TOOLS FOR MASS SPECTROMETRY - PROTEOMICS AND METABOLOMICS

Brochures and specifications | 2016 | MerckInstrumentation
SPME, Sample Preparation, Consumables, LC columns
Industries
Proteomics , Metabolomics
Manufacturer
Merck

Significance of the Topic


The integration of proteomics and metabolomics workflows with advanced mass spectrometry techniques has become essential for biomarker discovery, drug development, and systems biology. Comprehensive sample preparation, labeling, separation, and data analysis tools are critical to probing complex biological matrices and obtaining reliable qualitative and quantitative information.

Objectives and Overview of the Article


This overview highlights a broad portfolio of reagents, kits, and consumables designed to support mass spectrometry workflows in proteomic and metabolomic research. It describes key steps from sample preparation and enrichment to chromatographic separation, detection, and data quality control.

Methodology and Instrumentation Used


• Sample preparation techniques including protein depletion, cell lysis, and solid-phase extraction (SPE) for metabolites and lipids
• Metabolic and chemical labeling strategies (e.g., SILAC, 18O enzymatic labeling, isobaric tags) for quantitative proteomics
• Chromatographic platforms: LC-MS, UHPLC with fused-core columns, MALDI-MS, GC-MS
• Quality control standards: intact protein and peptide calibrants, retention time mixes, universal proteomics standards
• Data resources and bioinformatics: METLIN metabolite database, MSMLS library

Main Results and Discussion


The product portfolio addresses all major workflow stages:
  • Proteomic Tools: depletion media, proteases, labeling reagents, peptide standards, antibody standards
  • Metabolomic Tools: metabolite libraries, SPE phases, hybrid SPE for phospholipid removal, MIP-based selective extraction
  • Chromatography Columns: (U)HPLC columns with fused-core and fully porous chemistries; gel filtration and ion-exchange columns for intact protein analysis
  • Derivatization Agents: silylation and acylation reagents tailored for GC-MS metabolite profiling
  • Databases and Software: METLIN MS/MS spectra for tens of thousands of metabolites; MSMLS Discovery software for standard library management

Benefits and Practical Applications of the Method


  • Enhanced sensitivity and reproducibility in quantitative workflows
  • Streamlined sample cleanup reduces ion–suppression and improves detection limits
  • Multiplexed labeling and calibrants support absolute and relative quantitation
  • High-throughput platforms enable large-scale biomarker screening
  • Comprehensive support from small molecule to intact protein analysis

Instrumentation Used


Mass spectrometry platforms: ESI-LC-MS/MS, MALDI-TOF/TOF, GC-MS, Q-TOF, triple quadrupole, and high-resolution Orbitrap systems.

Future Trends and Opportunities


  • Integration of multi-omics data and machine-learning for deeper biological insights
  • Miniaturized and automated workflows for single-cell and microfluidic applications
  • Expansion of spectral libraries and in silico prediction tools
  • Advances in real-time and imaging mass spectrometry for spatial metabolomics/proteomics

Conclusion


A fully integrated suite of tools and standards, combined with robust instrument platforms and data resources, enables researchers to tackle complex proteomic and metabolomic challenges with confidence and reproducibility.

References


  • Johnson K.L., Muddiman D.C. J. Am. Soc. Mass Spectrom. 2004, 15, 437–445.
  • Fenselau C. J. Chromatogr. B. 2007, 855, 14–20.
  • Wang J., et al. J. Proteome Res. 2007, 6, 4601–4607.
  • Lane C.S., et al. Mol. Cell Proteomics 2007, 6, 953–962.
  • Ciccimaro E., Blair I.A. Bioanalysis 2010, 2(2), 311–341.
  • Smith C.A., et al. Ther. Drug Monit. 2005, 27(6), 747–751.
  • Patti G.J., et al. Nat. Biotechnol. 2012, 30, 826–828.

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