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

You might also read

Related Articles

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

Sort by
Same author

A sequentially orthogonal dual-peptide (TPS/DGEA) coating with synergistic anticoagulant, anti-inflammatory and pro-endothelialization functions for vascular stents.

Biomedical materials (Bristol, England)·2026
Same author

Quantitative Host Cell Protein Analysis of Antibody-Based Protein Therapeutics Using the Orbitrap Astral Mass Spectrometer.

Journal of the American Society for Mass Spectrometry·2026
Same author

First 20 Years of Orbitrap Mass Spectrometry as the Mainstream Analytical Technique.

Mass spectrometry reviews·2026
Same author

Chinensinaphthol methyl ether prevents thrombosis by inhibiting the intrinsic pathway of coagulation through targeting coagulation factor XII.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Unpaired data as a first-order challenge in single-cell and spatial proteomics.

Nature biotechnology·2026
Same author

MLL-AF9 expression levels do not instruct lineage fate.

Haematologica·2026
Same journal

A temporal phospho-acetylome atlas of human myogenesis identifies coordinated post-translational regulation.

Molecular & cellular proteomics : MCP·2026
Same journal

Temporal proteomic characterization of SARS-CoV-2 infected mouse lungs.

Molecular & cellular proteomics : MCP·2026
Same journal

Platelet proteome links metabolism to reactivity in Essential Thrombocythemia.

Molecular & cellular proteomics : MCP·2026
Same journal

Genetic rescue of disrupted synaptic protein interaction network dynamics following SYNGAP1 reactivation.

Molecular & cellular proteomics : MCP·2026
Same journal

ASAP-ID: Proximity labelling with small tags.

Molecular & cellular proteomics : MCP·2026
Same journal

Proteome profiling reveals NQO2 activity contributing to proteasome inhibitor resistance in multiple myeloma cell lines.

Molecular & cellular proteomics : MCP·2026
See all related articles

Related Experiment Video

Updated: May 12, 2025

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome
06:31

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome

Published on: March 24, 2023

2.1K

Quantitative Label-Free Single-Cell Proteomics on the Orbitrap Astral MS.

Valdemaras Petrosius1, Pedro Aragon-Fernandez1, Tabiwang N Arrey2

  • 1Department of Biotechnology and Biomedicine, Technical University of Denmark, Kgs Lyngby, Denmark.

Molecular & Cellular Proteomics : MCP
|May 7, 2025
PubMed
Summary
This summary is machine-generated.

Enhanced Orbitrap Astral mass spectrometry enables deeper proteome profiling from single-cell proteomics (scp-MS) samples. This advancement improves sensitivity and quantitative accuracy for cellular phenotype insights.

Keywords:
ASTRALQuantitative accuracysingle-cell proteomics

More Related Videos

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

15.9K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

11.8K

Related Experiment Videos

Last Updated: May 12, 2025

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome
06:31

"Cell Surface Capture" Workflow for Label-Free Quantification of the Cell Surface Proteome

Published on: March 24, 2023

2.1K
Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

15.9K
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

11.8K

Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Cellular Biology

Background:

  • Single-cell proteomics by mass spectrometry (scp-MS) offers deep biological insights but faces sensitivity limitations.
  • Current instrumentation struggles with the low signal from single-cell samples, approaching detection boundaries.

Purpose of the Study:

  • To evaluate the Orbitrap Astral mass spectrometer's enhanced sensitivity for deep proteome profiling in low-input and single-cell samples.
  • To optimize data acquisition methods for maximum sensitivity in scp-MS.
  • To assess the quantitative accuracy of measurements from low-input samples.

Main Methods:

  • Conducted a comprehensive survey of data acquisition parameters to identify optimal settings for sensitivity.
  • Performed quantitative accuracy assessments against known values.
  • Generated and analyzed scp-MS data from cultured cell lines and primary bone marrow samples.
  • Explored protein covariation to assess the capture of protein complex information.

Main Results:

  • The Orbitrap Astral demonstrated enhanced capacity for deep proteome profiling from low-input to single-cell levels.
  • Optimized acquisition methods significantly improved sensitivity.
  • Quantitative measurements showed good accuracy.
  • Differences in proteome coverage were observed across different sample types.
  • Protein covariation analysis successfully captured information on known protein complexes.

Conclusions:

  • The Orbitrap Astral mass spectrometer significantly advances scp-MS capabilities by enhancing sensitivity and quantitative accuracy.
  • This technology facilitates deeper proteome coverage and provides insights into cellular phenotypes and protein complexes from low-input samples.