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Quantitative proteomic analysis of single or fractionated radiation-induced proteins in human breast cancer MDA-MB-231 cells

Overview of attention for article published in Cell & Bioscience, February 2015
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Title
Quantitative proteomic analysis of single or fractionated radiation-induced proteins in human breast cancer MDA-MB-231 cells
Published in
Cell & Bioscience, February 2015
DOI 10.1186/2045-3701-5-2
Pubmed ID
Authors

Mi-Hyoung Kim, Seung-Youn Jung, Jiyeon Ahn, Sang-Gu Hwang, Hee-Jong Woo, Sungkwan An, Seon Young Nam, Dae-Seog Lim, Jie-Young Song

Abstract

Radiotherapy is widely used to treat cancer alone or in combination with surgery, chemotherapy, and immunotherapy. However, damage to normal tissues and radioresistance of tumor cells are major obstacles to successful radiotherapy. Furthermore, the immune network around tumors appears to be connected to tumor progression and recurrence. We investigated the cytosolic proteins produced by irradiated tumor cells by using a quantitative proteomic approach based on stable isotope labeling by amino acids in cell culture. MDA-MB-231 breast cancer cells were treated with a single or fractionated 10 Gray dose of (137)Cs γ-radiation, which was selected based on cell viability. Radiation-induced proteins were differentially expressed based on the fractionated times of radiation and were involved in multiple biological functions, including energy metabolism and cytoskeleton organization. We identified 46 proteins increased by at least 1.3-fold, and high ranks were determined for cathepsin D, gelsolin, arginino-succinate synthase 1, peroxiredoxin 5, and C-type mannose receptor 2. These results suggest that a number of tumor-derived factors upregulated by γ-radiation are promising targets for modulation of the immune response during radiation treatment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Poland 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 6 18%
Student > Bachelor 4 12%
Student > Master 4 12%
Student > Postgraduate 2 6%
Other 4 12%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 24%
Biochemistry, Genetics and Molecular Biology 6 18%
Medicine and Dentistry 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Nursing and Health Professions 2 6%
Other 5 15%
Unknown 7 21%