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

Improving mass spectrometry peak detection using multiple peak alignment results.

Weichaun Yu1, Zengyou He, Junfeng Liu

  • 1Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China. eeyu@ust.hk

Journal of Proteome Research
|November 23, 2007
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

Understanding the determinants of public trust in the health care system in China: an analysis of a cross-sectional survey.

Journal of health services research & policy·2018
Same author

Adverse Childhood Experiences, Epigenetic Measures, and Obesity in Youth.

The Journal of pediatrics·2018
Same author

Regularized Latent Class Model for Joint Analysis of High-Dimensional Longitudinal Biomarkers and a Time-to-Event Outcome.

Biometrics·2018
Same author

LncRNA UCA1 sponges miR-204-5p to promote migration, invasion and epithelial-mesenchymal transition of glioma cells via upregulation of ZEB1.

Pathology, research and practice·2018
Same author

International variations in trust in health care systems.

The International journal of health planning and management·2018
Same author

Toll-like receptor 9 negatively regulates pancreatic islet beta cell growth and function in a mouse model of type 1 diabetes.

Diabetologia·2018
Same journal

Proteomic Profiling of Endothelial Cells Under Laminar Shear Stress Confirms the Importance of KLF4 in the Regulation of Membrane Protein Expression Compared to Oscillatory Flow.

Journal of proteome research·2026
Same journal

Identification of Age-Associated Circulating Proteins and Lipids in 3800 Comorbidity-Enriched Older Adults from Japan-Based Cohorts Using Olink Assays and MRM Mass Spectrometry.

Journal of proteome research·2026
Same journal

Molecular Solution to the Paradox of Ancient Brain Preservation.

Journal of proteome research·2026
Same journal

From Method-Defined Signals to Reference Measurement Procedures: Two Decades of Mass Spectrometry-Based ProGRP Quantification.

Journal of proteome research·2026
Same journal

Proteomic Profiling of Extracellular Vesicle-Enriched Plasma Using Mag-Net for Biomarker Discovery in Pancreatic Ductal Adenocarcinoma.

Journal of proteome research·2026
Same journal

Computationally Efficient Bayesian Estimation of Graphical Networks for Omics Data.

Journal of proteome research·2026
See all related articles

This study introduces a novel method to improve mass spectrometry peak detection by analyzing peak consistency across multiple spectra. This approach enhances the identification of true peaks while reducing noise-induced false positives, aiding biomarker discovery.

Area of Science:

  • Analytical Chemistry
  • Biomolecular Analysis
  • Computational Biology

Background:

  • Mass spectrometry (MS) data frequently contains noise, complicating the accurate detection of low-abundance peaks.
  • Distinguishing true signals from noise-induced false positives is a significant challenge in MS data analysis.
  • Existing single-spectrum peak detection methods often struggle with sensitivity and specificity.

Purpose of the Study:

  • To develop an improved peak detection method for mass spectrometry data.
  • To leverage cross-spectrum peak consistency to enhance true peak identification and reduce false positives.
  • To facilitate more reliable discovery of potential cancer biomarkers.

Main Methods:

  • A novel peak detection algorithm was developed that incorporates an additional constraint: the consistent appearance of peaks across multiple spectra.

Related Experiment Videos

  • The method aligns identified peaks from various spectra to assess their reproducibility.
  • False-positive peaks, which are less consistent across spectra, are filtered out.

    • Main Results:

    • The proposed method demonstrates improved peak detection capabilities compared to traditional single-spectrum approaches.
    • Enhanced identification of true peaks, including those with low abundance, was achieved.
    • Reduction in false-positive peak detection attributed to noise was observed.

    Conclusions:

    • Utilizing cross-spectrum peak consistency is an effective strategy for improving mass spectrometry peak detection.
    • The enhanced peak detection method leads to more reliable identification of potential biomarkers, particularly for cancer research.
    • The developed algorithm offers a valuable tool for analyzing complex MS datasets.