| Title |
Downregulated CXCL12 expression in mesenchymal stem cells associated with severe aplastic anemia in children
|
|---|---|
| Published in |
Annals of Hematology, August 2014
|
| DOI | 10.1007/s00277-014-2159-0 |
| Pubmed ID | |
| Authors |
Yu-Hua Chao, Kang-Hsi Wu, Shiow-Her Chiou, Shu-Fen Chiang, Chih-Yang Huang, Hsiu-Ching Yang, Chin-Kan Chan, Ching-Tien Peng, Han-Ping Wu, Kuan-Chih Chow, Maw-Sheng Lee |
| Abstract |
The mechanisms of idiopathic severe aplastic anemia (SAA) in children are not completely understood. Insufficiency of the bone marrow microenvironment, in which mesenchymal stem cells (MSCs) are an important element, can be a potential factor associated with hematopoietic impairment. In the current study, we studied whether aberrant gene expression could be found in MSCs from children with SAA. Using microarray analysis, two different patterns of global gene expression were detected in the SAA MSCs. Fourteen genes (POLE2, HGF, KIF20A, TK1, IL18R1, KITLG, FGF18, RRM2, TTK, CXCL12, DLG7, TOP2A, NUF2, and TYMS), which are related to DNA synthesis, cytokines, or growth factors, were significantly downregulated. Further, knockdown of gene expression was performed using the small hairpin RNA (shRNA)-containing lentivirus method. We found that knockdown of CXCL12, HGF, IL-18R1, FGF18, or RRM2 expression compelled MSCs from the controls to behave like those from the SAA children, with decreased survival and differentiation potential. Among them, inhibition of CXCL12 gene expression had the most profound effects on the behavior of MSCs. Further experiments regarding re-introduction of the CXCL12 gene could largely recover the survival and differentiation potential in MSCs with inhibition of CXCL12 expression. Our findings suggest that MSCs from children with SAA exhibit aberrant gene expression profiles and downregulation of CXCL12 gene may be associated with alterations in the bone marrow microenvironment. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 17% |
| Professor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Ph. D. Student | 2 | 8% |
| Other | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Immunology and Microbiology | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 March 2015.
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#18,403,994
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Outputs from Annals of Hematology
#1,441
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Outputs of similar age
#164,554
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Outputs of similar age from Annals of Hematology
#15
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