sCAFfold

About sCAFfold

A centralized, community-driven resource for Cancer-Associated Fibroblast research — a decade of global CAF knowledge in one platform.

What is sCAFfold?

sCAFfold is a centralized, community‑driven resource designed to accelerate and strengthen CAF research. Built from 1,374 publications and 2,690 manually curated experiments spanning 2016–2025, it brings together a decade of global CAF knowledge into a single, accessible platform.

At its core, sCAFfold offers an interactive knowledgebase paired with multi‑omics datasets, enabling researchers to explore how experimental parameters influence CAF states, functions, and phenotypic outcomes. By linking experimental design to biological interpretation, the platform helps users navigate the complexity of CAF biology with clarity and precision.

sCAFfold is the product of an international collaboration among research groups. This collective effort reflects a shared commitment to improving transparency, reproducibility, and methodological consistency in the field. By unifying dispersed data and providing intuitive tools for exploration, sCAFfold aims to empower researchers, support new discoveries, and create a more connected and rigorous CAF research community.

By the Numbers

1,374 Publications
2,690 Curated Experiments
2016–2025 Coverage Period
3 Analysis Tools

What Can You Do?

Knowledgebase Search

Knowledgebase Search

Query the full database of CAF experiments using flexible filters. Search by species, tissue, disease condition, culture model, and more.

Open Query Tool
Data Visualization

Data Visualization

Explore CAF experimental parameters interactively. Build charts and network diagrams by selecting a starting variable and layering filters.

Open Visualizer
Omics Integration

Omics Integration Coming Soon

Multi‑omics datasets — RNA-Seq, proteomics, single-cell — cross-referenced with curated CAF experimental metadata, linking molecular profiles to experimental design.

Open visualization
Under Construction

The Team

FD

Felix De Vuyst

Lead Developer & Curator

SD

Sándor Dedeyne

Developer

OD

Olivier De Wever

Principal Investigator

Reference

sCAFfold icon

Felix De Vuyst, sCAFfold Consortium, Olivier De Wever (2026). sCAFfold: A systematic framework for open learning and discovery of cancer-associated fibroblast experimental practices.
(in preparation)