| Title |
Glycosylation potential of human prostate cancer cell lines
|
|---|---|
| Published in |
Glycoconjugate Journal, July 2012
|
| DOI | 10.1007/s10719-012-9428-8 |
| Pubmed ID | |
| Authors |
Yin Gao, Vishwanath B. Chachadi, Pi-Wan Cheng, Inka Brockhausen |
| Abstract |
Altered glycosylation is a universal feature of cancer cells and altered glycans can help cancer cells escape immune surveillance, facilitate tumor invasion, and increase malignancy. The goal of this study was to identify specific glycoenzymes, which could distinguish prostate cancer cells from normal prostatic cells. We investigated enzymatic activities and gene expression levels of key glycosyl- and sulfotransferases responsible for the assembly of O- and N-glycans in several prostatic cells. These cells included immortalized RWPE-1 cells derived from normal prostatic tissues, and prostate cancer cells derived from metastasis in bone (PC-3), brain (DU145), lymph node (LNCaP), and vertebra (VCaP). We found that all cells were capable of synthesizing complex N-glycans and O-glycans with the core 1 structure, and each cell line had characteristic biosynthetic pathways to modify these structures. The in vitro measured activities corresponded well to the mRNA levels of glycosyltransferases and sulfotransferases. Lectin and antibody binding to whole cells supported these results, which form the basis for the development of tumor cell-specific targeting strategies. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 6 | 17% |
| Researcher | 5 | 14% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 7 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 28% |
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Chemistry | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 28% |
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 09 August 2012.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from Glycoconjugate Journal
#800
of 929 outputs
Outputs of similar age
#139,607
of 178,799 outputs
Outputs of similar age from Glycoconjugate Journal
#8
of 11 outputs
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