Genetics

Interferon gamma-induced hub genes and key pathways: A study based on biological network analysis and experimental validation.

By performing a biological network analysis, we identified some hub genes, which were up- or down-regulated in the breast cancer (BC) cell line after treatment with IFN-γ. Moreover, several pathways including cytokine-cytokine receptor interaction, TNF signaling pathway, NOD-like receptor signaling pathway, and NF-κB signaling pathway were detected that their activation leads to the antiproliferat...

EBV-DNA load: A predictor of immune and hepatic dysfunction in pediatric infectious mononucleosis.

Epstein-Barr virus (EBV)-induced infectious mononucleosis (IM) is a prevalent pediatric condition with diverse clinical manifestations. This study aimed to investigate the relationship between EBV-DNA load, lymphocyte subsets, serum biomarkers, and hepatic dysfunction in pediatric IM. A retrospective analysis was conducted on 318 pediatric IM patients admitted between January 2022 and July 2024. B...

Using N-Nitrosodiethanolamine (NDELA) and N-Nitrosopiperidine (NPIP) Transgenic Rodent Gene Mutation Data and Quantum Mechanical Modeling to Derive Potency-Based Acceptable Intakes for NDSRIs Lacking Robust Carcinogenicity Data.

Acceptable intake (AI) limits for nitrosamine drug substance related impurities (NDSRIs) that lack carcinogenicity data could be estimated from mutage...

Predicting the outcome of psychological treatments for borderline personality disorder and posttraumatic stress disorder: a machine learning approach to predict long-term outcome of Narrative Exposure Therapy vs. Dialectical Behavioral Therapy based treatment.

: A comorbidity between Borderline Personality Disorder (BPD) and Posttraumatic Stress Disorder (PTSD) is common, severely disabling, and hard to trea...

Unsupervised feature selection with evolutionary sparsity.

The ℓ-norm is playing an increasingly important role in unsupervised feature selection. However, existing algorithm for optimization problem with ℓ-no...

Loop Nucleotide Chemical Shifts as a Tool to Characterize DNA G-Quadruplexes.

DNA G-quadruplexes are known to play myriad functional roles in the cellular context and their structural diversity has diverse applications in variou...

A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zoonotic diseases. This mechanism involves multi-lev...

Predictive biophysical neural network modeling of a compendium of in vivo transcription factor DNA binding profiles for Escherichia coli.

The DNA binding of most Escherichia coli Transcription Factors (TFs) has not been comprehensively mapped, and few have models that can quantitatively ...

Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation.

The rapid evolution of deep learning has dramatically enhanced the field of medical image segmentation, leading to the development of models with unpr...

Leafing a mark on immunity: Quercetin-3-O-D-glucopyranoside and quercetin-3-O-(2″,6″-digalloyl)-β-D-galactopyranoside-rich Melia azedarach L. extract's immunoinflammatory effects on an sRBC-immunized BALB/c model.

Melia azedarach L. (Meliaceae) (MA) leaves are traditionally used for inflammatory disorders, yet their immunomodulatory effects on lymphocytes remain...

Technical validation of a multiplex real-time PCR for combined detection of Rift Valley fever, chikungunya, Zika and dengue viruses.

Several arthropod-borne (arbo)-viruses have overlapping symptoms, insect vectors and geographical occurrence. With little known about the importance o...

Surgery scheduling based on large language models.

Large Language Models (LLMs) have shown remarkable potential in various fields. This study explores their application in solving multi-objective combi...

De Novo Reconstruction of 3D Human Facial Images from DNA Sequence.

Facial morphology is a distinctive biometric marker, offering invaluable insights into personal identity, especially in forensic science. In the conte...

A KAN-based hybrid deep neural networks for accurate identification of transcription factor binding sites.

BACKGROUND: Predicting protein-DNA binding sites in vivo is a challenging but urgent task in many fields such as drug design and development. Most pro...

Challenges on the implementation of wastewater-based epidemiology as a prediction tool: the paradigm of SARS-CoV-2.

Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patterns of SARS-CoV-2 in communities. Several factors...

Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus erythematosus.

Evidence indicates a connection between periodontitis (PD) and systemic lupus erythematosus (SLE), though the underlying co-morbid mechanisms remain u...

Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.

Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence rates, especially in pediatric patients, highlighti...

Integrative bioinformatics and machine learning identify key crosstalk genes and immune interactions in head and neck cancer and Hodgkin lymphoma.

Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive malignancy with complex molecular underpinnings. Hodgkin lymphoma (HL), another d...

Identification of Npas4 as a biomarker for CICI by transcriptomics combined with bioinformatics and machine learning approaches.

Chemotherapy is one of the most successful strategies for treating cancer. Unfortunately, up to 70 % of cancer survivors develop cognitive impairment ...

Assessment of Bacillus cereus spoilage potential and the antibacterial mechanism of Larimichthys crocea-derived peptide SDH73 against Bacillus cereus.

This study investigated the spoilage bacteria associated with Larimichthys crocea (L. crocea) and the potential inhibitory effects of a derived peptid...