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. 2007 May;9(3):241-51.
doi: 10.1016/j.ymben.2006.12.001. Epub 2006 Dec 13.

Application of microarrays to identify and characterize genes involved in attachment dependence in HeLa cells

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Application of microarrays to identify and characterize genes involved in attachment dependence in HeLa cells

Pratik Jaluria et al. Metab Eng. 2007 May.

Abstract

The ability to modify cellular properties such as adhesion is of interest in the design and performance of biotechnology-related processes. The current study was undertaken in order to evaluate the effectiveness of modulating cellular adhesion in HeLa cells from a genomics perspective. Using DNA microarrays, differences in gene expression between two phenotypically distinct, anchorage-dependent and anchorage-independent, HeLa cell lines were identified. With the aid of several statistical methods and an extensive literature search, two genes were selected as potential targets for further study: siat7e and lama4. Subsequently, experiments were carried out to investigate the effects of siat7e and lama4 separately, on adhesion in HeLa cells by altering their expression in vivo. Decreasing the expression of siat7e, a type II membrane glycosylating sialyltransferase, in anchorage-independent HeLa cells using short interfering RNA (siRNA) resulted in greater aggregation (i.e. clumping) and morphological changes as compared to untreated anchorage-independent HeLa cells. Similar effects were seen in anchorage-independent HeLa cells when the expression of lama4 which encodes laminin alpha4, a member of the laminin family of glycoproteins, was enhanced as compared to untreated anchorage-independent HeLa cells. Using a shear flow chamber, an attachment assay was developed; illustrating either increased expression of siat7e or decreased expression of lama4 in anchorage-dependent HeLa cells reduced cellular adhesion. Collectively, the results of this study are consistent with the roles siat7e and lama4 play in adhesion processes in vivo and indicate modifying the expression of either gene can influence adhesion in HeLa cells. The strategy of applying bioinformatics techniques to characterize and manipulate phenotypic behaviors is a powerful tool for altering the properties of various cell lines for desired biotechnology objectives.

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Figures

Figure 1
Figure 1
Median expression ratios for two specific genes from four different microarray slides. The error bars indicate the range of values observed based on several different spots for each gene.
Figure 2
Figure 2
Pictures of different cell lines at a magnification of 10X A - anchorage-dependent HeLa B - anchorage-dependent with enhanced expression of siat7e C - anchorage-dependent with reduced expression of lama4 D - anchorage-independent HeLa E - anchorage-independent with reduced expression of siat7e F - anchorage-independent with enhanced expression of lama4
Figure 3
Figure 3
Distribution of clusters 5 - 100 μm in anchorage-independent HeLa cells with and without siRNA specific for siat7e.
Figure 4
Figure 4
Distribution of clusters 5-60 μm in anchorage-independent HeLa cells with and without the lama4 gene insert.
Figure 5
Figure 5
Cell dissociation as a function of shear stress. 5A. anchorage-dependent HeLa cells: unmodified cells, cells with enhanced expression of siat7e (sialyltranferase +), and cells with reduced expression of lama4 (laminin−) 5B. anchorage-independent HeLa cells: unmodified cells, cells with enhanced expression of lama4 (laminin +), and cells with reduced expression of siat7e (sialyltranferase −)

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