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

6.6K
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...
6.6K

You might also read

Related Articles

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

Sort by
Same author

Imaging mass cytometry reveals functional and immunological changes during type 1 diabetes progression in human pancreata.

Nature metabolism·2026
Same author

spammR: an R package designed for analysis and integration of spatial multi-omic measurements.

Bioinformatics advances·2026
Same author

Unbiased Spatial Proteomics Uncovers Hepatic in Situ Regulation in Alcohol-Associated Hepatitis.

The American journal of pathology·2026
Same author

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets.

Nature cancer·2026
Same author

A Step-by-Step Protocol From METASPACE to Biological Interpretation.

Journal of mass spectrometry : JMS·2026
Same author

AI-Based Digital Pathology-Enabled Spatial-Omics Data Analyses of the Human Kidney.

Journal of proteome research·2026
Same journal

Host transcriptional signatures associated with disease tolerance and environmental persistence in a mosquito-microsporidian system.

Communications biology·2026
Same journal

Evolutionary dynamics of enlarged neo-sex chromosomes and novel pseudoautosomal regions in Sylvioidea songbirds.

Communications biology·2026
Same journal

NuSAP1 promotes spindle assembly in Trypanosoma brucei by bundling spindle microtubules.

Communications biology·2026
Same journal

Phenotypic and neuropeptidergic control of appetitive behavior in honey bees (Apis mellifera).

Communications biology·2026
Same journal

Fermentative iron reduction by a psychrotolerant Clostridium-dominant consortium enriched from Antarctic penguin-impacted soils.

Communications biology·2026
Same journal

Multilayer brain network analysis in mice reveals ketamine-induced reorganization of brain- wide fluctuations and gut-brain axis.

Communications biology·2026
See all related articles

Related Experiment Video

Updated: Aug 14, 2025

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues
09:16

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues

Published on: May 4, 2022

2.3K

A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics.

Chia-Feng Tsai1, Yi-Ting Wang2, Chuan-Chih Hsu3

  • 1Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA. chia-feng.tsai@pnnl.gov.

Communications Biology
|January 18, 2023
PubMed
Summary
This summary is machine-generated.

A new phosphoproteomics method minimizes sample loss for sensitive nanoscale analysis. This streamlined workflow enables high-throughput phosphopeptide identification and quantification from limited cell and tissue samples.

More Related Videos

Phosphoproteomic Strategy for Profiling Osmotic Stress Signaling in Arabidopsis
05:47

Phosphoproteomic Strategy for Profiling Osmotic Stress Signaling in Arabidopsis

Published on: June 25, 2020

5.3K
A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors
10:17

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

Published on: April 29, 2022

2.5K

Related Experiment Videos

Last Updated: Aug 14, 2025

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues
09:16

A Spin-Tip Enrichment Strategy for Simultaneous Analysis of N-Glycopeptides and Phosphopeptides from Human Pancreatic Tissues

Published on: May 4, 2022

2.3K
Phosphoproteomic Strategy for Profiling Osmotic Stress Signaling in Arabidopsis
05:47

Phosphoproteomic Strategy for Profiling Osmotic Stress Signaling in Arabidopsis

Published on: June 25, 2020

5.3K
A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors
10:17

A Mass Spectrometry-Based Approach to Identify Phosphoprotein Phosphatases and their Interactors

Published on: April 29, 2022

2.5K

Area of Science:

  • Proteomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Phosphoproteome analysis is crucial for understanding cellular signaling.
  • Nanoscale sample analysis faces challenges due to sample loss during phosphopeptide enrichment.
  • Low stoichiometric phosphopeptides are particularly prone to adsorption on surfaces.

Purpose of the Study:

  • To develop a streamlined workflow for sensitive, high-throughput nanoscale phosphoproteome measurements.
  • To overcome sample loss issues in phosphopeptide enrichment.
  • To enable phosphoproteome profiling of mass-limited samples.

Main Methods:

  • Development of a tandem tip phosphoproteomics sample preparation method.
  • Integration with Surfactant-assisted One-Pot sample preparation (SOP) and improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL).
  • Label-free and isobaric labeling strategies for phosphopeptide identification and quantification.

Main Results:

  • Significantly reduced sample loss and processing time.
  • Identification of >3000 (>9500) phosphopeptides from 1 (10) µg of cell lysate (label-free).
  • Precise quantification of ~600 phosphopeptides from 100 sorted cells and ~700 from human spleen tissue voxels.

Conclusions:

  • The developed workflow enables sensitive, high-throughput nanoscale phosphoproteome measurements.
  • This method is effective for analyzing mass-limited samples at the nanogram level.
  • Opens new avenues for phosphoproteome profiling in various biological contexts.