Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 20, 2026

Fluorescence Molecular Tomography for In Vivo Imaging of Glioblastoma Xenografts

Fluorescence Molecular Tomography for In Vivo Imaging of Glioblastoma Xenografts

Published on: April 26, 2018

Review: Fluorescent protein-based tumor models.

V Yagublu¹, Z Ahmadova, M Hafner

¹Surgical Clinic, University Medical Center Mannheim, Mannheim, Germany.

In Vivo (Athens, Greece)

|July 10, 2012

Summary

This summary is machine-generated.

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

Inhibition of GPX4 enhances CDK4/6 inhibitor and endocrine therapy activity in breast cancer.

Nature communications·2024

Same author

Case report-delayed splenic rupture in combination with medial femoral neck fracture after low energy trauma. Development of hemorrhagic shock 5 days after hip prosthesis due to a rare cause.

Trauma case reports·2018

Same author

Alcohol representations are socially situated: An investigation of beverage representations by using a property generation task.

Appetite·2017

Same author

Ruptured abdominal aortic aneurysm-epidemiology, predisposing factors, and biology.

Langenbeck's archives of surgery·2016

Same author

New Processes for Freeze-Drying in Dual-Chamber Systems.

PDA journal of pharmaceutical science and technology·2016

Same author

Platelets from flowing blood attach to the inflammatory chemokine CXCL16 expressed in the endothelium of the human vessel wall.

Thrombosis and haemostasis·2015

Same journal

Time-Dependent Inflammatory Cytokine Responses in a Human Fetal Membrane Dual-Compartment Model.

In vivo (Athens, Greece)·2026

Same journal

Impact of COVID-19 Vaccine Type on the Efficacy and Safety of Nivolumab in Patients With Metastatic Non-small-cell Lung Cancer: A Multicenter Study.

In vivo (Athens, Greece)·2026

Same journal

Nutritional Support for Treatment Continuity and Survival in Advanced Gastric Cancer: A Propensity Score-matched Study.

In vivo (Athens, Greece)·2026

Same journal

Efficacy of Switching from Prior Nonsteroidal Anti-inflammatory Drugs to Transdermal Diclofenac in Cancer Pain Management.

In vivo (Athens, Greece)·2026

Same journal

Inhibition of Plasminogen Activator Inhibitor-1 (PAI-1) by Tiplaxtinin Attenuates the Aggressive Phenotype of Vulvar Squamous Cell Carcinoma Cells <i>In Vitro</i>.

In vivo (Athens, Greece)·2026

Same journal

Prognostic Value of Liver Function-based Scores in Hepatocellular Carcinoma Patients Undergoing Liver Transplantation.

In vivo (Athens, Greece)·2026

See all related articles

Animal models using fluorescent protein-transfected tumor cells offer advanced insights into tumor progression and dissemination. These models enable simultaneous monitoring, quantification, and visualization of tumor cells and their physiological responses in vivo.

Area of Science:

Oncology
Biomedical Imaging
Animal Models

Background:

Accurate animal models are crucial for understanding tumor progression and identifying therapeutic targets.
Existing models often lack the ability to simultaneously monitor tumor cells, quantify them, and assess physiological events.
The ideal tumor model requires integrated capabilities for real-time observation and analysis of tumor behavior.

Purpose of the Study:

To review current and past research on animal models utilizing fluorescent protein-transfected tumor cells.
To highlight the potential of these advanced models in cancer research.
To explore the application of fluorescent proteins for monitoring physiological responses within tumors in vivo.

Main Methods:

Development and application of fluorescent protein-based techniques for tumor cell detection and quantification.

More Related Videos

Fluorescent Orthotopic Mouse Model of Pancreatic Cancer

Fluorescent Orthotopic Mouse Model of Pancreatic Cancer

Published on: September 20, 2016

Dual Bioluminescence Imaging of Tumor Progression and Angiogenesis

Dual Bioluminescence Imaging of Tumor Progression and Angiogenesis

Published on: August 1, 2019

Related Experiment Videos

Last Updated: May 20, 2026

Fluorescence Molecular Tomography for In Vivo Imaging of Glioblastoma Xenografts

Fluorescence Molecular Tomography for In Vivo Imaging of Glioblastoma Xenografts

Published on: April 26, 2018

Fluorescent Orthotopic Mouse Model of Pancreatic Cancer

Fluorescent Orthotopic Mouse Model of Pancreatic Cancer

Published on: September 20, 2016

Dual Bioluminescence Imaging of Tumor Progression and Angiogenesis

Dual Bioluminescence Imaging of Tumor Progression and Angiogenesis

Published on: August 1, 2019

Utilizing genetically encoded fluorescent proteins to visualize tumor cells within whole organs.

Engineering biological sensors using fluorescent proteins to monitor tumor cell physiology in living animals.

Main Results:

Fluorescent protein-based methods allow for sensitive quantification and visualization of tumor cells.
These techniques enable parallel monitoring of physiological events associated with tumor progression and dissemination.
Genetically encoded fluorescent proteins serve as effective tools for developing in vivo biological sensors.

Conclusions:

Animal models with fluorescent protein-transfected tumor cells represent a significant advancement in cancer research.
These models provide unprecedented simultaneous insights into tumor dynamics, including cell behavior and physiological reactions.
The reviewed approaches offer promising perspectives for developing novel cancer therapies and diagnostic tools.