Genetics

Nanopore-Based Label-Free and Single-Molecule Sequencing toward Precision Diagnosis.

Nanopore-based single-molecule sequencing (SMS) is a powerful tool for acquiring detailed heterogeneous information on critical building blocks of life, such as nucleic acids, proteins, and a wide array of biomolecules, at the single-molecule level. Real-time current-intensity fluctuations corresponding to the passage of target molecules through nanopores enable long-read length, high-throughput, ...

Characteristics and genomics study of Salmonella isolates in retail chicken in Shaanxi, China: Focus on comparative genomics analysis of S. Kentucky and S. enteritidis isolates from Shaanxi with those from elsewhere in China.

Salmonella is a major foodborne pathogen, frequently linked to poultry and posing serious food safety and public health risks. To investigate its epidemiology in retail chicken in Shaanxi Province, China, we conducted a comprehensive study integrating whole-genome sequencing (WGS), Clusters of Orthologous Groups (COG) analysis, and machine learning (ML). Genomic data of 331 S. Kentucky and 614 S. ...

Diagnosis of head and neck cancer by AI-based tumor-educated platelet RNA profiling of liquid biopsies.

Over 95% of head and neck cancers are squamous cell carcinoma (HNSCC). HNSCC is mostly diagnosed late, causing a poor prognosis despite the applicatio...

Urinary Cell-Free DNA detection platform for bacterial cystitis diagnosis via spot-based machine learning.

INTRODUCTION: Bacterial cystitis is a prevalent infectious condition that is primarily caused by uropathogenic Escherichia coli (E. coli). The rapid a...

DeepHFFT-m7G: A dual-channel self-attention and hybrid feature fusion framework for RNA m7G modification identification.

N7-Methylguanosine (m7G) is a prevalent RNA modification that has attracted significant attention in recent RNA functional research. Multiple studies ...

Advances in antituberculosis drug-induced liver injury: Molecular mechanisms, genetic insights, and emerging animal-free prediction models.

Approximately 10 million tuberculosis patients worldwide require drug therapies annually. However, prolonged use of tuberculocidal drugs in combinatio...

A machine learning-based assessment strategy for Artemisia argyi Folium: Exploring the dose-effect relationship between anti-inflammatory activity and chemical composition.

ETHNOPHARMACOLOGICAL RELEVANCE: Artemisia argyi Folium (AAF) has been traditionally used for its medicinal properties, and understanding its anti-infl...

iEnhancer-Flow: Integrating Transformer-Based Sequence Learning with DNA Shape Insights for Robust Enhancer Prediction.

PURPOSE: Enhancers are critical non-coding regulatory elements, but their prediction remains challenging due to their variability and the absence of c...

Hereditary syndromes and RCC: what radiologists need to know.

Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This review provides a comprehensive overview of the seven...

Functional profiling of the chaperone systems interactome in breast cancer using experimental and machine-learning data.

Breast cancer heterogeneity stems from diverse molecular alterations, including proteostasis loss due to chaperone system dysfunction. However, the im...

Identification of common genetic features and pathways for osteoporosis with frozen shoulder by integrated bioinformatics analysis and machine learning.

Frozen shoulder (FS) and osteoporosis (OP) are common age-related degenerative diseases, occurring more frequently in females, which suggests potentia...

GCLM as a novel biomarker for preeclampsia: Integrating bioinformatics and mechanistic validation.

INTRODUCTION: Preeclampsia (PE) is a pregnancy-specific disorder associated with hypertension and multi-organ dysfunction, posing serious risks to mat...

Guiding design and performance of nonviral nucleic acid delivery vehicles via machine learning.

Machine Learning (ML) techniques have enabled the advancement of many technologies throughout the pharmaceutical industry, especially for drug discove...

Regulatory mechanism of the oprM gene in colistin resistance of acinetobacter baumannii.

BACKGROUND: Colistin resistance in Acinetobacter baumannii (AB) is a serious clinical concern. This study aimed to identify resistance-related genes a...

Autocatalytic Circular DNA Powered Plasmonic CRISPR/Cas12a Platform for Ultrasensitive Non-Nucleic Acid Target Sensing.

CRISPR/Cas12a-based detection of non-nucleic acid targets faces two major challenges: 1) limited sensitivity due to the inherent inability to pre-ampl...

Explainable artificial intelligence for multi-modal cancer analysis: From genomics to immunology.

Cancer remains one of the most biologically intricate and heterogeneous diseases, with variability spanning genetic, epigenetic, metabolic, spatial, a...

IDH Mutation Classification in Nonenhancing Gliomas: A Comparison of Habitat and Whole-Tumor Transfer Learning Strategies.

BACKGROUND: Isocitrate dehydrogenase (IDH) mutation status is an important biomarker for the diagnosis and management of nonenhancing gliomas, undersc...

Bridging the variant-to-function gap in type 2 diabetes: advances and challenges.

Type 2 diabetes is a polygenic, heterogeneous disease affecting over 530 million individuals worldwide, a number projected to rise to 1.3 billion by 2...

Metabolic and epigenetic reprogramming in circulating tumor cells: Advances in liquid biopsy and cancer management.

Circulating tumor cells are key drivers of cancer metastasis and represent powerful biomarkers for real-time monitoring of disease progression through...

Molecular targeted therapies, omics, and AI based theranostics approaches for the treatment of prostate cancer.

Cancer is a disease that begins with genetic and epigenetic alterations occurring in specific cells, some of which can spread and migrate to other tis...