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Related Concept Videos

MALDI-TOF Mass Spectrometry01:19

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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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Matrix-assisted laser desorption ionization (MALDI) is a powerful analytical technique used in mass spectrometry. It enables the identification and characterization of various biomolecules, including proteins, peptides, nucleic acids, and carbohydrates. MALDI is an ionization technique, widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix...
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MALDIViz: A Comprehensive Informatics Tool for MALDI-MS Data Visualization and Analysis.

Kishore Kumar Jagadeesan1, Simon Ekström1

  • 11 Department of Biomedical Engineering, Lund University, Lund, Sweden.

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|August 22, 2017
PubMed
Summary
This summary is machine-generated.

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) enables high-throughput screening (HTS) but generates complex data. A new informatics tool, MALDIViz, simplifies the analysis and visualization of these large MALDI-MS datasets.

Keywords:
MALDI-MSRdata analysisdata visualizationhigh-throughput screeningproteomics

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Area of Science:

  • Analytical Chemistry
  • Bioinformatics
  • Chemical Engineering

Background:

  • Mass spectrometry (MS) is a powerful tool for high-throughput screening (HTS), offering label-free detection.
  • Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is particularly suited for HTS due to its speed, automation, and cost-effectiveness.
  • Analyzing large and complex datasets from multiparametric HTS experiments presents significant challenges.

Purpose of the Study:

  • To develop a comprehensive informatics tool for analyzing and visualizing large datasets generated by HTS MALDI-MS.
  • To address the difficulties in manual data analysis arising from complex experimental variables.
  • To provide an accessible and user-friendly solution for researchers working with HTS MALDI-MS data.

Main Methods:

  • Development of MALDIViz, an R-Shiny-based web application.
  • The tool is designed for cross-platform compatibility and requires no local installation.
  • Facilitates easy analysis, visualization, and comparison of multiplex MALDI-MS experiments.

Main Results:

  • MALDIViz enables straightforward analysis and visualization of complex HTS MALDI-MS data.
  • The application supports the comparison of multiplex experiments effectively.
  • Results can be exported into high-quality images for further reporting.

Conclusions:

  • MALDIViz offers a robust solution for managing and interpreting large HTS MALDI-MS datasets.
  • The tool enhances the efficiency and accessibility of data analysis in HTS applications.
  • This informatics approach aids researchers in extracting meaningful insights from complex mass spectrometry screening data.