scholarly journals Molecular and Cellular Modelling of Salivary Gland Tumors Open New Landscapes in Diagnosis and Treatment

Cancers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3107
Author(s):  
Cristina Porcheri ◽  
Christian T. Meisel ◽  
Thimios A. Mitsiadis

Salivary gland tumors are neoplasms affecting the major and minor salivary glands of the oral cavity. Their complex pathological appearance and overlapping morphological features between subtypes, pose major challenges in the identification, classification, and staging of the tumor. Recently developed techniques of three-dimensional culture and organotypic modelling provide useful platforms for the clinical and biological characterization of these malignancies. Additionally, new advances in genetic and molecular screenings allow precise diagnosis and monitoring of tumor progression. Finally, novel therapeutic tools with increased efficiency and accuracy are emerging. In this review, we summarize the most common salivary gland neoplasms and provide an overview of the state-of-the-art tools to model, diagnose, and treat salivary gland tumors.

2018 ◽  
Vol 28 (2) ◽  
pp. 303-317 ◽  
Author(s):  
Ahmed Abdel Khalek Abdel Razek ◽  
Suresh K. Mukherji

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Armin Mirzapour-Kouhdasht ◽  
Marzieh Moosavi-Nasab ◽  
Chul Won Lee ◽  
Hyosuk Yun ◽  
Jong-Bang Eun

AbstractThe multifunctional properties of fish gelatin hydrolysates have not been completely elucidated. Here, the biological characterization of these peptides was performed to engineer multifunctional peptides. Bioactive peptides were produced from mackerel byproducts via successive enzymatic hydrolysis reactions using subtilisin A and actinidin as microbial and herbal proteases. The antibacterial activity against both gram-negative and -positive food-borne pathogens, including Escherichia coli, Pseudomonas aeruginosa, Staphylococcus aureus, and Klebsiella pneumoniae, as well as the inhibitory potential of angiotensin-converting enzyme (ACE) and dipeptidyl peptidase IV (DPP-IV), was accessed in vitro. The synthesized peptides demonstrated multifunctional properties, which were further confirmed by in silico protocols. The ACE and DPP-IV inhibitory (IC50) values of P1, P2, and P3 were 0.92 and 0.87, 0.51 and 0.93, 0.78 and 1.16 mg mL−1, respectively. Moreover, the binding energy was sufficient for all three peptides to inhibit both ACE and DPP-IV enzymes with excellent three-dimensional conformation (RMSD = 0.000) for all six docking mechanisms.


2015 ◽  
Vol 4 (39) ◽  
pp. 6787-6792
Author(s):  
Sheetal Singh ◽  
Amlendu Nagar ◽  
Pramod Sakhi ◽  
Sachin Kataria ◽  
Kumud Julka ◽  
...  

2005 ◽  
Vol 31 (10) ◽  
pp. 1297-1304 ◽  
Author(s):  
Toru Chikui ◽  
Kenji Tokumori ◽  
Kazunori Yoshiura ◽  
Kazunari Oobu ◽  
Seiji Nakamura ◽  
...  

2020 ◽  
Vol 10 (13) ◽  
pp. 4520
Author(s):  
Giuseppe Coppola ◽  
Maria Antonietta Ferrara

Polarization-sensitive digital holographic imaging (PS-DHI) is a recent imaging technique based on interference among several polarized optical beams. PS-DHI allows simultaneous quantitative three-dimensional reconstruction and quantitative evaluation of polarization properties of a given sample with micrometer scale resolution. Since this technique is very fast and does not require labels/markers, it finds application in several fields, from biology to microelectronics and micro-photonics. In this paper, a comprehensive review of the state-of-the-art of PS-DHI techniques, the theoretical principles, and important applications are reported.


2020 ◽  
Vol 21 (4) ◽  
pp. 1524 ◽  
Author(s):  
Van-An Duong ◽  
Jong-Moon Park ◽  
Hookeun Lee

Proteomics is a large-scale study of proteins, aiming at the description and characterization of all expressed proteins in biological systems. The expressed proteins are typically highly complex and large in abundance range. To fulfill high accuracy and sensitivity of proteome analysis, the hybrid platforms of multidimensional (MD) separations and mass spectrometry have provided the most powerful solution. Multidimensional separations provide enhanced peak capacity and reduce sample complexity, which enables mass spectrometry to analyze more proteins with high sensitivity. Although two-dimensional (2D) separations have been widely used since the early period of proteomics, three-dimensional (3D) separation was barely used by low reproducibility of separation, increased analysis time in mass spectrometry. With developments of novel microscale techniques such as nano-UPLC and improvements of mass spectrometry, the 3D separation becomes a reliable and practical selection. This review summarizes existing offline and online 3D-LC platforms developed for proteomics and their applications. In detail, setups and implementation of those systems as well as their advances are outlined. The performance of those platforms is also discussed and compared with the state-of-the-art 2D-LC. In addition, we provide some perspectives on the future developments and applications of 3D-LC in proteomics.


Sign in / Sign up

Export Citation Format

Share Document