
- [Human Cellular Models Review - PMC 2018](https://pmc.ncbi.nlm.nih.gov/articles/PMC6276497/)
- [Airway Surface Liquid Role - AJP-Cell 2003](https://journals.physiology.org/doi/full/10.1152/ajpcell.00417.2002)
- [CF Pathogenesis Mechanisms - PMC 2008](https://pmc.ncbi.nlm.nih.gov/articles/PMC2430075/)
- [CF Cell Line Development - AJP-Lung 2003](https://journals.physiology.org/doi/full/10.1152/ajplung.00355.2002)
- [Airway Epithelium Dysfunction - PMC 2018](https://pmc.ncbi.nlm.nih.gov/articles/PMC5911336/)
- [CF Airway-on-a-Chip - JCF 2022](https://www.cysticfibrosisjournal.com/article/S1569-1993(21)02106-8/fulltext)
- [Animal Models of CF - Respiratory Research 2018](https://respiratory-research.biomedcentral.com/articles/10.1186/s12931-018-0750-y)

---

**Document Version**: 1.0
**Last Updated**: 2026-02-12
**Compiled by**: Dragon AI Agent (@dragon-ai-agent)
**Requested by**: @cmungall (GitHub Issue #302)
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