The transcription factor Sox2 plays an important role in various phases of embryonic development, including cell fate and differentiation. These key regulatory functions are facilitated by binding to specific DNA sequences in combination with partner proteins to exert their effects. Recently, overexpression and gene amplification of Sox2 has been associated with tumor aggression and metastasis in various cancer types, including breast, prostate, lung, ovarian and colon cancer. All the different roles for Sox2 involve complicated regulatory networks consisting of protein-protein and protein-nucleic acid interactions. Their involvement in the EMT modulation is possibly enabled by Wnt/ β-catenin and other signaling pathways. There are number of in vivo models which show Sox2 association with increased cancer aggressiveness, resistance to chemo-radiation therapy and decreased survival rate suggesting Sox2 as a therapeutic target. This review will focus on the different roles for Sox2 in metastasis and tumorigenesis. We will also review the mechanism of action underlying the cooperative Sox2- DNA/partner factors binding where Sox2 can be potentially explored for a therapeutic opportunity to treat cancers.
Advancements in medicine have increased the longevity of humans, resulting in a higher incidence of chronic diseases. Due to the rise in the elderly population, age-dependent neurodegenerative disorders are becoming increasingly prevalent. The available treatment options only provide symptomatic relief and do not cure the underlying cause of the disease. Therefore, it has become imperative to discover new markers and therapies to modulate the course of disease progression and develop better treatment options for the affected individuals. Growing evidence indicates that neuroinflammation is a common factor and one of the main inducers of neuronal damage and degeneration. Galectins (Gals) are a class of β-galactoside-binding proteins (lectins) ubiquitously expressed in almost all vital organs. Gals modulate various cellular responses and regulate significant biological functions, including immune response, proliferation, differentiation, migration, and cell growth, through their interaction with glycoproteins and glycolipids. In recent years, extensive research has been conducted on the Gal superfamily, with Gal-1, Gal-3, and Gal-9 in prime focus. Their roles have been described in modulating neuroinflammation and neurodegenerative processes. In this review, we discuss the role of Gals in the causation and progression of neurodegenerative disorders. We describe the role of Gals in microglia and astrocyte modulation, along with their pro- and anti-inflammatory functions. In addition, we discuss the potential use of Gals as a novel therapeutic target for neuroinflammation and restoring tissue damage in neurodegenerative diseases.
Lung cancer being the most common disease worldwide that leads to a number of deaths. A huge amount of effort has been done in screening trials for early diagnose treatment which increases the disease-free survival rate. Based on the expression of protein of mouse double minute 2 and tumor protein 53 complex, we have identified the antagonist for this complex that would facilitate the treatment for specific lung cancer. It is a complex disease that involves vast investigation for the characterization of a lung cancer and thus, computational study is being developed to mimic the in vivo system. In this work, a computational process was employed for the identification of these proteins, with a short and simple method to discover protein-protein interactions. Moreover, these proteins have more similarities in their function with the known cancer proteins as compared to those identified from the protein expression specific profiles. A new method that utilizes experimental information to improve the extent of numerical calculations based on free energy profiles from molecular dynamics simulation. The experimental information guides the simulation along relevant pathways and decreases overall computational time. This method introduces umbrella sampling simulations. A new technique umbrella sampling is described where the high efficacy100 of this technique enables uniform sampling with several degrees of freedom. Here, we review the protein interactions techniques and we focus on main concepts in the molecular of in-silico study in lung cancer. This study recruiting new methods proved the efficiency and showed good results.
The COVID19, a fatal disease by coronavirus (SARS-CoV-2) in late 2019 in China is now pandemic caused severe acute respiratory syndrome. The pandemic of COVID-19 has reached almost all regions of the world including territories with the death toll of more than 35,000. It has been estimated that one out every six-person affected by COVID-19 developed life-threatening conditions. The difficulty is that there are no vaccines or no specific treatment modalities for the management of COVID-19, apart from symptomatic treatments. Efforts for the development of vaccines and other specific treatment modalities are co-ordinated by the World Health Organisation (WHO), with many clinical trials ongoing with modern and traditional medicines. In this regard, various Phyto-actives from the plants are getting analyzed, which has earlier shown to be effective in various viral infections. Therefore, keeping the world scenario and due to the lack of vaccine, we have in silico studied the activity of tetrahydrocurcumin, a major metabolite of curcumin, a household spice, matairesinol, a major compound in wheat bran or flaxseed and vitamin K2-7 against both SARS-CoV's main peptide and COVID-19 Mpro.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.