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Raman spectroscopy for grading of live osteosarcoma cells

Overview of attention for article published in Stem Cell Research & Therapy, April 2015
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Title
Raman spectroscopy for grading of live osteosarcoma cells
Published in
Stem Cell Research & Therapy, April 2015
DOI 10.1186/s13287-015-0074-5
Pubmed ID
Authors

Yi-Hung Chiang, Stewart H Wu, Yi-Chun Kuo, How-Foo Chen, Arthur Chiou, Oscar K Lee

Abstract

Osteosarcoma is the most common primary malignant bone tumor, and the grading of osteosarcoma cells relies on traditional histopathology and molecular biology methods, which require RNA extraction, protein isolation and immunohistological staining. All these methods require cell isolation, lysis or fixation, which is time-consuming and requires certain amount of tumor specimen. In this study, we report the use of Raman spectroscopy for grading of malignant osteosarcoma cells. We demonstrate that, based on the detection of differential production of mineral species, Raman spectroscopy can be used as a live cell analyzer to accurately assess the grades of osteosarcoma cells by evaluating their mineralization levels. Mineralization level was assessed by measuring amount of hydroxyapatite (HA), which is highly expressed in mature osteoblasts, but not in poorly differentiated osteosarcoma cell or mesenchymal stem cells, the putative cell-of-origin of osteosarcoma. We found that under Raman spectroscopy, the level of HA production was high in MG-63 cells, which are low-grade. Moreover, hydroxyapatite production was low in high-grade osteosarcoma cells such as 143B and SaOS2 cells (p < 0.05). Matrix metalloproteinase MMP2, MMP9 were highly expressed in SaOS2, 143B and MSCs and decreased in human fetal osteoblast (FOB) and MG-63 cells as expected (p < 0.05). These results may highlight the inverse correlation between HA level and prognosis of osteosarcoma. The use of Raman spectroscopy for the measurement of HA production by the protocol reported in this study may serve as a useful tool to rapidly and accurately assess the degree of malignancy in osteosarcoma cells in a label-free manner. Such application may shorten the period of pathological diagnosis and may benefit patients who are inflicted with osteosarcoma.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 37%
Researcher 8 17%
Student > Bachelor 4 9%
Student > Doctoral Student 3 7%
Student > Master 2 4%
Other 5 11%
Unknown 7 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 24%
Agricultural and Biological Sciences 7 15%
Engineering 6 13%
Chemistry 5 11%
Medicine and Dentistry 3 7%
Other 7 15%
Unknown 7 15%
Attention Score in Context

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 07 February 2016.
All research outputs
#17,760,372
of 22,844,985 outputs
Outputs from Stem Cell Research & Therapy
#1,586
of 2,420 outputs
Outputs of similar age
#180,464
of 265,063 outputs
Outputs of similar age from Stem Cell Research & Therapy
#52
of 74 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,420 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.