Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Peak quantification in surface-enhanced laser desorption/ionization by using mixture models.

Martijn Dijkstra1, Han Roelofsen, Roel J Vonk

  • 1Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands. m.dijkstra@rug.nl

Proteomics
|September 7, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Improved Systemic Immunochemotherapy Employing an Oxaliplatin-TLR7/8 Agonist Prodrug Strategy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Albumin-targeted oxaliplatin(iv) prodrugs bearing STING agonists.

Inorganic chemistry frontiers·2025
Same author

Novel Maleimide Linkers Based on a Piperazine Motif for Strongly Increased Aqueous Solubility.

ACS omega·2025
Same author

Exploring the Structure-Activity Relationships of Albumin-Targeted Picoplatin-Based Platinum(IV) Prodrugs.

Inorganic chemistry·2025
Same author

A view from the clinic - Perspectives from Dutch patients and professionals on high myopia care.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)·2023
Same author

Palladium-Catalyzed Cascade to Benzoxepins by Using Vinyl-Substituted Donor-Acceptor Cyclopropanes.

Angewandte Chemie (International ed. in English)·2021
Same journal

Identification of Novel Interacting Proteins of FUZ and GPR161.

Proteomics·2026
Same journal

Light-Induced Proteomic Changes in Pseudomonas aeruginosa Biofilms.

Proteomics·2026
Same journal

Decade-Resolved Proteomic Profiling of Gastric Cancer FFPE Archives: Evaluating Storage-Associated Shifts and Signal Stability Over 50 Years.

Proteomics·2026
Same journal

Proteome-Scale Mining of Metal-Associated Proteins of Monkeypox Virus.

Proteomics·2026
Same journal

Optimized Sample Handling Minimizes Peptide Adsorption to Plastics to Enable High Sensitivity Evosep Based Chemical Proteomics.

Proteomics·2026
Same journal

Toward Predicting Pandemic Potential: A Comparative Analysis of Virus-Host Interactions Between Diverse Influenza A Viruses and the Human Innate Immune System.

Proteomics·2026
See all related articles

This study introduces a new statistical method for accurately quantifying protein peaks in Surface-Enhanced Laser Desorption/Ionization (SELDI) mass spectrometry data, improving biomarker discovery.

Area of Science:

  • Biochemistry
  • Analytical Chemistry
  • Biotechnology

Background:

  • Surface-enhanced laser desorption/ionization (SELDI) time-of-flight (TOF) mass spectrometry is crucial for analyzing protein mixtures.
  • Accurate quantification of protein peaks in SELDI-TOF spectra is challenging due to variable peak shapes and overlaps.
  • Existing methods struggle with precise peak area measurements, impacting downstream analyses.

Purpose of the Study:

  • To develop and validate a novel statistical method for robust peak quantification in SELDI-TOF mass spectrometry.
  • To compare the performance of the new method against the standard Ciphergen method for protein peak analysis.
  • To enhance the accuracy of pre-processing SELDI-TOF data for improved biomarker discovery.

Main Methods:

  • A new method utilizing statistical finite mixture models to decompose SELDI-TOF spectra into peaks and baseline.

Related Experiment Videos

  • Detailed illustration and comparison using 8 adipose tissue culture media samples.
  • Global analysis and comparison with the Ciphergen method on 64 serum samples.

    • Main Results:

    • The proposed method accurately quantifies singleton peaks, comparable to the Ciphergen method.
    • Significant discrepancies were observed for overlapping peaks, with the Ciphergen method overestimating peak heights.
    • The new statistical approach provides more appropriate estimates for overlapping peaks in SELDI-TOF data.

    Conclusions:

    • The developed statistical finite mixture model offers a more accurate approach to peak quantification in SELDI-TOF mass spectrometry.
    • Improved peak quantification, especially for overlapping peaks, is vital for reliable pre-processing of SELDI-TOF data.
    • This advancement is expected to enhance the efficiency and reliability of the biomarker discovery phase in proteomics research.