Results 201 to 210 of about 47,955 (276)

Identification and Validation of Biomarkers in Chronic Rhinosinusitis With Nasal Polyps and Study of Their Associated Mechanisms

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Background Cell senescence (CS) and lipid metabolism (LM) disorders have been reported in chronic rhinosinusitis with nasal polyps (CRSwNP). However, the mechanism is still unclear. Methods Data were obtained from public databases; differential expression analysis and machine learning were performed to identify biomarkers and to understand the
Hui‐Yi Deng, Hui‐Jun Qiu, Ming‐Rui Pan, Qin‐Tai Yang   +3 more
wiley   +1 more source

The ribosome profiling landscape of yeast reveals a high diversity in pervasive translation. [PDF]

Genome Biol
Papadopoulos C, Arbes H, Cornu D, Chevrollier N, Blanchet S, Roginski P, Rabier C, Atia S, Lespinet O, Namy O, Lopes A.   +10 more
europepmc   +1 more source

rDNAmine: A New Tool for the Analysis of Long Repetitive Sequences

Yeast, EarlyView.
This work introduces a novel approach for analysing long repetitive genomic sequences, combining a method to isolate large DNA molecules from individual chromosomes. We also describe the bioinformatics tool rDNAmine, which enables the isolation of long‐repeat sequences from reads obtained using the Oxford Nanopore method, as well as their preliminary ...
Agnieszka Czarnocka‐Cieciura, Natalia Gumińska   +1 more
wiley   +1 more source

Exploring the potential of large language model-based chatbots in challenges of ribosome profiling data analysis: a review. [PDF]

Brief Bioinform
Ding Z, Wei R, Xia J, Mu Y, Wang J, Lin Y.   +5 more
europepmc   +1 more source

Adaptation of the invasive pest Drosophila suzukii to a specialized nutritional niche

Insect Science, EarlyView.
Unlike most Drosophila larvae that feed on spoiled food, Drosophila suzukii larvae thrive on ripening fruits and consequently face a low‐protein, high‐carbohydrate nutritional challenge. Comparisons of growth among D. suzukii, D. biarmipes, and D. melanogaster larvae across diets with varying protein‐to‐carbohydrate ratios demonstrate that D.
Yan Hou, Ying Zhen
wiley   +1 more source

Refining the Vertebrate Mitochondrial 12S rRNA Secondary Structure by Comparative Analysis

Integrative Zoology, EarlyView.
This flowchart outlines the comprehensive workflow of the study, integrating diverse bioinformatics tools (e.g., NCBI2GO, SSU‐align, bpRNA) and their sequential interactions. Key steps, such as data preprocessing, structural prediction, and evolutionary analysis, are depicted with their respective outputs (e.g., standardized records, consensus ...
Fengxia Li, Gengyun Niu, Renzeng Du, Kun Wan, David Roy Smith, Meicai Wei, Haihe Shi   +6 more
wiley   +1 more source

Identification and functional validation of a novel disease‐causing variant in the noncoding region of NYX

Acta Ophthalmologica, EarlyView.
Abstract Purpose Inherited retinal diseases (IRDs) are a clinically and genetically heterogeneous group of disorders, with ~30% of cases remaining genetically unsolved. Complete congenital stationary night blindness (cCSNB) is a subtype of IRD, usually associated with reduced visual acuity, nystagmus and high myopia.
Filip Spanic, Christelle Michiels, Julien Navarro, Aline Antonio, Christel Condroyer, Camille Andrieu, Billy Gipsy, Sylvie Berthémy‐Pellet, Mathilde Gallice, Isabelle Audo, Christina Zeitz   +10 more
wiley   +1 more source

Unveiling conserved HIV-1 open reading frames encoding T cell antigens using ribosome profiling. [PDF]

Nat Commun
Bertrand L, Nelde A, Ramirez BC, Hatin I, Arbes H, François P, Demais S, Labaronne E, Decimo D, Guiguettaz L, Grégoire S, Bet A, Beauclair G, Gross A, Ziegler MC, Pereira M, Jeger-Madiot R, Verdier Y, Vinh J, Cardinaud S, Graff-Dubois S, Esclatine A, Gouttefangeas C, Altfeld M, Hocqueloux L, Samri A, Autran B, Lambotte O, Rammensee HG, Ricci EP, Walz J, Namy O, Moris A.   +32 more
europepmc   +1 more source

RNA-seq and Ribosome Profiling Reveal the Translational Landscape of Rice in Response to Rice Stripe Virus Infection. [PDF]

Viruses
Wang C, Tang Y, Zhou C, Li S, Chen J, Sun Z.   +5 more
europepmc   +1 more source

Machine learning‐driven investigation on liquid–liquid phase separation‐related prognostic signature in diffuse large B‐cell lymphoma

British Journal of Haematology, EarlyView.
Summary Diffuse large B‐cell lymphoma (DLBCL) is the most common aggressive non‐Hodgkin lymphoma and is characterized by substantial heterogeneity. This study aimed to develop a liquid–liquid phase separation (LLPS)‐related prognostic model to improve risk stratification.
Zhen‐Zhong Zhou, Jia‐Chen Lu, Zhao Wang, Rong‐Hui Chen, Hai‐Long Li, Wan‐Ting Chen, Yu‐Ning Deng, Hui‐Juan Zhang, Yu Wang, Xuan‐Ye Zhang, Wei‐Juan Huang, Xiao‐Peng Tian   +11 more
wiley   +1 more source