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Biochemistry & Molecular Biology
Weiwei Zhang, Wenwen Wang, Yueyue Yu
Summary: A multi-amplified electro-chemiluminescence aptasensor was developed for efficient recognition of the tumor marker CA125 in ovarian cancer. The sensor utilizes a tetrahedral DNA nanostructure and gold nanoparticles/Ru(bpy)32+/metal-organic framework signal probe for enhanced detection. The aptasensor shows high sensitivity and reliability, making it suitable for clinical analysis of CA125 detection.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Joelle Saulnier, Catherine Jose, Florence Lagarde
Summary: This review provides an overview of the currently available electrochemical techniques, particularly impedimetric and voltamperometric methods, highlighting their recent advances in antibiotic susceptibility testing and microbial biofilm monitoring.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Chenyi Zhuo, Dehong Yu, Jiuying Cui, Zichun Song, Qianli Tang, Xianjiu Liao, Zhao Liu, Ning Xin, Lu Lou, Fenglei Gao
Summary: A label-free detection strategy for quantification of Apolipoprotein A4 (Apo-A4) has been developed based on rolling circle amplification (RCA) and proximity hybridization-induced DNAzyme-driven bipedal DNA walker. This method shows high sensitivity and selectivity for a wide range of protein targets.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Xiaopeng Hou, Qiongyi Cheng, Hui Wang
Summary: A self-cleaning paper-based microfluidic biosensor was developed using hydrophobic paper decorated with polymeric octadecyl trichlorosilane. The biosensor showed improved performance and could effectively measure the concentration of copper ions in livestock feed and manure.
BIOELECTROCHEMISTRY
(2024)
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Biology
Pengli Lu, Wenqi Zhang, Jinkai Wu
Summary: Researchers have developed a computational method, AMPCDA, to predict circRNA-disease associations using predefined metapaths, achieving high predictive accuracy. This method effectively combines node embeddings with higher-order neighborhood representations and provides valuable guidance for revealing new disease mechanisms in biological research.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2024)
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Biochemistry & Molecular Biology
David Alejandro Miranda Mercado, Erika Viviana Godoy Alarcon, Ely Dannier V-Nino
Summary: This research work investigates the time evolution of electrical properties of gram-positive and gram-negative bacteria in the presence of methyl violet and Lugol. The results show that the impedance magnitude decreases with an increasing bacterial population for both strains, but the rate of impedance magnitude variation over time is different between gram-positive and gram-negative bacteria. These findings suggest that the time evolution of electrical impedance spectra can be used to differentiate Staphylococcus aureus from Escherichia coli bacteria.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Artavazd Badalyan, Zhi-Yong Yang, Lance C. Seefeldt
Summary: The molybdenum-iron protein (MoFeP) is a component of the enzyme nitrogenase and can catalyze the reduction of various small molecules. However, it has been found that increasing the driving force alone cannot achieve efficient electrochemical activation of MoFeP.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Zan Cebron, Mihajlo Djokic, Miha Petric, Maja Cemazar, Masa Bosnjak, Gregor Sersa, Blaz Trotovsek
Summary: This study presents a novel treatment approach for pancreatic cancer combining surgical resection and intraoperative electrochemotherapy. Preliminary results suggest that this hybrid approach is safe and feasible.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Emadoddin Amin Sadrabadi, Ali Benvidi, Mostafa Azimzadeh, Leila Asgharnejad, Amin Shiralizadeh Dezfuli, Patricia Khashayar
Summary: In this study, a novel microRNA biosensor based on magnetic rod carbon paste electrodes was developed for breast cancer detection using a relatively new MOF structure as a substrate. The biosensor showed a very low detection limit and a wide dynamic range, indicating its potential for clinical diagnostics.
BIOELECTROCHEMISTRY
(2024)
Article
Biology
Kunal Bhattacharya, Shikha Mahato, Satyendra Deka, Nongmaithem Randhoni Chanu, Amit Kumar Shrivastava, Pukar Khanal
Summary: Chemoresistance, a major challenge in cancer treatment, is associated with the cellular glutathione-related detoxification system. A study has identified GSTP1 enzyme as critical in the inactivation of anticancer drugs and suggests the need for GSTP1 inhibitors to combat chemoresistance. Through molecular docking and simulations, the study found that quercetin 7-O-beta-D-glucoside showed promise as a potential candidate for addressing chemoresistance in cancer patients.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2024)
Article
Biology
Manwi Shankar, Majji Sai Sudha Rani, Priyanka Gopi, P. Arsha, Prateek Pandya
Summary: This study investigates the interaction between the food dye BBY and the serum protein BSA. The results show that BBY binds to a specific site on BSA through hydrophobic interactions, affecting the structural stability of the protein. These findings enhance our understanding of the molecular-level interactions between BBY and BSA.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Priyanga Kumar, Noel Nesakumar, Jayashree Gopal, Sakthivel Sivasubramanian, Srinivasan Vedantham, John Bosco Balaguru Rayappan
Summary: This study developed an electrochemical biosensor for measuring MG levels in the plasma of type-2 diabetes mellitus patients. The biosensor showed a wide linear concentration range, high sensitivity, and a 90% correlation with ELISA data. It also exhibited a significant correlation with HbA1c and fasting plasma glucose levels.
