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MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

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...
Mass Spectrometry: Overview01:19

Mass Spectrometry: Overview

Mass spectrometry is an analytical technique used to determine the molecular mass and molecular formula of a compound. The basic principle of mass spectrometry is to generate ions from the analyte molecule and measure these ion abundances against their molecular mass. One common type of ionization, known as electron ionization or EI, bombards the analyte molecules in the gas phase with high-energy electron beams. The electron beams displace an electron from the molecule and leave behind a...
Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For example, the mass of helium...
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...

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Updated: May 16, 2026

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
07:01

Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools

Published on: August 19, 2025

A tutorial in displaying mass spectrometry-based proteomic data using heat maps.

Melissa Key1

  • 1Center for Computational Diagnostics, IU School of Medicine, Indianapolis, IN, USA. melkey@iupui.edu

BMC Bioinformatics
|November 27, 2012
PubMed
Summary
This summary is machine-generated.

This tutorial demonstrates how to optimize heat maps for visualizing proteomic data. Learn to enhance data interpretation by adjusting parameters and incorporating data characteristics for clearer results.

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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

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Published on: November 13, 2021

Area of Science:

  • Proteomics
  • Bioinformatics
  • Data Visualization

Background:

  • Interpreting proteomic experimental results requires effective data visualization.
  • Heat maps are valuable for identifying quantitative patterns across proteins and samples.

Purpose of the Study:

  • To illustrate methods for optimizing heat maps for proteomics data.
  • To guide biologists and clinicians in creating informative heat maps.

Main Methods:

  • Demonstrating concepts for guiding heat map creation.
  • Applying these concepts to visualize spectral features and statistical significance.
  • Providing R programming code for implementation.

Main Results:

  • Optimized heat maps improve data appearance and interpretability.
  • Specific examples cover spectral feature visualization and statistical test results.
  • The tutorial offers practical R code for generating enhanced heat maps.

Conclusions:

  • Understanding heat map parameters is key to improving visualization of proteomic data.
  • Incorporating data characteristics into heat maps enhances their utility.
  • This guide empowers researchers with limited statistical backgrounds to create effective heat maps.