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Nucleolar protein DCAF13 promotes non–small cell lung cancer cell proliferation via facilitating rDNA transcription and ribosome biogenesis
Structural and energetic basis of marine phytochemicals as dengue NS1 protein inhibitors
Correction: Abstract 2108 cobalt bead-based selection for a therapeutic aptamer against mutated superoxide dismutase 1 alleviates multiple sclerosis symptoms via M1 muscarinic inhibition
Discovery and molecular docking studies of nitrogen containing naphthyridine derivatives as potent HIV1 NNRTIs with anticancer potential
Allosteric regulation of the Golgi-localized PPM1H phosphatase by Rab GTPases modulates LRRK2 substrate dephosphorylation in Parkinson’s disease
In-vitro human myogenesis model reveals novel mRNA alternative splicing isoforms
Abstract Myogenesis, the process of muscle formation and regeneration, involves substantial alterations in gene expression. While alternative splicing plays a crucial role in generating proteomic diversity during development and disease, its specific contributions to human muscle differentiation have not been systematically explored. Here, we examined altered mRNA splicing during myogenesis in two human myoblast cell lines using a hybrid transcriptomic approach that combines short-read (Illumina) and long-read (Nanopore) RNA-seq analyses. We identified 13,853 new significant splicing isoforms (60,582 total), with RNAs increasing and decreasing in abundance between days 0 and 3 (3,771 and 3,649, respectively), and between days 3 and 5 (1,302 and 1,109, respectively). We identified 1,937 significant differential transcript usage events (DTUs), implicating pathways relevant for muscle regulation. These findings were validated using RT-qPCR analysis and across mouse and human models, including clinical samples from peripheral artery disease patients. Artificial Intelligence algorithms predicted 595 myogenesis-associated, high-confidence, novel protein-coding splicing isoforms. This study uncovers splicing-regulated mechanisms in muscle development and pathologies, establishing an integrative framework for studying mRNA processing, essential for future muscle biology intervention studies.
Insight into the high-potential branch of the alternate NAD+-dependent NADPH:ferredoxin oxidoreductase II (NfnII) from Pyrococcus furiosus: evidence for the gating step in electron bifurcation
Comparative analysis of algorithmic approaches in ensemble learning: bagging vs. boosting
Deciphering the unique autoregulatory mechanisms and substrate specificity of the understudied DCLK3 kinase linked to neurodegenerative diseases
Coherent control of reflection and transmission solitons of structured light via a gain-assisted medium
Comprehensive management of vulvovaginal cancers
AbstractVulvar and vaginal cancers represent rare malignancies, with an incidence of 2.7 per 100,000 women for vulvar cancer, predominantly affecting women older than 60 years, although rising rates are observed in younger demographics. Approximately 90% of vulvar cancers are squamous cell carcinoma and frequently are associated with human papillomavirus (HPV) infection. Vaginal cancer, constituting less than 1% of all female cancers, similarly exhibit HPV‐related trends. This review delineates the etiology, histopathology, and treatment strategies for carcinomas and vulvovaginal melanomas and sarcomas. Surgical intervention remains the primary treatment modality for vulvar cancer, involving tumor resection and inguinofemoral lymph node staging. For locally advanced vulvar carcinoma, chemoradiation is advised when exenterative surgery would be indicated. Recurrence rates within 2 years after diagnosis range from 12% to 37%. Unfortunately, systemic treatments for recurrent or metastatic disease are limited, with 5‐year survival rates at approximately 20%. Current evidence primarily derives from retrospective studies or small phase 2 trials or otherwise is extrapolated from the treatment of cervical cancer. Enrollment in clinical trials is strongly advocated, along with prompt access to best supportive care to mitigate the effect of locoregional progression on quality of life. Moreover, the psychosocial implications of treatment on body image and sexuality necessitate careful consideration. Future HPV vaccination initiatives may reduce cancer incidence, although significant effects of such vaccination will manifest over decades, underscoring the urgent need to enhance treatment efficacy and minimize morbidity in vulvar and vaginal cancers.
Structure-based identification of salvianolic acid B as an inhibitor targeting Salmonella InvC ATPase
An energy efficient hierarchical routing approach for UWSNs using biology inspired intelligent optimization
Abstract Aiming at the issues of uneven energy consumption among nodes and the optimization of cluster head selection in the clustering routing of underwater wireless sensor networks (UWSNs), this paper proposes an improved gray wolf optimization algorithm (CTRGWO-CRP) based on cloning strategy, t-distribution perturbation mutation, and opposition-based learning strategy. Within the traditional gray wolf optimization framework, the algorithm first employs a cloning mechanism to replicate high-quality individuals and introduces a t-distribution perturbation mutation operator to enhance population diversity while achieving a dynamic balance between global exploration and local exploitation. Additionally, it integrates an opposition-based learning strategy to expand the search dimension of the solution space, effectively avoiding local optima and improving convergence accuracy. A dynamic weighted fitness function was designed, which includes parameters such as the average remaining energy of the network and the communication distance from cluster heads to base stations. This function utilizes an adaptive weight adjustment mechanism to achieve multi-objective optimization of energy balance and transmission efficiency. During the cluster head election phase, an elite retention strategy is adopted to prioritize high-energy nodes. In the data transmission phase, a multi-hop relay mechanism based on gradient fields and energy thresholds is constructed, optimizing communication energy consumption through path loss prediction. Simulation results demonstrate that, compared to the LEACH, DMaOWOA, and GSHFA-HCP algorithms, the proposed algorithm significantly extends the network lifetime by at least 23.5%, showcasing its substantial advantages. This verifies the effectiveness of the multi-strategy fusion mechanism in routing optimization.
REIIBP methylates nucleolar proteins and regulates pre-rRNA processing
Identifying sets of phylogenetically informative markers for Anastrepha (Diptera: Tephritidae)
The RING-finger domain of Arabidopsis RMR functions as an E3 ligase essential for post-Golgi trafficking
Latent profiles of quality of life and their correlations with social support and self-efficacy of patients with hematologic malignancies
Transforming treatment paradigms: Focus on personalized medicine for high‐grade serous ovarian cancer
AbstractHigh‐grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of ovarian cancer, accounting for approximately 70% of all ovarian cancer cases and contributing significantly to the high mortality rates associated with this disease. Because of the asymptomatic nature of early stage disease, most patients are diagnosed at advanced stages when the cancer has already spread into the abdominal cavity, requiring complex and intensive surgical and chemotherapeutic interventions followed by maintenance therapies. Although a minority of cases are associated with well defined genetic syndromes, specific risk factors and a clear etiology in many cases remain elusive. HGSOC tumors are characterized by a high frequency of somatic gene copy number alterations, often associated with defects in homologous recombination repair of DNA. All attempts to introduce an effective screening for HGSOC to date have been unsuccessful. This review elucidates the complexities surrounding HGSOC and encompasses its etiology, epidemiology, classification, pathogenesis, and the current array of treatment strategies. Understanding molecular underpinnings is crucial for the development of targeted therapies and personalized multimodal treatment approaches in centralized therapeutic structures. This review also examines the importance of the tumor microenvironment. In addition, the authors' objective is to underscore the critical importance of placing the patient's perspective and diversity at the forefront of therapeutic strategies, thereby fostering a genuinely participatory decision‐making process and ultimately improving patient quality of life.