Gingival Epithelial Cell-Derived Microvesicles Activate Mineralization in Gingival Fibroblasts

Abstract Soft tissue calcification occurs in many parts of the body, including the gingival tissue. Epithelial cell-derived MVs can control many functions in fibroblasts but their role in regulating mineralization has not been explored. We hypothesized that microvesicles (MVs) derived from gingival epithelial cells could regulate calcification of gingival fibroblast cultures in osteogenic environment. Human gingival fibroblasts (HGFs) were cultured in osteogenic differentiation medium with or without human gingival epithelial cell-derived MV stimulation. Mineralization of the cultures, localization of the MVs and mineral deposits in the HGF cultures were assessed. Gene expression changes associated with MV exposure were analyzed using gene expression profiling and real-time qPCR. Within a week of exposure, epithelial MVs stimulated robust mineralization of HGF cultures that was further enhanced by four weeks. The MVs taken up by the HGF's did not calcify themselves but induced intracellular accumulation of minerals. HGF gene expression profiling after short exposure to MVs demonstrated relative dominance of inflammation-related genes that showed increases in gene expression. In later cultures, OSX, BSP and MMPs were significantly upregulated by the MVs. These results suggest for the first time that epithelial cells maybe associated with the ectopic mineralization process often observed in the soft tissues.

Download Full-text

278: Gene Expression Profiling of Prostatic Epithelial Cells in Two-Dimensional Versus Three-Dimensional Cultures

The Journal of Urology ◽

10.1016/s0022-5347(18)30543-3 ◽

2007 ◽

Vol 177 (4S) ◽

pp. 93-93

Author(s):

Toshiyuki Tsunoda ◽

Junichi Inocuchi ◽

Darren Tyson ◽

Seiji Naito ◽

David K. Ornstein

Keyword(s):

Gene Expression ◽

Epithelial Cells ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Three Dimensional ◽

Two Dimensional

Download Full-text

Assessing Various Control Samples for Microarray Gene Expression Profiling of Laryngeal Squamous Cell Carcinoma

Biomolecules ◽

10.3390/biom11040588 ◽

2021 ◽

Vol 11 (4) ◽

pp. 588

Author(s):

Adam Ustaszewski ◽

Magdalena Kostrzewska-Poczekaj ◽

Joanna Janiszewska ◽

Malgorzata Jarmuz-Szymczak ◽

Malgorzata Wierzbicka ◽

...

Keyword(s):

Gene Expression ◽

Squamous Cell Carcinoma ◽

Epithelial Cells ◽

Cell Carcinoma ◽

Gene Expression Profiling ◽

Cell Lines ◽

Squamous Cell ◽

Expression Profiling ◽

Laryngeal Squamous Cell Carcinoma ◽

Control Samples

Selection of optimal control samples is crucial in expression profiling tumor samples. To address this issue, we performed microarray expression profiling of control samples routinely used in head and neck squamous cell carcinoma studies: human bronchial and tracheal epithelial cells, squamous cells obtained by laser uvulopalatoplasty and tumor surgical margins. We compared the results using multidimensional scaling and hierarchical clustering versus tumor samples and laryngeal squamous cell carcinoma cell lines. A general observation from our study is that the analyzed cohorts separated according to two dominant factors: “malignancy”, which separated controls from malignant samples and “cell culture-microenvironment” which reflected the differences between cultured and non-cultured samples. In conclusion, we advocate the use of cultured epithelial cells as controls for gene expression profiling of cancer cell lines. In contrast, comparisons of gene expression profiles of cancer cell lines versus surgical margin controls should be treated with caution, whereas fresh frozen surgical margins seem to be appropriate for gene expression profiling of tumor samples.

Download Full-text

Gene expression profiling of human bronchial epithelial cells exposed to seasonal Milan particulate matter

Toxicology Letters ◽

10.1016/j.toxlet.2014.06.278 ◽

2014 ◽

Vol 229 ◽

pp. S71

Author(s):

Eleonora Longhin ◽

Laura Capasso ◽

Cristina Battaglia ◽

Cristina Cosentino ◽

Maria Carla Proverbio ◽

...

