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

You might also read

Related Articles

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

Sort by
Same author

Large distant deletion disrupts CDKN2A enhancer and predisposes to melanoma.

medRxiv : the preprint server for health sciences·2026
Same author

Tumor miRNA Signatures Associate with Outcomes of Patients with Stage II/III Melanoma.

Clinical cancer research : an official journal of the American Association for Cancer Research·2025
Same author

Federated Deep Learning Enables Cancer Subtyping by Proteomics.

Cancer discovery·2025
Same author

Global Applicability of a Risk Prediction Tool for Sentinel Node Positivity in Patients With Primary Cutaneous Melanoma.

JAMA dermatology·2025
Same author

Multiomic profiling of checkpoint inhibitor-treated melanoma: Identifying predictors of response and resistance, and markers of biological discordance.

Cancer cell·2025
Same author

DNA Methylation Classes of Stage II and III Primary Melanomas and Their Clinical and Prognostic Significance.

JCO precision oncology·2024

Related Experiment Video

Updated: Jun 14, 2026

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

An extended antibody microarray for surface profiling metastatic melanoma.

Kimberley L Kaufman1, Larissa Belov, Pauline Huang

  • 1School of Molecular and Microbial Biosciences, The University of Sydney, NSW, Australia. K.Kaufman@usyd.edu.au

Journal of Immunological Methods
|April 6, 2010
PubMed
Summary

Researchers developed an antibody microarray to profile melanoma cell surface proteins. This technique aids in melanoma sub-classification and predicting patient outcomes, improving cancer diagnostics and treatment strategies.

More Related Videos

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
07:41

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
09:58

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma

Published on: June 6, 2025

Related Experiment Videos

Last Updated: Jun 14, 2026

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing
15:17

Colorectal Cancer Cell Surface Protein Profiling Using an Antibody Microarray and Fluorescence Multiplexing

Published on: September 25, 2011

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
07:41

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis

Published on: March 8, 2022

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
09:58

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma

Published on: June 6, 2025

Area of Science:

  • Oncology
  • Immunology
  • Biotechnology

Background:

  • Melanoma sub-classification and prognosis are crucial for effective treatment.
  • Current methods for surface proteome profiling of melanoma cells are limited.
  • Understanding melanoma immunophenotypes can guide therapeutic decisions.

Purpose of the Study:

  • To develop and validate an antibody microarray for profiling melanoma surface proteome.
  • To establish a method for distinguishing melanoma cells from leukocytes in clinical samples.
  • To correlate melanoma immunophenotypes with clinical characteristics and patient outcomes.

Main Methods:

  • Selected 48 antibodies correlated with melanoma development and prognosis.
  • Printed antibodies on nitrocellulose slides to create antibody microarrays.
  • Captured live melanoma cells and leukocytes expressing corresponding antigens.
  • Utilized anti-CD45 magnetic beads for separating melanoma cells and leukocytes.

Main Results:

  • Generated surface antigen profiles for normal melanocytes, melanoma cell lines, and clinical samples.
  • Developed a procedure to isolate melanoma cells from leukocytes in lymph node metastases.
  • Demonstrated the capture of live, bead-bound leukocytes, enhancing microarray utility.

Conclusions:

  • The antibody microarray is a promising tool for melanoma sub-classification and prognosis.
  • This technology can provide critical prognostic information for predicting clinical behavior and treatment response.
  • Further studies will correlate immunophenotypes with clinicopathological characteristics and disease progression.