BIOELECTROCHEMISTRY
(2024)
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Biology
Pablo Urbaneja-Bernat, Alejandro Tena, Joel Gonzalez-Cabrera, Cesar Rodriguez-Saona
Summary: This article reviews the potential role of plant guttation as a food source for natural enemies, discussing its nutritional value, effects on insect communities, and potential use in conservation biological control.
CURRENT OPINION IN INSECT SCIENCE
(2024)
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Biochemistry & Molecular Biology
Yu Zhao, Jian Zhang, Nan Ma, Jinming Kong, Xueji Zhang
Summary: In this study, a vitamin B12-based electrochemical biosensor was developed for early screening of lung cancer. The method achieved high sensitivity detection of the lung cancer biomarker miRNA-21 at the femtomolar level using atom transfer radical polymerization.
BIOELECTROCHEMISTRY
(2024)
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Biochemistry & Molecular Biology
Milutin Smiljanic, Pierre Bleteau, Alexia Papageorgiou, Nathan Goffart, Catherine Adam, Thomas Doneux
Summary: The electrochemical properties of three oxazine fluorophores, ATTO655, ATTO680 and ATTO700, were investigated on gold electrodes. These fluorophores exhibit reversible or quasi-reversible voltammetric behavior depending on the pH. ATTO655, in particular, showed promising performance as a redox label for electrochemical nucleic acid sensing without affecting DNA folding. Hybridization experiments showed significant signal variation between single-stranded DNA and double-stranded DNA.
BIOELECTROCHEMISTRY
(2024)
Article
Biochemistry & Molecular Biology
Yanling Zhang, Jie Wang, Min Liu, Yun Ni, Yao Yue, Dawei He, Ruijiang Liu
Summary: An innovative electrochemical biosensor has been developed for sensitive detection of HER2 protein, an important tumor marker for breast cancer diagnosis and treatment evaluation. The biosensor utilizes specific recognition probes and nanomaterials, along with a unique sensing strategy, to achieve ultra-low detection limit and demonstrate excellent selectivity, reproducibility, and stability.
BIOELECTROCHEMISTRY
(2024)
Article
Biology
Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar
Summary: This study aims to identify biomarkers for non-small cell lung cancer (NSCLC) using copy number variation (CNV) data. A novel deep learning architecture, XL1R-Net, is proposed to improve the classification accuracy for NSCLC subtyping. Twenty NSCLC-relevant biomarkers are uncovered using explainable AI (XAI)-based feature identification. The results show that the identified biomarkers have high classification performance and clinical relevance. Additionally, twelve of the biomarkers are potentially druggable and eighteen of them have a high probability of predicting NSCLC patients' survival likelihood according to the Drug-Gene Interaction Database and the K-M Plotter tool, respectively. This research suggests that investigating these seven novel biomarkers can contribute to NSCLC therapy, and the integration of multiomics data and other sources will help better understand NSCLC heterogeneity.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2024)
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Biology
Kangjie Wu, Liqian Xu, Xinxiang Li, Youhua Zhang, Zhenyu Yue, Yujia Gao, Yiqiong Chen
Summary: Named Entity Recognition (NER) is a crucial task in natural language processing (NLP) and big data analysis, with wide application range. This paper proposes an improved neural network method for NER of rice genes and phenotypes, which can learn semantic information in the context without feature engineering. Experimental results show that the proposed model outperforms other models.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2024)
Article
Biology
Suman Hait, Sudip Kundu
Summary: Interactions between amino acids in proteins are crucial for stability and structural integrity. Thermophiles have more and more stable interactions to survive in extreme environments. Different types of interactions are enriched in different structural regions.
COMPUTATIONAL BIOLOGY AND CHEMISTRY
(2024)
Article
Biochemistry & Molecular Biology
Yun Zhang, Shiqiang Li, Chenxu Peng, Zhe Shi, Xiangmin Miao
Summary: In this study, a method based on Au@luminol nanoparticles was established for the sensitive detection of miRNA-21 in cancer cell-derived exosomes. The method showed enhanced electrochemiluminescence and achieved sensitive detection with a detection limit of 0.43 fM. It demonstrated potential application value in early clinical diagnosis.
BIOELECTROCHEMISTRY
(2024)
