Genetics

Optimizing Cancer Drug Treatments Using Big Data Integration of Genomic and Clinical Data for Personalized Medicine.

Personalized cancer care depends on the seamless integration of genetic profiles, medical histories, and continuous patient monitoring to optimize therapeutic outcomes. Current clinical strategies struggle to combine these disparate, highly heterogeneous data streams, frequently resulting in incomplete diagnostic evaluations and suboptimal treatment selections. Factors such as poor cross-platform ...

Integrating network toxicology, machine learning, and single-cell sequencing systems to analyze autophagy core genes in lung adenocarcinoma.

The heterogeneity and complex tumor microenvironment of lung adenocarcinoma lead to poor prognosis. Autophagy, as a key cellular process, interacts with tumor immune infiltration and jointly affects the progression of lung adenocarcinoma, but its core regulatory genes and mechanisms are still unclear.This study integrated three lung adenocarcinoma transcriptome datasets from the GEO database and p...

Leveraging pretrained vision transformers for classifying alcohol use disorder using raw resting-state EEG.

Alcohol Use Disorder (AUD) is a prevalent neuropsychiatric condition affecting about 28 million adults in the USA, with few objective biomarkers to as...

Integrated Network Analysis Suggests an miR-21/MMP/VEGF-Associated Regulatory Axis in Gastric Cancer.

BACKGROUND, AIMS: Gastric cancer (GC) pathogenesis involves complex molecular interactions that remain incompletely understood at a biological systems...

Evolution of peptide-mediated siRNA delivery - from early design to next generation platform.

Small interfering RNA (siRNA) therapeutics has huge potential for treating many diseases, including those incurable or undruggable by small molecules ...

Genome-wide analysis of subcortical aging identifies a spatially structured pattern of genetic associations.

Local brain age (LBA) is a spatially resolved biomarker of brain aging that captures regional deviations from chronological age, yet its genetic archi...

A network approach with motion sequencing reveals hidden patterns of repetitive behavior in a pre-clinical model of epilepsy.

Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients with epilepsy bare a disproportionate burden of co...

Identification of TNFRSF12A as a key regulator of stemness and immunosuppression in a novel glioma subtype via multi-omics analysis and experimental validation.

Glioma stem cells (GSCs) drive tumor heterogeneity, therapy resistance, and immunosuppression. This study identified molecular subtypes of glioma base...

Mechanistic Understanding of Soil Arsenic Enrichment and Selenium Deficiency in the Qinghai-Tibet Plateau via Integrated Geographically Weighted Regression and Machine Learning.

The Qinghai-Tibet Plateau (QTP) is a representative alpine arid region characterized by arsenic (As) enrichment and selenium (Se) deficiency in soils....

Molecular Characterization and Immune Modulation of Schwann Cells in Vestibular Schwannoma.

Vestibular schwannoma (VS) is a benign tumor originating from the vestibular nerve, and its complex tumor microenvironment presents significant challe...

Can We Improve the Prediction of Early Onset Mania and Hypomania in the Community?

BACKGROUND: There is broad agreement that the onset of bipolar disorders (BD) can be predicted by using combined estimates of familial, genetic and cl...

Contrastive Learning-Powered Ultrafast Genome-Wide Virtual Screening: The Rise of DrugCLIP.

Virtual screening (VS) stands as a cornerstone of early-stage drug discovery, yet long-standing hurdles-including prohibitive computational cost and l...

Deep mutational scanning of SARS-CoV-2 nucleocapsid reveals regional stability patterns.

Point mutations within the SARS-CoV-2 nucleocapsid protein (NP) have the potential to impact not only detection but the viral life cycle, and therefor...

Persistent sheaf Laplacian analysis of protein stability and solubility changes upon mutation.

Genetic mutations frequently disrupt protein structure, stability, and solubility, acting as primary drivers for a wide spectrum of diseases. Despite ...

Multiancestry and Multitrait GWAS Meta-Analysis on Schizophrenia With a Sample of 322,321 Unveils Genetic Links to Chronic Lung Diseases.

Schizophrenia (SCZ) is a highly heritable psychiatric disorder, yet its genetic links with chronic pulmonary diseases remain poorly defined. Such link...

Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole-Blood Transcriptome in Primary Biliary Cholangitis.

BACKGROUND AND AIMS: Prognostic biomarkers that link disease progression and/or responses to therapeutic interventions in patients with primary biliar...

Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning.

Deep mutational scanning (DMS) has proven effective for mapping protein-protein interactions (PPIs), but it cannot provide complete coverage of the mu...

CT radiomics for noninvasive prediction of histologic differentiation in gastric cancer.

BACKGROUND: The histological differentiation grade of gastric cancer critically influences treatment and prognosis. While CT radiomics shows promise f...

ATF4, ZIK1, and PNMA3 Transcriptomic Signatures Predict Chemoradiotherapy Response in Cervical Cancer.

BACKGROUND: Cervical cancer (CC) is a main malignancy affecting women globally, with a high mortality rate. Chemoradiotherapy resistance is a signific...

RCSB protein data Bank: Next-generation advanced search for exploration of experimental structures and computed structure models.

The Protein Data Bank (PDB), established in 1971, is the primary global, open-access archive for experimentally determined 3D macromolecular structure...