Collagen gene expression patterns by normal and keloid fibroblasts in the three-dimensional culture

1998 ◽  
Vol 16 ◽  
pp. S128
Author(s):  
Madoka Sato ◽  
Osamu Ishikawa ◽  
Yoshiki Miyachi
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Three Dimensional ◽  
Gene Expression Patterns ◽  
Collagen Gene ◽  
Collagen Gene Expression ◽  
Three Dimensional Culture ◽  
Keloid Fibroblasts

Differential expression of type I and type III collagen genes during tooth development

Development ◽  
1991 ◽  
Vol 111 (3) ◽  
pp. 691-698
Author(s):  
M.B. Andujar ◽  
P. Couble ◽  
M.L. Couble ◽  
H. Magloire
Keyword(s):  
Gene Expression ◽  
Type I Collagen ◽  
Tooth Development ◽  
Expression Patterns ◽  
Type Iii Collagen ◽  
Type I ◽  
Collagen Gene ◽  
Type Iii ◽  
Collagen Gene Expression ◽  
Collagen Genes

Collagen gene expression during mouse molar tooth development was studied by quantitative in situ hybridization techniques. Different expression patterns of type I and type III collagen mRNAs were observed in the various mesenchymal tissues that constitute the tooth germ. High concentration for pro-alpha 1(I) and pro-alpha 2(I) collagen mRNAs were found within the osteoblasts. We found that the cellular content of type I collagen mRNAs in the odontoblasts varies throughout the tooth formation: whereas mRNA concentration for pro-alpha 1(I) collagen decreases and that of pro-alpha 2(I) increases, during postnatal development. Moreover, different amounts of pro-alpha 1(I) and pro-alpha 2(I) collagen mRNAs were observed in crown and root odontoblasts, respectively. Type III collagen mRNAs were detected in most of the mesenchymal cells, codistributed with type I collagen mRNAs, except in odontoblasts and osteoblasts. Finally, this study reports differential accumulation of collagen mRNAs during mouse tooth development and points out that type I collagen gene expression is regulated by distinct mechanisms during odontoblast differentiation process. These results support the independent expression of the collagen genes under developmental tissue-specific control.

scholarly journals The Prospective Study of Epigenetic Regulatory Profiles in Sport and Exercise Monitored Through Chromosome Conformation Signatures

Genes ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 905
Author(s):  
Elliott C. R. Hall ◽  
Christopher Murgatroyd ◽  
Georgina K. Stebbings ◽  
Brian Cunniffe ◽  
Lee Harle ◽  
...  
Keyword(s):  
Gene Expression ◽  
Dimensional Space ◽  
Expression Patterns ◽  
Three Dimensional ◽  
Medical Intervention ◽  
Gene Expression Patterns ◽  
Chromosome Conformation ◽  
Exercise Adaptation ◽  
Technological Advances ◽  
Sport And Exercise

The integration of genetic and environmental factors that regulate the gene expression patterns associated with exercise adaptation is mediated by epigenetic mechanisms. The organisation of the human genome within three-dimensional space, known as chromosome conformation, has recently been shown as a dynamic epigenetic regulator of gene expression, facilitating the interaction of distal genomic regions due to tight and regulated packaging of chromosomes in the cell nucleus. Technological advances in the study of chromosome conformation mean a new class of biomarker—the chromosome conformation signature (CCS)—can identify chromosomal interactions across several genomic loci as a collective marker of an epigenomic state. Investigative use of CCSs in biological and medical research shows promise in identifying the likelihood that a disease state is present or absent, as well as an ability to prospectively stratify individuals according to their likely response to medical intervention. The association of CCSs with gene expression patterns suggests that there are likely to be CCSs that respond, or regulate the response, to exercise and related stimuli. The present review provides a contextual background to CCS research and a theoretical framework discussing the potential uses of this novel epigenomic biomarker within sport and exercise science and medicine.

ZebraFISH: Fluorescent In Situ Hybridization Protocol and Three-Dimensional Imaging of Gene Expression Patterns

Zebrafish ◽  
2006 ◽  
Vol 3 (4) ◽  
pp. 465-476 ◽  
Author(s):  
Monique C.M. Welten ◽  
Simon B. de Haan ◽  
Niels van den Boogert ◽  
Jasprien N. Noordermeer ◽  
Gerda E.M. Lamers ◽  
...  
Keyword(s):  
Gene Expression ◽  
In Situ Hybridization ◽  
Fluorescent In Situ Hybridization ◽  
Expression Patterns ◽  
Three Dimensional ◽  
Gene Expression Patterns ◽  
Three Dimensional Imaging ◽  
Hybridization Protocol

scholarly journals Orientation and repositioning of chromosomes correlate with cell geometry–dependent gene expression

2017 ◽  
Vol 28 (14) ◽  
pp. 1997-2009 ◽  
Author(s):  
Yejun Wang ◽  
Mallika Nagarajan ◽  
Caroline Uhler ◽  
G. V. Shivashankar
Keyword(s):  
Gene Expression ◽  
Expression Patterns ◽  
Three Dimensional ◽  
Gene Expression Patterns ◽  
Cell Behavior ◽  
Global Changes ◽  
Cell Geometry ◽  
Transcription Inhibition ◽  
Regulate Gene Expression

Extracellular matrix signals from the microenvironment regulate gene expression patterns and cell behavior. Using a combination of experiments and geometric models, we demonstrate correlations between cell geometry, three-dimensional (3D) organization of chromosome territories, and gene expression. Fluorescence in situ hybridization experiments showed that micropatterned fibroblasts cultured on anisotropic versus isotropic substrates resulted in repositioning of specific chromosomes, which contained genes that were differentially regulated by cell geometries. Experiments combined with ellipsoid packing models revealed that the mechanosensitivity of chromosomes was correlated with their orientation in the nucleus. Transcription inhibition experiments suggested that the intermingling degree was more sensitive to global changes in transcription than to chromosome radial positioning and its orientations. These results suggested that cell geometry modulated 3D chromosome arrangement, and their neighborhoods correlated with gene expression patterns in a predictable manner. This is central to understanding geometric control of genetic programs involved in cellular homeostasis and the associated diseases.

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