Keyword(s):

Gene Expression ◽

Particulate Matter ◽

Epithelial Cells ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Bronchial Epithelial Cells ◽

Human Bronchial Epithelial Cells ◽

Bronchial Epithelial

Download Full-text

Differential gene expression profiling of porcine epithelial cells infected with three enterotoxigenic Escherichia coli strains

BMC Genomics ◽

10.1186/1471-2164-13-330 ◽

2012 ◽

Vol 13 (1) ◽

pp. 330 ◽

Cited By ~ 33

Author(s):

Chuanli Zhou ◽

Zhengzhu Liu ◽

Jicai Jiang ◽

Ying Yu ◽

Qin Zhang

Keyword(s):

Gene Expression ◽

Escherichia Coli ◽

Epithelial Cells ◽

Gene Expression Profiling ◽

Differential Gene Expression ◽

Expression Profiling ◽

Enterotoxigenic Escherichia Coli ◽

Differential Gene

Download Full-text

Global Gene Expression Profiling Unveils S100A8/A9 as Candidate Markers in H-Ras-Mediated Human Breast Epithelial Cell Invasion

Molecular Cancer Research ◽

10.1158/1541-7786.mcr-08-0189 ◽

2008 ◽

Vol 6 (10) ◽

pp. 1544-1553 ◽

Cited By ~ 53

Author(s):

Aree Moon ◽

Hae-Young Yong ◽

Jae-In Song ◽

Daniela Cukovic ◽

Sridevi Salagrama ◽

...

Keyword(s):

Gene Expression ◽

Epithelial Cell ◽

Gene Expression Profiling ◽

Cell Invasion ◽

Expression Profiling ◽

Global Gene Expression ◽

Breast Epithelial Cell ◽

Human Breast ◽

Global Gene Expression Profiling ◽

Epithelial Cell Invasion

Download Full-text

Noninvasive method for obtaining RNA from buccal mucosa epithelial cells for gene expression profiling

BioTechniques ◽

10.2144/04363rn03 ◽

2004 ◽

Vol 36 (3) ◽

pp. 484-487 ◽

Cited By ~ 20

Author(s):

Avrum Spira ◽

Jennifer Beane ◽

Frank Schembri ◽

Gang Liu ◽

Chunming Ding ◽

...

Keyword(s):

Gene Expression ◽

Epithelial Cells ◽

Gene Expression Profiling ◽

Buccal Mucosa ◽

Expression Profiling ◽

Noninvasive Method

Download Full-text

Global Gene Expression Profiling of Body-Mass Index in Middle-Aged Danish Twins

10.31487/j.gg.2020.01.04 ◽

2020 ◽

pp. 1-8

Author(s):

Qihua Tan ◽

Weilong Li ◽

Jan Baumbach ◽

Afsaneh Mohammadnejad ◽

Jesper Lund ◽

...

Keyword(s):

Gene Expression ◽

Body Mass Index ◽

Gene Expression Profiling ◽

Body Mass ◽

Expression Profiling ◽

Monozygotic Twins ◽

Global Gene Expression ◽

The Body ◽

Obesity And Diabetes ◽

Global Gene Expression Profiling

Objective: The body mass index (BMI) measured as weight in relation to height is an important monitor for obesity and diabetes, with individual variation under control by genetic and environmental factors. In transcriptome-wide association studies on BMI, the genetic contribution calls for controlling of genetic confounding that affects both BMI and gene expression. We performed a global gene expression profiling of BMI on peripheral blood cells using monozygotic twins for efficient handling of genetic make-ups. Methods: We applied a generalized association method to genome-wide gene expression data on 229 pairs of monozygotic twins (age 56-80 years) for detecting diverse patterns of correlation between BMI and gene expression. Results: We detected seven probes associated with BMI with p<1e-04, among them two probes with p<1e05 (p=2.83e-06 AAK1; p=7.83e-06 LILRA3). In total, the analysis found 1579 probes with nominal p<0.05. Biological pathway analysis of enriched pathways found 50 KEGG and 45 Reactome pathways (FDR<0.05). The identified top functional pathways included immune function, JAK-STAT signalling, insulin signalling and regulation of energy metabolism. Conclusion: This transcriptome-wide association study using monozygotic twins and generalized correlation identified differentially expressed genes and a broad spectrum of enriched biological pathways that may implicate metabolic health.

Download Full-text