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Bruker timsTOF fleX - MALDI Guided SpatialOMx

Guides | 2020 | BrukerInstrumentation
Ion Mobility, MALDI, MS Imaging, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS
Industries
Clinical Research
Manufacturer
Bruker

Summary

Significance of the Topic


The tumor microenvironment represents a dynamic ecosystem where diverse cell types and molecular signals interact over time. Advanced spatial profiling methods, such as label-free MALDI imaging combined with multi-omics analyses, enable researchers to map distributions of lipids, metabolites, glycans and peptides without reliance on labels. This holistic view promises new insights into mechanisms of drug resistance, biomarker discovery and precision histopathology.

Objectives and Study Overview


This work introduces a guided SpatialOMx workflow on the timsTOF fleX platform that integrates high-resolution MALDI imaging with directed LC-MS/MS analyses. The aim is to harness MALDI-derived spatial intelligence to select regions of interest for subsequent multi-omics profiling, thereby maximizing cellular specificity and depth of molecular coverage.

Methodology and Instrumentation


The SpatialOMx approach proceeds in two main stages:
  • MALDI Imaging and ROI Selection
    • Acquire spatially resolved mass spectra (20 µm standard resolution, optional Zoom Mode 5–15 µm).
    • Use SCiLS Lab software to visualize ion distributions and define regions of interest.
  • LC-MS/MS Analysis of Selected Regions
    • Perform laser microdissection or on-tissue extraction of defined ROIs (~50 µm, ~25 cells).
    • Sample digestion and nano-LC separation (C18 column, 400 nL/min, 50 °C).
    • Detection using timsTOF fleX: trapped ion mobility spectrometry (TIMS) for ion separation and Parallel Accumulation Serial Fragmentation (PASEF) for rapid, sensitive MS/MS acquisition (100 ms scans, 10 PASEF ramps).

Main Results and Discussion


Using this workflow, more than 5 000 protein groups were reliably identified and quantified from as little as 240 ng of protein input within 90-minute gradients. Technical reproducibility was high, supporting label-free quantitation across biological replicates. Comparative analysis of tumor versus non-tumor mouse stomach tissue highlighted an enrichment of the minichromosome maintenance (MCM) complex in tumor samples, implicating its role in DNA replication and genomic instability. Integration with metabolite and lipid annotation via MetaboScape enabled automated identification of small molecules, further enriching spatialOMx datasets.
Post-ionization with MALDI-2 on the timsTOF fleX provided a 2–3 orders of magnitude sensitivity boost for classes prone to ion suppression, expanding detectable molecular species without hardware alterations.

Benefits and Practical Applications


This SpatialOMx strategy offers:
  • Label-free, multiplexed detection across multiple molecular classes.
  • Region-specific profiling to target biologically relevant microenvironments.
  • High spatial resolution combined with deep proteomic, metabolomic and lipidomic coverage.
  • Seamless software-controlled switching between MALDI imaging and ESI-based LC-MS/MS.
  • Applications in drug discovery, precision pathology and biomarker research.

Future Trends and Opportunities


Further development of SpatialOMx is expected to focus on automation of ROI transfer, enhanced annotation pipelines, and integration of MALDI-2 capabilities for deeper small-molecule coverage. Clinical translation may enable routine use in diagnostics, while coupling with other omics layers (transcriptomics, glycomics) could yield comprehensive 5D tissue maps.

Conclusion


The timsTOF fleX and SpatialOMx workflow deliver a unified solution for high-resolution molecular imaging and targeted multi-omics. By guiding deep LC-MS/MS analyses with MALDI-derived spatial intelligence, researchers can achieve both broad molecular coverage and precise cellular specificity, advancing studies in pathology, pharmacology and systems biology.

References


  • Karas M., Bachmann D., Bahr U. & Hillenkamp F. Matrix-assisted ultraviolet laser desorption of non-volatile compounds. Anal. Chem. 57 (1985) 2935–2939.
  • Soltwisch J., et al. Mass spectrometry imaging with laser-induced postionization. Science. 2015;348:211–215.
  • Barré F.P.Y., et al. Enhanced Sensitivity Using MALDI Imaging Coupled with Laser Postionization (MALDI-2) for Pharmaceutical Research. Anal. Chem. 2019;91:10840–10848.
  • Uhlén M., et al. Tissue-based map of the human proteome. Science. 2015;347(6220):1260419.

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