scholarly journals Dynamic Expression of Genes Involved in Proteoglycan/Glycosaminoglycan Metabolism during Skin Development

2018 ◽  
Vol 2018 ◽  
pp. 1-16
Author(s):  
P. J. E. Uijtdewilligen ◽  
E. M. Versteeg ◽  
E. M. A. van de Westerlo ◽  
J. van der Vlag ◽  
W. F. Daamen ◽  
...  
Keyword(s):  
Growth Factors ◽  
Differential Expression ◽  
Fine Tuning ◽  
Skin Development ◽  
Real Time Quantitative Pcr ◽  
Expression Of Genes ◽  
Core Proteins ◽  
Dynamic Expression ◽  
Glycosaminoglycan Metabolism ◽  
Precursor Molecules

Glycosaminoglycans are important for cell signaling and therefore for proper embryonic development and adult homeostasis. Expressions of genes involved in proteoglycan/glycosaminoglycan (GAG) metabolism and of genes coding for growth factors known to bind GAGs were analyzed during skin development by microarray analysis and real time quantitative PCR. GAG related genes were organized in six categories based on their role in GAG homeostasis, viz. (1) production of precursor molecules, (2) production of core proteins, (3) synthesis of the linkage region, (4) polymerization, (5) modification, and (6) degradation of the GAG chain. In all categories highly dynamic up- and downregulations were observed during skin development, including differential expression of GAG modifying isoenzymes, core proteins, and growth factors. In two mice models, one overexpressing heparanase and one lacking C5 epimerase, differential expression of only few genes was observed. Data show that during skin development a highly dynamic and complex expression of GAG-associated genes occurs. This likely reflects quantitative and qualitative changes in GAGs/proteoglycans, including structural fine tuning, which may be correlated with growth factor handling.

scholarly journals Evidence for increased thermogenesis in female C57BL/6J mice housed aboard the international space station

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Carmen P. Wong ◽  
Urszula T. Iwaniec ◽  
Russell T. Turner
Keyword(s):  
Adipose Tissue ◽  
Differential Expression ◽  
International Space Station ◽  
Space Station ◽  
Interscapular Brown Adipose Tissue ◽  
International Space ◽  
Expression Of Genes ◽  
Brown Adipose ◽  
Differential Expression Of Genes ◽  
Shivering Thermogenesis

AbstractSixteen-week-old female C57BL/6J mice were sacrificed aboard the International Space Station after 37 days of flight (RR-1 mission) and frozen carcasses returned to Earth. RNA was isolated from interscapular brown adipose tissue (BAT) and gonadal white adipose tissue (WAT). Spaceflight resulted in differential expression of genes in BAT consistent with increased non-shivering thermogenesis and differential expression of genes in WAT consistent with increased glucose uptake and metabolism, adipogenesis, and β-oxidation.

Screening candidate microR-15a- IRAK2 regulatory pairs for predicting the response to Staphylococcus aureus-induced mastitis in dairy cows

2019 ◽  
Vol 86 (4) ◽  
pp. 425-431 ◽  
Author(s):  
Zhi Chen ◽  
Jingpeng Zhou ◽  
Xiaolong Wang ◽  
Yang Zhang ◽  
Xubin Lu ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Differential Expression ◽  
High Throughput Sequencing ◽  
Target Genes ◽  
Interleukin 1 ◽  
Differentially Expressed ◽  
Luciferase Reporter ◽  
Expression Of Genes ◽  
Chinese Holstein Cows ◽  
Reporter Assays

AbstractWe established a mastitis model using exogenous infection of the mammary gland of Chinese Holstein cows with Staphylococcus aureus and extracted total RNA from S. aureus-infected and healthy mammary quarters. Differential expression of genes due to mastitis was evaluated using Affymetrix technology and results revealed a total of 1230 differentially expressed mRNAs. A subset of affected genes was verified via Q-PCR and pathway analysis. In addition, Solexa high-throughput sequencing technology was used to analyze profiles of miRNA in infected and healthy quarters. These analyses revealed a total of 52 differentially expressed miRNAs. A subset of those results was verified via Q-PCR. Bioinformatics techniques were used to predict and analyze the correlations among differentially expressed miRNA and mRNA. Results revealed a total of 329 pairs of negatively associated miRNA/mRNA, with 31 upregulated pairs of mRNA and 298 downregulated pairs of mRNA. Differential expression of miR-15a and interleukin-1 receptor-associated kinase-like 2 (IRAK2), were evaluated by western blot and luciferase reporter assays. We conclude that miR-15a and miR-15a target genes (IRAK2) constitute potential miRNA–mRNA regulatory pairs for use as biomarkers to predict a mastitis response.

Differential expression of growth factors and their receptors indicates their involvement in the inverted teat defect in pigs1

2009 ◽  
Vol 87 (11) ◽  
pp. 3451-3457 ◽  
Author(s):  
S. Tetzlaff ◽  
E. Murani ◽  
K. Schellander ◽  
S. Ponsuksili ◽  
K. Wimmers
Keyword(s):  
Growth Factors ◽  
Differential Expression

Differential expression of genes that encode glycolysis enzymes in kidney and lung cancer in humans

2013 ◽  
Vol 49 (7) ◽  
pp. 707-716 ◽  
Author(s):  
N. Yu. Oparina ◽  
A. V. Snezhkina ◽  
A. F. Sadritdinova ◽  
V. A. Veselovskii ◽  
A. A. Dmitriev ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Differential Expression ◽  
Expression Of Genes ◽  
Differential Expression Of Genes

Differential expression of transforming growth factors-β1, -β2, -β3 and the type I, II, III receptors in the lining epithelia of inflamed gingiva

Pathology ◽  
2003 ◽  
Vol 35 (5) ◽  
pp. 384-392 ◽  
Author(s):  
Ping Ye ◽  
Mary Simonian ◽  
Cheryl C. Chapple ◽  
John R. Gibbins ◽  
Rakesh K. Kumar ◽  
...  
Keyword(s):  
Growth Factors ◽  
Differential Expression ◽  
Type I ◽  
Transforming Growth Factors

Immature versus Mature Dura Mater: II. Differential Expression of Genes Important to Calvarial Reossification

2000 ◽  
Vol 106 (3) ◽  
pp. 639
Author(s):  
Joshua A. Greenwald ◽  
Babak J. Mehrara ◽  
Jason A. Spector ◽  
Peter J. Fagenholz ◽  
Pierre B. Saadeh ◽  
...  
Keyword(s):  
Differential Expression ◽  
Dura Mater ◽  
Expression Of Genes ◽  
Differential Expression Of Genes

scholarly journals Individual-level analysis of differential expression of genes and pathways for personalized medicine

2014 ◽  
Vol 31 (1) ◽  
pp. 62-68 ◽  
Author(s):  
Hongwei Wang ◽  
Qiang Sun ◽  
Wenyuan Zhao ◽  
Lishuang Qi ◽  
Yunyan Gu ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Differential Expression ◽  
Individual Level ◽  
Expression Of Genes ◽  
Differential Expression Of Genes ◽  
Level Analysis
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