Effect of nanoparticle network formation on electromagnetic properties and cell morphology of microcellular polymer nanocomposite foams

2020 ◽  
Vol 86 ◽  
pp. 106469 ◽  
Author(s):  
Mehrnoosh Taghavimehr ◽  
Mohammad Hossein Navid Famili ◽  
Mehran Abbasi Shirsavar
Keyword(s):  
Cell Morphology ◽  
Network Formation ◽  
Polymer Nanocomposite ◽  
Electromagnetic Properties ◽  
Nanocomposite Foams

Controlling bubble density in MWNT/polymer nanocomposite foams by MWNT surface modification

2012 ◽  
Vol 72 (2) ◽  
pp. 190-196 ◽  
Author(s):  
Limeng Chen ◽  
Behic K. Goren ◽  
Rahmi Ozisik ◽  
Linda S. Schadler
Keyword(s):  
Surface Modification ◽  
Polymer Nanocomposite ◽  
Nanocomposite Foams ◽  
Bubble Density

scholarly journals Evolution of cellular morphologies and crystalline structures in high-expansion isotactic polypropylene/cellulose nanofiber nanocomposite foams

RSC Advances ◽  
2018 ◽  
Vol 8 (28) ◽  
pp. 15405-15416 ◽  
Author(s):  
Long Wang ◽  
Yuta Hikima ◽  
Masahiro Ohshima ◽  
Takafumi Sekiguchi ◽  
Hiroyuki Yano
Keyword(s):  
Isotactic Polypropylene ◽  
Cell Morphology ◽  
Cellulose Nanofiber ◽  
Crystalline Structures ◽  
Nanocomposite Foams ◽  
Injection Molded ◽  
Crystalline Microstructure

The development of cell morphology and crystalline microstructure of high expansion injection-molded isotactic polypropylene/cellulose nanofiber (PP/CNF) nanocomposite foams was understood.

A Comprehensive Review on Carbon-Based Polymer Nanocomposite Foams as Electromagnetic Interference Shields and Piezoresistive Sensors

2020 ◽  
Vol 2 (8) ◽  
pp. 2318-2350 ◽  
Author(s):  
Mahyar Panahi-Sarmad ◽  
Mina Noroozi ◽  
Mahbod Abrisham ◽  
Siroos Eghbalinia ◽  
Fatemeh Teimoury ◽  
...  
Keyword(s):  
Electromagnetic Interference ◽  
Polymer Nanocomposite ◽  
Comprehensive Review ◽  
Piezoresistive Sensors ◽  
Nanocomposite Foams ◽  
Carbon Based

scholarly journals EPAC2 acts as a negative regulator in Matrigel-driven tubulogenesis of human microvascular endothelial cells

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Takayuki Ikeda ◽  
Yoshino Yoshitake ◽  
Yasuo Yoshitomi ◽  
Hidehito Saito-Takatsuji ◽  
Yasuhito Ishigaki ◽  
...  
Keyword(s):  
Endothelial Cells ◽  
Endothelial Cell ◽  
Cell Morphology ◽  
Molecular Mechanisms ◽  
Network Formation ◽  
Tissue Growth ◽  
Negative Regulator ◽  
Endothelial Cell Migration ◽  
Microvascular Endothelial Cells ◽  
Microvascular Endothelial

AbstractAngiogenesis is physiologically essential for embryogenesis and development and reinitiated in adult animals during tissue growth and repair. Forming new vessels from the walls of existing vessels occurs as a multistep process coordinated by sprouting, branching, and a new lumenized network formation. However, little is known regarding the molecular mechanisms that form new tubular structures, especially molecules regulating the proper network density of newly formed capillaries. This study conducted microarray analyses in human primary microvascular endothelial cells (HMVECs) plated on Matrigel. The RAPGEF4 gene that encodes exchange proteins directly activated by cAMP 2 (EPAC2) proteins was increased in Matrigel-driven tubulogenesis. Tube formation was suppressed by the overexpression of EPAC2 and enhanced by EPAC2 knockdown in endothelial cells. Endothelial cell morphology was changed to round cell morphology by EPAC2 overexpression, while EPAC2 knockdown showed an elongated cell shape with filopodia-like protrusions. Furthermore, increased EPAC2 inhibited endothelial cell migration, and ablation of EPAC2 inversely enhanced cell mobility. These results suggest that EPAC2 affects the morphology and migration of microvascular endothelial cells and is involved in the termination and proper network formation of vascular tubes.

Polymer Nanocomposite Foams Prepared by Supercritical Fluid Foaming Technology

2002 ◽  
Vol 733 ◽  
Author(s):  
L. James Lee ◽  
Changchun Zeng ◽  
Xiangmin Han ◽  
David L. Tomasko ◽  
Kurt W. Koelling
Keyword(s):  
Cell Size ◽  
Cell Density ◽  
Polymer Nanocomposite ◽  
Extrusion Process ◽  
Clay Nanocomposites ◽  
Good Surface ◽  
Nanocomposite Foams ◽  
Continuous Extrusion ◽  
Foaming Technology ◽  
Reduce Cell Size

AbstractPolystyrene (PS) clay nanocomposites were synthesized and used to prepare foams in both batch and continuous extrusion process. It was found that the addition of a small amount of clay could greatly reduce cell size and increase cell density. Once exfoliated, the nanocomposite foam exhibits the highest cell density and the smallest cell size at the same particle concentration. Exfoliated microcellular nanocomposite foams with good surface quality was successfully produced using supercritical carbon dioxide.

scholarly journals Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0251272
Author(s):  
Yasuo Takashima ◽  
Atsushi Kawaguchi ◽  
Junya Fukai ◽  
Yasuo Iwadate ◽  
Koji Kajiwara ◽  
...  
Keyword(s):  
Gene Expression ◽  
Central Nervous System ◽  
Nervous System ◽  
Cancer Cell ◽  
Cell Morphology ◽  
Network Formation ◽  
Central Nervous System Lymphoma ◽  
Survival Prediction ◽  
Gene Signatures ◽  
Prognosis Prediction

Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene signatures associated with the morphology and microenvironment of primary central nervous system lymphoma (PCNSL) to enable prognosis prediction. Next-generation sequencing (NGS) on 31 PCNSL samples revealed gene signatures as follows: ACTA2, ACTR10, CAPG, CORO1C, KRT17, and PALLD in cytoskeleton, CDH5, CLSTN1, ITGA10, ITGAX, ITGB7, ITGA8, FAT4, ITGAE, CDH10, ITGAM, ITGB6, and CDH18 in adhesion, COL8A2, FBN1, LAMB3, and LAMA2 in ECM, ADAM22, ADAM28, MMP11, and MMP24 in MMP. Prognosis prediction formulas with the gene expression values and the Cox regression model clearly divided survival curves of the subgroups in each status. Furthermore, collagen genes contributed to gene network formation in glasso, suggesting that the ECM balance controls the PCNSL microenvironment. Finally, the comprehensive balance of morphology and microenvironment enabled prognosis prediction by a combinatorial expression of 8 representative genes, including KRT17, CDH10, CDH18, COL8A2, ADAM22, ADAM28, MMP11, and MMP24. Besides, these genes could also diagnose PCNSL cell types with MTX resistances in vitro. These results would not only facilitate the understanding of biology of PCNSL but also consider targeting pathways for anti-cancer treatment in personalized precision medicine in PCNSL.

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