Related Experiment Video

Updated: Feb 12, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.6K

Proteomic analysis defines kinase taxonomies specific for subtypes of breast cancer

Kyla A L Collins1, Timothy J Stuhlmiller2,3, Jon S Zawistowski2,3

  • 1Curriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.

Oncotarget
|April 13, 2018
PubMed

Insights

Multiplexed small molecule inhibitors bound to beads (MIBs) proteomically distinguished breast cancer subtypes. This method integrates understudied kinases into signaling networks, aiding subtype classification and understanding adaptive changes.

Area of Science:

  • Proteomics
  • Cancer Biology
  • Biochemistry

Background:

  • Breast cancer comprises distinct subtypes with varying clinical outcomes.
  • Kinase signaling pathways are crucial in cancer development and progression.
  • Many kinases remain understudied, limiting therapeutic strategies.

Purpose of the Study:

  • To develop a proteomics-based method for profiling functional kinases across breast cancer subtypes.
  • To integrate understudied kinases into functional signaling networks.
  • To investigate adaptive kinome reprogramming in response to targeted inhibition.

Main Methods:

  • Utilized multiplexed small molecule inhibitors covalently bound to Sepharose beads (MIBs) to capture kinases.
  • Analyzed MIB-binding profiles from luminal, HER2-enriched, and triple-negative breast cancer cell lines and tumors.
  • Employed computational analysis to define subtypes using kinase profiles.

Main Results:

  • MIB-binding profiles proteomically distinguished the four breast cancer subtypes at baseline.
  • Understudied kinases were identified and integrated into signaling subnetworks with well-characterized kinases.
  • Subtypes could be defined using profiles of fewer than 50 kinases, including understudied, metabolic, and lipid kinases.
  • MIB profiles revealed subtype-selective adaptive kinome reprogramming upon targeted kinase inhibition.

Conclusions:

  • MIBs provide a unique proteomics approach to integrate understudied kinases into functional subnetworks for breast cancer.
  • MIB-binding profiles can define subtypes and reveal dynamic kinome changes driving phenotypic state alterations.
  • This method offers a powerful tool for understanding kinase function and developing targeted therapies in diverse breast cancer subtypes.
Keywords:
cancer biologykinase signalingproteomics

More Related Videos

Long-term Culture of Human Breast Cancer Specimens and Their Analysis Using Optical Projection Tomography10:10

Long-term Culture of Human Breast Cancer Specimens and Their Analysis Using Optical Projection Tomography

Published on: July 29, 2011

15.7K
Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model09:29

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

18.9K

Related Concept Videos

Taxonomy01:31

Taxonomy

Taxonomy is the science of defining and naming groups of biological organisms based on shared characteristics. It uses a hierarchy of increasingly inclusive categories with Latin names. The smallest units of taxonomy, species and genus, are used to assign a formal, taxonomic name to each species in a system. This classification system, referred to as binomial nomenclature, was formalized by Carolus Linnaeus in the 18th century.
Hierarchy of Taxonomy
The hierarchy that Carolus Linnaeus first...
90.1K
Protein Kinases and Phosphatases02:54

Protein Kinases and Phosphatases

Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
15.2K
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
700
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
579
Proteomics01:33

Proteomics

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...
9.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
774