Transcriptome Analysis of Porphyrin-Accumulated and X-Ray-Irradiated Cell Cultures under Limited Proliferation and Non-Lethal Conditions.

Junko Takahashi, Masaki Misawa, Hitoshi Iwahashi
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引用次数: 12

Abstract

5-Aminolevulinic acid (ALA) is a precursor of the photosensitizer used in photodynamic therapy. It accumulates in tumor cells and subsequently metabolizes to protoporphyrin IX (PpIX), which generates singlet oxygen after light irradiation. PpIX enhances the generation of reactive oxygen species following physicochemical interactions with X-rays. ALA-based treatment using fractionated doses of irradiation suppressed tumor growth in a mouse melanoma model. To study the transcriptomic effects of PpIX, microarray analyses were conducted using HeLa cells with limited proliferation capacity. Based on the p-values (p < 0.01), we selected genes showing altered expression in each treatment group with reference to the non-treatment (NT) group. We detected 290, 196 and 28 upregulated genes, as well as 203, 146 and 36 downregulated genes after a 6 h-long PpIX treatment (1 μg/mL) prior to 3 Gy X-ray irradiation (PpIX-XT), 3 Gy X-ray irradiation alone (XT) and PpIX treatment alone (PpIXT), respectively. Functional analysis revealed that a majority of the regulated genes in the XT and PpIX-XT groups were related to cell-cycle arrest. The XT and PpIX-XT groups differed in the quantity, but not in the quality of their gene expression. The combined effect of PpIX and X-ray irradiation sensitized HeLa cells to X-ray treatment.

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有限增殖和非致死条件下卟啉积累和x射线照射细胞培养物的转录组分析。
5-氨基乙酰丙酸(ALA)是光动力疗法中使用的光敏剂的前体。它在肿瘤细胞中积累,随后代谢为原卟啉IX (PpIX),在光照射后产生单线态氧。PpIX增强了与x射线物理化学相互作用后活性氧的产生。在小鼠黑色素瘤模型中,使用分级剂量照射的基于ala的治疗抑制肿瘤生长。为了研究PpIX的转录组效应,我们使用增殖能力有限的HeLa细胞进行了微阵列分析。根据p值(p < 0.01),我们选择了在每个治疗组中与未治疗组(NT)相比表达改变的基因。在3gy x射线照射(PpIX-XT)、3gy x射线单独照射(XT)和PpIX单独照射(PpIXT)前,PpIX处理6 h (1 μg/mL),分别检测到290、196和28个基因上调,203、146和36个基因下调。功能分析显示,在XT和PpIX-XT组中,大多数受调控基因与细胞周期阻滞有关。XT组和PpIX-XT组基因表达量不同,但质量不同。PpIX和x射线照射的联合作用使HeLa细胞对x射线治疗敏感。
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来源期刊
自引率
0.00%
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0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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