Literature DB >> 27190270

Original Research: Label-free detection for radiation-induced apoptosis in glioblastoma cells.

Dandan Qi1, Jingwen Feng1, Chengwen Yang2, Changrong Jin1, Yu Sa1, Yuanming Feng3.   

Abstract

Current flow cytometry (FCM) requires fluorescent dyes labeling cells which make the procedure costly and time consuming. This manuscript reports a feasibility study of detecting the cell apoptosis with a label-free method in glioblastoma cells. A human glioma cell line M059K was exposed to 8 Gy dose of radiation, which enables the cells to undergo radiation-induced apoptosis. The rates of apoptosis were studied at different time points post-irradiation with two different methods: FCM in combination with Annexin V-FITC/PI staining and a newly developed technique named polarization diffraction imaging flow cytometry. Totally 1000 diffraction images were acquired for each sample and the gray level co-occurrence matrix (GLCM) algorithm was used in morphological characterization of the apoptotic cells. Among the feature parameters extracted from each image pair, we found that the two GLCM parameters of angular second moment (ASM) and sum entropy (SumEnt) exhibit high sensitivities and consistencies as the apoptotic rates (Pa) measured with FCM method. In addition, no significant difference exists between Pa and ASM_S, Pa and SumEnt_S, respectively (P > 0.05). These results demonstrated that the new label-free method can detect cell apoptosis effectively. Cells can be directly used in the subsequent biochemical experiments as the structure and function of cells and biomolecules are well-preserved with this new method.
© 2016 by the Society for Experimental Biology and Medicine.

Entities:  

Keywords:  Glioblastoma cell; apoptosis; automatic feature extraction; cell morphology; flow cytometry; polarization diffraction imaging

Mesh:

Substances:

Year:  2016        PMID: 27190270      PMCID: PMC5027936          DOI: 10.1177/1535370216648024

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  22 in total

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Journal:  J Immunol Methods       Date:  2000-09-21       Impact factor: 2.303

Review 2.  DNA damage-induced cell death by apoptosis.

Authors:  Wynand P Roos; Bernd Kaina
Journal:  Trends Mol Med       Date:  2006-08-08       Impact factor: 11.951

3.  Analysis of cellular objects through diffraction images acquired by flow cytometry.

Authors:  Jun Zhang; Yuanming Feng; Marina S Moran; Jun Q Lu; Li V Yang; Yu Sa; Ning Zhang; Lixue Dong; Xin-Hua Hu
Journal:  Opt Express       Date:  2013-10-21       Impact factor: 3.894

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Authors:  M G Ormerod; F Paul; M Cheetham; X M Sun
Journal:  Cytometry       Date:  1995-11-01

5.  Molecular mechanisms of ionizing radiation-induced apoptosis.

Authors:  D Watters
Journal:  Immunol Cell Biol       Date:  1999-06       Impact factor: 5.126

Review 6.  Annexin V-affinity assay: a review on an apoptosis detection system based on phosphatidylserine exposure.

Authors:  M van Engeland; L J Nieland; F C Ramaekers; B Schutte; C P Reutelingsperger
Journal:  Cytometry       Date:  1998-01-01

7.  Low and high LET radiation-induced apoptosis in M059J and M059K cells.

Authors:  A Holgersson; A R-M Jernberg; L M Persson; M R Edgren; R Lewensohn; A Nilsson; A Brahme; A E Meijer
Journal:  Int J Radiat Biol       Date:  2003-08       Impact factor: 2.694

8.  Development of a diffraction imaging flow cytometer.

Authors:  Kenneth M Jacobs; Jun Q Lu; Xin-Hua Hu
Journal:  Opt Lett       Date:  2009-10-01       Impact factor: 3.776

9.  Annexin V for flow cytometric detection of phosphatidylserine expression on B cells undergoing apoptosis.

Authors:  G Koopman; C P Reutelingsperger; G A Kuijten; R M Keehnen; S T Pals; M H van Oers
Journal:  Blood       Date:  1994-09-01       Impact factor: 22.113

10.  Activation of protease-activated receptor 2 reduces glioblastoma cell apoptosis.

Authors:  Ran Luo; Xiongwei Wang; Yuanxun Dong; Lei Wang; Chunlei Tian
Journal:  J Biomed Sci       Date:  2014-03-26       Impact factor: 8.410

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