The Lucid Proteomics System for top-down biomarker research

Arch Physiol Biochem. 2010 Oct-Dec;116(4-5):158-62. doi: 10.3109/13813455.2010.485206. Epub 2010 May 28.

Abstract

Advances have been made in recent years for both "top-down" and "bottom-up" profiling approaches to biomarker discovery. Top-down protein profiling via SELDI-TOF mass spectrometry has been used by researchers in many fields of study to discover native protein biomarker candidates from a variety of sample types, but has been limited without a means for straightforward identification of these candidates. Bio-Rad has recently partnered with Bruker Daltonics to create the Lucid Proteomics System, a complete SELDI-based research workflow--system qualification, biomarker discovery, data analysis, and biomarker purification/identification--using Bruker's flex series of TOF and TOF/TOF mass spectrometers, which have long provided consistent performance and high value data for MALDI applications. This collaboration enables both top-down and bottom-up proteomics approaches on a single high performance MALDI-TOF MS platform for maximum coverage of the proteome--allowing greater flexibility with experimental design and accelerating biomarker research programmes.

Publication types

  • Review

MeSH terms

  • Algorithms
  • Biomarkers* / analysis
  • Biomarkers* / chemistry
  • Chromatography, Liquid
  • Electrophoresis, Gel, Two-Dimensional
  • High-Throughput Screening Assays* / instrumentation
  • High-Throughput Screening Assays* / methods
  • Humans
  • Peptide Fragments / analysis
  • Protein Array Analysis / instrumentation*
  • Protein Array Analysis / methods*
  • Proteins* / analysis
  • Proteins* / chemistry
  • Proteomics* / methods
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / instrumentation*
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods*
  • Statistics as Topic

Substances

  • Biomarkers
  • Peptide Fragments
  • Proteins