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.
Using cell-specific late-phase asthma mRNA biomarkers to repurpose drugs that concurrently reverse disease signatures across multiple immune cell-types
The allergeninduced latephase asthmatic response LAR is used to study the mechanisms and treatment of asthma We hypothesized that geneexpression mRNA biomarkers of the LAR may
Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models
Lung cancer LC is one of the most prevalent and deadly cancers globally presenting a major public health challenge Patients with chronic obstructive pulmonary disease COPD and idiopathic pulmonary fibrosis
Evolutionary turnover of key amino acids explains conservation of function without conservation of sequence in transcriptional activation domains
In folded protein domains protein function is frequently more conserved than amino acid sequence because highly diverged sequences can fold into equivalent D structures with identical function
Class switching toward IgG4 six months after primary mRNA-based COVID-19 vaccination in kidney patients
Class switching toward spike Sbinding IgG antibodies after mRNAbased COVID vaccination has been observed an antibody subclass with strong neutralizing but limited effector activity
Visual perturbation training to reduce visual dependency in Parkinson’s disease: A randomized controlled trial
Decreased gait automaticity and increased visual dependency are important contributors to falls in people with Parkinsons disease
Assessment of dispersion metrics for estimating single-cell transcriptional variability
Singlecell RNA sequencing data enables analysis of transcript levels of single cells across different cell types and conditions Recent work has highlighted the value of measuring genespecific transcriptional variability
Controllable protein design via autoregressive direct coupling analysis conditioned on principal components
We present FeatureDCA a statistical framework for protein sequence modeling and generation that extends Direct Coupling Analysis DCA
A novel transformer-based platform for the prediction and design of biosynthetic gene clusters for (un)natural products
Biosynthetic gene clusters BGCs comprising sets of functionally related genes responsible for synthesizing complex natural products are a rich source of bioactive compounds with pharmaceutical potential
The RPA-binding domain and the KKRK motif in Rad26ATRIP cooperate at the perturbed DNA replication fork for initiating checkpoint signaling
Rad is the homolog of human ATRIP and budding yeast Ddc in Schizosaccharomyces pombe Like ATRIP and Ddc Rad works with RadATRMec to initiate checkpoint signalling
A live cell biosensor protocol for high-resolution screening of therapy-resistant cancer cells
The Genetically Encoded Death Indicator GEDI is a ratiometric dualfluorescence biosensor that enables realtime detection of cell death through calcium influx Originally developed for use in neurodegeneration models
