Molecular-Level Insight into the Interactions of DNA/Polycation Complexes with Model Cell Membranes

2019 ◽  
Vol 123 (30) ◽  
pp. 6505-6514 ◽  
Author(s):  
Andrey A. Gurtovenko
2015 ◽  
Vol 119 (30) ◽  
pp. 17074-17083 ◽  
Author(s):  
Bolin Li ◽  
Hong-Yin Wang ◽  
Peiyong Feng ◽  
Xiaofeng Han ◽  
Zhan Chen ◽  
...  

2021 ◽  
Vol 22 (11) ◽  
pp. 5939
Author(s):  
Emilia Piosik ◽  
Aleksandra Zaryczniak ◽  
Kinga Mylkie ◽  
Marta Ziegler-Borowska

Understanding the mechanism of interactions between magnetite nanoparticles and phospholipids that form cellular membranes at the molecular level is of crucial importance for their safe and effective application in medicine (e.g. magnetic resonance imaging, targeted drug delivery, and hyperthermia-based anticancer therapy). In these interactions, their surface coating plays a crucial role because even a small modification to its structure can cause significant changes to the behaviour of the magnetite nanoparticles that come in contact with a biomembrane. In this work, the influence of the magnetite nanoparticles functionalized with native and aminated starch on the thermodynamics, morphology, and dilatational elasticity of the model cell membranes was studied. The model cell membranes constituted the Langmuir monolayers formed at the air–water interface of dipalmitoylphosphatidylcholine (DPPC). The surface of the aminated starch-coated nanoparticles was enriched in highly reactive amino groups, which allowed more effective binding of drugs and biomolecules suitable for specific nano–bio applications. The studies indicated that the presence of these groups also reduced to some extent the disruptive effect of the magnetite nanoparticles on the model membranes and improved their adsorption.


Author(s):  
Tian Wu ◽  
Danyan Hu ◽  
Qingfen Wang

Abstract Background Noni (Morinda citrifolia Linn.) is a tropical tree that bears climacteric fruit. Previous observations and research have shown that the second day (2 d) after harvest is the most important demarcation point when the fruit has the same appearance as the freshly picked fruit (0 d); however, they are beginning to become water spot appearance. We performed a conjoint analysis of metabolome and transcriptome data for noni fruit of 0 d and 2 d to reveal what happened to the fruit at the molecular level. Genes and metabolites were annotated to KEGG pathways and the co-annotated KEGG pathways were used as a statistical analysis. Results We found 25 pathways that were significantly altered at both metabolic and transcriptional levels, including a total of 285 differentially expressed genes (DEGs) and 11 differential metabolites through an integrative analysis of transcriptomics and metabolomics. The energy metabolism and pathways originating from phenylalanine were disturbed the most. The upregulated resistance metabolites and genes implied the increase of resistance and energy consumption in the postharvest noni fruit. Most genes involved in glycolysis were downregulated, further limiting the available energy. This lack of energy led noni fruit to water spot appearance, a prelude to softening. The metabolites and genes related to the resistance and energy interacted and restricted each other to keep noni fruit seemingly hard within two days after harvest, but actually the softening was already unstoppable. Conclusions This study provides a new insight into the relationship between the metabolites and genes of noni fruit, as well as a foundation for further clarification of the post-ripening mechanism in noni fruit.


Author(s):  
Li Zhang ◽  
Ya‐Ling Ye ◽  
Xiao‐Ling Zhang ◽  
Xiang‐Hui Li ◽  
Qiao‐Hong Chen ◽  
...  

Soft Matter ◽  
2012 ◽  
Vol 8 (20) ◽  
pp. 5501 ◽  
Author(s):  
Seunghwan Jeong ◽  
Sung Ho Ha ◽  
Sang-Hyun Han ◽  
Min-Cheol Lim ◽  
Sun Min Kim ◽  
...  

Author(s):  
Andrew C. Try ◽  
Gary J. Sharman ◽  
Robert J. Dancer ◽  
Ben Bardsley ◽  
Richard M. H. Entress ◽  
...  

2018 ◽  
Vol 61 (9-11) ◽  
pp. 1148-1162 ◽  
Author(s):  
Peipei Hu ◽  
Xiaoxian Zhang ◽  
Yaoxin Li ◽  
Cayla Pichan ◽  
Zhan Chen

Chem ◽  
2018 ◽  
Vol 4 (3) ◽  
pp. 613-625 ◽  
Author(s):  
Yuhan Peng ◽  
Liangbing Wang ◽  
Qiquan Luo ◽  
Yun Cao ◽  
Yizhou Dai ◽  
...  

2019 ◽  
Vol 75 (a1) ◽  
pp. a268-a268
Author(s):  
Aparna Annamraju ◽  
Nicholas D. Smith ◽  
Loukas Petridis ◽  
Hugh O'Neill ◽  
Sai Venkatesh Pingali ◽  
...  

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