Research Insights
The Research Insights area highlights recent advances in science and medicine as well as global laboratory research. Our readers gain tremendous benefit from research discoveries in an indirect manner.
Integrative multi-omics framework for causal gene discovery in Long COVID
Long COVID or PostAcute Sequelae of SARSCoV infection PASC affects an estimated of COVID patients and presents persistent multisystemic symptoms Although demographic and clinical factors
Systematic computational assessment of atrial function impairment due to fibrotic remodeling in electromechanical properties
Cardiac fibrosis is a pathological condition associated with many cardiovascular diseases Atrial fibrosis leads to reduced atrial function resulting in diminished blood flow and an increased risk of stroke
Modelling transcription with explainable AI uncovers context-specific epigenetic gene regulation at promoters and gene bodies
Transcriptional regulation involves complex interactions with chromatinassociated proteins but disentangling these mechanistically remains challenging Here we generate deep learning models to predict RNA PolII occupancy
Discovery of C-12 dithiocarbamate andrographolide analogue as a novel antioxidant and α-glucosidase inhibitors: In vitro and in silico studies
Type diabetes mellitus TDM is a global health issue associated with oxidative stress inflammation and insulin resistance Even though glucosidase inhibitors such as acarbose are used in treatment their efficacy is limited by gastrointestinal side effects In this study
Complete molecular spectrum of β-globin gene mutations via direct sequencing identifies seven novel variants in β-thalassemia major
A common monogenic condition thalassemia is caused by a variety of mutations in the globin HBB gene It is essential to accurately characterize these mutations for genetic counselling diagnosis and treatment
Optimization-based framework with flux balance analysis (FBA) and metabolic pathway analysis (MPA) for identifying metabolic objective functions
Metabolic network modeling especially Flux Balance Analysis FBA plays a critical role in systems biology by providing insights into cellular behaviors Although FBA is the main tool for predicting flux distributions
Stabilized marker gene identification and functional annotation from single-cell transcriptomic data
With the rapid emergence of singlecell transcriptomics datasets reproducible marker genes and functional annotation of cell type or state is becoming increasingly important Conventional methods
Preparation, characterization and in vitro evaluation of atorvastatin nanosuspensions
Poorly watersoluble drugs present a significant challenge for pharmaceutical development particularly affecting the pharmacokinetics of orally administered drugs due to their poor dissolution
Understanding and mitigating the impact of ambient mRNA contamination in single-cell RNA-sequencing analysis
Dropletbased singlecell RNA sequencing scRNAseq frequently encounters significant challenges from contamination of cellfree mRNAs known as ambient mRNAs which can substantially distort singlecell transcriptome
Uncovering key biomarkers, potential therapeutic targets and development of deep learning model in heart failure
Heart failure HF represents a significant public health concern characterized by elevated rates of mortality and morbidity Recent advancements in gene sequencing technologies have led to the identification of numerous genes associated
