Welcome to Fibroblast Atlas !

The application of single-cell RNA-seq (scRNA-seq) technology has revealed that fibroblasts are highly heterogeneous in terms of their phenotype, origin and function. Understanding the heterogeneity of fibroblasts depends on defining the complexity of cell subtypes, their origin, distribution, and interactions with cells in the tumor microenvironment. Multiple single-cell studies on the same or different tissues identified similar fibroblast subtypes but assigned them different names. However, it is unclear whether this phenomenon can be extended to other cancer types, and these shared and specific features of cancer-associated fibroblast subtypes remain unknown. Here, we curated a total of 73 single-cell studies across 10 tissues and developed a high-resolution classification of fibroblasts, named Fibroblast Atlas. The current version of Fibroblast Atlas documents 18 fibroblast subtypes composed of 249,156 fibroblasts. Moreover, Fibroblast Atlas also provides the distribution, comparisons, cell interactions, and prognosis of fibroblast subtypes in human cancer. Users can explore and browse for fibroblast subtypes and corresponding information of interest.





Please cite

Fibroblast atlas: shared and tissue-specific cell types across tissues.

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Fibroblast subtypes & Functional enrichment


Fibroblast clustering



Marker genes


Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Distribution of fibroblast subtypes

Venn diagram

Venn diagram

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Consistency of fibroblast atlas and previous fibroblast subtypes




Comparison of fibroblast subtypes

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Cell interaction

The receptor-ligand interactions

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Overall interaction strength

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Survival analysis


Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Age distribution of fibroblast subtypes

Cell senescence of fibroblast subtypes


Associations between age and cell senescence


Correlation analysis between age and cell senescence

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

I. Details of single-cell datasets

II. Details of single-cell samples

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.

Contact


If you have any questions or find any problems, please feel free to contact us.

Each question you ask, each suggestion you make, contributes to our progress.










Copyright © 2023. College of Bioinformatics Science and Technology,Harbin Medical University, China.