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Related Concept Videos

Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Peptide Identification Using Tandem Mass Spectrometry01:33

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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: Molecular Fragmentation Overview01:20

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The ionization of a molecule into a molecular ion inside the mass spectrometer causes instability in the molecule's structure due to the loss of an electron. This eventually leads to the fragmentation or breaking of some bonds in the molecule. The fragmentation occurs predominantly at specific bonds to yield relatively stable fragments.
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Proteomics01:33

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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.
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Mass Spectrometry: Complex Analysis01:21

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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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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Integration of alternative fragmentation techniques into standard LC-MS workflows using a single deep learning model

Nikita Levin1,2, Cemil Can Saylan3, Joel Lapin3

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This study introduces an integrated mass spectrometry platform for advanced peptide sequencing. Alternative fragmentation techniques offer superior data quality and protein identification efficiency compared to traditional methods.

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Area of Science:

  • Mass Spectrometry
  • Proteomics
  • Computational Biology

Background:

  • Collision-induced dissociation (CID) is the standard for bottom-up proteomics but struggles with complex samples.
  • Limitations exist in characterizing post-translational modifications and proteoforms using CID.

Purpose of the Study:

  • To develop an integrated mass spectrometry platform for automated multi-fragmentation techniques.
  • To train a unified deep learning model for spectral prediction across fragmentation methods.
  • To enhance protein identification and characterization in proteomics.

Main Methods:

  • Developed an integrated platform for automated collision-, electron-, and photon-based fragmentation.
  • Generated deep proteomics datasets using multi-enzyme workflows.
  • Trained a unified Prosit deep learning model for spectral prediction.

Main Results:

  • The Prosit model, integrated into FragPipe's MSBooster, increased protein identifications by >10%.
  • Electron-induced and ultraviolet photodissociation achieved competitive identification efficiency with CID.
  • Advanced fragmentation techniques provided superior sequence coverage and richer spectra.

Conclusions:

  • Established a framework for routine application of advanced fragmentation techniques in proteomics.
  • Demonstrated the potential of electron- and photon-based dissociation for comprehensive proteome analysis.
  • Highlighted the utility of deep learning for unifying spectral prediction across dissociation methods.