Back

Human cartilage progenitor cells from ear, nose, rib, and joint have a robust, stable phenotype for cartilage repair

Ghavimi, S. A. A.; Gehret, P. M.; Giordano, T.; Smith, K. W. Y.; Gottardi, R.

2022-07-02 bioengineering
10.1101/2022.06.30.498323 bioRxiv
Show abstract

BackgroundCartilage progenitor cells (CPCs) are a small but highly proliferative cell population that resides within cartilage. Joint cartilage CPCs have a high chondrogenic potential and superior cartilage formation characteristics; however, CPCs from other cartilage sources more accessible for translation such as ear, nose, and rib are broadly unexplored. Our study illuminates the differences between CPCs from these four cartilages, their corresponding tissue chondrocyte (CC), and bone marrow-derived mesenchymal stem cell (MSC). MethodsCPCs subtypes were isolated from pediatric cartilage via fibronectin selection, immunophenotyped by flow cytometry and compared to MSCs. Trilineage differentiation capacity was assessed via histology and qRT-PCR. Next, triiodothyronine was used to hypertrophically challenge each CPC subset and their corresponding chondrocyte population. After 28 days cartilage pellets were assessed via histology, immunohistochemistry, and qRT-PCR. FindingsEach CPC subset possessed a specific immunophenotypic signature with CD56 as a potential common marker. All CPC subsets proliferated 2-fold faster than MSCs and 4-fold faster than CCs. Additionally, CPCs had a substantially reduced propensity for osteogenic differentiation and very limited adipogenic capacity by histology and gene expression. Finally, all CPC subsets resisted the hypertrophic challenge more than the corresponding chondrocyte population marked by less collagen X secretion and downregulation of hypertrophy associated genes. InterpretationCPCs represent a promising cell type for cartilage regeneration. The ease of accessibility of the ear and nose CPCs present opportunities for new translational approaches and reduced clinical timelines. FundingCHOP Research Institute, Frontier Program in Airway Disorders of CHOP, NIH (R21HL159521), NSF-GRFP (DGE-1845298)

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Stem Cell Research & Therapy
30 papers in training set
Top 0.1%
13.2%
2
Tissue Engineering Part A
15 papers in training set
Top 0.1%
12.2%
3
Journal of Orthopaedic Research
21 papers in training set
Top 0.1%
8.1%
4
Journal of Biomedical Materials Research Part A
20 papers in training set
Top 0.1%
6.9%
5
Cytotherapy
15 papers in training set
Top 0.1%
6.9%
6
PLOS ONE
5266 papers in training set
Top 27%
5.7%
50% of probability mass above
7
Scientific Reports
3612 papers in training set
Top 25%
4.1%
8
Osteoarthritis and Cartilage
32 papers in training set
Top 0.2%
2.8%
9
Molecular Therapy Nucleic Acids
39 papers in training set
Top 0.4%
2.0%
10
Cellular and Molecular Bioengineering
22 papers in training set
Top 0.2%
1.8%
11
The FASEB Journal
194 papers in training set
Top 2%
1.8%
12
Advanced Healthcare Materials
85 papers in training set
Top 1.0%
1.7%
13
Stem Cells
31 papers in training set
Top 0.4%
1.5%
14
International Journal of Molecular Sciences
494 papers in training set
Top 9%
1.5%
15
Biomaterials Science
24 papers in training set
Top 0.4%
1.4%
16
eLife
5828 papers in training set
Top 56%
1.2%
17
Annals of Biomedical Engineering
37 papers in training set
Top 0.7%
1.2%
18
American Journal of Physiology-Cell Physiology
39 papers in training set
Top 0.5%
1.2%
19
Journal of Biomechanics
64 papers in training set
Top 0.7%
1.1%
20
Communications Biology
993 papers in training set
Top 24%
1.1%
21
Cells
249 papers in training set
Top 6%
1.0%
22
Bioengineering & Translational Medicine
21 papers in training set
Top 0.5%
0.9%
23
Bioactive Materials
20 papers in training set
Top 0.5%
0.9%
24
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 5%
0.9%
25
Bioengineering
29 papers in training set
Top 1%
0.9%
26
Advanced Biology
29 papers in training set
Top 0.9%
0.6%
27
Bone
25 papers in training set
Top 0.3%
0.6%
28
Biomaterials Advances
22 papers in training set
Top 0.6%
0.6%