Genetics

An integrated multiscale computational framework deciphers SARS-CoV-2 resistance to sotrovimab.

The emergence of resistance mutations in the SARS-CoV-2 spike (S) protein presents a challenge for monoclonal antibody treatments like sotrovimab. Understanding the structural, dynamic, and molecular features of these mutations is essential for therapeutic advancements. However, the intricate landscape of potential mutations and critical residues conferring resistance to mAbs like sotrovimab remai...

Integration of structural study and machine learning to elucidate the RNA-SFs interaction atlas in eukaryotic cells.

Alternative splicing (AS) occupies a central position in plant growth and development, stress response, and animal growth and disease processes. Mutations in SF (splicing factor) trigger aberrant AS activities that disrupt these fine biological processes. Although cryo electron microscopy (cryoEM) technology has successfully revealed the fine structure of multiple spliceosomes, the dynamic and com...

Association of [F]-FDG PET/CT-Derived Radiomic Features with Clinical Outcomes and Genomic Profiles in Patients with Chronic Lymphocytic Leukemia.

The role of PET/CT imaging in chronic lymphoproliferative syndromes (CLL) is debated. This study examines the potential of PET/CT radiomics in predic...

Investigation of the Significance of Blood Signatures on Sepsis-Induced Acute Lung Injury in Sepsis Within 24 Hours.

Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction. As a time-sensitive condition, sepsis requires pr...

Integrating next-generation sequencing and artificial intelligence for the identification and validation of pathogenic variants in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) is recognized as a multifactorial disease, where both genetic and environmental factors play critical roles in its...

Enhancing sparse data recommendations with self-inspected adaptive SMOTE and hybrid neural networks.

Personalized recommendation systems are vital for enhancing user satisfaction and reducing information overload, especially in data-sparse environment...

Alzheimer's diagnosis by an efficient pipelined gene selection model based on statistical and biological data analysis.

Diagnosing Alzheimer's disease based on gene expression data extracted from microarrays is still an open field of research. Due to the availability of...

State of the Art on Inherited Retinal Dystrophies: Management and Molecular Genetics.

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mutations primarily affecting retinal photoreceptors....

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer.

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditions. Traditionally calculated as an effect size wei...

ConsensuSV-ONT - A modern method for accurate structural variant calling.

Improvements in sequencing technology make the development of new tools for detection of structural variance more and more common. However, since the ...

A combined model for short-term traffic flow prediction based on variational modal decomposition and deep learning.

The emergence of Deep Learning provides an opportunity for traffic flow prediction. However, uncertainty and volatility exhibited by nonlinearity and ...

Coixol Protects Against Acute Kidney Injury by Reducing Cell Senescence.

Acute kidney injury (AKI) is associated with increased in-hospital mortality, yet effective therapeutic agents remain limited. Coixol, a polyphenolic ...

Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morbidity in the paediatric and adult populations. Def...

Erratum: Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic Nephropathy [Corrigendum].

[This corrects the article DOI: 10.2147/DMSO.S413569.].

Aberrant formation of the neutrophil extracellular trap and the expression of the PLEKHA1 in systemic lupus erythematosus and ulcerative colitis.

Systemic lupus erythematosus (SLE) and ulcerative colitis (UC) are both chronic autoimmune diseases with unclear shared mechanisms, largely due to lim...

Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies.

: Late-onset pre-eclampsia (LO-PE) remains difficult to predict because placental angiogenic markers perform poorly once maternal cardiometabolic fact...

Preliminary Development of Global-Local Balanced Vision Transformer Deep Learning with DNA Barcoding for Automated Identification and Validation of Forensic Sarcosaphagous Flies.

Morphological classification is the gold standard for identifying necrophilous flies, but its complexity and the scarcity of experts make accurate cla...

High-Resolution Spatial Profiling of Microglia Reveals Proximity Associated Immunometabolic Reprogramming in Alzheimer's Disease.

Single-cell RNA sequencing has demonstrated that the presence of parenchymal amyloid plaques and intracellular hyperphosphorylated tau pathology is as...

Exon-intron boundary detection made easy by physicochemical properties of DNA.

Genome architecture in eukaryotes exhibits a high degree of complexity. Amidst the numerous intricacies, the existence of genes as non-continuous stre...

Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments.

Type 2 diabetes mellitus (T2DM) and Major depressive disorder (MDD) act as risk factors for each other, and the comorbidity of both significantly incr...