| Title |
Cell surface nucleolin interacts with CXCR4 receptor via the 212 c-terminal portion
|
|---|---|
| Published in |
Tumor Biology, October 2014
|
| DOI | 10.1007/s13277-014-2734-y |
| Pubmed ID | |
| Authors |
Hongxin Niu, Xiangshan Yang, Zhongfa Xu, Tong Du, Ruogu Wang |
| Abstract |
Previously, we reported that CXCR4 receptor interacted with cell surface nucleolin, and the synergy of CXCR4 and nucleolin plays an essential role in malignant transformation. Here, we continued to conduct a structure-function analysis of nucleolin to identify which portion can efficaciously bind to CXCR4. In the present study, the expression of CXCR4 and nucleolin in 100 cases of papillary thyroid cancer (PTC) samples was investigated through immunohistochemistry (IHC). Subsequently, using nucleolin mutants and pull-down assay, we investigated precise interactions between CXCR4 and nucleolin in HEK-293 cells. A previous study demonstrated CXCR4 and nucleolin co-expressed in cell lines, and the present study further identified that CXCR4 and nucleolin co-expressed in PTC tissues, instead of normal tissues. The nucleolin mutant analysis revealed that nucleolin can efficaciously bind CXCR4 to activate CXCR4 signaling by 212 C-terminal domain. Conversely, N-terminal, RBD and GAR mutants of nucleolin showed no sign of activation of CXCR4 signaling, and differences were statistically insignificant (p > 0.05). In conclusion, these results suggested nucleolin is essential to activate CXCR4 signaling via 212 C-terminal domain, which is required for cell growth, migration, and invasiveness. Furthermore, nucleolin may interact with more G protein-coupled receptors, at least chemokine receptor. Our study will lay a new foundation for cancer therapy by antagonizing nucleolin and CXCR4. |
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 % |
|---|---|---|
| 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Student > Master | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Researcher | 2 | 13% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 27% |
| Medicine and Dentistry | 3 | 20% |
| Agricultural and Biological Sciences | 2 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
| Unknown | 5 | 33% |
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 13 June 2015.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#215,981
of 258,865 outputs
Outputs of similar age from Tumor Biology
#79
of 141 outputs
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