Read the full paper: Multiomic crosstalk between plasma metabolites and inflammation in IBD via MR and mouse validation

New England Biolabs (NEB) showcases innovative solutions in cfDNA and cfRNA profiling during the AMP 2026 Annual Meeting in Seattle, emphasizing support for molecular diagnostics.

DynaVelo integrates single-cell omics data to infer cell state dynamics and regulatory interactions.

Parse, Nomic Join Growing Data Business Trend With Multiomic Immune Database

AbstractMicroglial inflammatory activation is accompanied by extensive molecular remodeling, yet proteomic, lipidomic, and metabolomic responses are often analyzed independently. Here, we applied a mass spectrometry-based multiomic workflow to characterize proteomic, lipidomic, and polar metabolomic remodeling from matched biological replicates of immortalized murine BV-2 microglial cells following stimulation with interferon-γ (IFN-γ) and lipopolysaccharide (LPS). Pro-inflammatory activation was confirmed by increased nitrite accumulation, elevated TNF-α and IL-6 secretion, and treatment-associated morphological changes. Discovery proteomics quantified 8,676 proteins and identified 562 significantly altered proteins, including 344 increased and 218 decreased proteins. Increased proteins were enriched for interferon-responsive, innate immune, inflammatory effector, and antigen-associated pathways, whereas decreased proteins were associated with cellular organization, protein biogenesis, vesicular trafficking, and metabolic regulation. Targeted lipidomics identified 237 significantly altered lipids, including increased triacylglycerols and diacylglycerols and broad remodeling of glycerophospholipids, lysophospholipids, and sphingolipid-related species. Targeted polar metabolomics identified 75 significantly altered metabolites, including changes in nucleotide/NAD-related metabolism, amino acid metabolism, methylation-associated metabolites, acylcarnitine abundance, phospholipid precursors, polyamine metabolism, arginine/nitric oxide-associated metabolism, and redox-associated metabolites. Process-level integration of significant features revealed coordinated remodeling of inflammatory protein programs with lipid storage, membrane remodeling, nucleotide metabolism, amino acid availability, phospholipid precursor abundance, nitric oxide-associated metabolism, and redox/osmolyte pathways. These findings demonstrate that IFN-γ and LPS-induced activation of BV-2 cells involves complementary immune, lipid, and metabolic adaptation rather than isolated induction of canonical inflammatory mediators. This multiomic framework provides a resource for investigating how lipid and metabolic remodeling regulate microglial inflammatory states.

The heterogeneity of Alzheimer's disease (AD) is multi-dimensional, encompassing clinical features such as neuropsychiatric symptoms (NPS), rate of progression, age of onset, comorbidities, and neur...

Diabetic peripheral neuropathy (DPN) affects up to half of people with diabetes and lacks disease-modifying therapy. Here, we profiled MSC-EV biodistribution and multiomic programs across diabetic mod...

Oligonucleotide-mediated proximity-interactome MAPping (O-MAP) enables precise multiomic characterization of biomolecular interaction networks at target RNAs. Distinct O-MAP workflows reveal RNA-adjacent proteins, transcripts and genomic loci.

Microsatellite-stable (MSS) colorectal cancer (CRC) is a molecularly complex and clinically challenging disease subtype, lacking effective targeted th…

DynaVelo integrates single-cell omics data to infer cell state dynamics and regulatory interactions.

The biosphere transmits data 9 orders of magnitude faster than the technosphere. A new class of nanophotonic tools is beginning to close that gap. In this webinar, Prof. Dionne will present VINPix: Si-photonic resonators with high-Q factors (thousands to millions), subwavelength mode volumes, and densities exceeding 10M/cm². Combined with acoustic bioprinting and AI, they may enable detection of multiomic signatures — genes, proteins, and metabolites on a single chip — at previously unattainable rates, opening new possibilities for molecular communication systems and biochemical sensing for health and sustainability. Key Takeaway: Single-chip multiomics — VINPix arrays plus AI for simultaneous gene, protein, and metabolite detectionField-deployed biosensing — integrated with Monterey Bay Aquarium Research Institute (MBARI) autonomous underwater robots for ocean biochemical monitoringPeptide & glyco-conjugate sequencing — major histocompatibility complex (MHC)-tethered peptides, dynamic Raman spectroscopy, and computational metadynamics to identify previously unseen molecular speciesTumor microenvironment profiling — subcellular prediction of drug resistance, macrophage polarization, and T-cell activation states Register now for this free webinar!

Dustyn Levenson, an M.D./Ph.D. student at the Wayne State University School of Medicine, is the lead author of “A multiomic atlas reveals distinct immune landscapes in preterm and term chronic p...

A team from the Institute for Neurosciences (IN), a joint center of the Spanish National Research Council (CSIC) and Miguel Hernández University of Elche (UMH), has developed the first multiomic atlas of the mouse embryonic thalamus, providing a detailed reconstruction of how the different neuronal cell types in this brain region emerge during development.