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

10.0K
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...
10.0K

You might also read

Related Articles

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

Sort by
Same author

Sequential transcriptional waves and NF-κB-driven chromatin remodeling direct drug-induced dedifferentiation in cancer.

Nature communications·2026
Same author

TENT5A Maintains MYC mRNA Stability to Enhance Osteosarcoma Stemness.

Cancer research·2026
Same author

Single-Cell Sequencing-Guided Annotation of Rare Tumor Cells for Deep Learning-Based Cytopathologic Diagnosis of Early Lung Cancer.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Liquid Biopsy-Based Accurate Diagnosis and Genomic Profiling of Hard-to-Biopsy Tumors via Parallel Single-Cell Genomic Sequencing of Exfoliated Tumor Cells.

Analytical chemistry·2024
Same author

Single-cell low-pass whole genome sequencing accurately detects circulating tumor cells for liquid biopsy-based multi-cancer diagnosis.

NPJ precision oncology·2024
Same author

Recent advances in high-throughput single-cell transcriptomics and spatial transcriptomics.

Lab on a chip·2022
Same journal

Controlled encapsulation and droplet size prediction in two-step microfluidic double emulsions.

Lab on a chip·2026
Same journal

A particulate blood-mimicking fluid with physiological biconcave geometry for microscale hemorheology.

Lab on a chip·2026
Same journal

Multicellular sensor arrays fabricated by capillary stamping for pattern-based odor discrimination.

Lab on a chip·2026
Same journal

A real-time microfluidic surveillance system for multiplex detection of heavy metal contamination in wastewater.

Lab on a chip·2026
Same journal

Vision-guided parallel manipulation of cells with optoelectronic tweezers.

Lab on a chip·2026
Same journal

Review of nanofluidic mass transport systems: engineering through physicochemical fields and interfacial properties.

Lab on a chip·2026
See all related articles

Related Experiment Video

Updated: Mar 6, 2026

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
15:41

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

15.6K

Microchip-based single-cell functional proteomics for biomedical applications.

Yao Lu1, Liu Yang2, Wei Wei3

  • 1Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.

Lab on a Chip
|March 11, 2017
PubMed
Summary
This summary is machine-generated.

Microchip-based single-cell proteomics tools reveal cellular heterogeneity. These advanced methods offer unique insights into immune cell dynamics, cell interactions, and cancer signaling for improved diagnostics and therapies.

More Related Videos

Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray
09:05

Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray

Published on: January 6, 2016

21.5K
Counting Proteins in Single Cells with Addressable Droplet Microarrays
12:25

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Published on: July 6, 2018

9.0K

Related Experiment Videos

Last Updated: Mar 6, 2026

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells
15:41

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

15.6K
Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray
09:05

Flow-pattern Guided Fabrication of High-density Barcode Antibody Microarray

Published on: January 6, 2016

21.5K
Counting Proteins in Single Cells with Addressable Droplet Microarrays
12:25

Counting Proteins in Single Cells with Addressable Droplet Microarrays

Published on: July 6, 2018

9.0K

Area of Science:

  • Biotechnology
  • Proteomics
  • Cell Biology

Background:

  • Cellular heterogeneity is recognized, but characterizing it at genomic and proteomic levels requires advanced tools.
  • Single-cell technologies have recently emerged, enabling detailed analysis of cellular differences.

Purpose of the Study:

  • To review technological advances in microchip-based tools for single-cell functional proteomics.
  • To highlight biological and clinical applications where these tools offer unique advantages over traditional methods.

Main Methods:

  • Review of microchip-based toolkits for single-cell functional proteomics.
  • Analysis of high-dimensional data generated by high-throughput single-cell proteomic assays.
  • Development of new analytical frameworks for extracting biological insights.

Main Results:

  • Single-cell proteomic tools provide unique advantages in resolving immune cell heterogeneity and dynamics.
  • These tools facilitate the dissection of cell-cell interactions within controlled on-chip microenvironments.
  • Applications include high-resolution immune system profiling for immunotherapy and phosphoprotein network analysis in cancer for targeted therapies.

Conclusions:

  • Microchip-based single-cell proteomics tools are advancing the characterization of cellular heterogeneity.
  • These technologies are crucial for addressing complex biological and clinical problems intractable by population-based methods.
  • Future development of analytical frameworks is needed to fully leverage the potential of high-dimensional single-cell proteomic data.