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Articular Cartilage Development
Published in Kyriacos A. Athanasiou, Eric M. Darling, Grayson D. DuRaine, Jerry C. Hu, A. Hari Reddi, Articular Cartilage, 2017
Kyriacos A. Athanasiou, Eric M. Darling, Grayson D. DuRaine, Jerry C. Hu, A. Hari Reddi
The human genome encodes for 20 BMPs. BMPs are dimeric proteins that are critically dependent on a single intermolecular disulfide bond for their activity in bone and cartilage morphogenesis. The BMP family consists of four distinct subfamilies: BMP2 and 4BMP3 and 3B; also known as growth/differentiation factor 10 (GDF10)BMP5-8GDF5-7; also known as cartilage-derived morphogenetic proteins (CDMPs) 1–3, respectively
Recent advances in modulators of circadian rhythms: an update and perspective
Published in Journal of Enzyme Inhibition and Medicinal Chemistry, 2020
Shenzhen Huang, Xinwei Jiao, Dingli Lu, Xiaoting Pei, Di Qi, Zhijie Li
The first antagonist of REV-ERBα is compound 21 (Table 2 and Figure 4). Compound 21 is derived from compound 14 based on the tertiary amine scaffold. In HepG2 cells, compound 21 could increase the expression of either glucose 6-phosphatase (G6Pase) or phosphoenolpyruvate carboxykinase (PEPCK) mRNA expression by blocking the action of the endogenous agonist72. Compound 21 also caused significant increases in the expression levels of growth/differentiation factor Growth and differentiation factor 10 (GDF10) and Growth and differentiation factor 15 (GDF15) in uterine endometrial stromal cells (UESCs). These results show that cellular oscillators may serve an important role of regulating the expression of downstream genes during the differentiation of UESCs89.
Comprehensive assessment of shockwave intensity: Transcriptomic biomarker discovery for primary blast-induced mild traumatic brain injury using the mammalian hair follicle
Published in Brain Injury, 2018
Jing Zhang, Rosalinda Knight, Yushan Wang, Thomas W Sawyer, Christopher J Martyniuk, Valerie S Langlois
The GS analyses allow us to focus on the key TBI responsive molecular and cellular events in the hair follicle. The GO term PAGE results revealed themes enriched in more than one exposure group in the hair follicles, with both shock wave-specific and shared GO under those themes. For example, RNA-related gene expression regulation was one such theme. Our results suggested related GO terms like mRNA splice site selection (BP), rRNA processing (BP), and regulation of RNA metabolic process (BP) were over-represented in multiple exposed groups. However, shock wave intensity-specific GO term enrichment patterns under the same theme were also revealed, with the least amount of terms that were also intensity-specific, while the 30 psi led to the most, which appeared to be consistent with the DE results. As a result, GO terms like regulation of transcription from RNA polymerase II promoter (BP, 15 psi) and RNA binding and structural constituent of ribosome (MF, 20 psi) were only enriched under one group. These suggested that, while being a common theme across multiple exposure conditions, a selection of gene sets under such theme may also be unique to one overpressure intensity. Cell cycle regulation is another example. Specifically, the GSEA showed that cell cycle-related pathways were enriched accordingly to the exposure conditions, such as centriole duplication and separation (15 psi), chromosome condensation (25 psi), and sister chromatid cohesion (30 psi). Additionally, qPCR confirms the regulation of the gene Gdf10 in the hair follicle upon 30 psi exposure, which is related to cell cycle (18). Given that cell proliferation was previously proposed as a general mTBI response in rat hair follicle on a transcriptomic level (6), the present GS results further demonstrated the exposure condition-specific aspect of the theme.
High-density and targeted glycoproteomic profiling of serum proteins in pancreatic cancer and intraductal papillary mucinous neoplasm
Published in Scandinavian Journal of Gastroenterology, 2018
Linus Aronsson, Roland Andersson, Monika Bauden, Bodil Andersson, Thomas Bygott, Daniel Ansari
The glycosylation profile of 1000 serum proteins was analyzed in the discovery phase. Signal intensities between pancreatic cancer samples and healthy controls were compared to determine glycosylation changes on the surface of each target protein. Pancreatic cancer associated glycoproteins Eotaxin-2/MPIF-2, IL-17E, CD163, DKK-1, BMP-3b/GDF-10, B7-1/CD80, IL12Rβ2, PDGF-AA, DR6/TNFRSF21 and IL-R4/ST2 demonstrated the highest levels of glycosylation and were selected as the top ten candidates for additional analysis.