Research Insights
Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.
Unknotting RNA: A Method to Resolve Computational Artifacts
To summarize the existing evidence from doubleblind randomized controlled trials RCTs and cohort studies regarding the effects of biologic agents for the treatment of large vessel vasculitis
Identification of Potential Biomarkers for Lung Cancer Using Integrated Bioinformatics and Machine Learning Approaches
Lung cancer is one of the most common cancer and the leading cause of cancerrelated death worldwide Early detection of lung cancer can help reduce the death rate therefore the identification of potential biomarkers is crucial Thus this study aimed to identify potential biomarkers for lung cancer by integrating bioinformatics analysis and machine le...
mRNA Stability Fine-tunes Gene Expression in the Developing Cortex to Control Neurogenesis
RNA abundance is controlled by rates of synthesis and degradation Although misregulation of RNA turnover is linked to neurodevelopmental disorders how it contributes to cortical development is largely unknown Here we discover the landscape of RNA stability regulation in the cerebral cortex and demonstrate that intact RNA decay machinery is essentia...
Biologic Therapies for the Treatment of Large Vessel Vasculitis: A Systematic Review and Meta-analysis
To summarize the existing evidence from doubleblind randomized controlled trials RCTs and cohort studies regarding the effects of biologic agents for the treatment of large vessel vasculitis Large vessel vasculitis LVV is vasculitis with aorta and major branches involved including two main subtypes
Emergence of SARS-CoV-2 Subgenomic RNAs that Enhance Viral Fitness and Immune Evasion
Coronaviruses express their structural and accessory genes via a set of subgenomic RNAs whose synthesis is directed by transcription regulatory sequences TRSs in the genomic leader and upstream of each body open reading frame In SARSCoV the TRS has the consensus AAACGAAC upon searching for emergence of this motif in the global SARSCoV sequences we...
Enhancing Vaccine Half-life as a Novel Strategy for Improving Immune Response Durability of Subunit Vaccines
Vaccines are widely regarded as one of the most effective strategies for combating infectious diseases However significant challenges remain such as insufficient antibody levels limited protection against rapidly evolving variants and poor immune durability particularly in subunit vaccines likely due to their short in vivo exposure
Data-driven Model Discovery and Model Selection for Noisy Biological Systems
Biological systems exhibit complex dynamics that differential equations can often adeptly represent Ordinary differential equation models are widespread until recently their construction has required extensive prior knowledge of the system Machine learning methods offer alternative means of model construction
Data-driven Discovery and Parameter Estimation of Mathematical Models in Biological Pattern Formation
Mathematical modeling has been utilized to explain biological pattern formation but the selections of models and parameters have been made empirically In the present study we propose a datadriven approach to validate the applicability of mathematical models
Mapping Genes for Human Face Shape: Exploration of Univariate Phenotyping Strategies
Human facial shape while strongly heritable involves both genetic and structural complexity necessitating precise phenotyping for accurate assessment Common phenotyping strategies include simplifying D facial features into univariate traits such as anthropometric measurements eg interlandmark distances unsupervised dimensionality reductions eg prin...
How Fast are Viruses Spreading in the Wild?
Genomic data collected from viral outbreaks can be exploited to reconstruct the dispersal history of viral lineages in a twodimensional space using continuous phylogeographic inference These spatially explicit reconstructions can subsequently be used to estimate dispersal metrics that can be informative of the dispersal dynamics and the capacity to...
