| Title |
TGF-β1 exposure induces epithelial to mesenchymal transition both in CSCs and non-CSCs of the A549 cell line, leading to an increase of migration ability in the CD133+ A549 cell fraction
|
|---|---|
| Published in |
Cell Death & Disease, May 2013
|
| DOI | 10.1038/cddis.2013.144 |
| Pubmed ID | |
| Authors |
V Tirino, R Camerlingo, K Bifulco, E Irollo, R Montella, F Paino, G Sessa, M V Carriero, N Normanno, G Rocco, G Pirozzi |
| Abstract |
Metastasis is the leading cause of death by cancer. Non-small-cell lung cancer (NSCLC) represents nearly 85% of primary malignant lung tumours. Recent researches have demonstrated that epithelial-to-mesenchymal transition (EMT) plays a key role in the early process of metastasis of cancer cells. Transforming growth factor-β1 (TGF-β1) is the major inductor of EMT. The aim of this study is to investigate TGF-β1's effect on cancer stem cells (CSCs) identified as cells positive for CD133, side population (SP) and non-cancer stem cells (non-CSCs) identified as cells negative for CD133, and SP in the A549 cell line. We demonstrate that TGF-β1 induces EMT in both CSC and non-CSC A549 sublines, upregulating the expression of mesenchymal markers such as vimentin and Slug, and downregulating levels of epithelial markers such as e-cadherin and cytokeratins. CSC and non-CSC A549 sublines undergoing EMT show a strong migration and strong levels of MMP9 except for the CD133(-) cell fraction. OCT4 levels are strongly upregulated in all cell fractions except CD133(-) cells. On the contrary, wound size reveals that TGF-β1 enhances motility in wild-type A549 as well as CD133(+) and SP(+) cells. For CD133(-) and SP(-) cells, TGF-β1 exposure does not change the motility. Finally, assessment of growth kinetics reveals major colony-forming efficiency in CD133(+) A549 cells. In particular, SP(+) and SP(-) A549 cells show more efficiency to form colonies than untreated corresponding cells, while for CD133(-) cells no change in colony number was observable after TGF-β1 exposure. We conclude that it is possible to highlight different cell subpopulations with different grades of stemness. Each population seems to be involved in different biological mechanisms such as stemness maintenance, tumorigenicity, invasion and migration. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 2% |
| United States | 1 | <1% |
| France | 1 | <1% |
| Thailand | 1 | <1% |
| Unknown | 99 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 21% |
| Researcher | 19 | 18% |
| Student > Master | 14 | 13% |
| Student > Bachelor | 13 | 13% |
| Professor > Associate Professor | 6 | 6% |
| Other | 10 | 10% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 33% |
| Biochemistry, Genetics and Molecular Biology | 24 | 23% |
| Medicine and Dentistry | 13 | 13% |
| Chemistry | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 19 | 18% |
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 04 May 2013.
All research outputs
#17,687,671
of 22,709,015 outputs
Outputs from Cell Death & Disease
#4,157
of 6,401 outputs
Outputs of similar age
#138,281
of 192,695 outputs
Outputs of similar age from Cell Death & Disease
#41
of 56 outputs
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