Background: Omics technologies represent a new analytical approach that allows a full
cellular readout through the simultaneous analysis of thousands of molecules. The …

Purpose of review To review recent studies using 'Omics' approaches (genomics,
proteomics, metabolomics, single cell analyses) in patient populations and animal models of …

Resolving chromatin-remodeling-linked gene expression changes at cell-type resolution is
important for understanding disease states. Here we describe MAGICAL (Multiome …

Mass spectrometry (MS) has become a powerful tool for metabolome, lipidome, and
proteome analyses. The efficient analysis of multi-omics in single cells, however, is still …

Examining the genetics of peanut allergy (PA) in the context of clinical trial interventions and
outcomes provides an opportunity to not only understand gene-environment interactions for …

Integrating multi-view information to gain a new understanding of complex disease like
Alzheimer's disease (AD) has great clinical value. Hypergraphs have unique advantages in …

Experimental models that capture the genetic complexity of human disease and allow
mechanistic explorations of the underlying cell, tissue, and organ interactions are crucial to …

In recent years, the emergence and development of single-cell sequencing technologies
have provided unprecedented opportunities to analyze deoxyribonucleic acid, ribonucleic …

A gap currently exists between genetic variants and the underlying cell and tissue biology of
a trait, and expression quantitative trait loci (eQTL) studies provide important information to …

Pulmonary arterial hypertension (PAH) is a multifactorial disease associated with the
remodeling of pulmonary blood vessels. If left unaddressed, PAH can lead to right heart …