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Series GSE150482 Query DataSets for GSE150482
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)
GSM4551237 Resting Normal TPCs
GSM4551238 Resting Disease TPCs
GSM4551239 Stretched Normal TPCs
Relations
BioProject PRJNA632551
SRA SRP261439

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE150482_RAW.tar 234.8 Mb (http)(custom) TAR (of CSV, MTX, TSV, TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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