Results: 5

1.
Figure 4

Figure 4. Correlations of over-expression of miRNA with migration and invasive phenotypes.. From: Patterns of microRNA Expression in Non-Human Primate Cells Correlate with Neoplastic Development In Vitro.

(A) Wound-healing assay of stably expressing miR-376a, miR376abc (a polycistronic cluster of miR-376a, miR-376b and miR-376c), miR-299-5p or miR-negative and 10-87 LP cells; (B) Matrigel-invasion assay with stably expressing miR-376a, miR-376abc, miR-299-5p or miR-negative 10-87 HP cells. 10-87 LP cells were used as the control in the computation of the invasion index.

Belete Teferedegne, et al. PLoS One. 2010;5(12):e14416.
2.
Figure 1

Figure 1. Wound-healing assay using African green monkey kidney cell lines.. From: Patterns of microRNA Expression in Non-Human Primate Cells Correlate with Neoplastic Development In Vitro.

(A) 10-87 LP, 10-87 HP and 10-87 T. (B) BSC-1, CV-1, SF-VERO, and A4497 (p165). Microscopic observations were recorded at 0, 6, 9, and 12 h after scratching the cell surface; the 0 and 12 hour images are shown.

Belete Teferedegne, et al. PLoS One. 2010;5(12):e14416.
3.
Figure 2

Figure 2. Matrigel-invasion assay with African green monkey kidney lines.. From: Patterns of microRNA Expression in Non-Human Primate Cells Correlate with Neoplastic Development In Vitro.

(A)10-87 HP and 10-87 T; (B) BSC-1, CV-1, SF-VERO, and A4497. The cells were placed in a Matrigel-invasion chamber, and cells that invaded the Matrigel were fixed, stained, and counted. Test and control (10-87 LP) cells that invaded the Matrigel were counted in 5 fields under a 20× objective. The data were expressed as fold percent invasion of 10-87 LP cells. The mean data are plotted with their standard deviations.

Belete Teferedegne, et al. PLoS One. 2010;5(12):e14416.
4.
Figure 3

Figure 3. Hierarchical clustering of miRNA expression.. From: Patterns of microRNA Expression in Non-Human Primate Cells Correlate with Neoplastic Development In Vitro.

miRNAs included in the heat-map had a fold change >±2 and were significantly expressed (p<0.01). Each row shows the relative expression level for a single miRNA and each column represents miRNA profiles of the average triplicate array data: (1) pAGMK cells; (2) 10-87 LP cells; (3) 10-87 HP cells; (4) 10-87 T cells. The red or green color indicates relative high or low expression, respectively. Expression clusters representing different patterns of up-regulation to down-regulation are depicted by Roman numerals on the right hand side of the Figure.

Belete Teferedegne, et al. PLoS One. 2010;5(12):e14416.
5.
Figure 5

Figure 5. Correlation between expression of miRNAs and the neoplastic phenotype.. From: Patterns of microRNA Expression in Non-Human Primate Cells Correlate with Neoplastic Development In Vitro.

The qRT-PCR values of over-expressed miRNAs (Table 3) were used to locate on the X-axis the position of seven lines of immortalized AGMK cells relative to pAGMK cells. Based on the relative magnitude of the expression levels of these miRNAs compared with their expression levels in pAGMK cells, the non-tumorigenic CV-1 cells were the closest and the tumorigenic SF-VERO cells were the most distantly removed from pAGMK cells (the reference point for the non-tumorigenic phenotype). When the in vitro and in vivo characteristics of all cells were superimposed, the trend in miRNA expression in the different AGMK lineages between CV-1 and SF-VERO cells on the X-axis appears to correlate with both the passage level in tissue culture and the evolution of the neoplastic process. The phenotypes were deduced from Table 1 and the data from the invasion assays.

Belete Teferedegne, et al. PLoS One. 2010;5(12):e14416.

Supplemental Content

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Write to the Help Desk