Time course analysis of large-scale gene expression in incised muscle using correspondence analysis

被引:3
作者
Horita, Tetsuya [1 ]
Gaballah, Mohammed Hassan [2 ]
Fukuta, Mamiko [1 ]
Kanno, Sanae [1 ]
Kato, Hideaki [1 ]
Takamiya, Masataka [3 ]
Aoki, Yasuhiro [1 ]
机构
[1] Nagoya City Univ, Dept Forens Med, Grad Sch Med Sci, Nagoya, Aichi, Japan
[2] Minist Justice, Egyptian Forens Med Author, Zainab, Cairo Governora, Egypt
[3] Iwate Med Univ, Dept Forens Med, Morioka, Iwate, Japan
来源
PLOS ONE | 2020年 / 15卷 / 03期
关键词
LEUKOCYTE PROTEASE INHIBITOR; PROINFLAMMATORY CYTOKINES IL-1-BETA; SKELETAL-MUSCLE; DIFFERENTIAL EXPRESSION; INFLAMMATORY CYTOKINES; TNF-ALPHA; MICROARRAY; MACROPHAGES; IDENTIFICATION; INDUCTION;
D O I
10.1371/journal.pone.0230737
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Studying the time course of gene expression in injured skeletal muscle would help to estimate the timing of injuries. In this study, we investigated large-scale gene expression in incision-injured mouse skeletal muscle by DNA microarray using correspondence analysis (CA). Biceps femoris muscle samples were collected 6, 12, and 24 hours after injury, and RNA was extracted and prepared for microarray analysis. On a 2-dimensional plot by CA, the genes (row score coordinate) located farther from each time series (column score coordinate) had more upregulation at particular times. Each gene was situated in 6 subdivided triangular areas according to the magnitude of the relationship of the fold change (FC) value at each time point compared to the control. In each area, genes for which the ratios of two particular FC values were close to 1 were distributed along the two border lines. There was a tendency for genes whose FC values were almost equal to be distributed near the intersection of these 6 areas. Therefore, the gene marker candidates for estimation of the timing of injuries were detectable according to the location on the CA plot. Moreover, gene sets created by a specific gene and its surrounding genes were composed of genes that showed similar or identical fluctuation patterns to the specific gene. In various analyses on these sets, significant gene ontology term and pathway activity may reflect changes in specific genes. In conclusion, analyses of gene sets based on CA plots is effective for investigation of the time-dependent fluctuation in gene expression after injury.
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页数:24
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