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 Concept Videos

Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.2K
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...
6.2K
Matrix-Assisted Laser Desorption Ionization (MALDI)01:08

Matrix-Assisted Laser Desorption Ionization (MALDI)

231
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.
The analyte of interest, a biomolecule or a mixture of biomolecules, is mixed with a suitable matrix material. The...
231

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Including Research Subjects without Decision-Making Capacity Only as Last Resort.

Ethics & human research·2026
Same author

Combined subscapularis and supraspinatus tears markedly increase the risk of long head of the biceps tendon pathology.

Acta orthopaedica et traumatologica turcica·2026
Same author

Inotuzumab ozogamicin in paediatric very high risk first B-cell acute lymphoblastic leukaemia relapse (ITCC-059): a multicentre, single-arm, phase 2 trial.

The Lancet. Haematology·2026
Same author

Re: Comment on "Socioeconomic Risk Factors for Incomplete Vaccination in Swedish Two-Year-Olds-A Nationwide, Population-Based Cohort Study".

Acta paediatrica (Oslo, Norway : 1992)·2026
Same author

Comprehensive Evaluation of Gait Analysis and Kinematics in Adult Degenerative Scoliosis Using Wearable Motion Capture Technologies.

Sensors (Basel, Switzerland)·2026
Same author

Socioeconomic Risk Factors for Incomplete Vaccination in Swedish Two-Year-Olds-A Nationwide, Population-Based Cohort Study.

Acta paediatrica (Oslo, Norway : 1992)·2026

Related Experiment Video

Updated: May 10, 2025

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
10:47

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI

Published on: March 24, 2016

9.4K

Met-ID: An Open-Source Software for Comprehensive Annotation of Multiple On-Tissue Chemical Modifications in

Patrik Bjärterot1, Anna Nilsson1, Reza Shariatgorji1

  • 1Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, SE-75124 Uppsala, Sweden.

Analytical Chemistry
|April 20, 2025
PubMed
Summary
This summary is machine-generated.

Met-ID is new open-source software for identifying metabolites in MALDI-MSI data. It uses structural information and MS2 spectra to improve metabolite identification and data accuracy.

More Related Videos

MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules
09:59

MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules

Published on: March 5, 2014

18.8K
Molecular Imaging of Human Brain Organoids Using Mass Spectrometry
08:04

Molecular Imaging of Human Brain Organoids Using Mass Spectrometry

Published on: September 27, 2024

572

Related Experiment Videos

Last Updated: May 10, 2025

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI
10:47

Whole-body Mass Spectrometry Imaging by Infrared Matrix-assisted Laser Desorption Electrospray Ionization IR-MALDESI

Published on: March 24, 2016

9.4K
MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules
09:59

MALDI-Mass Spectrometric Imaging for the Investigation of Metabolites in Medicago truncatula Root Nodules

Published on: March 5, 2014

18.8K
Molecular Imaging of Human Brain Organoids Using Mass Spectrometry
08:04

Molecular Imaging of Human Brain Organoids Using Mass Spectrometry

Published on: September 27, 2024

572

Area of Science:

  • * Metabolomics
  • * Analytical Chemistry
  • * Bioinformatics

Background:

  • * Matrix-assisted laser desorption/ionization - mass spectrometry imaging (MALDI-MSI) is a powerful technique for analyzing spatial metabolite distributions.
  • * Identifying metabolites from complex MALDI-MSI data, especially with derivatizing matrices, remains a challenge.
  • * Existing software solutions often lack integrated MS1 and MS2 functionalities for comprehensive analysis.

Purpose of the Study:

  • * To introduce Met-ID, a user-friendly graphical software for efficient metabolite identification from MALDI-MSI datasets.
  • * To enable annotation of m/z features using both derivatizing and conventional matrices.
  • * To enhance confidence in metabolite identification through data recalibration and MS2 spectral matching.

Main Methods:

  • * Development of a graphical user interface (GUI) software, Met-ID.
  • * Utilization of structural information from derivatizing matrices to filter potential metabolite targets.
  • * Integration of a database with MS2 spectra of chemical standards and derivatized compounds (e.g., with FMP-10).
  • * Implementation of data recalibration using known m/z ratios and MS2 spectral similarity assessment.

Main Results:

  • * Met-ID successfully annotates m/z features from various MALDI-MSI experiments.
  • * The software identifies multiple derivatization sites on molecules, aiding in compound identification.
  • * Met-ID facilitates metabolite identification by comparing experimental MS2 spectra with a curated database.
  • * Customizable features and integration of FAIR Guiding Principles enhance usability and accessibility.

Conclusions:

  • * Met-ID provides an efficient and comprehensive solution for metabolite identification in MALDI-MSI data.
  • * The software's ability to combine MS1 and MS2 functionalities, along with its open-source nature, promotes wider adoption and collaboration.
  • * Met-ID empowers researchers to improve the accuracy and confidence of metabolite identification in complex biological samples.