Genetics

Africa's emerging role in precision oncology: translational insights from the harnessing functional genomics in cancer research conference, Windhoek, 23-26 September 2025.

PURPOSE: Africa is entering a new era of cancer research, driven by renewed commitments to genomic innovation, data equity, and strengthened cancer registry systems. The "Harnessing Functional Genomics in Cancer Research: Opportunities for Diagnosis and Treatment" conference, held in Windhoek, Namibia, from 23 to 26 September 2025, convened leading experts to evaluate current progress and identify...

Bisphenol A exposure in myasthenia gravis: Potential targets and mechanisms revealed by network toxicology and molecular dynamics.

BACKGROUND: Myasthenia gravis (MG) is a B-cell-mediated autoimmune disease characterized by impaired neuromuscular transmission. Although genetic predisposition and thymic abnormalities are well recognized, they cannot fully explain the increasing incidence and regional heterogeneity of MG, highlighting the potential contribution of environmental factors. Bisphenol A (BPA), a ubiquitous endocrine-...

Cross-modal mapping of cancer stem-like cell plasticity using deep learning.

Cancer stem-like cells (CSCs) play a pivotal role in driving tumor heterogeneity, therapeutic resistance, and disease progression. Despite the power o...

Discovery of a phenazine-thiol conjugase from sparse data using genome-informed machine learning.

Machine learning has enabled powerful biological discoveries using models trained on large datasets. However, for many important biological questions,...

Recent advances in nanozyme assisted miRNA biosensing for disease diagnosis.

MiRNAs have emerged as key biomarkers for early disease detection and therapeutic monitoring; yet, their ultrasensitive and specific detection confron...

Recent progress in clinical and molecular biological research in rectal serrated lesions.

Colorectal cancer ranks among the most common malignancies worldwide. Rectal serrated lesions represent a significant precancerous condition, accounti...

NeuroOmics-Net: An interpretable multimodal deep learning framework for Alzheimer's disease diagnosis and progression prediction using neuroimaging, EEG, and genomic data.

Accurate diagnosis and progression prediction of Alzheimer's disease (AD) remain challenging due to the heterogeneous nature of the disease, which inv...

DNA methylation profiling enables subclassification of mucinous ovarian carcinoma and distinguishes it from extraovarian mucinous metastases.

Mucinous ovarian carcinoma (MOC) is an epithelial ovarian cancer subtype that is frequently misclassified as extraovarian mucinous metastasis (EOM) be...

AI-driven discovery of multifunctional peptides: From sequence space to therapeutics.

Multifunctional peptides (MFPs), defined as single peptide sequences endowed with two or more biological activities, have emerged as a highly promisin...

Tumour cell density quantified by artificial intelligence is associated with differential benefit from irinotecan-based chemo-radiotherapy in locally advanced rectal cancer: a post-hoc study of the phase 3 ARISTOTLE trial.

BACKGROUND: Tumour cells and tumour-associated stroma are key components of the tumour microenvironment, and their interaction impacts disease progres...

Metabolic engineering strategies: utilizing different microbial strains and advanced technologies for the synthesis of high-valued terpenoids.

Terpenoids represent the largest and most structurally diverse class of secondary metabolites, with extensive applications in the pharmaceutical, nutr...

Toward generalizable and interpretable AI in regulatory genomics.

Deciphering how DNA sequence encodes gene regulation remains a central challenge in biology. Advances in machine learning and functional genomics have...

AI-integrated multi-omics platform to revolutionize anti-metastatic therapy development through circulating tumor cell profiling: SCRUM-MONSTAR-CTC.

BACKGROUND: Metastatic disease remains the leading cause of cancer-related death, yet most precision oncology strategies still emphasize profiling pri...

DisoPatho: A Cross-View Feature-Adaptive Interaction Encoding Framework for Predicting Disease-Associated Variants in Intrinsically Disordered Regions.

Accurate prediction of variants within intrinsically disordered regions (IDRs) is crucial for advancing disease diagnosis and biomedical interpretatio...

Haplotypes and Machine Learning Improve Genomic Prediction in Brassica napus.

Genomic selection (GS) is a crop and livestock improvement method suited for predicting complex agronomical traits, while genomic prediction (GP) is t...

Systematic Benchmarking of CRISPR-Cas9 Off-Target Prediction Tools Reveals Limitations and Implications for Preclinical Assessment.

Accurate identification of CRISPR-Cas9 off-target sites is essential for the safety assessment of genome-editing-based therapies. While numerous in si...

Extracellular Vesicles in Cancer: Biomarkers, Mechanisms, and Emerging Diagnostic Technologies.

Extracellular vesicles (EVs) are nanoscale, membrane-bound particles that transport diverse biomolecules-including proteins, nucleic acids, lipids, an...

Advances in engineering microalgae for heterologous terpenoid synthesis: A review.

Terpenoids are a class of natural products widely distributed in living organisms, with isoprene as their fundamental structural unit. However, tradit...

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but a...

Integrated multi-omics analysis suggests a potential mechanism of DEHP-induced monocyte infiltration in MASH via the FOS-CCL3/4 axis.

OBJECTIVE: Di-(2-ethylhexyl) phthalate (DEHP) is a widespread environmental obesogen; however, its immune-proinflammatory mechanisms in the progressio...