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

Recombinant DNA01:09

Recombinant DNA

Overview
Recombinant DNA01:09

Recombinant DNA

Overview
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...

You might also read

Related Articles

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

Sort by
Same author

ASO Authors Reflections: Artificial Intelligence-Driven Three-Dimensional Reconstruction System-From Plan to Procedure.

Annals of surgical oncology·2026
Same author

Light-Activated RPE65 Inhibitors Enable On-Demand Visual Cycle Control.

Journal of the American Chemical Society·2026
Same author

Artificial Intelligence-Driven Three-Dimensional Reconstruction System Reduced Unexpected Procedural Changes in Thoracic Surgery.

Annals of surgical oncology·2026
Same author

Deciphering the sources of dissolved organic matter in a eutrophic lake: Insights from the identification of stable molecular markers by FT-ICR MS and assembly processes.

Water research·2026
Same author

AI-driven tissue discrimination sensing methods for robot-assisted spine surgery: a state-of-the-art review.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·2026
Same author

Impact of adjuvant immunotherapy on prognosis in esophageal squamous cell carcinoma patients following neoadjuvant immunochemotherapy.

Frontiers in oncology·2026

Related Experiment Video

Updated: May 10, 2026

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

Multiplexed phosphoproteomics of low cell numbers using SPARCE.

Emily J Gaizley1, Xiuyuan Chen1, Amandeep Bhamra1

  • 1UCL Cancer Institute, University College London, London, UK.

Communications Biology
|April 26, 2025
PubMed
Summary

We developed SPARCE, a new method for analyzing proteins in rare cells. This technique improves phosphoproteomic analysis of low cell numbers, aiding in understanding cellular diversity and disease signaling.

More Related Videos

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
12:23

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Published on: August 2, 2018

12.0K
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

5.1K

Related Experiment Videos

Last Updated: May 10, 2026

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
Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer
12:23

Phosphopeptide Enrichment Coupled with Label-free Quantitative Mass Spectrometry to Investigate the Phosphoproteome in Prostate Cancer

Published on: August 2, 2018

12.0K
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

5.1K

Area of Science:

  • Proteomics and cellular signaling analysis.
  • Mass spectrometry applications in biological research.

Background:

  • Global protein analysis is crucial for understanding cellular diversity and disease.
  • Next-generation sequencing captures cellular heterogeneity but not downstream signaling.
  • Phosphoproteomics is vital for signaling analysis but typically requires high cell input.

Purpose of the Study:

  • To develop a method for sensitive phosphoproteomic analysis of rare cell populations.
  • To overcome limitations in phosphoproteomics for low cell numbers.
  • To enable unbiased protein-level analysis of signaling in limited samples.

Main Methods:

  • Introduction of SPARCE (Streamlined Phosphoproteomic Analysis of Rare CElls) workflow.
  • Integration of cell isolation, water-based lysis, and on-tip TMT labeling.
  • Multiplexed phosphopeptide enrichment for enhanced quantification.

Main Results:

  • SPARCE enhances labeling efficiency and phosphoproteome coverage compared to traditional methods.
  • Successfully quantified phosphosite changes from as few as 1000 FACS-sorted glioblastoma stem cells.
  • Demonstrated reliable analysis of rare cell populations.

Conclusions:

  • SPARCE significantly advances phosphoproteomic analysis capabilities for rare cells.
  • The workflow expands possibilities for signaling pathway investigation in limited biological samples.
  • Enables deeper understanding of cellular diversity and disease mechanisms through protein modification analysis.