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| Status |
Public on Jun 19, 2019 |
| Title |
Transcriptome Analysis and Functional Identification of Adipose-Derived Mesenchymal Stem Cells in Secondary Lymphedema |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
We isolated adipose-derived mesenchymal stem cells (ASCs) from the lymphedema adipose tissue from liposuction specimens of 10 patients with malignancy-related extremity lymphedema, and we used adipose tissue from the normal upper abdomen of the same patients as control tissue. We compared the proliferation and adipogenic differentiation capacity between the two kinds of ASCs, and we explored the transcriptomic differences between them. We found that lymphedema-associated ASCs had more rapid proliferation and a higher adipogenic differentiation capacity. CDK1 inhibitors could return the abnormal biological characteristics of these cells to normal phenotype, suggesting that CDK1 is a key driver of proliferation and adipogenic differentiation in these cells, which might expound the accumulation of adipose tissue extensively observed in secondary lymphedema, indicating the CDK1 may be a potential target for lymphedema therapy. On the other hand, our finding showed that ASCs from lymphedema adipose tissues have higher immunosuppressive effect, and the inhibition of up-regulated cytokine CHI3L1 may be clinically beneficial. In summary, explore the underlying mechanisms of fat deposition in lymphedema may provide powerful strategies for the treatment of lymphedema.
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| Overall design |
mRNA sequencing of ASCs from the affected thighs of 10 patients with lymphedema, and as control, ASCs from the normal upper abdomen of the same patients were also sequenced.
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| Contributor(s) |
Liu X, Zhou Z |
| Citation missing |
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| Submission date |
Jun 18, 2019 |
| Last update date |
Jul 22, 2020 |
| Contact name |
Zhou Zhou |
| E-mail(s) |
zhouzhoufuwai@126.com
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| Organization name |
Fuwai Hospital, the Chinese Academy of Medical Sciences
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| Street address |
Beilishi Street 167, Xi Cheng District
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| City |
Beijing |
| ZIP/Postal code |
100037 |
| Country |
China |
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| Platforms (1) |
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| Samples (20)
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| Relations |
| BioProject |
PRJNA549491 |
| SRA |
SRP201793 |
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