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

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

129
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
129

You might also read

Related Articles

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

Sort by
Same author

Expert opinion on burning questions in cancer myeloid cell biology.

Journal for immunotherapy of cancer·2026
Same author

A comprehensive pharmacological survey across heterogeneous patient-derived glioblastoma stem cell models.

iScience·2026
Same author

British Thoracic Society Quality Standard for Pleural Disease.

BMJ open respiratory research·2026
Same author

Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models.

Digital discovery·2026
Same author

Harnessing myeloid cell plasticity for cancer therapy.

Nature cancer·2026
Same author

Enabling AI to Drive Innovation and Precision across Oncology R&D.

Cancer discovery·2026

Related Experiment Video

Updated: May 7, 2026

On-Chip Endothelial Inflammatory Phenotyping
12:43

On-Chip Endothelial Inflammatory Phenotyping

Published on: July 21, 2012

10.4K

High-content analysis to leverage a robust phenotypic profiling approach to vascular modulation.

Beverley J Isherwood1, Rebecca E Walls, Mark E Roberts

  • 11Discovery Sciences, AstraZeneca R&D, UK.

Journal of Biomolecular Screening
|October 11, 2013
PubMed
Summary

This study introduces a novel organotypic model and high-content analysis tools for robust phenotypic screening. The approach effectively maps drug responses in angiogenesis, aiding the development of new therapeutic agents.

Keywords:
angiogenesishigh-content analysisimagingphenotypic profilingvascular modulation

More Related Videos

Multilevel Microdissection and Functional-Structural Profiling of Human Renal Arterial Branches
06:51

Multilevel Microdissection and Functional-Structural Profiling of Human Renal Arterial Branches

Published on: September 5, 2025

787
Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
09:45

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

2.5K

Related Experiment Videos

Last Updated: May 7, 2026

On-Chip Endothelial Inflammatory Phenotyping
12:43

On-Chip Endothelial Inflammatory Phenotyping

Published on: July 21, 2012

10.4K
Multilevel Microdissection and Functional-Structural Profiling of Human Renal Arterial Branches
06:51

Multilevel Microdissection and Functional-Structural Profiling of Human Renal Arterial Branches

Published on: September 5, 2025

787
Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
09:45

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

2.5K

Area of Science:

  • Cell Biology
  • Pharmacology
  • Drug Discovery

Background:

  • Phenotypic screening identifies drug candidates by observing cellular changes.
  • High-content analysis (HCA) generates large, complex datasets from cellular assays.
  • Robust models are needed to accurately assess drug effects on physiological processes like angiogenesis.

Purpose of the Study:

  • To develop and validate an organotypic model combined with novel HCA tools for phenotypic screening.
  • To establish a streamlined workflow for analyzing complex phenotypic data.
  • To characterize compounds based on their phenotypic effects, particularly in angiogenesis.

Main Methods:

  • Developed a co-culture model using human primary endothelial cells and stromal fibroblasts to mimic angiogenesis.
  • Utilized custom algorithms and automated microscopy for quantitative descriptor extraction.
  • Employed a bespoke informatics platform for data processing, statistical analysis, and visualization.

Main Results:

  • Successfully modeled key aspects of angiogenic signaling, including cell interactions, proliferation, migration, and differentiation.
  • Characterized 90 compounds, defining their mode of action through observed phenotypes.
  • Demonstrated a robust and scalable approach for phenotypic screening in complex models.

Conclusions:

  • The integrated organotypic model and HCA platform provide a powerful tool for phenotypic drug discovery.
  • This approach enhances the physiological relevance and analytical capabilities of phenotypic screens.
  • The methodology is adaptable for various phenotypic screening campaigns, supporting the identification of novel therapeutic agents.