NExTLi is a proposed national research infrastructure, currently under review within the NWO RI programme

NExTLi

The National Expert Center for Translational Lipidomics

A coordinated Dutch research infrastructure for mechanistic lipid biology — integrating high-resolution structural lipidomics, spatially informed sampling, and tracer-based metabolic flux analysis within a single, expert-guided workflow. NExTLi enables lipid composition, organization, and metabolism to be studied with molecular specificity, spatial context, and dynamic resolution, supported by FAIR-by-design data delivery. The figure below illustrates how a tissue sample moves through the NExTLi workflow from imaging-guided region selection to molecularly resolved lipid profiles.

What NExTLi enables

  • Structural and isomer-resolved lipidomics
  • Low-input and single-cell/small-cell-population workflows
  • Spatially informed lipidomics (imaging/MSI-guided)
  • Tracer-based lipid fluxomics
  • FAIR data delivery via the NExTLi Data & Analysis Portal
NExTLi spatially informed lipidomics workflow: from tissue sample through multimodal imaging and region selection to single-cell isolation, lipid extraction, nano-LC, and high-resolution Orbitrap MS, integrated through the FAIR Data and Analysis Portal
Spatially informed lipidomics. Multimodal tissue imaging guides region and cell-population selection for single-cell isolation and in-depth lipidomics by nano-LC–Orbitrap MS. Molecularly resolved lipid profiles are integrated with spatial context through the NExTLi Data & Analysis Portal. Created with BioRender.com

Why NExTLi

Lipid biology is central to health and disease but remains underexplored at a mechanistic level. Existing facilities generally support lipid profiling, but not the integrated structural characterization, spatial anchoring, and metabolic tracing required for mechanistic insight. A national landscape survey among 160 lipid researchers across Dutch academic centers confirmed strong demand (93%) for a dedicated national lipidomics infrastructure. NExTLi addresses this gap by combining these capabilities within a single coordinated workflow, with standardized QC and expert-supported interpretation.

How it works

  • Intake: research question, samples, constraints, desired outputs
  • Expert-guided experimental design and feasibility assessment
  • Standardized sample processing, measurement, and QC
  • Expert-supported data analysis and biological interpretation
  • FAIR-by-design data packaging via the NExTLi Data & Analysis Portal

Three capability nodes

NExTLi is organized into three coordinated capability nodes that together cover the full analytical chain — from spatially defined sample preparation through in-depth molecular analysis to FAIR data integration. The tracer-based lipidomics workflow, illustrated below the node overview, shows how stable isotope labeling connects biological systems to pathway-level lipid dynamics.

Sample workflow & preparation

Spatially informed sampling, imaging-guided region selection, laser microdissection, and standardized low-input sample preparation. Connecting tissue architecture and cellular context to downstream molecular analysis.

Advanced lipidomics & fluxomics

High-resolution structural lipidomics, isomer resolution, and tracer-based metabolic flux analysis using next-generation nano-LC–MS/MS platforms. Molecular specificity from bulk samples to single-cell-scale material.

Data integration & analysis

FAIR-by-design data management, lipid-specific annotation and interpretation, statistical analysis, and the NExTLi Data & Analysis Portal — supporting reproducible workflows and interoperability with national data infrastructures.

Tracer-based lipidomics: stable isotope labeling of lipid head groups, backbones, and acyl chains enables moiety-specific incorporation and quantitative pathway-level metabolic analysis by high-resolution mass spectrometry
Tracer-based lipidomics. Stable isotope-labeled precursors are incorporated into defined lipid moieties — head group, backbone, or acyl chains — across diverse biological systems. Moiety-specific isotopologue patterns are quantified by high-resolution MS, enabling assessment of lipid synthesis, remodeling, and pathway activity beyond static abundance measurements. Created with BioRender.com

The figure below shows a proof-of-principle demonstration of the NExTLi spatial and structural lipidomics workflow. Liver tissue from a genetically defined metabolic disease model was sampled at ~25-cell resolution using laser microdissection, followed by nano-LC–MS/MS analysis. The resulting phosphatidylcholine profile (b) reproduces the same lipid remodeling signature previously observed in bulk liver homogenates — demonstrating that defined lipid phenotypes can be resolved at near single-cell scale. High-resolution MS/MS fragmentation (c) then resolves the specific molecular species driving that signature, identifying incorporation of the branched-chain fatty acid phytanic acid into a phosphatidylcholine species at full structural annotation level.

Proof-of-principle spatial lipidomics: laser microdissection of 25-cell liver regions followed by nano-LC–MS/MS, showing lipid remodeling detection and structural identification of individual lipid molecular species
Proof-of-principle: from spatial sampling to structural lipid identification. (a) Laser microdissection of ~25-cell liver regions followed by nano-LC–MS/MS. (b) Phosphatidylcholine remodeling resolved at near single-cell scale from microdissected regions. (c) Structural MS/MS fragmentation identifies individual molecular lipid species beyond sum composition, including incorporation of branched-chain fatty acids. Created with BioRender.com

NExTLi is designed for interoperability with national research infrastructures including NL-BioImaging, X-omics, and Health-RI, and aligns with international standards through the Lipidomics Standards Initiative and ELIXIR.