 |
 |
GEO help: Mouse over screen elements for information. |
|
| Status |
Public on Jul 07, 2021 |
| Title |
Single-cell transcriptomic profiling reveals distinct mechanical responses between normal and diseased tendon progenitor cells |
| Organisms |
Homo sapiens; synthetic construct |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Regenerative medicine approaches utilizing stem cells offer a promising strategy to address tendinopathy, a class of common tendon disorders associated with pain and impaired function. Tendon progenitor cells (TPCs) are important in healing and maintaining tendon tissues. Here we provide a comprehensive single cell transcriptomic profiling of TPCs from three normal and three clinically classified tendinopathy samples in response to mechanical stimuli. Analysis reveals seven distinct TPC subpopulations including subsets that are responsive to the mechanical stress, highly clonogenic, and specialized in cytokine or growth factor expression. The single cell transcriptomic profiling of TPCs and their subsets serves as a foundation for further investigation into the pathology and molecular hallmarks of tendinopathy in mechanical stimulation conditions.
|
| |
|
| Overall design |
scRNAseq of human TPCs from normal and diseased patellar tendon.
|
| |
|
| Contributor(s) |
Still II C, Chang W, Sherman SL, Sochacki KR, Dragoo JL, Qi LS |
| Citation(s) |
34337559 |
| |
| Submission date |
May 13, 2020 |
| Last update date |
Aug 11, 2021 |
| Contact name |
Christopher Still |
| E-mail(s) |
cstill@stanford.edu
|
| Organization name |
Stanford
|
| Lab |
Qi
|
| Street address |
443 Via Ortega, Room 376
|
| City |
Stanford |
| State/province |
California |
| ZIP/Postal code |
94305 |
| Country |
USA |
| |
|
| Platforms (3) |
| GPL17769 |
Illumina MiSeq (synthetic construct) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
| GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
|
| Samples (6)
|
|
| Relations |
| BioProject |
PRJNA632551 |
| SRA |
SRP261439 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE150482_RAW.tar |
234.8 Mb |
(http)(custom) |
TAR (of CSV, MTX, TSV, TXT) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
|
|
|
|
 |
Less...
More...