The rising incidence of drug resistant diseases has led to an increasing need for developing novel and efficient antimicrobial products that can counter these infections. We report for the first time, the exceptional antibacterial activity of N-doped carbon nanosheets (CNS). The antibacterial activity and mechanism of action of CNS was examined for gram negative E. coli. Based on the cell viability tests, nucleic acid quantitation, time and concentration dependent antibacterial activity tests and SEM and TEM micrographs, performed under similar concentration and incubation conditions, the CNS dispersion shows the highest antibacterial activity, sequentially followed by GO, rGO and CCM, with a loss of cell viability by 92.1 AE 1.7%. We envision that the physical stress and piercing action caused by sharp "knifeedges" as well as the presence of heteroatoms in CNS result in the rupturing of the bacterial cell wall, eventually causing cell death. The high I D /I G ratio (0.99) of CNS is closely related to the formation of structural and edge plane defects, especially in the case of N-doped carbonaceous materials, which is one of the key factors in enhancing the antibacterial activity of the material.
Non-covalently functionalized PFNGS, exhibiting exceptional biocompatibility, were employed for sensing nitric oxide with high temporal resolution.
Nicotine is a parasympathomimetic alkaloid found in the nightshade family of plants (Solanaceae) and is a cholinergic drug. It acts directly by stimulating the nicotinic or muscarinic receptors or indirectly by inhibiting cholinesterase, promoting acetylcholine release, or by other mechanisms. 3% of tobacco or one cigarette yields 1 mg of nicotine. As nicotine enters the body, it disturbs the healthy functioning of the body. In this study, we isolated UMNSAH/DF-1 cell line from Gallus gallus. For this, 9 ± 2 day old chicken embryo was taken. This was followed by the extraction of nicotine (1 mg/ml) from cigarette. The cells were then given nicotine stress and were observed for blackening after 24 h of incubation under 40× resolution of microscope. It was found that this blackening of the cells was permanent even after a wash with 1× phosphate-buffered saline (PBS) followed by replenishing the medium. The phytochemicals extracted were from the dried powder, which included Curcuma longa (薑黃 Jiāng Huáng; Turmeric) 40 mg/ml, Azadirachta indica (neem) 50 mg/ml, Cinnamomum tamala (bay leaf) 30 mg/ml, Camellia sinensis (綠茶 Lǜ Chá; Green Tea) 100 mg/ml, and Ocimum sanctum (tulsi) 30 mg/ml. When applied to nicotine-stressed cells, it was observed that ursolic acid in neem recovered 70%, followed by 65% recovery by tulsi (having triterpenoid), 50% recovery by the catechins in Ca. sinensis, and very little recovery shown by Ci. tamala. Due to the yellow coloration of the cells by Cu. longa, much could not be inferred, although it was inferable that it had resulted in little effects. Mixtures of these phytochemicals were used, and it was found that neem: tulsi diluted in 3:1 ratio was highly effective and cell recovery was almost 80%. 68% was recovered by tulsi: green tea in a ratio 1:3 and 42% by turmeric:green tea in a ratio of 1:5.
Transcription factors are trans-acting proteins that interact with specific nucleotide sequences known as transcription factor binding site (TFBS), and these interactions are implicated in regulation of the gene expression. Regulation of transcriptional activation of a gene often involves multiple interactions of transcription factors with various sequence elements. Identification of these sequence elements is the first step in understanding the underlying molecular mechanism(s) that regulate the gene expression. For in silico identification of these sequence elements, we have developed an online computational tool named transcription factor information system (TFIS) for detecting TFBS for the first time using a collection of JAVA programs and is mainly based on TFBS detection using position weight matrix (PWM). The database used for obtaining position frequency matrices (PFM) is JASPAR and HOCOMOCO, which is an open-access database of transcription factor binding profiles. Pseudo-counts are used while converting PFM to PWM, and TFBS detection is carried out on the basis of percent score taken as threshold value. TFIS is equipped with advanced features such as direct sequence retrieving from NCBI database using gene identification number and accession number, detecting binding site for common TF in a batch of gene sequences, and TFBS detection after generating PWM from known raw binding sequences in addition to general detection methods. TFIS can detect the presence of potential TFBSs in both the directions at the same time. This feature increases its efficiency. And the results for this dual detection are presented in different colors specific to the orientation of the binding site. Results obtained by the TFIS are more detailed and specific to the detected TFs as integration of more informative links from various related web servers are added in the result pages like Gene Ontology, PAZAR database and Transcription Factor Encyclopedia in addition to NCBI and UniProt. Common TFs like SP1, AP1 and NF-KB of the Amyloid beta precursor gene is easily detected using TFIS along with multiple binding sites. In another scenario of embryonic developmental process, TFs of the FOX family (FOXL1 and FOXC1) were also identified. TFIS is platform-independent which is publicly available along with its support and documentation at http://tfistool.appspot.com and http://www.bioinfoplus.com/tfis/ . TFIS is licensed under the GNU General Public License, version 3 (GPL-3.0).
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.