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

Proteomics01:33

Proteomics

9.2K
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.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.2K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.6K
Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
2.6K

You might also read

Related Articles

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

Sort by
Same author

Construction and validation of a phenotypic prediction model for bacterial gentamicin resistance using deep learning with gene sequences.

Microbiology spectrum·2026
Same author

Benzyl alcohol biosynthesis and its subcellular compartmentalization enable scent formation and salicylic acid production.

Nature communications·2026
Same author

A Droplet-Microarray Platform for Multiplex Profiling of Breast Cancer Exosome Subtypes in Patients' Blood Plasma Samples.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Development of a Time-Resolved Fluorescence Immunoassay for BAFF and Its Preliminary Clinical Application in Patients with Lupus Nephritis.

Journal of fluorescence·2026
Same author

Effect of electroacupuncture on motor and sensory functions of lower limbs and GABA receptor in spinal cord of rats with neuropathic pain.

The journal of spinal cord medicine·2026
Same author

Risk prediction of <i>Helicobacter pylori</i> strains across Correa's cascade via intelligent analysis of genome-wide SNPs.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Jan 3, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

7.4K

Tracking Pathogen Infections by Time-Resolved Chemical Proteomics.

Ying Zhang1,2, Der-Shyang Kao1, Bing Gu3

  • 1Department of Biochemistry, Department of Chemistry, Center for Cancer Research, Purdue University, West Lafayette, IN, 47907, USA.

Angewandte Chemie (International Ed. in English)
|November 27, 2019
PubMed
Summary

Researchers developed a new method, host and pathogen temporal interaction profiling (HAPTIP), to track pathogen entry into host cells. This technique reveals over 400 specific protein interactions during infection, enhancing our understanding of disease mechanisms.

Keywords:
chemical proteomicsin vivo labelingpathogen-host interactionsphoto crosslinkingquantitative proteomics

More Related Videos

Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water
09:43

Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water

Published on: February 20, 2013

12.3K
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

12.5K

Related Experiment Videos

Last Updated: Jan 3, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

7.4K
Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water
09:43

Protease- and Acid-catalyzed Labeling Workflows Employing 18O-enriched Water

Published on: February 20, 2013

12.3K
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

12.5K

Area of Science:

  • Microbiology
  • Proteomics
  • Cell Biology

Background:

  • Understanding host-pathogen interactions is crucial for infectious disease research.
  • Current methods for studying these dynamics are often limited in temporal resolution and scope.

Purpose of the Study:

  • To develop a time-resolved chemical proteomics strategy for profiling host-pathogen interactions.
  • To track pathogen entry and dynamic interactions within host cells.

Main Methods:

  • Introduced a novel multifunctional chemical proteomics probe for labeling bacteria.
  • Utilized in vivo UV-induced crosslinking to capture interacting host-cell proteins.
  • Employed label-free quantitative proteomics for interaction analysis.

Main Results:

  • Successfully tracked pathogen entry into host cells using the HAPTIP strategy.
  • Identified over 400 specific interacting proteins during Salmonella-containing vacuole formation.
  • Generated a temporal interaction profile of host and pathogen.

Conclusions:

  • The HAPTIP approach offers a high-throughput method for studying host-pathogen dynamics.
  • This technique provides molecular-level insights into the infection process.
  • Facilitates a deeper understanding of host-pathogen interplay during infection.