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Related Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

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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.
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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 electrospray 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...
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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...
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Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
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Mass Analyzers: Overview01:13

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The mass analyzer is a crucial component of the mass spectrometer. In the ionization chamber, the vaporized sample is bombarded with a high-energy electron beam to generate a radical cation and further fragment into neutral molecules, radicals, and cations. A series of negatively charged accelerator plates accelerate the cations into the mass analyzer. The mass analyzer separates ions according to their mass-to-charge (m/z) ratios and then directs them to the detector. The common types of mass...
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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 spectrometry is widely employed in biological and medical research, as well as in fields like pharmacology and biochemistry.
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Related Experiment Video

Updated: Jul 16, 2025

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
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Data-Driven Optimization of DIA Mass Spectrometry by DO-MS.

Georg Wallmann1, Andrew Leduc1, Nikolai Slavov1,2

  • 1Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, Massachusetts 02115, United States.

Journal of Proteome Research
|September 11, 2023
PubMed
Summary
This summary is machine-generated.

We developed DO-MS v2.0, a data-driven tool to optimize mass spectrometry (MS) methods for data-independent acquisition (DIA) and single-cell proteomics. This framework enhances protein quantification accuracy and data quality for large-scale proteomic studies.

Keywords:
DO-MSMSacquisitioncontroldatamass spectrometryoptimizationplexDIAproteomicsqualitysingle-cell, visualization

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Area of Science:

  • Proteomics
  • Analytical Chemistry
  • Biotechnology

Background:

  • Mass spectrometry (MS) is crucial for protein quantification, but requires optimized methods for large datasets.
  • Data-independent acquisition (DIA) offers high throughput and sensitivity but necessitates efficient data acquisition and quality control.
  • Single-cell proteomics presents unique challenges in data acquisition and analysis.

Purpose of the Study:

  • To introduce DO-MS app v2.0, a framework for data-driven optimization of MS methods for DIA.
  • To enable optimization of parameters critical for label-free DIA, multiplexed DIA (plexDIA), and single-cell proteomics.
  • To provide tools for efficient quality control and evaluation of large-scale proteomic datasets.

Main Methods:

  • Development of the DO-MS app v2.0 framework for optimizing MS data acquisition.
  • Application of the framework to optimize duty cycle, peptide separation, and survey scan parameters.
  • Utilizing DO-MS for quality control of single-cell plexDIA data.
  • Interactive data visualization and automated report generation.

Main Results:

  • DO-MS v2.0 facilitates optimization for both label-free and multiplexed DIA (plexDIA).
  • The framework supports specific optimizations for single-cell proteomics applications.
  • Demonstrated use cases include optimizing duty cycle, peptide separation, and survey scan number.
  • Enabled interactive data display and generation of shareable quality reports.

Conclusions:

  • DO-MS v2.0 is a valuable tool for optimizing DIA mass spectrometry methods.
  • The framework improves protein quantification accuracy and data quality in large-scale proteomics.
  • DO-MS v2.0 enhances the potential of MS for single-cell proteomics research.